Patent Publication Number: US-11038704-B2

Title: Video conference system

Description:
BACKGROUND 
     Field 
     Embodiments of the present disclosure generally relate to video conferencing systems. 
     Description of the Related Art 
     Video conferencing has become more popular in recent years, thanks in large part to proliferation of high speed Internet and price reductions in camera equipment. For example, dedicated video conferencing locations exist where rooms and technological resources are dedicated solely to the task of video conferencing. These video conferencing locations can include multiple cameras, microphones, and other peripheral equipment, which can be used to dynamically switch the audio and video transmitted from the video conferencing location during the video conference. This dynamic switching of the audio and video transmitted from the video conferencing location can improve the user experience during the video conference. For example, camera views and audio inputs can be switched, so that the current speaker can be seen and heard more clearly. 
     However, having multiple camera views and audio inputs comes with the cost of the need for increased data transfer capability, increased number of data channels and/or increased signal processing demands. These increased data transfer requirements and corresponding processing can limit the bandwidth available to transfer and process the desired audio and video for the video conference, which reduces the benefits offered by the ability to dynamically switch between different audio and video inputs. 
     Therefore, there is a need for an improved video conferencing system that can more efficiently manage the capture, processing, relay, and transmission of audio and video with respect to a video conference environment. 
     SUMMARY 
     Embodiments of the disclosure provided herein can be used to improve the control, selection and transmission of data (e.g., audio and video data) to a remote video conferencing environment, by use of a plurality of wired or wirelessly connected electronic devices. For example, the transmission of data from a local environment can be improved by switching the source of visual inputs (e.g., discrete cameras or those incorporated within a display of an electronic device, such as laptop) and/or audio inputs (e.g., discrete or embedded microphones) to the one or more appropriate visual and/or audio sources available within the local environment. The most appropriate visual and audio sources can be the sources that provide the participants in the remote environment the most relevant data giving the remote users the best understanding of the current activities (e.g., discussion, presentation, notes on a whiteboard, etc.) in the local environment. 
     In one embodiment, a computer implemented method of selecting a source of content data from a plurality of peripheral devices that are positioned in a first environment is provided. The plurality of peripheral devices include a first plurality of peripheral devices that are configured to provide a first content data type. The method includes receiving metadata comprising a data confidence level from at least two peripheral devices of the first plurality of peripheral devices, wherein the at least two peripheral devices include a first peripheral device. The method further includes selecting the first peripheral device as a source for the first content data type based at least in part on a comparison of the data confidence level of the first peripheral device to the data confidence level of one or more other peripheral devices in the first plurality of peripheral devices. The method further includes transmitting, by a conference hub, content data received from the first peripheral device to a remote video conferencing location, wherein the metadata consists of data other than the received content data. 
     In another embodiment, a system for selecting a source of content data from a first environment to transmit to a remote environment is provided. The system includes a plurality of peripheral devices including a first plurality of peripheral devices that are configured to provide a first content data type; and a controlling device configured to: receive metadata comprising a data confidence level from at least two peripheral devices of the first plurality of peripheral devices, wherein the at least two peripheral devices include a first peripheral device; select the first peripheral device as a source for the first content data type based at least in part on a comparison of the data confidence level of the first peripheral device to the data confidence level of one or more other peripheral devices in the first plurality of peripheral devices; and initiate a transmission of content data from the first peripheral device to a remote video conferencing location, wherein the metadata consists of data other than content data. 
     In another embodiment, a system for transmitting content data from a first environment to a remote environment. The system includes a first plurality of peripheral devices disposed in a first environment and configured to initiate a transmission of content data from the first environment to a remote environment. The first plurality of peripheral devices includes a controlling peripheral device. Each peripheral device other than the controlling peripheral device is configured to transmit data including a data confidence level to the controlling peripheral device. The controlling peripheral device is configured to select a peripheral device other than the controlling peripheral device or the controlling peripheral device as a source of content data of a first type based on comparing a data confidence level of the controlling peripheral device to data confidence levels received from other peripheral devices, and initiate a transmission of content data of the first type from the selected source to the remote environment. 
     In another embodiment, a computer implemented method of improving a process for selecting a source of content data from a plurality of peripheral devices that are positioned in a first environment is provided. The plurality of peripheral devices includes a first plurality of peripheral devices that are configured to provide a first content data type. The method includes: receiving, by a controlling device, content data and metadata comprising a data confidence level from a first peripheral device and a second peripheral device of the first plurality of peripheral devices; comparing, by the controlling device, the content data received from the first peripheral device and the second peripheral device, determining there is a data confidence level accuracy issue with one or more of the first peripheral device and the second peripheral device based on analyzing the data confidence levels received from the peripheral devices and the comparison of the received content data; and transmitting, by the controlling device, a notification signal to each peripheral device of the first peripheral device and the second peripheral device for which the data confidence level accuracy issue was determined, wherein the notification signal includes data to notify the peripheral device that there is an accuracy issue with the data confidence level received by the controlling device from the peripheral device. 
     In another embodiment, a computer implemented method of transmitting content data from one or more of a plurality of peripheral devices that are positioned in a first environment to a remote environment is provided. The plurality of peripheral devices include a first peripheral device and a second peripheral device. The method includes: determining the content data from the first peripheral device has a higher quality than the content data from the second peripheral device based on a comparison of metadata provided from the first peripheral device and the second peripheral device; transmitting content data from the first peripheral device to a conference hub via a first communication link based on determining the content data from the first peripheral device has a higher quality than the content data from the second peripheral device; and transmitting, by the conference hub, the content data from the first peripheral device to a remote video conferencing location, wherein the metadata consists of data other than content data. 
     In another embodiment, a system for transmitting content data from one or more of a plurality of peripheral devices that are positioned in a first environment to a remote environment is provided. The system includes a conference hub and a plurality of peripheral devices including a first peripheral device and one or more other peripheral devices. A primary peripheral device of the plurality of peripheral devices is configured to compare metadata relating to content data provided from the first peripheral device and the one or more other peripheral devices to determine the content data from the first peripheral device has a higher quality than the content data from the one or more other peripheral devices. The first peripheral device is configured to transmit content data from the first peripheral device to the conference hub via a first communication link based on determining the content data from the first peripheral device has a higher quality than the content data from the one or more other peripheral devices. The conference hub is configured to transmit the content data from the first peripheral device to a remote video conferencing location. The metadata consists of data other than content data. 
     In another embodiment, a system for transmitting content data from one or more of a plurality of peripheral devices that are positioned in a first environment to a remote environment is provided. The system includes a conference hub and a plurality of peripheral devices peripheral devices including a first peripheral device and a second peripheral device. The conference hub is configured to compare metadata provided from the first peripheral device and the second peripheral device to determine the content data from the first peripheral device has a higher quality than the content data from the second peripheral device. The first peripheral device is configured to transmit content data from the first peripheral device to the conference hub via a first communication link based on determining the content data from the first peripheral device has a higher quality than the content data from the second peripheral device. The conference hub is configured to transmit the content data from the first peripheral device to a remote video conferencing location. The metadata consists of data other than content data. 
     In another embodiment, a computer implemented method of selecting a source of content data from a plurality of peripheral devices that are positioned in a first environment is provided. The plurality of peripheral devices are in communication with a conference hub and the plurality of peripheral devices include a first peripheral device, a second peripheral device, and a third peripheral device. The method includes transmitting scene data from one or more of the plurality of peripheral devices to one or more of the plurality of peripheral devices via a first communication link during a first time period, wherein the scene data consists of one or more of content data, reduced quality content data, and metadata. The method further includes transmitting content data from the third peripheral device to the conference hub via a second communication link during the first time period, wherein the second communication link and the first communication link are different communication links. The method further includes determining, during the first time period, that the first peripheral device has a better view of a key participant relative to the second peripheral device based on comparing scene data from the first peripheral device and the second peripheral device. The method further includes determining to provide content data of the key participant to a remote video conferencing location during a second time period, the second time period occurring after the first time period. The method further includes transmitting content data from the first peripheral device to the conference hub via the second communication link during the second time period based on the determination that the first peripheral device has the better view of the key participant during the first time period and the determining to provide content data of the key participant during the second time period. The method further includes transmitting, by the conference hub, the content data of the key participant from the first peripheral device to the remote video conferencing location during the second time period. 
     In another embodiment, a computer implemented method of selecting a source of content data from a plurality of peripheral devices that are positioned in a first environment is provided. The plurality of peripheral devices are in communication with a conference hub and the plurality of peripheral devices include a first peripheral device, a second peripheral device, and a third peripheral device. The method includes transmitting scene data from one or more of the plurality of peripheral devices to one or more of the plurality of peripheral devices via a first communication link during a first time period, wherein the scene data consists of one or more of content data, reduced quality content data, and metadata. The method further includes transmitting content data from the third peripheral device to the conference hub via a second communication link during the first time period, wherein the second communication link and the first communication link are different communication links. The method further includes determining, during the first time period, that the first peripheral device has a better view of a first region relative to the second peripheral device based on comparing scene data from the first peripheral device and the second peripheral device. The method further includes determining to provide content data of the first region to a remote video conferencing location during a second time period, the second time period occurring after the first time period. The method further includes transmitting content data from the first peripheral device to the conference hub via the second communication link during the second time period based on the determination that the first peripheral device has the better view of the first region during the first time period and the determining to provide content data of the first region during the second time period. The method further includes transmitting, by the conference hub, the content data of the first region from the first peripheral device to the remote video conferencing location during the second time period. 
     A computer implemented method of selecting a source of content data from a plurality of peripheral devices that are positioned in a first environment is provided. The plurality of peripheral devices are in communication with a conference hub and the plurality of peripheral devices include a first peripheral device, a second peripheral device, and a third peripheral device. The method includes transmitting scene data from one or more of the first peripheral device and the second peripheral device via a first communication link during a first time period, wherein the scene data consists of one or more of content data, reduced quality content data, and metadata. The method further includes determining content data from the first peripheral device and the second peripheral device are insufficient for providing quality content data of a key participant during the first time period based on analyzing the scene data from the first peripheral device and the second peripheral device. The method further includes transmitting a request for scene data concerning the key participant to the third peripheral device during a second time period, the second time period occurring after the first time period. The method further includes transmitting scene data from the third peripheral device during the second time period. The method further includes determining content data from the third peripheral device is sufficient for providing quality content data of the key participant during the second time period based on analyzing the scene data from the third peripheral device. The method further includes determining to provide content data of the key participant to a remote video conferencing location during a third time period, the third time period occurring after the second time period. The method further includes transmitting content data from the third peripheral device to the conference hub via a second communication link during the third time period based on the determination that content data from the third peripheral device is sufficient for providing quality content data of the key participant during the second time period and the third time period. The method further includes transmitting, by the conference hub, the content data of the key participant from the third peripheral device to the remote video conferencing location during the third time period. 
     In another embodiment, a computer implemented method of selecting a source of content data from a plurality of peripheral devices that are positioned in a first environment is provided. The plurality of peripheral devices are in communication with a conference hub and the plurality of peripheral devices include a first peripheral device, a second peripheral device, and a third peripheral device. The method includes transmitting content data derived from data captured by the first peripheral device to a remote video conferencing location during a first time period. The method further includes transmitting scene data from a second peripheral device to a third peripheral device during the first time period. The method further includes determining, during the first time period, that the second peripheral device has a better view of a key participant relative to the third peripheral device based on comparing scene data from the second peripheral device and the third peripheral device. The method further includes transmitting content data derived from data captured by the second peripheral device to the remote video conferencing location during a second time period based on the determining the second peripheral device has a better view of the key participant than the third peripheral device during the first time period and based on determining to provide content of the key participant during the second time period, wherein the second time period occurs after the first time period. 
     In another embodiment, a computer implemented method of transmitting content data from one or more of a plurality of peripheral devices that are positioned in a first environment to a remote environment is provided. The plurality of peripheral devices include a first peripheral device and a second peripheral device. The method includes determining the content data from the first peripheral device has a higher quality than the content data from the second peripheral device based on a comparison of content data generated by the first peripheral device and content data generated by the second peripheral device. The method further includes transmitting content data from the first peripheral device to a conference hub via a first communication link based on determining the content data from the first peripheral device has a higher quality than the content data from the second peripheral device. The method further includes transmitting, by the conference hub, the content data from the first peripheral device to a remote video conferencing location. 
     In another embodiment, a system for transmitting content data from one or more of a plurality of peripheral devices that are positioned in a first environment to a remote environment is provided. The system includes a conference hub and a plurality of peripheral devices including a first peripheral device and one or more other peripheral devices. A peripheral device of the plurality of peripheral devices designated as a primary peripheral device is configured to compare content data from the first peripheral device and the one or more other peripheral devices to determine the content data from the first peripheral device has a higher quality than the content data from the one or more other peripheral devices. The first peripheral device is configured to transmit content data from the first peripheral device to the conference hub via a first communication link based on determining the content data from the first peripheral device has a higher quality than the content data from the one or more other peripheral devices. The conference hub is configured to transmit the content data from the first peripheral device to a remote video conferencing location. 
     In another embodiment, a system for transmitting content data from one or more of a plurality of peripheral devices that are positioned in a first environment to a remote environment is provided. The system includes a conference hub; and a plurality of peripheral devices peripheral devices including a first peripheral device and a second peripheral device. The conference hub is configured to compare content data from the first peripheral device and the second peripheral device to determine the content data from the first peripheral device has a higher quality than the content data from the second peripheral device. The first peripheral device is configured to transmit content data from the first peripheral device to the conference hub via a first communication link based on determining the content data from the first peripheral device has a higher quality than the content data from the second peripheral device. The conference hub is configured to transmit the content data from the first peripheral device to a remote video conferencing location. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       So that the manner in which the above recited features of the present disclosure can be understood in detail, a more particular description of the disclosure, briefly summarized above, may be had by reference to embodiments, some of which are illustrated in the appended drawings. It is to be noted, however, that the appended drawings illustrate only exemplary embodiments and are therefore not to be considered limiting of its scope, and may admit to other equally effective embodiments. 
         FIG. 1A  is a block diagram of a video conferencing system, according to one embodiment. 
         FIG. 1B  is a top view of a local environment shown in the video conferencing system of  FIG. 1A , according to one embodiment. 
         FIG. 1C  is a process flow diagram of a method for selecting a source for a first type of content in the local environment and transmitting content from the selected source to the remote environment, according to one embodiment. 
         FIG. 1D  is a process flow diagram of a method for selecting a source for a first type of content in the local environment and initiating the transmission of content from the selected source to the remote environment, according to one embodiment. 
         FIG. 1E  is a process flow diagram of a method for improving the process for identifying the most appropriate source of content to send to a remote environment, according to one embodiment. 
         FIG. 2A  illustrates an example of an audible signal processing device interacting with an audible source and a source of unwanted audio, according to one embodiment. 
         FIG. 2B  illustrates the delays that will be seen by the microphones of  FIG. 2A  when these microphones detect the same audible signals that are generated by the audible source of  FIG. 2A , according to one embodiment. 
         FIG. 3  illustrates a group of users sitting at the conference table in the local environment, according to one embodiment. 
         FIG. 4  is a process flow diagram of a method for selecting a source for delivering a first type of content data within the local environment and transmitting content data from the selected source to the remote environment, according to one embodiment. 
         FIG. 5A  is a process flow diagram of a method for selecting a source for providing visual content of a key participant in the local environment and transmitting content of the key participant from the selected source to the remote environment, according to one embodiment. 
         FIG. 5B  is a process flow diagram of a method for selecting a source for providing visual content of a key region in the local environment and transmitting content of the key region from the selected source to the remote environment, according to one embodiment. 
         FIG. 5C  is a process flow diagram of a method for selecting a source for providing visual content of a key participant in the local environment and transmitting content of the key participant from the selected source to the remote environment, according to one embodiment. 
         FIG. 6  is a process flow diagram of a method for selecting a source for a first type of content in the local environment and transmitting content from the selected source to the remote environment, according to one embodiment. 
     
    
    
     To facilitate understanding, identical reference numerals have been used, where possible, to designate identical elements that are common to the figures. It is contemplated that elements and features of one embodiment may be beneficially incorporated in other embodiments without further recitation. 
     DETAILED DESCRIPTION 
     Embodiments of the disclosure provided herein can be used to improve the control, selection and transmission of data (e.g., audio and video data) to a remote video conferencing environment, by use of a plurality of wired or wirelessly connected electronic devices. For example, the transmission of data from a local environment can be improved by switching the source of visual inputs (e.g., discrete cameras or those incorporated within a display of an electronic device, such as laptop) and/or audio inputs (e.g., discrete or embedded microphones) to the one or more appropriate visual and/or audio sources available within the local environment. The most appropriate visual and audio sources can be the sources that provide the participants in the remote environment the most relevant data giving the remote users the best understanding of the current activities (e.g., discussion, presentation, notes on a whiteboard, etc.) in the local environment. For example, when a first participant in the local environment begins speaking, the most appropriate audio source may be a first microphone that is closest to the first participant in the local environment, but a few seconds later after another participant starts making a distracting noise (e.g., shuffling papers) near the first microphone, then most appropriate audio source may be a second microphone even though the second microphone is further from the first participant than the first microphone is to the first participant. The following describes how these improvements in selecting the most appropriate visual and audio sources can be achieved. 
       FIG. 1A  is a block diagram of a video conferencing system  100 , according to one embodiment. The video conferencing system  100  includes a local environment  101  (first environment), a remote environment  102  (second environment), and one or more servers  105  accessible on an Internet environment  103 . The local environment can be connected with the remote environment  102  and the Internet environment  103  through an Internet-connected router  120 .  FIG. 1B  is a top view of the local environment  101  shown in  FIG. 1A , according to one embodiment. A video conference can be executed between the local environment  101  and the remote environment  102  via the Internet environment  103 . Furthermore, although the video conference is shown as being executed between the local environment  101  and the remote environment  102  via the Internet environment  103 , the connection through the Internet environment  103  is only shown as an example, and the benefits of this disclosure can also be obtained without use of a global computer network, such as the “Internet.” For example, in some embodiments, the local environment  101  may communicate to the remote environment  102  across a local area network (LAN), wide area network (WAN) or other network that does not require an Internet connection to communicate. The following describes the video conferencing system  100  with reference to  FIGS. 1A and 1B . 
     The local environment  101  includes a variety of peripheral devices that can be used during a video conference. The peripheral devices in the local environment  101  include devices that can be used to obtain visual and/or audio content (e.g., cameras, microphones, portable electronic devices, laptop computers, and electronic whiteboards) as well as any other sensors (e.g., motion sensor) or other devices (e.g., electrical switches, touch screens, smart televisions, communication equipment, etc.) that can be used to assist in obtaining the visual and/or audio content being generated within the local environment  101 . The local environment  101  may include a conference hub  110  that can communicate with the peripheral devices within the local environment  101 , for example by receiving audio data, visual data (e.g., video or images), and or other data (e.g., motion detected) from the peripheral devices. The conference hub  110  is configured to communicate with one or more of the peripheral devices by use of wired, wireless, or a combination thereof signal transfer methods using one or more communication links. Additionally, the conference hub  110  can determine and transmit the most appropriate audio and visual data from the peripheral devices of the local environment  101  to the remote environment  102  via a communication link. Although the conference hub  110  is shown in the local environment  101 , in some embodiments, the conference hub  110  can be located elsewhere, such as in the Internet environment  103 . 
     The term communication link as used herein generally includes a communication path between two communicating devices (e.g., conference hub  110  and peripheral device, or two peripheral devices) that uses a communication protocol (or communication standards) to facilitate the communication between the devices, and may be formed by use of a wired and/or wireless technique. Communication protocols that may be used may include, but are not limited to Bluetooth, Bluetooth low energy (BLE), Infrastructure Wireless Fidelity (Wi-Fi), Soft Access Point (AP), WiFi-Direct, Address Resolution Protocol (ARP), ANT UWB, ZigBee, Wireless USB, or other useful personal area network (PAN), wide area network (WAN), local area network (LAN), wireless sensor network (WSN/WSAN), near field communication (NFC) or cellular network communication protocols. 
     The peripheral devices of the local environment  101  can be arranged in a plurality of clusters, which are each in communication with the conference hub  110  by use of a communication link to reduce the amount of data that is transferred to and processed by the conference hub  110 . The communication link may be formed by use of a wired and/or wireless technique. The peripheral devices in each cluster may communicate with each other using a wired and/or wireless technique, and the peripherals within a cluster may communicate via multiple, or different communication techniques. For example, in  FIG. 1A , the peripheral devices of the local environment  101  are arranged in four clusters  141 - 144 . Each cluster  141 - 144  can communicate with the conference hub  110  over a respective communication link  151 - 154 . Often a single peripheral device of a given cluster can be used to directly communicate with the conference hub  110 , which reduces the number of peripheral devices that the conference hub directly communicates with during a video conference. Furthermore, the single peripheral device in the given cluster can determine that it is desirable to send less data to the conference hub  110  relative to the amount of data received by the single peripheral device from the other peripheral devices in the given cluster. 
     The conference hub  110  can further communicate to the router  120  over a communication link  155 . The router can be connected to the Internet environment  103  through a communication link  156 , and the remote environment  102  can be connected to the Internet environment through a communication link  157 . The communication links  151 - 157  can include wired and/or wireless communication links, as discussed herein. Furthermore, the various communication links amongst devices and clusters described herein may be discrete or shared. 
     Each peripheral device of a given cluster can communicate with some or all of the other peripheral devices of that cluster, for example using a peer-to-peer arrangement or a master-slave arrangement, each of which can be a wired and/or wireless form of communication. In some embodiments, the master-slave architecture of a cluster is used so that only one peripheral device (i.e., master, also referred to as a primary peripheral device) of the cluster of peripheral devices communicates directly with the conference hub  110  over the respective communication link for that cluster. Furthermore, the master device of a cluster can aggregate the data received from the other peripheral devices in that cluster before transferring data to the conference hub  110 . 
     In general, each of the peripheral devices described herein may include a processor (e.g., central processing unit (CPU), a digital signal processor (DSP), and/or application-specific integrated circuits (ASIC)) that is able to execute software programs stored in non-volatile memory (not shown) so as to perform various processes based on a peripheral device&#39;s designed functionality. The software applications include program code (e.g., algorithms) that may be executed by processor in order to perform various functionalities associated with receiving and analyzing data (e.g., audio and/or visual data) received from sources within the local environment, perform some logic operations and/or communication with other peripheral devices and the conference hub. The memory may also include stored media data that includes various data files, settings and/or parameters associated with the local environment, peripheral devices and/or the conference hub  110  that can be used by a software application to perform one or more of the methods described herein. 
     The communication links  151 - 154  are shown between the conference hub  110  and the clusters  141 - 144  instead of an individual device because the specific device of a cluster that communicates with the conference hub  110  may switch over time. For example, the first cluster  141  includes a first peripheral device  161  (e.g., a wide angle camera) and a second peripheral device  162  (e.g., a pan-tilt-zoom (PTZ) camera). Continuing the example, at the beginning of a video conference, the conference hub  110  may communicate directly with the first peripheral device  161 , while at the end of the video conference, the conference hub  110  may be communicating directly with the second peripheral device  162  instead of the first peripheral device  161 . 
     Referring to  FIGS. 1A and 1B , the local environment  101  can further include a main display  135  and a conference table  137  at which users can sit during a video conference. During the video conference, users in the local environment  101  can look at the main display  135  located on a front wall  101 F of the local environment  101 . The main display  135  can be used to display visual data from the remote environment  102  (e.g., visual data of the participants at the remote environment  102 ) as well as other data relevant to the video conference, such as notes from a whiteboard or a presentation on an electronic device located at either environment  101 ,  102  or another location. The conference table  137  includes a right side  137 R, a left side  137 L, a front  137 F, and a back  137 B. The following paragraphs describe the peripheral devices of each cluster  141 - 144 , so that the improvements of transmitting audio and video data from the local environment  101  to the remote environment  102  can be more easily understood. 
     The first cluster  141  can be used to obtain audio and visual data to provide an overview of the local environment  101 . The first cluster  141  includes a wide angle camera  161 , a PTZ camera  162 , and an overview microphone  163 . For example, in one embodiment, the cameras  161 ,  162  can be located on a back wall  101 B of the local environment  101 , so that the wide angle camera  161  can capture an overview of the local environment  101  while the PTZ camera  162  can pan, tilt, and zoom to a specific location (e.g., the location of a given speaker) of the overview captured by the wide angle camera  161 . This overview generally includes a view of the conference table  137  and can be useful, for example to see all of the participants in the local environment  101  for the video conference. The PTZ camera  162  can be useful, for example, if a current speaker is standing in the front of the local environment  101  or seated at the head of the front  137 F of the conference table  137 . The overview microphone  163  can be located in an area likely to receive adequate audio input during most conferences, such as over the conference table  137 . The first cluster  141  can communicate with the conference hub  110  and/or the other clusters  142 - 144  using the first communication link  151 . 
     The microphones in the local environment  101  (e.g., overview microphone  163 ) can be any type of electrical device that is able to convert pressure variations of a sound wave into an electrical signal, and thus may include, but are not limited to a dynamic microphone, condenser microphone, piezoelectric microphone, fiber optic microphone, ribbon microphone, MEMS microphone or other similar device. In some embodiments, the microphones in the local environment  101  can be omnidirectional microphones that are able to detect audible signals from multiple directions. 
     The second cluster  142  can be used to obtain audio and visual data of the front  137 F of the conference table  137  located in the local environment  101 . The second cluster  142  can include a front right camera  171 , a front left camera  172 , a front microphone  173 , and a portable electronic device  174 . In some embodiments, each camera in the local environment  101  can be a PTZ camera except for in some of these embodiments, the wide-angle camera  161 . The front right camera  171  can be directed to view the front right side of the conference table  137 . The front left camera  172  can be directed to view the front left side of the conference table  137 . The front microphone  173  can be positioned to receive audio at the front  137 F of the conference table  137 . The portable electronic device  174  can be located at the front  137 F of the conference table  137  in  FIG. 1B , but the portable electronic device  174  can move or be moved throughout a video conference. In some embodiments, the portable electronic device  174  can be configured to join one of the clusters  141 - 144  based on the position of the portable electronic device  174  within the local environment  101 . The portable electronic device  174  can be a tablet computing device, a laptop computer, a cell phone (e.g., smart phone), or another similar electronic device. The second cluster  142  can communicate with the conference hub  110  and/or the other clusters  141 ,  143 ,  144  using the second communication link  152 . 
     The third cluster  143  can be used to obtain audio and visual data of the back of the conference table  137  located in the local environment  101 . The third cluster  143  can include a back right camera  181 , a back left camera  182 , and a back microphone  183 . The back right camera  181  can be directed to view the back right side of the conference table  137 . The back left camera  182  can be directed to view the back left side of the conference table  137 . The back microphone  183  can be positioned to receive audio at the back of the conference table  137 . The third cluster  143  can communicate with the conference hub  110  and/or the other clusters  141 ,  142 ,  144  using the third communication link  153 . 
     The fourth cluster  144  can be used to obtain audio and visual data of a whiteboard area located in the local environment  101 . The fourth cluster  144  can include a whiteboard camera  191 , an electronic whiteboard  192 , and a whiteboard microphone  193 . The whiteboard camera  191  can be directed to view the whiteboard  192  and surrounding area. The whiteboard microphone  193  can be positioned to receive audio around the whiteboard  192 . In some embodiments, the electronic whiteboard  192  can include sensors and other inputs to obtain input data to determine when a user is standing at the whiteboard  192 , writing on the whiteboard  192 , or otherwise interacting with the whiteboard  192  (e.g., adjusting settings of the whiteboard  192 ). Furthermore, in some embodiments, the data transferred from the whiteboard  192  can further include the contents (i.e., a digitized version of the contents) written on the whiteboard  192 . This data can be transmitted to the conference hub  110 , other peripherals within the fourth cluster  144 , and/or the other clusters  141 - 143 . The fourth cluster  144  can communicate with the conference hub  110  and/or the other clusters  141 - 143  using the fourth communication link  154 . 
     Peripheral Devices 
     In some embodiments, the peripheral devices of the different clusters  141 - 144  periodically transfer data to the conference hub  110 . The data transferred from the peripheral devices to the conference hub  110  can include one or more of (1) the type of device (e.g., camera, microphone, laptop, etc.) transmitting or generating the transmitted data, (2) the content data type (e.g., visual content data, audio content data), (3) a data confidence level (described in further detail below) of the data being transferred, and (4) the content of the data (hereafter referred to as “content data”) transmitted by the peripheral device (e.g., visual data recorded by a camera, audio recorded by a microphone, contents displayed by a portable electronic device, etc.). The data transferred from the peripheral device concerning the type of device, the content data type, data collection preference ranking, the data confidence level and other data characterizing the content data can also referred to as metadata and can be used by the conference hub  110  to determine the one or more most appropriate sources for a given type of content data (e.g., audio, visual, or combination) to transfer to the remote environment  102 . Furthermore, due to the smaller size of metadata files relative to the content data, when a peripheral device transfers only the metadata as opposed to transferring the actual content data, network congestion is reduced and the computational load on the conference hub  110  is reduced. Other examples of metadata characterizing the content data can include data indicating whether visual data includes a current speaker or key person (e.g., important client), data indicating that audio content includes unwanted noise (e.g., rattling bag of potato chips) or distracting video (e.g., a person making the distracting noise or repetitive movements, such as tapping a pencil on the table or a person moving large equipment or supplies), scene quality data indicating quality of the content, such as levels of glare in video content, levels of background noise in audio content, or one of the other examples provided below describing quality of audio data and quality of visual data. In some embodiments, the quality of audio data or visual data may be analyzed and determined by a comparison of the audio data or visual data received from the various peripheral devices by use of one or more analysis techniques. The quality of audio data can be determined based on a number of factors that may include correlation with a video image, decibel level, signal-to-noise ratio, pattern recognition, or other similar audio signal quality based parameters. The quality of visual data can be determined by use of analysis techniques that include analytical models (e.g., pixel-based methods, parametric methods, bitstream methods or hybrid methods) that analyze the visual data quality based on the information provided in one or more frames in the visual data that is being analyzed and compared, person detection, face and/or gaze detection, detection of number of people, object detection, motion detection, scene analysis (field of view, white balance, color rendering, glare detection, etc). 
     In some embodiments, metadata is also not limited to peripheral devices and can include cluster level data. For example, metadata at a cluster level can include the data identifying the number of devices in the cluster, the architecture of the cluster (e.g., master-slave relationship, ring communication relationship, or other device interconnection scheme or device hierarchy), or cluster-to-cluster relationship (e.g., data received at a given cluster from another cluster). 
     Each peripheral device within the different clusters  141 - 144  can determine when to transmit data (metadata and/or content data) between peripheral devices or to the conference hub  110  based on the input received at the given peripheral device. This input can include content data (e.g., audio recorded by a microphone or visual data recorded by a camera) captured by the peripheral device as well as data communicated to the peripheral device (e.g., a microphone may receive data regarding the status of other microphones in the local environment  101 ). For example, the overview microphone  163  may transmit audio content received at the overview microphone  163  based on determining that the received audio is above a specified threshold (e.g., a decibel level) and based on determining from a communication received from the conference hub  110  or other peripheral device that the audio data available from the overview microphone  163  has a higher quality (e.g., higher decibel level, low signal-to-noise ratio, etc.) than audio data from one or more of the other microphones within the local environment  101 . 
     Furthermore, each peripheral device can adjust the data transmitted to the conference hub  110  or other peripheral device based at least in part on the content data received at and/or generated by the given peripheral device. These adjustments can include what data is transmitted and how often data is transmitted. In some embodiments, each peripheral device can use the content data received at and/or generated by the peripheral device to determine a data confidence level for the peripheral device. The data confidence level for a peripheral device in general can be used to quantify (e.g., on a zero to 1.0 scale with 1.0 being the highest confidence) how confident the peripheral device is about the relevance of the data captured by the peripheral device to a video conference occurring in the local environment  101 . Each peripheral device can be configured with different settings and/or algorithms for determining its data confidence level. A variety of factors can be used for determining data confidence levels for different peripheral devices including but not limited to the following factors: (1) an audio data factor that includes audio level of speech, speech from a particular user, position of a speaker relative to the audio capturing device and/or interfering noise received by a microphone; (2) a visual data factor that includes motion of a participant, tracking of movement or position of a participant or current speaker, and facial recognition of a key participant (e.g., an important client attending a meeting) using a camera; and (3) a user interaction data factor that includes input related to a user&#39;s interaction with an electronic device, such as clicking to the next slide on the portable electronic device  174  or writing on the electronic whiteboard  192 . In general, the variety of factors used to determine a data confidence level relate to attributes of the content data (e.g., audio data factors, visual data factors and/or user interaction data factors) that are currently being collected, were recently collected (e.g., collected within the last second, minute or even tens of minutes) or were previously collected (e.g., not within the current video conference) by the peripheral device. 
     The “age” of a factor can also affect the data confidence level. For example, the “age” can be how recent the factor (e.g., speech) was detected and can be used to adjust the data confidence level for the data received from a peripheral device. The data confidence level applied to data transmitted from a peripheral device can begin to decay as time continues if, for example, detection of the factor does not continue, such as a data confidence level for a microphone dropping from 0.7 to 0.65 after 10 seconds of not detecting additional speech above a designated decibel level. 
     The determined data confidence level for a peripheral device can be used to adjust the data transmitted from the peripheral device. For example, if the overview microphone  163  is receiving a low level of audio, then the overview microphone can determine that the data received at that time has a data confidence level below 0.4 on a zero to 1.0 scale. The overview microphone  163  can then determine that it should not transmit any audio content data to another device that it is currently in communication with or can communicate with at that time. The microphone  163  may transmit metadata, such as the data confidence level data, so that other devices have information about the general status of the overview microphone  163 . 
     If the overview microphone  163  is receiving a mid-level of audio resulting in a data confidence level between 0.4 and 0.7, then the overview microphone  163  can determine to transmit a first set of data to another peripheral device in a cluster or the conference hub  110 . This first set of data can include the metadata described above (i.e., the type of device, content data type, and data confidence level), audio content data and/or other data. In some embodiments, this first set of data does not include the audio content data from the overview microphone  163 , which can reduce the amount of data transferred within the first cluster  141  as well as the amount of data transferred to the conference hub  110 . In other embodiments, the first set of data can include a low-resolution version of the audio content captured by the overview microphone  163 . Furthermore, in some embodiments, the overview microphone  163  may determine that it is desirable to transfer the received audio content data or a higher resolution version of the audio content data upon receiving a command to transfer the received audio data. For example, the conference hub  110  may receive a data confidence level of 0.6 from the overview microphone  163 , and upon determining that this is the highest data confidence level or one of the highest data confidence levels received from any of the microphones, a request may be sent from the conference hub  110  to the overview microphone  163  for the overview microphone  163  to transmit the high-resolution audio content data from the overview microphone  163  despite the data confidence level being below 0.7. 
     If the overview microphone  163  is receiving a high-level of audio resulting in a data confidence level greater than 0.7, then the overview microphone  163  can determine to transmit a second set of data. In some embodiments, this second set of data can include the audio content data (e.g., high-resolution audio content data) from the overview microphone  163  and some or all of the data described above, such as the metadata. If the conference hub  110  is receiving higher quality audio from other microphones, then conference hub  110  may send a request to the overview microphone  163  to stop transmitting the audio signal received at the overview microphone  163  or to instead transmit low-resolution audio content data despite the data confidence level being greater than 0.7 at the overview microphone  163 , which can help preserve bandwidth and processing resources for the higher quality audio data from other microphones. Overall, in some embodiments, peripheral devices can be configured to adjust the resolution of the content data provided by the peripheral device based on the data confidence level determined by the peripheral device and/or the data received from the conference hub  110 . For example, the overview microphone  163  could be configured to send a low-resolution version of audio content when a mid-level data confidence level is determined by the overview microphone  163  and a send a high-resolution version of audio content when a high-level data confidence level is determined by the overview microphone  163 . 
     Although the example above describes how a data confidence level can be adjusted for a microphone (i.e., overview microphone  163 ), a similar process can be used by other peripheral devices that transmit visual data (e.g., video) or audio and visual data, such as cameras, portable electronic devices, and the electronic whiteboard. Non-limiting examples can include that the data confidence level determined by a camera may (1) increase when the camera is recording video conference participants (i.e., people in the local environment  101 ), (2) further increase when one or more participants are facing the camera, (3) further increase when a current speaker is in the field of view of the camera, (4) further increase when the current speaker is facing the camera, and (5) increase further when the camera or another camera can determine that other participants in the video conference are looking at the current person who is talking within local environment  101  and who is in the field of view of the camera. 
     The data confidence level determined by the portable electronic device  174  can increase when a user is interacting with the portable electronic device  174 , for example when a click, imparted motion or keystroke is recently received at the portable electronic device  174 . Furthermore, the data confidence level determined by the portable electronic device  174  can increase when an application (e.g., PowerPoint™) typically used for presentations is displayed on the portable electronic device. 
     The data confidence level determined by the electronic whiteboard  192  can (1) increase based on determining a user is located near the electronic whiteboard  192  and (2) increase or further increase based on determining a user is interacting with the electronic whiteboard  192 , for example by writing on the electronic whiteboard  192 , gesturing towards the electronic whiteboard  192 , or speaking at the electronic whiteboard  192 . In some embodiments, the data confidence level determined for a particular peripheral device can be based on data received from the particular peripheral device as well as data received from other peripheral devices. For example, the electronic whiteboard  192  may determine that a user is standing at the electronic whiteboard  192  with a proximity sensor or a motion sensor, and data from the whiteboard camera  191  or camera from another cluster (e.g., front right camera  171 ) may be used to determine that the user who is standing at the electronic whiteboard  192  is also gesturing towards the electronic whiteboard  192 , which can be used to increase the data confidence level for the electronic whiteboard  192  relative to a case where the electronic whiteboard  192  was just used to determine its data confidence level. In some embodiments, data from one of the cameras (e.g., the whiteboard camera  191  or the front right camera  171 ) can be sent to electronic whiteboard  192  to perform additional processing. For example, if a camera detects activity near the electronic whiteboard  192  and transmits data identifying this activity to the electronic whiteboard  192 , then the electronic whiteboard  192  can exit a sleep mode and run a process to update the status of all of its inputs (e.g., update status of motion sensor, proximity sensor, digitize the contents written on the whiteboard). The electronic whiteboard  192  can process these updates from the inputs and determine whether to change the type and/or amount of data being transmitted to the conference hub  110  from the electronic whiteboard  192 . 
     Similarly, if the electronic whiteboard  192  detects activity, the electronic whiteboard  192  can transmit data to cameras commonly used to record visual data of the area around the electronic whiteboard  192 , such as the cameras  171 ,  181 ,  191 . Upon receiving the data, these cameras  171 ,  181 ,  191  can alter the internal processing performed by the camera or a signal can be transmitted to another device (e.g., the conference hub  110 ) by one of the cameras or the electronic whiteboard  192 , so that the visual data from that camera can be analyzed more closely. For example, in one embodiment, upon receiving a status signal from the electronic whiteboard  192  indicating activity around the electronic whiteboard  192 , the whiteboard camera  191  may change from executing in a low-resolution mode to executing in a high-resolution mode. In another embodiment, upon receiving a status signal from the electronic whiteboard  192  indicating activity around the electronic whiteboard  192 , the conference hub  110  may perform additional processing on the visual data (e.g., video content) received from one or more of the cameras  171 ,  181 ,  191 . This additional processing can include but is not limited to running tracking software on the visual data received from these cameras, allocating larger areas of memory for the visual data from these cameras (e.g., to ensure there is enough room in buffers and/or storage for the video content from these cameras), and performing additional analysis on the audio content received around the electronic whiteboard  192  in an effort to determine which camera  171 ,  181 ,  191  may be most appropriate to select for displaying the activity around the electronic whiteboard  192 . 
     Clusters 
     In some embodiments, only one peripheral device in each cluster  141 - 144  communicates directly with the conference hub  110 . In the following discussion a peripheral device in a cluster, which communicates directly with the conference hub  110 , is referred to as the master, or master device, while the other peripheral devices in the cluster are referred to as slaves. In some embodiments, the master devices receives data from each of the devices within the cluster and then decide based on an algorithm running on the device which of the devices within the cluster, including itself, has received the most relevant information (e.g., highest data confidence level data) that should be transferred to the conference hub  110 . The particular peripheral device of a cluster that acts as the master can be static or dynamic, and in other words will not change over time (static) or can change at any given time (dynamic). For example, the peripheral devices of the first cluster  141  can be configured in a static arrangement with the wide angle camera  161  being the designated master that communicates directly with the conference hub  110  throughout a video conference. 
     On the other hand, the peripheral devices of the first cluster  141  can be configured in a dynamic arrangement in which the peripheral device performing as the master switches over time, such as during the course of a video conference. In one embodiment, the peripheral device of a cluster that maintains the highest data confidence level for a period of time (e.g., one minute) or highest data confidence level averaged over a most recent period of time (e.g., one minute) is determined to be the master. In some embodiments, the peripheral device with the highest data confidence level in the cluster is more likely to be transferring a larger amount of data than other peripheral devices in the cluster. Thus, by selecting the peripheral device of a cluster that is more likely to be transferring a largest amount of data in the cluster as the master, the overall latency of communication between the cluster and the conference hub  110  can be reduced. This overall latency can be reduced since this larger amount of data only needs to be transferred between the master and the conference hub  110 . In another embodiment, the peripheral device selected as the master can be determined based on the type of device. For example, because a camera may transfer a much larger amount of data than a microphone, a cluster including two cameras and a microphone may determine to only dynamically switch between having one of the two cameras being selected as the master. In another embodiment, the device transmitting the largest amount of data is selected as the master. 
     The peripheral device of a cluster selected as the master can transfer to the conference hub  110  the last received data confidence level of each of the peripheral devices in the cluster. In some embodiments, the highest data confidence level of the data received by all the peripheral components in the cluster can be used to determine how frequently the master device transmits the desired data to and/or communicates with the conference hub  110 . For example, if the highest data confidence level in a cluster is in a low range (e.g., below 0.4), then the master may determine to only intermittently communicate with the conference hub  110  at a first fixed interval of time, such as every 30 seconds, or determine to not communicate to the conference hub  110  based on the low data confidence levels. Additionally, if the highest data confidence level in a cluster is in a medium range (e.g., between 0.4 and 0.7), then the master may communicate with the conference hub  110  at a second fixed interval of time, such as every 1 second or the master may communicate with the conference hub  110  using a speed that is necessary to transfer low-resolution content data, such as a low-resolution visual data from a camera in the cluster, or a low-resolution audio signal from a microphone in the cluster, or a low-resolution visual data and audio signal from the camera in the cluster. Furthermore, if the highest data confidence level in a cluster is in a high range (e.g., greater than 0.7), then the master may communicate with the conference hub  110  using a data transfer speed necessary to transfer high-resolution content data (e.g., visual data from one or more cameras). 
     As discussed above, the content data transferred or not transferred by a device within the cluster, such as the master, to the conference hub  110  can also be affected by input received from the conference hub  110 . For example, a given cluster may send high-resolution visual data to the conference hub  110  despite the highest data confidence level for a camera in the cluster being in a low-range or mid-range, for example, because the data confidence level associated with visual data from the cameras in other clusters is not any higher than the low-range or mid-range data confidence levels determined for the given cluster. 
     Although the peripheral devices are shown arranged in the clusters  141 - 144  with each peripheral device belonging to a single cluster, in some embodiments one or more of the peripheral devices can belong to two or more clusters. For example, in some embodiments the fourth cluster  144  focusing on the whiteboard area can further include the front right camera  171  and the back right camera  181  as these cameras may obtain a better view of the current speaker in the whiteboard area than the whiteboard camera  191  causing the front right camera  171  and the back right camera  181  to each belong to two clusters. In other embodiments, all cameras can be arranged in a cluster and all microphones can be arranged in a cluster, for example, in addition to the clusters  141 - 144  shown in  FIG. 1A . Arranging all cameras in a cluster can be useful for communicating information, such as identifying which camera has the best view of a key participant (e.g., important client). For example, if the front right camera  171  has a high-quality view of the key participant, then data indicating this high-quality view can be sent to the other cameras in the cluster, so that these cameras can reduce processing requirements associated with searching for the key participant. Furthermore, when the front right camera  171  loses the high quality view of the key participant or the visual data quality of the key participant is reduced, data can be transmitted from the front right camera  171  to other cameras to search for the key participant. In some embodiments, the cameras can use Address Resolution Protocol (ARP) to facilitate the communication of information between the cameras, such as which camera has the best view of an object or person. Similarly, other peripheral devices, such as microphones, can use ARP to facilitate the communication of information between the microphones, such as which microphone is receiving the best audio signal of the current speaker or a key participant. Furthermore, different types of peripheral devices can also use ARP to facilitate the communication of information, such as a data packet communicated between a camera and an electronic whiteboard. 
     In other embodiments, subsets of peripheral devices of a given type (e.g., cameras) can be arranged together in a cluster. For example, it may be useful to include all cameras on the left wall (i.e., cameras  171 ,  181 ,  191 ) when activity is detected near the electronic whiteboard  192 . In some embodiments, arranging the cameras  171 ,  181 ,  191  in a cluster can allow the cameras to directly communicate with each other, which can reduce processing demands on the conference hub  110  and other peripheral devices. In other embodiments, two or more clusters can be clustered together in various arrangements (e.g, ring, star, etc), for example with the masters of each cluster communicating to one or more of the other masters, and one or more of the masters communicating with the conference hub  110 . 
     In another embodiment, a dynamic cluster can be formed in addition to clusters having more static arrangements, such as the clusters  141 - 144  described above. For example, a dynamic cluster can be formed around the current speaker or key participant, such as a dynamic cluster including the two or more cameras having the highest quality views of the current speaker and the two or more microphones capturing the highest quality audio from the current speaker or key participant. The peripheral devices included in this dynamic cluster can then switch over time as the current speaker or key participant moves throughout the local environment  101 . Dynamic clusters can also be formed and/or saved for one or more recent speakers (e.g., a speaker within the last minute or five minutes or speaker who spoke for more than a given duration, such as ten seconds or one minute). Saving a dynamic cluster for a recent speaker can be useful as recent speakers are often likely to speak again and are often located in the same position (e.g., a same seat at a conference table) as the last time the recent speaker spoke. 
     Furthermore, in some embodiments a peripheral device (e.g., a master in a given cluster) can perform any task performed by the conference hub  110 , such as tasks discussed below in the next section. For example, in some embodiments a master of a cluster may receive visual data content from two or more cameras and determine to only send visual data content from one of the video cameras to the conference hub  110 . As another example, a peripheral device in a given cluster may request a microphone to send high quality audio content despite the microphone having a low data confidence level. In another embodiment, a peripheral device communicating to multiple cameras and multiple microphones can determine to relay only a single stream of audio content and a single stream of visual data content to the conference hub  110  based on one or more factors, such as data confidence levels or other metadata described above. In other embodiments, a peripheral device (e.g., the master of a cluster) can alter the metadata received from the other peripheral devices in the cluster. For example, a master peripheral device may transmit less metadata to the conference hub  110  than the amount of metadata received at the master peripheral device. A master peripheral device may generate additional metadata based on the metadata received from other peripheral devices. For example, the master peripheral device may receive metadata from multiple cameras and multiple microphones. The master peripheral device can then generate additional metadata to transmit to the conference hub, such as the number of cameras, or the number of cameras with a high data confidence level. In another embodiment, the master peripheral device may alter the metadata received from the peripheral devices of the cluster. For example, as discussed in further detail below, a correction factor can be applied to the data confidence level supplied by a peripheral device, and this instance the master peripheral device can apply this correction factor to the data confidence level of the peripheral device. Then the master peripheral device can transmit the corrected data confidence level to the conference hub  110 . 
     In many embodiments, communication between peripheral devices can be arranged to be bi-directional, such as each peripheral slave device in a cluster transmitting data to and receiving data from the master of the cluster. However, in some embodiments, to reduce processing demands on one or more of the peripheral devices, one or more portions of a communication path can be arranged to be uni-directional, such as peripheral devices transmitting data to a master without the master transmitting data to the slaves of the cluster. In some of these embodiments, the arrangement to use uni-directional transmission of data may be dynamic or static. In a dynamic arrangement, a determination to switch from bi-directional can be based on factors, such as processing loads placed on a given peripheral device, such as the master of a cluster or recurring time periods. For example, updates from a master to a peripheral device of a cluster may only be transmitted every 30 seconds while data is sent from each peripheral slave device in the cluster to the master continuously or on a shorter time period, such as every 50 ms. 
     In some embodiments, scene data (i.e. content data, reduced quality content data (e.g., content data that has a lower resolution, such as 720p versus 1080p video resolution and/or audio data resolution), metadata, or other related data) are transferred between peripheral devices, the peripheral devices and the conference hub  110 , or the master peripheral device and the conference hub  110 , using different communication links to reduce the amount of data transmitted on a single communication link. 
     Conference Hub 
     Although the following describes the conference hub  110  as a separate electronic device that is not also a peripheral device, in some embodiments, a peripheral device (e.g., a camera) can perform all of the tasks described below as being performed by the conference hub  110 . In such embodiments, a particular peripheral device may be configured to communicate to each peripheral device, at a given location, either directly or indirectly (e.g., by communicating to a peripheral device in each cluster at the given location). Furthermore, in such embodiments, a separate conference hub  110  would not be required. In general, (1) a peripheral device performing the tasks described below as being performed by the conference hub  110 , (2) a peripheral device acting as the master of a cluster, and (3) the conference hub  110  can also be referred to as a controlling device. Additionally, a controlling device can be referred to as a controlling peripheral device when the device is also a peripheral device. Moreover, any controlling device can initiate a transmission of content data to the remote environment  102  regardless of whether the communication passes through other electronic devices in the local environment  101 . 
     The conference hub  110  can determine the data to transfer to the remote environment  102  by analyzing the data received from each of the clusters  141 - 144 . The data transferred from the peripheral devices of different clusters  141 - 144  to the conference hub  110  can include the metadata described above (i.e., the type of device, content data type, and data confidence level for the peripheral device) and the content data (e.g., visual data recorded by a camera, audio recorded by a microphone, contents displayed by portable electronic device, etc.). The metadata transferred from the peripheral device of the different clusters  141 - 144  can be used by the conference hub  110  to determine the one or more most appropriate sources (e.g., overview microphone  163 , whiteboard camera  191 , etc.) for a given content data type (e.g., audio or visual) to transfer to the remote environment  102 . For devices that can transfer both audio and visual data (e.g., the portable electronic device), these devices can be selected as a source for audio data, visual data, or both. 
     For example, the local environment  101  includes seven different cameras, and the conference hub  110  may determine that the front left camera  172  is the most appropriate source of visual data to transfer to the remote environment  102  based on the front left camera  172  having the highest data confidence level of the seven cameras in the local environment  101 . Furthermore, continuing the example, the conference hub  110  may determine that the overview microphone  163  is the most appropriate source of audio to transfer to the remote environment  102  based on the overview microphone  163  having the highest data confidence level of the four microphones in the local environment  101 . Thus, the source of audio and video data may come from different clusters, such as the audio source coming from the overview microphone  163  of the first cluster  141  and the video source coming from the left camera  172  of the second cluster  142 . 
     In some embodiments, the conference hub  110  can use criteria other than the data confidence level received from each peripheral device to determine the most appropriate sources of audio and visual content. For example, in one embodiment, the conference hub  110  can factor in the received audio content to assist in determining the most appropriate camera to use as the visual source to transmit to the remote environment  102 . For example, the conference hub  110  may determine to use the back right camera  181  as the visual feed to transmit to the remote environment  102  instead of the front right camera  171  based on the back microphone  183  receiving a stronger audio signal than the front microphone  173  despite the front right camera  171  having a higher data confidence level than the back right camera  181 . 
     Furthermore, in some embodiments, the conference hub  110  can include adjustments (e.g., adjustments executed by software running on the conference hub  110 ) to normalize the data confidence levels received from different peripheral devices (e.g., cameras from different manufacturers), so that a comparison of data confidence levels between two peripheral devices is more useful. For example, it may be observed that a view from the back right camera  181  at a data confidence level of 0.7 is generally more useful than a view from the front right camera  171  at a data confidence level of 0.8. Thus, the conference hub  110  may determine to add a correction factor to the data confidence level of the back right camera  181  of, for example 0.11, when a comparison of the data confidence levels between the front right camera  171  and the back right camera  181  is made for selecting a source of visual content to transmit to the remote environment  102 . The addition of a correction factor of 0.11 is an example of a relatively simple adjustment, and the implementation of the correction factors having higher degrees of complexity are contemplated by this disclosure. In one example, use of weighted coefficients based on historical or current data collection results, which are stored in memory, could be used to make adjustments to the correction factor. 
     Furthermore, as illustrated by the discussion above, the processing of the content data can be distributed between three different levels including (1) the peripheral device level, (2) the cluster level, and (3) the content hub level. A device at each level can determine whether or not to transmit the content data from a particular peripheral device. For example, at the first level a given peripheral device may determine whether or not to transmit the content data captured by that given peripheral device. Continuing the example, at the second level, if the master of a cluster receives content data from the given peripheral device, then the master of the cluster may determine whether or not to transmit the content data captured by the given peripheral device to the conference hub  110 . Further continuing the example, at the third level, if the conference hub  110  receives content data from the given peripheral device, then the conference hub  110  may determine whether or not to transmit the content data captured by the given peripheral device to the remote environment  102 . 
     In some embodiments, more than one source of content data (e.g., visual data) may be transferred to the remote environment  102 . For example, the display device (not shown) located in the remote environment  102  may be configured to display two or more views from the local environment  101 , such as a main display and an auxiliary display. In one embodiment, the main display can be the source of visual data from the local environment  101  with the highest data confidence level, such as visual data from a camera recording the current speaker in the local environment  101  or visual data from the portable electronic device  174  in the local environment  101  showing a slide of an active presentation. The auxiliary display can be the source of visual data from the local environment  101  with the second highest data confidence level or visual data that is frequently used during video conferences in the local environment  101 . In some cases, the auxiliary display can be the source of visual data from the local environment  101  with a data confidence level that is less than a highest data confidence level, or even second highest data confidence level, assigned to another peripheral device (e.g., main display) in a cluster of peripheral devices. For example, if the whiteboard  192  is frequently used during video conferences in the local environment  101 , but the whiteboard  192  is currently inactive, then the auxiliary display in the remote environment  102  may show a grayed out or a low-resolution version of the auxiliary display until the whiteboard  192  becomes active. 
     In other embodiments, auxiliary content data can also be transmitted to the remote environment  102  without being provided to the users at the remote environment. For example, in one embodiment, the conference hub  110  may transmit an auxiliary source of audio content and visual content to the remote environment. These auxiliary sources of content can then immediately be used by the remote environment  102  if a problem occurs with the audio and visual content data that was being provided to users at the remote environment  102  from other audio and visual sources. In some embodiments, the auxiliary sources of content data include the devices having the second highest data confidence levels for that type of content data (e.g., audio or visual data). 
     The conference hub  110  includes a processor  110 A, a memory unit  110 B, and I/O hardware  110 C. Although shown as one device, in some embodiments the functions described herein as being performed by the conference hub  110  can be performed by two or more devices (not shown). 
     The processor  110 A may include a central processing unit (CPU), a digital signal processor (DSP), and/or application-specific integrated circuits (ASIC), and other useful components. The processor  110 A may be used to execute software programs stored in the memory unit  110 B in order to perform various functionalities associated with the video conferencing system  100 , such as determining what audio and visual content data to transmit from the local environment  101  to the remote environment  102 . The memory unit  110 B may be any technically feasible type of hardware unit configured to store data. For example, memory unit  110 B can include some form of one or more of non-volatile memory, such as a hard disk, a random access memory (RAM) module, a flash memory unit, or a combination of different hardware units configured to store data. Memory unit  110 B can include memory for storing data received from various peripheral devices, such as the metadata or other data described above. Memory unit  110 B can further include sufficient memory to serve as a buffer for temporarily storing content data from the various peripheral devices, so that the conference hub  110  can seamlessly switch between different sources of audio and/or visual sources of content. Memory unit  110 B may include one or more software applications. The memory unit  110 B may also include stored media data that is used by the processor  110 A to perform various parts of the methods described herein. The software application, which is stored within the memory unit  110 B, includes program code that may be executed by processor  110 A in order to perform various functionalities associated with the conference hub  110  and methods described herein. The stored media data may include information that is delivered to and/or received from a peripheral device or another electronic device. The stored media data may reflect various data files, settings and/or parameters associated with the local environment, peripheral devices and/or desired behavior of the conference hub  110 . 
     The I/O hardware  110 C can include one or more components for enabling the conference hub  110  to communicate with the peripheral devices in the local environment  101  as well as with the devices located in the remote environment  102  and the Internet environment  103 . For example, the I/O hardware  110 C can include one or more of a USB controller, HDMI controller, and network interface controllers for communicating with one or more of the peripheral devices and devices located in the remote environment  102  and the Internet environment  103 . 
     Selecting Content 
       FIG. 1C  is a process flow diagram of a method  1000  for selecting a source (i.e., a peripheral device) for a first type of content (e.g., audio or visual data) in the local environment  101  and transmitting content from the selected source to the remote environment  102 , according to one embodiment. The method  1000  generally includes the use of the conference hub  110  to facilitate the performance the method steps disclosed herein. Although the method  1000  is described in reference to selecting the overview microphone  163  to provide audio content to the remote environment  102 , the method  1000  also applies to selecting other audio peripheral devices to provide audio content data or for selecting other peripheral devices to provide visual content data. In some embodiments, the blocks found in the method  1000  can be repeated multiple times in an automated fashion by use of algorithms running on the various devices. 
     At block  1002 , the conference hub  110  receives metadata comprising a data confidence level from at least two peripheral devices that can provide the first type of content data (e.g., audio). For example, the conference hub  110  can receive metadata including data confidence levels from each peripheral device in each cluster  141 - 144  capable of providing the first type of content data (e.g., audio data) as shown in  FIGS. 1A, 1B . 
     At block  1004 , the conference hub  110  determines and selects the peripheral device (e.g., overview microphone  163 ) having the highest data confidence level. In some configurations, the selected peripheral device is one that is receiving data that does not include an interfering signal, such as unwanted audio for audio content or undesired visual elements for visual content as described in further detail below. In embodiments in which an interfering signal is factored into determining the data confidence levels received from the peripheral devices, the conference hub  110  can make the determination at block  1004  based on the received data confidence levels. 
     At block  1006 , the conference hub  110  determines whether the conference hub  110  is already receiving suitable content from the peripheral device selected at block  1004 . For example, if the conference hub  110  selects the overview microphone  163  as the audio peripheral device to provide audio content to the remote environment  102  at block  1004 , but the overview microphone  163  is providing audio content to the conference hub  110  at a low resolution, then the conference hub  110  may determine that high resolution audio content from the overview microphone  163  would be more suitable to send to the remote environment  102 . 
     At block  1008 , upon determining the conference hub  110  is not receiving suitable content from the peripheral device selected at block  1004 , the conference hub  110  can send a request to the peripheral device selected at block  1004  (e.g., overview microphone  163 ) to start sending suitable content (e.g., high resolution audio content) to the conference hub  110  that can then be transmitted to the remote environment  102 . If, at block  1006 , the conference hub  110  is already receiving suitable content from the peripheral device selected at block  1004  (e.g., overview microphone  163 ), then block  1008  can be skipped. 
     At block  1010 , the conference hub  110  receives suitable content data from the peripheral device selected at block  1004 . In some embodiments, the conference hub  110  may store the received content data in memory and/or alter the received content data before proceeding on to block  1012 . 
     At block  1012 , the conference hub  110  initiates a transmission of the content received from the peripheral device selected at block  1004  (e.g., high resolution audio content from the overview microphone  163 ) to the remote environment  102 . 
       FIG. 1D  is a process flow diagram of a method  1100  for selecting a source (i.e., another peripheral device) for a first type of content (e.g., audio or visual data) in the local environment  101  and initiating the transmission of content from the selected source to the remote environment  102 , according to one embodiment. The method  1100  includes the use of a peripheral device to facilitate the performance of the method steps disclosed herein. Although the method  1100  is described in the following description in reference to the overview microphone  163  selecting the PTZ camera  162  to provide visual content data to the remote environment  102 , the method  1100  also applies to selecting other visual peripheral devices to provide visual content data or for any peripheral device to select any other peripheral device to provide content data (e.g., audio, video, other visual content) to the remote environment  102 . Furthermore, although method  1100  is described in reference to  FIGS. 1A and 1B , the following description of the method  1100  is also applicable to an embodiment in which there is no conference hub  110  and/or clusters  142 - 144 , such that, for example, the cluster  141  communicates directly with the router  120  to communicate with the remote environment  102 . In some embodiments, the blocks found in the method  1100  can be repeated multiple times in an automated fashion by use of algorithms running on the various devices. 
     In the following description of  FIG. 1D , the overview microphone  163  is the master of the cluster  141  and is the device that communicates to the other peripheral devices in the cluster  141  and is also the device that communicates with the remote environment  102  through the router  120 . At block  1102 , the overview microphone  163  receives metadata comprising a data confidence level from at least two peripheral devices that can provide the first type of content data (e.g., visual data content). For example, the overview microphone  163  can receive metadata including data confidence levels from each peripheral device in cluster  141  capable of providing the first type of content data (e.g., visual data content), such as the overview camera  161  and the PTZ camera  162 . 
     At block  1104 , the overview microphone  163  determines and selects the peripheral device (e.g., PTZ camera  162 ) having the highest data confidence level. In some configurations, the selected peripheral device is also one that is receiving data that does not include an interfering signal, such as unwanted audio for audio content or undesired visual elements for visual content as described in further detail below. In embodiments in which an interfering signal is factored into determining the data confidence levels received from the peripheral devices, the overview microphone  163  can make the determination at block  1104  based on the received data confidence levels. 
     At block  1106 , the overview microphone  163  determines whether the overview microphone  163  is already receiving suitable content from the peripheral device selected at block  1104 . For example, if the overview microphone  163  selects the PTZ camera  162  as the visual peripheral device to provide visual content to the remote environment  102  at block  1104 , but the PTZ camera  162  is providing visual content to the overview microphone  163  at a low resolution, then the overview microphone  163  may determine that high resolution visual content from the PTZ camera  162  would be more suitable to send to the remote environment  102 . 
     At block  110 B, upon determining the overview microphone  163  is not receiving suitable content from the peripheral device selected at block  1104 , the overview microphone  163  can send a request to the peripheral device selected at block  1004  (i.e., PTZ camera  162 ) to start sending suitable content (e.g., high resolution visual content data) to the overview microphone  163  that can then be transmitted to the remote environment  102 . If, at block  1106 , the overview microphone  163  is already receiving suitable content from the peripheral device selected at block  1104  (e.g., PTZ camera  162 ), then block  110 B can be skipped. 
     At block  1110 , the overview microphone  163  receives suitable content from the peripheral device selected at block  1104  (i.e., PTZ camera  162 ). In some embodiments, the conference hub  110  may store the received content data in memory and/or alter the received content data before proceeding on to block  1112 . 
     At block  1112 , the overview microphone  163  initiates a transmission of the content received from the peripheral device selected at block  1104  (e.g., high resolution audio content from the PTZ camera) to the remote environment  102 . 
       FIG. 1E  is a process flow diagram of a method  1200  for improving the process for identifying the most appropriate source of content (e.g., audio content, video content, or other visual content) to send to the remote environment  102 , according to one embodiment. The process for identifying the most appropriate source of content can be improved by improving the accuracy of the data confidence levels received from the peripheral devices. A variety of techniques can be used to improve the accuracy of the data confidence levels received. As discussed above, a correction factor can be used to adjust the data confidence level of a given peripheral device up or down, for example by 0.1, so that the data confidence level from the given peripheral device enables a more accurate comparison to be made with the data confidence levels received from other peripheral devices. In the method  1200 , techniques other than the correction factor can be used to improve the accuracy of the data confidence level received from the peripheral devices, and are described below. In some embodiments, the blocks found in the method  1200  can be repeated multiple times in an automated fashion by use of algorithms running on the various devices. 
     At block  1202 , a controlling device as defined above (e.g., the conference hub  110  or a peripheral device performing tasks commonly performed by the conference hub) receives data confidence level and content data for a first type of content (e.g., audio) from a first peripheral device and a second peripheral device. The method  1200  also applies when the controlling device receives content from more than two peripheral devices, but the following is described for only two peripheral devices to reduce the complexity of the following description. 
     At block  1204 , the controlling device compares the content received from the first and second peripheral devices. For example, if the content received from the first and second peripheral devices is audio content, then the controlling device can compare properties of the audio content, such as decibel levels, levels of background noise or other interfering signals or signal-to-noise ratios. On the other hand, if the content received from the first and second peripheral devices is visual data content, then the controlling device can compare properties of the visual data content, such as levels of distracting movements, white balance issues, reflections, glare, obstruction(s) in a view (e.g., view of current speaker is obstructed by standing person or an object). 
     At block  1206 , the controlling device determines there is an accuracy issue with one or more of the first peripheral device and the second peripheral device based on analyzing the data confidence levels received from the peripheral devices and the comparison of the content data performed at block  1204 . For example, in one embodiment, the controlling device determines the audio content received from the first peripheral device is more appropriate (e.g., higher decibel level of current speaker with less background noise) to send to the remote environment  102  than the audio content received from the second peripheral device, but that the data confidence level received from the first peripheral device is lower than the data confidence level received from the second peripheral device. Based on this information, the controlling device may determine there is an issue with the confidence received from the first peripheral device, the second peripheral device, or both peripheral devices. For example, the controlling device may determine based on the analysis of the content from each peripheral device that the data confidence level from the first peripheral device should be in a first range (e.g., 0.8 to 0.9) while the data confidence level from the second peripheral device should be in a second range (e.g., 0.7 to 0.8). Continuing the example, the controlling device can determine there is an issue with each peripheral device that sent a data confidence level falling outside of the data confidence level range determined by the controlling device. If an accuracy issue is not identified at block  1206 , then the method can begin again at block  1202 . 
     At block  1208 , the controlling device sends a notification signal to each peripheral device for which the controlling device identified an accuracy issue for at block  1206  to notify that peripheral device that there is an accuracy issue regarding the data confidence level for that peripheral device. In some embodiments, the notification signal can include instructions for specific adjustments that the peripheral device should take to improve the accuracy of the data confidence level determined by the peripheral device. In some embodiments, each peripheral device can include multiple algorithms stored in memory for determining a more accurate data confidence level for that peripheral device. 
     In one embodiment, the notification signal includes instructions for the peripheral device having the accuracy issue to use a different algorithm. For example, in one such embodiment, the controlling device may send a notification signal to a visual data generating peripheral device to use an algorithm that factors in white balance if the controlling device determines that white balance is a possible cause for an inaccurate data confidence level received from a particular peripheral device and that that particular peripheral device was not currently accounting for white balance when determining the data confidence level. 
     In another embodiment, the notification signal includes instructions for the peripheral device having the accuracy issue to adjust the algorithm the algorithm the peripheral device is currently using to improve the accuracy of the data confidence level determined by the peripheral device. For example, in one embodiment, the notification signal can include instructions to adjust the weight applied to a particular factor for determining the data confidence level of the peripheral device. For example, an audio peripheral device may determine a data confidence level by analyzing only two factors including the decibel level and interfering signals. In one such embodiment, the audio peripheral device may apply a weighting factor of 0.8 to the decibel level and a weighting factor of 0.2 to the interfering signal. In this embodiment, the controlling device may determine that there is an accuracy issue caused by having a weighting factor for the interfering signal that is too low, and the controlling device may send a notification signal to the audio peripheral device to increase the weighting factor for the interfering from 0.2 to 0.4 and to decrease the weighting factor for the decibel level from 0.8 to 0.6. 
     In another embodiment, upon determining there is an accuracy issue with one or more of the peripheral devices, the controlling device can send a notification signal to two or more of the peripheral devices to perform a recalibration process. In one such embodiment, the notification signal includes instructions for the two or more peripheral devices to each use a same algorithm for determining data confidence levels to reduce the differences in how the peripheral devices are determining the data confidence levels. In another embodiment, the notification signal from the controlling device may be a signal to one or more of the peripheral devices to perform a recalibration process, and the peripheral device receiving that notification signal can then contact on or more other peripheral devices to initiate the recalibration process. This recalibration process may include the peripheral devices using a same algorithm to determine the data confidence level to reduce any error caused by differences in the algorithm. 
     At block  1210 , the controlling device receives updated data confidence levels from the first peripheral device and the second peripheral device. At block  1212 , the controlling device can select a peripheral device, such as the first peripheral device or the second peripheral device, as an appropriate source of content to send to the remote environment  102  based on the updated data confidence levels. At block  1214 , the controlling device can initiate a transmission of content data from the selected peripheral device to the remote video conferencing location  102 . The controlling device can periodically rerun method  1200  to improve the accuracy of the data confidence levels received from the peripheral devices. 
     Mapping and Unwanted Audio 
     Mapping of the local environment  101  can help obtain improved content data (e.g., audio and visual data) during a video conference in the local environment  101  by knowing the physical relationship between devices within a local environment  101 . Mapping of the local environment  101  can include identifying the locations of the peripheral devices relative to each other. In some embodiments, the mapping includes obtaining the actual dimensions of the room in which the peripheral devices of the local environment  101  are located and identifying where peripheral devices are located relative to a common reference point within the local environment  101 . This common reference point can be an object having a fixed location, such as a light switch, a decoration, a light fixture, etc. within the local environment  101 . In some embodiments, a centrally located object with a fixed position, such as an object above the conference table  137 , or a window frame, or corner of a room can be used, so that the reference object is in the field of view of many or each camera in the local environment  101 . In some embodiments, a centrally located object is moveable but has a fixed position at the start of the meeting, such as an object that is positioned at a desired position on the conference table  137 . In other embodiments, a movable object can be used a reference point. For example, a large standing light can be used as a reference object. Even if the light is moved, peripheral devices, such as cameras, can track the movement of the object easily due in part to its large size and/or ability to be seen from all angles in the local environment. In still other embodiments, multiple objects (e.g., microphones, conference room phones, etc.) can be used as reference objects for mapping a video conference environment, such as the local environment  101 . For example, peripheral devices, such as cameras, can then track the movement of these multiple objects in the local environment  101  and map the location of the peripheral devices relative to these reference objects to assist in determining the most appropriate sources of audio and visual content. 
     In some embodiments, these objects described above, which can be used as initial reference point(s), can be identified at any given time by the other peripheral devices based on an electromagnetic signal (e.g., wireless signal, emitted light, etc.) and/or audible signal generated by the centrally located object or detected by some other physical attribute of the reference object that is in the field of view of each camera in the local environment  101 . In some embodiments, the cameras in the local environment may also use one or more of these electromagnetic signals (e.g., light flashes) or audible signals (e.g., audible tones) to aid in identifying the position of the reference object. In some embodiments, the cameras in a cluster or in the local environment may also use one or more synchronized electromagnetic or audible signals to aid in identifying the position of the reference object to other peripheral devices in the cluster or in the local environment. 
     In some embodiments, each camera in the local environment  101  with PTZ functionality can pan, tilt, and zoom in on each microphone in the camera&#39;s field of view, so that each PTZ camera can store the PTZ positional information (also referred to as settings) that allows the camera to focus on each microphone, which assists in focusing on objects or people positioned proximate to each microphone. 
     Each PTZ camera can also store settings to assist the camera in focusing on one or more areas around each microphone in the local environment  101 . For example, in one embodiment the area surrounding a microphone can be classified into quadrants. For instance, referring to  FIG. 1B , the overview microphone  163  could be surrounded by the following four quadrants going in a clockwise direction: a back right quadrant (12 o&#39;clock to 3 o&#39;clock); a back left quadrant (3 o&#39;clock to 6 o&#39;clock); a front left quadrant (6 o&#39;clock to 9 o&#39;clock); and a front right quadrant (9 o&#39;clock to 12 o&#39;clock). Each PTZ camera could then adjust and store the settings to focus on the different quadrants surrounding each microphone. The conference hub  110  can then analyze the visual data received from each PTZ camera for each quadrant around each microphone and rank the PTZ cameras to determine which PTZ cameras obtain better views of these quadrants than the other cameras. 
     In one embodiment, the conference hub  110  performs the ranking in an empty conference room and visual recognition software can be used to determine which camera has the best view of that quadrant. In one example, the visual recognition software can determine which camera has the largest view of the edge(s) of the conference table  137  in that quadrant. In another embodiment, the conference hub  110  performs a ranking, or data collection preference ranking, with people seated at each seat in the conference table. The conference hub  110  can then use visual recognition software to determine how many faces can be clearly viewed when each PTZ camera focuses on a given quadrant for a particular microphone. In another embodiment, the ranking of PTZ cameras for each quadrant can be adjustable by an operator. For example, an operator may adjust a data collection preference ranking for the front right quadrant of the overview microphone  163  to be front right camera  171  ranked first, the whiteboard camera  191  ranked second, and the PTZ camera  162  ranked third. The data collection preference ranking automatically generated by the conference hub  110  may generate the same results. A data collection preference ranking entered by the operator or automatically generated can then be used as long as the microphone does not move, which can trigger the ranking process to be run again. 
     During a videoconference, the conference hub  110  can determine a particular microphone (e.g., the overview microphone  163 ) is the most appropriate audio source for a first audio signal occurring in the local environment  101  during a first time period. The microphone (e.g., the overview microphone  163 ) can identify which quadrant a source of audio is coming from by using time of arrival techniques described below. The conference hub  110  can then use the data collection preference rankings for the identified quadrant for that microphone to evaluate and/or select the most appropriate visual data source (e.g., front right camera  171 ). 
     This pan, tilt, and zoom calibration process can be rerun by the PTZ cameras to account for movement of any of the microphones. The PTZ cameras can be configured to run the PTZ calibration process before a video conference begins or at fixed intervals, such as once a day. Furthermore, each PTZ camera can be configured to run the PTZ calibration process when a signal is received by the PTZ camera that one or more of the microphones have moved. Each portable or semi-portable microphone in the local environment  101  can include one or more sensors (e.g., an accelerometer) to detect movement of the microphone, and thus determine that the microphone&#39;s position has changed from one instant in time to a second instant in time. Other portable or semi-portable devices (e.g., portable electronic device  174 ) in the local environment  101  can also include these features to detect movement. Movement detected by these one or more sensors can trigger a signal to be sent from the microphone to the PTZ cameras that includes data identifying that the microphone was moved, so that these PTZ cameras can rerun the PTZ calibration process. The PTZ positional information stored in the memory of the PTZ cameras can then be used with audio information during a video conference to pan, tilt, and zoom a PTZ camera to more accurate locations during the video conference, for example to show the current speaker. The PTZ positional information can also be transferred to and stored within the memory of the conference hub  110  so that the positional information of a peripheral device (e.g., front microphone  173 ), which is known relative to an external reference (i.e., relative to the centrally located object), can then be transferred by the conference hub  110  to and used by the peripheral device (e.g., front microphone  173 ) to help perform some activity, such as to assist in deciding a data confidence level of the information (e.g., audio content) that the peripheral device (e.g., front microphone  173 ) is receiving. 
     Because the local environment  101  includes multiple microphones, information from these microphones can be used to identify where an audio source is located in the local environment  101 , such as the location of the current speaker. For example, time delay of arrival techniques can be used to estimate the direction of an audio source relative to the position of the microphones in the local environment  101 . In some embodiments to reduce the complexity of determining the location of an audio source, it can be useful to use a single electronic device with multiple microphones instead of using separate microphones installed at a variety of locations within the local environment  101 . 
       FIG. 2A  illustrates an example of an audio signal processing device  202  interacting with an audio source  250  and a source of unwanted audio  255 , according to one embodiment. In some embodiments, the audio signal processing device  202  may take the place of one of the microphones in the local environment  101  described above. In some embodiments, the audio signal processing device  202  can be installed at a fixed position in the local environment  101 . For example, in one embodiment, the audio signal processing device  202  is placed in a fixed position on the conference table  137 . 
     The audio signal processing device  202  includes three microphones  201 A,  201 B, and  201 C, which can be used to detect the direction of one or more audio sources relative to the audio signal processing device  202 , such as the audio source  250  (e.g., the voice of the current speaker) and the unwanted audio  255  (e.g., a rattling bag of potato chips, a ringing cell phone, etc.). In  FIG. 2A , the audio source  250  is positioned a first distance  203 A from a first microphone  201 A, a second distance  203 B from a second microphone  201 B and a third distance  203 C from a third microphone  201 C. Based on a far-field sound wave propagation assumption the time delay seen by the second microphone  201 B and the third microphone  201 C relative to the first microphone  201 A, which is closest to the audio source  250 , will be proportional to the distance  204 A between the first microphone  201 A and the second microphone  201 B in the direction of the received audible signal from the audio source  250  and the distance  204 B between the first microphone  201 A and the third microphone  201 C in the direction of the received audible signal from the audio source  250 , respectively. 
       FIG. 2B  illustrates the delays that will be seen by the microphones  201 A- 201 C when these microphones detect the same audible signals  210 A- 210 C, respectively, that are generated by the audio source  250 , according to one embodiment. However, the audible signals that are received by the microphones  201 A- 201 C will also receive audible signals from other sources, such as the unwanted audio  255  at various different times due to each microphone&#39;s relative position to the other sources. The signals from the unwanted audio  255  can prevent or obscure the audio signal processing device  202  from detecting the desired information found with the audible signal received from the audio source  250 . The audio signal processing device  202  can use the signals received by the different microphones to identify signals coming from a common source (e.g., the audio source  250  or the unwanted audio  255 ) and then preferentially exclude one or more of the signals (e.g., the signal from the unwanted audio  255 ) so that the desired audio source (i.e., the audio source  250 ) can be heard more clearly. The unwanted audio can be identified by analyzing properties of an audio signal, such as the frequency (e.g., a ringing cell phone often has frequencies not used in speech) or in one embodiment, any audio that is identified as not being speech can be classified as unwanted audio. 
     One will note that the delay one microphone will experience versus another microphone is proportional to the differences in distance of each microphone from the audio source and is related to the speed of sound (e.g., 340.3 m/s at sea level). As illustrated in  FIG. 2B , the audible signal  210 A is received by the first microphone  201 A at time t A , and thus the delay that the second microphone  201 B has when it receives the audible signal  210 B from the time when the first microphone  201 A receives the audible signal  210 A is equal to t B -t A . The delay that the third microphone  201 C has relative to the first microphone  201 A is due to the time when it receives the audible signal  210 C versus when the first microphone  201 A receives the audible signal  210 A is equal to t C -t A . Thus, the time delay that each microphone may see relative to the other microphones within the geometrical array of microphones will depend on the relative orientation and position of the audible source to each of the microphones and their relative distance apart from each other. During the processing of the received audible signals by the audio signal processing device  202 , some additional signal processing related temporal delays, such as sampling rate delays, may be generated. 
     In embodiments in which the audio signal processing device  202  is included in the local environment  101 , the PTZ calibration process described above can be modified to be performed using the audio signal processing device  202  instead of the other microphones in the local environment  101  or in addition to the other microphones in the local environment  101 . Furthermore, in some of these embodiments, the audio signal processing device  202  can be used as the reference point that is in the field of view of all of the PTZ cameras. 
     As mentioned above, the audio signal processing device  202  can simplify the process of determining the direction of various audio sources relative to the audio signal processing device  202 , such as the direction of the audio source  250  and the unwanted audio  255  relative to audio signal processing device  202 . Thus, because the audio signal processing device  202  can identify the direction of audio sources relative to the audio signal processing device  202  and the PTZ cameras in the local environment  101  can be calibrated to alter their field of view by performing a pan, tilt, and/or zoom based off of a known or a determined position of the audio signal processing device  202 , then the PTZ cameras can use the directional information for audio sources from the audio signal processing device  202  to make adjustments to focus on desired audio sources (e.g., audio source  250 ) and in some embodiments, pan, tilt, and/or zoom away from undesired audio sources, such as unwanted audio  255 . Furthermore, in some cases the PTZ positional information created for the position of the audio signal processing device  202  can be used in conjunction with audible source directional information determined by the audio signal processing device  202 , based on the orientation and position of the audio signal processing device  202  relative to the centrally located object, to determine which of the generated content data by all of the peripheral devices is the most appropriate content data to be provided to the devices located in the remote environment  102  and the Internet environment  103 . 
     In addition to assisting individual PTZ cameras make adjustments to focus on particular audio signals in the local environment  101 , data from the audio signal processing device  202  can also be used to switch the audio or visual data source the conference hub  110  is using to send to the remote environment  102 . For example, if the audio signal processing device  202  detects that the unwanted audio  255  is coming from a direction of the front of the conference table  137 , then this information can be transferred to the conference hub  110 , and may be used to switch the audio source from the front microphone  173  to the overview microphone  163 . The switch from the front microphone  173  to the overview microphone  163  can be made despite the front microphone  173  having a higher data confidence level than the overview microphone  163 . Although in this example, the unwanted audio  255  is described as coming from a general area (front of the conference table  137 ), the audio signal processing device  202  may provide a much more precise indicator to the conference hub  110  for where the unwanted audio is coming from, such as 87.3 degrees relative to the orientation and position of the centrally located object, which in some embodiments can be the audio signal processing device  202 . 
     Unwanted audio often is related to distracting movements that could reduce attention to the current speaker during a video conference. A device may determine the data that it is receiving is unwanted audio by use of an algorithm that analyzes one or more characteristics of the received data, such as the duration the data is received over (e.g., sound or movement having a short time duration, constant sound level), amplitude of the received sound, repetitiveness of the received sounds or movements, or other useful noise detection metric. Therefore, under the same circumstances (i.e., unwanted audio coming from the front of the conference table  137 ), the conference hub  110  can use the information from the audio signal processing device  202  to either switch to a different camera or have the currently selected camera pan, tilt, or zoom to remove the area related to the unwanted audio  255  from the visual data sent to the remote environment. For example, in response to the unwanted audio  255 , the conference hub may determine that it is preferable to switch from the front left camera  172  to the back left camera  182  or to pan the front left camera  172  away from the area related to the unwanted audio  255 . Thus, the conference hub  110  can help reduce the negative impact that interfering signals, such as unwanted audio and distracting movement can have on a videoconference. There can be other undesirable visual elements besides distracting movement, such as white balance issues, other image color issues, reflections, glare, obstructed views (e.g., view of current speaker is obstructed by standing person or an object), or predefined areas of a room or parts of a scene that is desired to be blocked (e.g., as window or door opening). 
     Beamforming can also be used by the audio signal processing device  202  or other audio receiving devices (e.g., microphones  163 ,  173 ,  183 ,  193 ) to reduce the effect unwanted audio can have on desired audio. Beamforming can use multiple microphones to enhance desired audio with constructive interference and reduce unwanted audio with destructive interference. Use of multiple microphones allows spatial differences between the desired audio and the unwanted audio to be determined, for example by using differences in time of arrival of the audio signals at the different microphones as described above in reference to  FIG. 2B . In some embodiments, the beamforming can be accomplished by using the signals from different microphones throughout the local environment  101 , such as the overview microphone  163 , the front microphone  173 , and the back microphone  183 . In other embodiments, the audio signal processing device  202  may be used to assist in identifying the direction from which the unwanted audio is coming from and properties of the unwanted audio (e.g., frequency), and then the signals from the other microphones, such as the overview microphone  163 , the front microphone  173 , and the back microphone  183  can be combined to enhance the desired audio and reduce the unwanted audio. 
     Time of arrival techniques, such as beamforming, can also be used to identify changes in desired audio. For example, these techniques can be used to identify when the direction of a speaker&#39;s voice changes (e.g., the head of the current speaker turns to another direction) or the position of the current speaker changes. Data identifying these directional and/or positional changes can be quickly identified by these techniques and this data can be transferred to the conference hub  110 . The conference hub  110  can then use this data to determine if another microphone or camera may be a more appropriate audio or visual data source. For example, if the data indicates that the face of the current speaker has turned from the front left camera  172  to the back left camera  182 , then the conference hub  110  may send a signal to the back left camera  182  to increase the likelihood that the visual data source be taken from the back left camera  182 . For example, if data confidence levels are being used to determine the camera to use as the visual data source, then the conference hub  110  may send a signal to the back left camera to add 0.1 to the data confidence level of the back left camera  182  when a turn of the head by the current speaker towards the back left camera  182  is detected. In other embodiments, the conference hub  110  can increase the data confidence level (e.g., adding the 0.1 to the data confidence level received from the back left camera  182 ) instead of instructing the peripheral device to add a correction factor, such as 0.1 to the data confidence level of that peripheral device. In another embodiment, the conference hub  110  may cause the time period over which the data confidence level is determined for the cameras to be shortened based on a change in the data received by the conference hub  110 . For example, if data confidence levels are generally determined using the last 10 seconds of data, the detection of the turn of the current speakers face towards the back left camera  182  may cause the time period to shorten to 3 seconds. 
     Information from the cameras can also be leveraged to improve the quality of the audio content sent to the remote environment  102 . For example, one or more of the cameras can be used to identify the position of the current speaker relative to the audio signal processing device  202  or other microphones in the local environment. In one embodiment, the visual data from the back right camera  181  may be transmitted to the conference hub  110  and can used to identify that the current speaker is physically close to the overview microphone  163  despite the back microphone  183  having a stronger audio signal. If the back microphone  183  is also detecting a significant amount of unwanted audio, the conference hub  110  can use the information from the back right camera  181  to mute the back microphone  183  and switch the audio source to the overview microphone  163 , which should produce a sufficient audio signal since the visual data identified that the current speaker was physically close to the overview microphone  163 . 
     In another embodiment, data from a camera can be used to add a correction factor for the data confidence level of another peripheral device, such as a microphone. For example, when a camera determines a high data confidence level, for example, based on capturing the current speaker&#39;s gaze or by determining the direction the current speaker is facing while speaking, such as towards the camera, then the camera can use this information to increase the data confidence level of one or more other peripheral device based on determining the voice of the current speaker should be in a detection region of the one or more other peripheral devices. The detection region can be a region in which a peripheral device can capture useful data, such as audio or visual data that would be appropriate to transmit to the remote environment  102 . For example, the whiteboard camera  191  can determine that a current speaker is standing in front of the whiteboard  192  and facing the whiteboard camera while speaking. Based on this information the whiteboard camera  191  can transmit a signal (e.g., a correction factor) to increase the data confidence level of the whiteboard microphone  193  and the overview microphone  163 . In one embodiment, the whiteboard camera transmits a signal to increase the data confidence level of the whiteboard microphone  193  and the overview microphone  163  by 0.05, and 0.10 respectively. 
     Information from the cameras can also be leveraged to improve the quality of the audio content sent to the remote environment  102  through use of beamforming. For example, using the same example (i.e., the current speaker is visible on the back right camera  181 ), the visual data could be used to approximate the position of the current speaker relative to the microphones in the local environment  101 , such as the overview microphone  163 , the front microphone  173 , and the back microphone  183 . Using this positional information, the microphones  163 ,  173 ,  183  could then use beamforming to constructively enhance audio signals coming from the direction of the current speaker and constructively interfere with audio signals coming from other directions to improve the signal-to-noise ratio of the received audio signal that is sent to the remote environment  102 . 
     Individuals and Groups 
       FIG. 3  illustrates a group of users  301 - 305  sitting at the conference table  137  in the local environment  101 , according to one embodiment. Video conferences can also be improved by analyzing the activity and attributes of the users during the conference. For example, tracking of the movement or position of a current speaker can be used to determine that the head of the current speaker is turned and that another camera may be better suited to be the visual data source for the current speaker. Changes in audio signal strength received at the microphones (e.g., front microphone  173  and back microphone  183 ) can also be used as an indication that the head of the current speaker is turned in a specific direction, which can be used by the conference hub  110  to use another camera to capture the visual data of the current speaker. 
     In some video conferences, it may be desirable to keep a view on a particular key participant in the local environment  101 , such as an important client attending the conference, main presenter or guest speaker. In some embodiments, facial recognition software running on one or more of the cameras and/or the conference hub  110  can be used to track the important participant and collect the relevant data being provided by the important participant. The audio can also be configured to increase the likelihood that the voice of the important participant is heard and then transferred to the conference hub  110  and to devices located in the remote environment  102  and the Internet environment  103 . For example, voice recognition software can be used to identify the microphone with the strongest signal for the important participant&#39;s voice, and then this microphone can be used whenever the important participant speaks or throughout the duration of the video conference or as long as that microphone continues to receive the strongest signal for the important participant&#39;s voice. In another embodiment, the data confidence level for the microphone with the strongest signal from the important participant can be increased (e.g., by 0.1) to increase the likelihood that the voice of the important participant is heard and then transferred to the conference hub  110  and to devices located in the remote environment  102  and the Internet environment  103 . In another embodiment, a microphone that has a data confidence level that is preset to a higher than average data confidence level within the software of the peripheral device itself or by the conference hub  110  is positioned near the important participant to increase the likelihood that the voice of the important participant is heard and then transferred to the conference hub  110  and to devices located in the remote environment  102  and the Internet environment  103 . 
     For some situations, it may be desirable to detect particular speech patterns (e.g., frequencies) associated with particular groups of people, and use these detected speech patterns to increase the likelihood that speakers from that group are heard and/or seen during the video conference. For example, although not 100% accurate, speech patterns, such as audible frequency, can generally be used to distinguish between many male and female voices. Other speech patterns may be detected as well. Thus, if a host determines the voice of a group with a recognizable speech pattern should be increased, then the host can adjust the settings that control the switching of audio and/or visual data sources to favor the individuals of that group. For example, in one embodiment, if the host determines that voices of a particular group (e.g., soft spoken individuals, female voices, etc.) are not being sufficiently heard, then the host could make a change in the settings (e.g., settings on the conference hub  110 ) to help voices of the particular group (e.g., female voices) to be heard. Continuing the example, the settings could be configured to add a value, such as 0.1, to the data confidence level of the microphone that detects the highest audio signal of the particular group (e.g., female voices). Then if the conference hub  110  evaluates and/or selects an audio source based on the audio source with the highest data confidence level, the audio source having a data confidence level with an additional 0.1 can have an increased likelihood to be heard. Further, this may result in an increased likelihood of receiving more input from the particular group having an elevated data confidence level. Although the example is described with a 0.1 increase in data confidence level a higher or lower change could be used. 
     In another embodiment, if a particular group is determined to be controlling too much of the conversation during the conference, then the speech patterns of that group can be used to reduce the data confidence level of the microphones receiving the strongest signals from the members of that group to increase the likelihood that the voice of speakers from other groups can be heard. In yet another embodiment, facial or other visual recognition software can be used to identify members of a particular group or individual(s) known to belong to a particular group. In these embodiments, the facial or visual recognition software can be used on its own to identify members of particular groups or in conjunction with the speech pattern recognition to identify members of the particular groups. For example, a speech pattern recognition program may only be 85% accurate in identifying female voices while a speech pattern recognition program working in combination with a facial or other visual recognition program may be able to increase the accuracy to be above 95%. Once the members of the particular group are identified, then the software running on the conference hub  110  and/or peripheral devices can be used to increase the likelihood that members of an underrepresented group are heard from or reduce the likelihood that members from an over represented group are heard from, such as by adjusting the data confidence levels of microphones as described above. 
     Facial and/or visual recognition can also be applied to groups that are not mentioned above. For example, if a particular client has a uniform, such as a shirt of particular color, then the same techniques described above for modifying confidence values to favor particular groups could also be applied to identifying a group that is identifiable in this visual way. In another embodiment, location can also be used to increase the likelihood that particular voices are heard. For example, if speakers from the remote environment  102  are rarely heard from, then the volume from the microphones in the local environment can be reduced when speech from the remote environment is detected. Similarly, if speakers from the back of the conference table  137  are rarely heard from, then the data confidence level of the back microphone  183  can be increased and/or the data confidence level of the front microphone  173  can be decreased to account for this disparity. As another example, if lower level employees typically stand during a conference, then visual recognition software could be used to identify standing speakers and increase the data confidence level for the microphone which is receiving the strongest audio from the standing speaker. 
     Alternate Embodiments of Selecting Content 
       FIG. 4  is a process flow diagram of a method  4000  for selecting a source (i.e., a peripheral device) for delivering a first type of content data (e.g., audio or visual data) within the local environment  101  and transmitting content data from the selected source to the remote environment  102 , according to one embodiment. Referring to  FIGS. 1A, 1B, and 4  the method  4000  is described. In some embodiments, the blocks found in the method  4000  can be repeated multiple times in an automated fashion by use of algorithms running on the various devices. Although the following method  4000  is described in reference to selecting the back right camera  181  to provide visual content to the remote environment  102  of a current speaker  5  (see  FIG. 1B ) standing near the right side of the whiteboard  192 , the method  4000  also applies to selecting other peripheral devices to provide other visual content data or for selecting other peripheral devices to provide audio content data. Furthermore, although the method  4000  is described in reference to selecting the back right camera  181  when metadata from the cameras  171 ,  181 , and  191  are transmitted and compared, the method  4000  also applies when metadata from more or fewer peripheral devices are compared. In the following description of the method  4000 , the whiteboard camera  191  is the primary peripheral device. The selection of a particular peripheral device as the primary peripheral device can be static or dynamic as described above. 
     At block  4002 , metadata is transmitted from one or more peripheral devices to either the conference hub  110  or to a primary peripheral device. For example, metadata can be transmitted from each of the cameras  171 ,  181 , and  191  to the conference hub  110 . Alternatively, metadata from each of the cameras  171 ,  181  can be transmitted to the whiteboard camera  191  acting as the primary peripheral device. In such an embodiment, the whiteboard camera  191  acting as the primary peripheral device does not transmit metadata since the whiteboard camera  191 , which is acting as the primary peripheral device, can compare its own metadata with the metadata from the front right camera  171  and the back right camera  181 . 
     At block  4004 , the metadata from the cameras  171 ,  181 , and  191  are compared to determine the content data from the back right camera  181  has a higher quality than the content data from the front right camera  171  and the whiteboard camera  191 . This comparison can be done by the conference hub  110  or the whiteboard camera  191  acting as the primary peripheral device depending on which device the metadata was transmitted to at block  4002 . In some embodiments, the peripheral device selected at block  4004  for having higher quality content data can also be the primary peripheral device. 
     At block  4004 , the comparison can determine the content data from the back right camera  181  has a higher quality than the content data from the front right camera  171  and the whiteboard camera  191  based on determining the back right camera  181  has a better view of a current speaker  5  (see  FIG. 1B ) standing near the right side of the whiteboard  192  in the local environment  101 . In one embodiment, determining the back right camera  181  has a better view of the current speaker  5  (e.g., content data has a higher quality) can be based on determining the content data from the back right camera  181  includes more of (1) a view of the current speaker, (2) an unobstructed view of the face of the current speaker, and (3) a view of an eye gaze of the current speaker than content data from the cameras  171 ,  191 . In one embodiment, a view of an eye gaze of a current speaker is considered sufficient if the optical axis extending from the center of the lens of the camera is less than about 20 degrees, or even less than about 45 degrees from the direction the current speaker&#39;s eyes are looking, or, alternately, in some cases the speaker&#39;s face is oriented. 
     In other embodiments, views from different peripheral devices can be compared to determine which peripheral device has a better view of a key region (e.g., front of the conference room, podium in the conference room, the whiteboard  192 , region of the whiteboard  192 , region in front of whiteboard, etc.) in the local environment  101  as opposed to an individual (e.g., a current speaker). Determining a peripheral device (e.g., the back right camera  181 ) has a better view of a key region (e.g., the whiteboard  192 ) can be based on determining the content data from the back right camera  181  includes more of (1) a view of the key region, (2) an unobstructed view of the key region, or (3) a view of readable text in the key region than other peripheral devices. 
     In some embodiments, determining a peripheral device (e.g., the back right camera  181 ) has a better view of a current speaker or a key region can also be based at least in part on determining that the one or more other peripheral devices include a view of the current speaker or the key region with an interfering signal. In some embodiments, examples of interfering signals that can prevent a peripheral device from having a better view than other peripheral devices can include a distracting movement, white balance issues, other image color issues, reflections, glare, obstructed views (e.g., view of current speaker is obstructed by standing person or an object), or predefined areas of a room or parts of a scene that is desired to be blocked (e.g., as window or door opening). 
     As stated above, the method  4000  can also be executed for selecting audio content. Determining which peripheral device has higher quality audio content data at block  4004  can be performed, for example, by determining the content data from a first peripheral device (e.g., whiteboard microphone  193 ) includes a speech (e.g., audible sounds coming from a person) from of a current speaker and the content data from the second peripheral device (e.g., overview microphone  163 ) includes speech from the current speaker and unwanted audio. Unwanted audio can include audible sounds other than speech (e.g., shuffling papers). 
     At block  4006 , content data from the back right camera  181  is transmitted to the conference hub  110  via the first communication link based on determining the content data from the back right camera  181  has a higher quality than the content data from the front right camera  171  and the whiteboard camera  191 . In some embodiments, the metadata transmitted to the conference hub  110  or to the whiteboard camera  191  acting as the primary peripheral device can be transmitted via one or more communication links that are separate from the first communication link. Using a separate communication link can help reduce the likelihood that the transmission and processing of the content data can be slowed down by the transmission and processing of the metadata. For example, in one embodiment, the first communication link can be wired (e.g., an Ethernet communication link) and the one or more separate communication links can be wireless (e.g., a Bluetooth communication link). In other embodiments, the communication links can use a same technology, while still remaining separate, such as when the one or more first communication links are Wi-Fi communication links using a first frequency (e.g., 2.4 GHz) while the second communication link uses another frequency (e.g., 5.9 GHz). 
     At block  4008 , the content data from the back right camera  181  (e.g., video of the current speaker  5  standing near the whiteboard  192 ) is transmitted to the remote video conferencing location  102  by the conference hub  110 . As described above, the generated content data and metadata contain different information. 
       FIG. 5A  is a process flow diagram of a method  5100  for selecting a source (i.e., a peripheral device) for providing visual content of a key participant  6  (see  FIG. 1B ) in the local environment  101  and transmitting content of the key participant  6  from the selected source to the remote environment  102 , according to one embodiment. Referring to  FIGS. 1A, 1B, and 5A  the method  5100  is described. In some embodiments, the blocks found in the method  5100  can be repeated multiple times in an automated fashion by use of algorithms running on the various devices. Although the following method  5100  is described in reference to selecting the front right camera  171  to provide visual content of the key participant  6  standing in the front of the local environment  101 , the method  5100  also applies to selecting other peripheral devices to provide visual content data of a key participant. Furthermore, although the method  5100  is described in reference to selecting the front right camera  171  when scene data from the front right camera  171  and the PTZ camera  162  are transmitted and compared, the method  5100  also applies when scene data from more peripheral devices are compared. In the following description of the method  5100 , the front right camera  171  is the primary peripheral device. The selection of a particular peripheral device as the primary peripheral device can be static or dynamic as described above. 
     At block  5101 , two or more peripheral devices (e.g., cameras) capture visual content of the key participant  6 . For example, as shown in  FIG. 1B , the front right camera  171  and the PTZ camera  162  are positioned to capture visual content of the key participant  6  standing at the front of the local environment  101  near the main display  135 . Before block  5101 , two or more of the peripheral devices, such as all of the cameras in the local environment  101 , can be given data concerning the key participant  6 , such as data that can be used for facial recognition or other identifiable features of the key participant  6 . Peripheral devices capable of capturing visual content of the key participant  6  and which are not currently capturing other significant visual content (e.g., video of a current speaker who is not the key participant) can pan, tilt, zoom, and make any other adjustments needed to show the key participant  6 . 
     At block  5102 , scene data is transmitted from the front right camera  171  and the PTZ camera  162  via one or more first communication links to either the conference hub  110  or to a primary peripheral device during a first time period. The scene data can consist of one or more of content data, reduced quality content data, and metadata. Content data is content captured or generated by a device (e.g., audio or video recorded by the device or content from a display of an electronic device). Reduced quality content data is content data having a lower quality (e.g., lower video and/or audio resolution) relative to the corresponding content data from which the reduced quality content is generated and is typically transmitted to the remote environment  102  for viewing and/or listening. Using reduced quality content data can reduce the amount of data transmitted between devices and preserve bandwidth for transmitting other data. Metadata can include data confidence level(s), scene quality data, and other data that characterizes the content data as described above. 
     In some embodiments, each camera in the local environment  101  can be configured to track the key participant  6 . The key participant  6  can be an important client, company executive, guest speaker or any other individual desired to be tracked during a meeting. As shown in  FIG. 1B , an object  7  is located in front of the key participant  6  obstructing most of the cameras from being able to view the key participant  6 . Thus, the front right camera  171  and the PTZ camera  162  are the only cameras that can obtain a sufficient view of the key participant  6  during the first time period. 
     At block  5104 , as the key participant  6  is being tracked during the first time period by the front right camera  171  and the PTZ camera  162 , while other visual content is being transmitted to the remote location  102  to provide the visual content of the on-going videoconference. For example, at block  5104 , content data from the back right camera  181  is transmitted to the conference hub  110  via a second communication link during the first time period. The back right camera  181  can send content data of the current speaker  5  located at the whiteboard  192  during the first time period. 
     The second communication link can be separate from the one or more first communication links. Using a separate communication link can help reduce the likelihood that the transmission and processing of the content data transmitted to the remote environment  102  can be slowed down by the transmission and processing of the scene data transmitted at block  5202 . In some embodiments, the separate second communication link can be separate from the one or more first communication links. For example, in one embodiment, the one or more first communication links can be wired (e.g., an Ethernet communication link) and the second communication link can be wireless (e.g., a Bluetooth communication link). In other embodiments, the communication links can use a same communication protocol, while still remaining separate, such as when the one or more first communication links are Wi-Fi communication links using a first frequency (e.g., 2.4 GHz) while the second communication link uses another frequency (e.g., 5.9 GHz). 
     At block  5106 , the content data from the back right camera  181  can be transmitted by the conference hub  110  to the remote video conference location  102  during the first time period. Furthermore, in some embodiments, during the first time period content data of the key participant  6  is not transmitted to the remote environment  102 . For example, if the key participant  6  is not speaking or otherwise doing something noteworthy (e.g., arriving, listening, exiting, gesturing, or standing up, etc.), then there is likely less of a reason to transmit content data of the key participant  6  to the conference hub  110  and/or remote environment  102 . Thus, the transmitting of scene data by the front right camera  171  and the PTZ camera  162  can be configured to track the key participant  6  in the background at block  5102  during the first time period, so that content data of the key participant  6  can subsequently be quickly transmitted to remote environment  102  when the key participant  6  starts doing something noteworthy. 
     At block  5108 , the scene data from the front right camera  171  and the PTZ camera  162  transmitted at block  5102  are compared to determine the front right camera  171  has a better view of the key participant  6  (e.g., content data has a higher quality) during the first time period than the PTZ camera  162 . For example, as shown, the object  7  partially obstructs the view of the key participant  6  from the PTZ camera  162  while the view from the front right camera  171  is not obstructed. This comparison can be done by the conference hub  110  or the front right camera  171  acting as the primary peripheral device depending on which device the scene data was transmitted to at block  5102 . Although the front right camera  171  is acting as the primary peripheral device in the description of method  5100 , any of the peripheral devices in the local environment  101  can act as the primary peripheral device for the method  5100 . In some embodiments, the peripheral device selected at block  5108  (i.e., the front right camera  171 ) for having the better view of the key participant  6  is also the primary peripheral device. 
     The comparison, performed during block  5108 , can determine the content data from the front right camera  171  has a higher quality than the content data from the PTZ camera  162  based on determining the front right camera  171  has a better view of the key participant  6  (see  FIG. 1B ) standing in the front of the local environment  101 . As stated above, one or more of content data, reduced quality content data, or metadata transmitted from the cameras  171 ,  162  can be compared to determine that the front right camera  171  has the better view of the key participant  6 . In one embodiment, determining the front right camera  171  has a better view of the key participant  6  compared to the PTZ camera  162  can be based on determining the content data from the front right camera  171  includes more of (1) a view of the key participant  6 , (2) an unobstructed view of the face of the key participant  6 , and (3) a view of an eye gaze of the key participant  6  than content data from the PTZ camera  162 . In one embodiment, a view of an eye gaze of the key participant  6  is considered sufficient if the optical axis extending from the center of the lens of the camera is within less than about 20 degrees, or even less than about 45 degrees from the direction the key participant  6 &#39;s eyes are looking, or, alternately, in some cases the key participant&#39;s face is oriented. Here, the front right camera  171  has more of a view of the key participant  6 , the face of the key participant  6  and the eye gaze of the key participant  6  (assuming the key participant is facing the table  137 ) than the PTZ camera  162  due to the object  7  obstructing some of the view of the key participant  6  from the PTZ camera  162 . 
     In some embodiments, determining a peripheral device (e.g., the front right camera  171 ) has a better view of a key participant  6  can also be based at least in part on determining that the one or more other peripheral devices include a view of the key participant  6  with an interfering signal. In some embodiments, examples of interfering signals that can prevent a peripheral device from having a better view than other peripheral devices can include a distracting movement, white balance issues, other image color issues, reflections, glare, obstructed views (e.g., view of key participant  6  is obstructed by standing person or an object), or predefined areas of a room or parts of a scene that is desired to be blocked (e.g., as window or door opening). For example, the view from the PTZ camera  162  of the key participant  6  is partially obstructed by the object  7  as shown in  FIG. 1B , which is treated as an interfering signal preventing the PTZ camera  162  from having a better view than the front right camera  171 . 
     At block  5110 , a determination is made to provide content data of the key participant  6  to the remote environment  102  during a second time period. The second time period is after the first time period has elapsed. A determination to provide content data of the key participant  6  can be made when the key participant  6  starts speaking or otherwise doing something noteworthy (e.g., arriving, exiting, gesturing, or standing up, etc.). For example, one or more peripheral devices and/or the conference hub  110  can be given voice recognition data concerning the key participant  6 , so that audio data can be used to determine when the key participant  6  starts speaking and enable the determination to provide content of the key participant  6  to be made. As another example, data from one or more peripheral devices capturing visual content of the key participant  6 , such as cameras  171 ,  162 , can be used to identify when the key participant  6  is doing something noteworthy (e.g., arriving, exiting, gesturing, or standing up, etc.) enabling the determination to provide content of the key participant  6  to be made 
     At block  5112 , content data from the front right camera  171  is transmitted to the conference hub  110  via the second communication link during the second time period based on the determination that the front right camera  171  has the better view of the key participant  6  (e.g., content data has a higher quality) during the first time period and the determining to provide content data of the key participant  6  during the second time period. 
     At block  5114 , the content data of the key participant  6  from the front right camera  171  is transmitted by the conference hub  110  to the remote environment  102  during the second time period. 
       FIG. 5B  is a process flow diagram of a method  5200  for selecting a source (i.e., a peripheral device) for providing visual content of a key region  8  (see  FIG. 1B ) in the local environment  101  and transmitting content of the key region  8  from the selected source to the remote environment  102 , according to one embodiment. Referring to  FIGS. 1A, 1B, and 5B  the method  5200  is described. In some embodiments, the blocks found in the method  5200  can be repeated multiple times in an automated fashion by use of algorithms running on the various devices. Although the following method  5200  is described in reference to selecting the front right camera  171  to provide visual content of the key region  8  near the main display  135  located at the front of the local environment  101 , the method  5200  also applies to selecting other peripheral devices to provide visual content data of the key region  8  or other key regions. Furthermore, although the method  5200  is described in reference to selecting the front right camera  171  when scene data from the front right camera  171  and the PTZ camera  162  are transmitted and compared, the method  5200  also applies when scene data from more peripheral devices are compared. In the following description of the method  5200 , the front right camera  171  is the primary peripheral device. The selection of a particular peripheral device as the primary peripheral device can be static or dynamic as described above. 
     At block  5201 , two or more peripheral devices (e.g., cameras) capture visual content of the key region  8 . For example, as shown in  FIG. 1B , the front right camera  171  and the PTZ camera  162  are positioned to capture visual content of the key region  8 . The overview camera  161  and the front left camera area  172  are also positioned to capture visual content of the key region  8 , but are not included in the following description due to the view from these cameras  161 ,  172  being more obstructed by the object  7  than the cameras  171 ,  162 . Before block  5201 , two or more of the peripheral devices, such as all of the cameras in the local environment  101 , can be given data concerning the key region  8 , such as image data that can be used to identify the key region  8 , such as image data of the main display  135  and/or image data of areas around the perimeter of the main display  135 . In some embodiments, a marker (e.g., an “X”) or other identifiable feature can be placed around the four corners and/or other locations on the main display  135  to enable (1) visual peripheral devices (e.g., cameras) or (2) other peripheral devices or the conference hub  110  receiving image data to determine how much of the main display  135  is captured in a particular image or video. Peripheral devices capable of capturing visual content of the key region  8  and which are not currently capturing other significant visual content (e.g., video of a current speaker who is not in the key region  8 ) can pan, tilt, zoom, and make any other adjustments needed to view the key region  8 . 
     At block  5202 , scene data is transmitted from the front right camera  171  and the PTZ camera  162  via one or more first communication links to either the conference hub  110  or to a primary peripheral device during a first time period. The scene data can consist of one or more of content data, reduced quality content data, and metadata. Content data is content captured or generated by the device (e.g., audio or video recorded by the device or content from a display of an electronic device). Reduced quality content data is content data having a lower quality (e.g., lower resolution) relative to the corresponding content data from which the reduced quality content is generated. Using reduced quality content data can reduce the amount of data transmitted between devices and preserve bandwidth for transmitting other data. Metadata can include data confidence level(s), scene quality data, and other data that characterizes the content data as described above. 
     In some embodiments, each camera in the local environment  101  with a view of at least a portion of the key region  8  can be configured to track activity within the key region  8 . The key region  8  can be any region of the local environment  101  that is desired to be tracked during a meeting. Here, the key region  8  is a region that includes the front of the main display  135  and an adjacent surrounding area. The key region  8  is a region typically associated with where a main speaker for a presentation is located during a videoconference. As shown in  FIG. 1B , the key participant  6  is located in the key region  8 , and an object  7  is located in front of the key participant  6  obstructing most of the cameras from being able to view the key participant  6 . Thus, the front right camera  171  and the PTZ camera  162  are the only cameras that can obtain a sufficient view of the key participant  6  in the key region  8  during the first time period. 
     At block  5204 , as the key region  8  is being tracked during the first time period by the front right camera  171  and the PTZ camera  162 , other visual content is being transmitted to provide the visual content for the videoconference. For example, at block  5104 , content data from the back right camera  181  is transmitted to the conference hub  110  via a second communication link during the first time period. The back right camera  181  can send content data of the current speaker  5  located at the whiteboard  192  during the first time period. 
     The second communication link can be separate from the one or more first communication links. Using a separate communication link can help reduce the likelihood that the transmission and processing of the content data transmitted to the remote environment  102  can be slowed down by the transmission and processing of the scene data transmitted at block  5202 . In some embodiments, the second communication link can be separate from the one or more first communication links. For example, in one embodiment, the one or more first communication links can be wired (e.g., an Ethernet communication link) and the second communication link can be wireless (e.g., a Bluetooth communication link). In other embodiments, the communication links can use a same communication protocol, while still remaining separate, such as when the one or more first communication links are Wi-Fi communication links using a first frequency (e.g., 2.4 GHz) while the second communication link uses another frequency (e.g., 5.9 GHz). 
     At block  5206 , the content data from the back right camera  181  can be transmitted by the conference hub  110  to the remote video conference location  102  during the first time period. Furthermore, in some embodiments, during the first time period content data of the key region  8  is not transmitted to the remote environment  102 . For example, if no one is speaking or otherwise doing something noteworthy (e.g., pointing, gesturing, or moving etc.) in the key region  8 , then there is likely less of a reason to transmit content data of the key region  8  to the conference hub  110  and/or remote environment  102 . Thus, the transmitting of scene data by the front right camera  171  and the PTZ camera  162  can be configured to track the key region  8  in the background at block  5202  during the first time period, so that content data of the key region  8  can subsequently be quickly transmitted to remote environment  102  when someone or something in the key region  8  (e.g., the key participant  6 ) starts doing something noteworthy. 
     At block  5208 , the scene data from the front right camera  171  and the PTZ camera  162  transmitted at block  5202  are compared to determine the front right camera  171  has a better view of the key region  8  (e.g., content data has a higher quality) during the first period than the PTZ camera  162 . For example, as shown, the object  7  partially obstructs the view of the key region  8  from the PTZ camera  162  while the view from the front right camera  171  is not obstructed. This comparison can be done by the conference hub  110  or the front right camera  171  acting as the primary peripheral device depending on which device the scene data was transmitted to at block  5202 . Although the front right camera  171  is acting as the primary peripheral device in the description of method  5200 , any of the peripheral devices in the local environment  101  can act as the primary peripheral device for the method  5200 . In some embodiments, the peripheral device selected at block  5208  (i.e., the front right camera  171 ) for having the better view of the key region  8  is also the primary peripheral device. 
     At block  5208 , the comparison can determine the content data from the front right camera  171  has a higher quality than the content data from the PTZ camera  162  based on determining the front right camera  171  has a better view of the key region  8  at the front of the local environment  101 . As stated above, one or more of content data, reduced quality content data, or metadata transmitted from the cameras  171 ,  162  can be compared to determine that the front right camera  171  has the better view of the key region  8 . In one embodiment, determining the front right camera  171  has a better view of the key region  8  can be based on determining the content data from the front right camera  171  includes more of (1) a view of a key object (e.g., the main display  135 ) in the key region  8 , (2) an unobstructed view of the face of a first participant (e.g., the key participant  6 ) in the key region  8 , and (3) a view of an eye gaze of a first participant (e.g., key participant  6 ) positioned in the key region  8  than content data from the PTZ camera  162 . In one embodiment, a view of an eye gaze of the key participant  6  is considered sufficient if the optical axis extending from the center of the lens of the camera is less than about 20 degrees, or even less than about 45 degrees from the direction the key participant&#39;s eyes are looking, or, alternately, in some cases the speaker&#39;s face is oriented. Here the front right camera  171  has more of a view of the main display  135  (i.e., the key object) in the key region  8  than the PTZ camera  162 . Also, the front right camera  171  has more of a view of the face of the key participant  6  and the eye gaze of the key participant  6  (assuming the key participant  6  is facing the table  137 ) located in the key region  8  than the PTZ camera  162  due to the object  7  obstructing some of the view of the key participant  6  from the PTZ camera  162 . 
     In some embodiments, determining a peripheral device (e.g., the front right camera  171 ) has a better view of a key participant can also be based at least in part on determining that the one or more other peripheral devices include a view of the key region  8  with an interfering signal. In some embodiments, examples of interfering signals that can prevent a peripheral device from having a better view than other peripheral devices can include a distracting movement, white balance issues, other image color issues, reflections, glare, obstructed views (e.g., view of key region  6  is obstructed by standing person or an object), or predefined areas of a room or parts of a scene that is desired to be blocked (e.g., as window or door opening). For example, the view from the PTZ camera  162  of the key region  8  is partially obstructed by the object  7  as shown in  FIG. 1B , which is treated as an interfering signal preventing the PTZ camera  162  from having a better view than the front right camera  171 . 
     At block  5210 , a determination is made to provide content data of the key region  8  to the remote environment  102  during a second time period. The second time period is after the first time period has elapsed. A determination to provide content data of the key region  8  can be made when a participant in the key region  8  (e.g., the key participant  6 ) starts speaking or otherwise doing something noteworthy (e.g., gesturing). For example, one or more audio peripheral devices (e.g., microphones) can be used to determine when a participant starts speaking in the key region  8  and enable the determination to provide visual content of the key region  8  to be made. As another example, data from one or more peripheral devices capturing visual content of the key region  8 , such as cameras  171 ,  162 , can be used to identify when a participant (e.g., key participant  6 ) is doing something noteworthy in the key region  8  (e.g., gesturing) enabling the determination to provide content of the key region  8  to be made. 
     At block  5212 , content data from the front right camera  171  is transmitted to the conference hub  110  via the second communication link during the second time period based on the determination that the front right camera  171  has the better view of the key region  8  (e.g., content data has a higher quality) during the first time period and the determining to provide content data of the key region  8  during the second time period. 
     At block  5214 , the content data of the key region  8  from the front right camera  171  is transmitted by the conference hub  110  to the remote environment  102  during the second time period. 
       FIG. 5C  is a process flow diagram of a method  5300  for selecting a source (i.e., a peripheral device) for providing visual content of a key participant  6  (see  FIG. 1B ) in the local environment  101  and transmitting content of the key participant  6  from the selected source to the remote environment  102 , according to one embodiment. The method  5300  describes how tracking of the key participant  6  can be adjusted when visual content captured by the peripheral devices (i.e., cameras) becomes insufficient, for example, when the key participant moves from a first position  6   t1  during a first time period to a second position  6   t2  during a second time period. The key participant is shown as key participant  6 ′ in the first position  6   t1  and key participant  6  in the second position  6   t2  for clarity. Referring to  FIGS. 1A, 1B, and 5C  the method  5300  is described. In some embodiments, the blocks found in the method  5300  can be repeated multiple times in an automated fashion by use of algorithms running on the various devices. Although the following method  5300  is described in reference to selecting the front right camera  171  to provide visual content of the key participant  6  standing in the second position  6   t2  at the front of the local environment  101 , the method  5300  also applies to selecting other peripheral devices to provide visual content data of a key participant. In the following description of the method  5300 , the back left camera  182  is the primary peripheral device. The selection of a particular peripheral device as the primary peripheral device can be static or dynamic as described above. 
     At block  5301 , during the first time period, the key participant is located in the first position  6   t1  (i.e., key participant  6 ′), for example seated at the rear of the conference table  137  facing the main display  135 . The back right camera  181  and the back left camera  182  capture visual content of the key participant  6 ′ during this first time period. Before block  5301 , two or more of the peripheral devices, such as all of the cameras in the local environment  101 , can be given data concerning the key participant, such as data that can be used for facial recognition or to recognize other identifying features of the key participant. Peripheral devices capable of capturing visual content of the key participant and which are not currently capturing other significant visual content (e.g., video of a current speaker who is not the key participant) can pan, tilt, zoom, and make any other adjustments needed to show the key participant  6 ′. Peripheral devices which are not positioned to capture visual content of the key participant  6 ′ (e.g., the face of the key participant) can stop attempting to track the key participant  6 ′ during such time periods. For example, during the first time period when the key participant  6 ′ is in the first position  6   t1 , the cameras  161 ,  162 ,  171 ,  172 , and  191  are not tracking the key participant  6  because the face of the key participant  6 ′ is not in the view of these cameras. Thus, during the first time period, the only cameras capturing visual content of the key participant  6 ′ located at the first position  6   t1  are the back right camera  181  and the back left camera  182 . 
     At block  5302 , after the key participant moves to the second position  6   t2  (i.e., key participant  6 ) during a second time period, scene data is transmitted from the back right camera  181  and the back left camera  182  via a first communication link to either the conference hub  110  or to a primary peripheral device. Because the key participant has moved to the second position  6   t2 , the key participant  6  is no longer in the view of the cameras  181 ,  182 . The scene data can consist of one or more of content data, reduced quality content data, and metadata. Content data is content captured or generated by the device (e.g., visual content recorded by the device). Reduced quality content data is content data having a lower quality (e.g., lower resolution) relative to the corresponding content data from which the reduced quality content is generated. Using reduced quality content data can reduce the amount of data transmitted between devices and preserve bandwidth for transmitting other data. Metadata can include data confidence level(s), scene quality data, and other data that characterizes the content data as described above. 
     At block  5304 , the scene data from the back right camera  181  and the back left camera  182  transmitted at block  5304  are analyzed to determine content data from the back right camera  181  and the back left camera  182  are insufficient for providing quality content data of the key participant  6  during the second time period. This analysis can be done by the conference hub  110  or the back left camera  182  acting as the primary peripheral device depending on which device the scene data was transmitted to at block  5102 . Content data can be determined to be insufficient when (1) the key participant is not included in the content data, (2) the face of the key participant is not included in the content data, or (3) an eye gaze of the key participant is not included in the content data. What is considered insufficient content data from one or more peripheral devices can be based on what is included in the content data from one or more other peripheral devices. For example, if the content data from all of the peripheral devices does not include the key participant, then content data only showing the key participant without showing the face or eye gaze of the key participant may not be considered insufficient. Conversely, if two or more other peripheral devices show the eye gaze of the key participant, then content data from a particular peripheral device including the face of the key participant may be considered insufficient if the content data does not also include the eye gaze of the key participant. As shown in  FIG. 1B , when the key participant moves to the second position  6   t2  (i.e., key participant  6 ) during the second time period, then the content data from the back right camera  181  and the back left camera  182  are considered insufficient because the key participant is no longer included in the content data of the back right camera  181  and the back left camera  182 . 
     At block  5306 , a request for scene data concerning the key participant  6  is transmitted to one or more other visual peripheral devices (e.g., cameras) during the second time period. The second time period occurs after the first time period has elapsed. In some embodiments, the request can be sent to every other camera in the local environment  101 . Cameras that are not currently capturing something significant (e.g., a current speaker other than the key participant  6  at another location in the local environment  101 ) can then respond to the request by attempting to search for the key participant using facial recognition data or other data configured to identify the key participant that are supplied to the cameras. The attempts to search for the key participant can include panning, tilting, zooming, and other adjustments by the camera(s). 
     At block  5308 , peripheral devices, such as the front right camera  171  and the PTZ camera  162  can respond to the request received at block  5306  and capture content data of the key participant  6  standing at the second position  6   t2  during the second time period. These peripheral devices (i.e., cameras  171 ,  162 ) can then transmit scene data at block  5308  via the first communication link to either the conference hub  110  or to the primary peripheral device (i.e., back left camera  182 ) during the second time period. 
     At block  5310 , the scene data from the front right camera  171  and the PTZ camera  162  transmitted at block  5308  can then be analyzed to determine content data from the front right camera  171  and the PTZ camera  162  are sufficient for providing quality content data of the key participant  6  during the second time period. Content data can be determined to be sufficient when (1) the key participant is included in the content data, (2) the face of the key participant is included in the content data, or (3) an eye gaze of the key participant is included in the content data. What is considered sufficient content data from one or more peripheral devices can be based on what is included in the content data from one or more other peripheral devices. For example, if the content data from all of the other peripheral devices does not include the key participant, then content data only showing the key participant  6  without showing the face or eye gaze of the key participant  6  may be considered sufficient. Conversely, if two or more other peripheral devices show the eye gaze of the key participant  6 , then content data from a particular peripheral device including the face of the key participant  6  may not be considered sufficient if the content data does not also include the eye gaze of the key participant  6 . As shown in  FIG. 1B , when the key participant moves to the second position  6   t2  (i.e., key participant  6 ) during the second time period, then the content data from the front right camera  171  and the PTZ camera  162  can both be considered sufficient because the key participant  6  as well as the face and eye gaze of the key participant  6  is included in the content data of the front right camera  171  and the PTZ camera  162  assuming the key participant is facing the table  137  and the object  7  does not completely obstruct the face and eye gaze of the key participant  6  when viewed from the PTZ camera  162 . 
     At block  5312 , the scene data from the front right camera  171  and the PTZ camera  162  transmitted at block  5308  are compared to determine the front right camera  171  has a better view of the key participant  6  (e.g., content data has a higher quality) during the second time period than the PTZ camera  162 . For example, as shown, the object  7  partially obstructs the view of the key participant  6  from the PTZ camera  162  while the view from the front right camera  171  is not obstructed. This comparison can be done by the conference hub  110  or the back left camera  182  acting as the primary peripheral device depending on which device the scene data was transmitted to at block  5308 . Although the back left camera  182  is acting as the primary peripheral device in the description of method  5300 , any of the peripheral devices in the local environment  101  can act as the primary peripheral device for the method  5300 . For example, after the key participant  6  leaves the view of the back left camera  182 , then one of the cameras (e.g., the front right camera  171 ) having a view of the key participant  6  can become the primary peripheral device. Thus, in some embodiments, the peripheral device selected at block  5312  (i.e., the front right camera  171 ) for having the better view of the key participant  6  can also be the primary peripheral device. 
     At block  5312 , the comparison can determine the content data from the front right camera  171  has a higher quality than the content data from the PTZ camera  162  based on determining the front right camera  171  has a better view of the key participant  6  (see  FIG. 1B ) standing in the front of the local environment  101 . As stated above, one or more of content data, reduced quality content data, or metadata transmitted from the cameras  171 ,  162  can be compared to determine that the front right camera  171  has the better view of the key participant  6 . In one embodiment, determining the front right camera  171  has a better view of the key participant  6  compared to the PTZ camera  162  can be based on determining the content data from the front right camera  171  includes more of (1) a view of the key participant  6 , (2) an unobstructed view of the face of the key participant  6 , and (3) a view of an eye gaze of the key participant  6  than content data from the PTZ camera  162 . In one embodiment, a view of an eye gaze of the key participant  6  is considered sufficient if the optical axis extending from the center of the lens of the camera is less than about 20 degrees, or even less than about 45 degrees of the direction the key participant&#39;s eyes are looking, or, alternately, in some cases the speaker&#39;s face is oriented. Here, the front right camera  171  has more of a view of (1) the key participant  6 , (2) the face of the key participant  6  and (3) the eye gaze of the key participant  6  (assuming the key participant  6  is facing the table  137 ) than the PTZ camera  162  due to the object  7  obstructing some of the view of the key participant  6  from the PTZ camera  162 . 
     In some embodiments, determining a peripheral device (e.g., the front right camera  171 ) has a better view of a key participant  6  can also be based at least in part on determining that the one or more other peripheral devices include a view of the key participant  6  with an interfering signal. In some embodiments, examples of interfering signals that can prevent a peripheral device from having a better view than other peripheral devices can include a distracting movement, white balance issues, other image color issues, reflections, glare, obstructed views (e.g., view of key participant  6  is obstructed by standing person or an object), or predefined areas of a room or parts of a scene that is desired to be blocked (e.g., as window or door opening). For example, the view from the PTZ camera  162  of the key participant  6  is partially obstructed by the object  7  as shown in  FIG. 1B , which is treated as an interfering signal preventing the PTZ camera  162  from having a better view than the front right camera  171 . 
     At block  5313 , a determination is made to provide content data of the key participant  6  to the remote environment  102  during a third time period. The third time period is after the second time period has elapsed. A determination to provide content data of the key participant  6  can be made when the key participant  6  starts speaking or otherwise doing something noteworthy (e.g., arriving, exiting, gesturing, or standing up, etc.). For example, one or more audio peripheral devices and/or the conference hub  110  can be given voice recognition data concerning the key participant  6 , so that audio data can be used to determine when the key participant  6  starts speaking and enable the determination to provide content of the key participant  6  to be made. 
     At block  5314 , content data from the front right camera  171  is transmitted to the conference hub  110  via the second communication link during the third time period based on the determination that the front right camera  171  has the better view of the key participant  6  during the second time period and the determining to provide content data of the key participant  6  during the third time period. 
     At block  5316 , the content data of the key participant  6  from the front right camera  171  is transmitted by the conference hub  110  to the remote environment  102  during the second time period. 
       FIG. 6  is a process flow diagram of a method  6000  for selecting a source (i.e., a peripheral device) for a first type of content (e.g., audio or visual data) in the local environment  101  and transmitting content from the selected source to the remote environment  102 , according to one embodiment. Referring to  FIGS. 1A, 1B, and 6  the method  6000  is described. In some embodiments, the blocks found in the method  6000  can be repeated multiple times in an automated fashion by use of algorithms running on the various devices. The method  6000  is similar to the method  4000  described in reference to  FIG. 4  except that in the method  6000  content data from peripheral devices are compared instead of metadata from the peripheral devices, which is compared in the method  4000 . Furthermore, the method  6000  like the method  4000  is similarly described as selecting the back right camera  181  to provide visual content to the remote environment  102 . 
     Although the following method  6000  is described in reference to selecting the back right camera  181  to provide visual content to the remote environment  102  of a current speaker  5  (see  FIG. 1B ) standing near the right side of the whiteboard  192 , the method  6000  also applies to selecting other peripheral devices to provide other visual content data or for selecting other peripheral devices to provide audio content data. Furthermore, although the method  6000  is described in reference to selecting the back right camera  181  when content data from the cameras  171 ,  181 , and  191  are transmitted and compared, the method  6000  also applies when content data from more or fewer peripheral devices are compared. In the following description of the method  6000 , the whiteboard camera  191  is the primary peripheral device. The selection of a particular peripheral device as the primary peripheral device can be static or dynamic as described above. 
     At block  6002 , a first set of content data is transmitted from one or more peripheral devices to either the conference hub  110  or to a primary peripheral device. For example, a first set of content data can be transmitted from each of the cameras  171 ,  181 , and  191  to the conference hub  110 . Alternatively, content data from each of the cameras  171 ,  181  can be transmitted to the whiteboard camera  191  acting as the primary peripheral device. In such embodiments, the whiteboard camera  191  acting as the primary peripheral device does not transmit a first set of content data since the whiteboard camera  191  acting as the primary peripheral device can compare its own first set of content data with the content data from the front right camera  171  and the back right camera  181 . 
     In some embodiments, the first set of content data that is transmitted at block  6002  has similar properties (e.g., resolution, frame rate, etc.) relative to the content data (e.g., a video feed) that is actually transmitted to the remote environment  102 . In other embodiments, the first set of content data that is transmitted at block  6002  contains less data relative to the content data that is actually transmitted to the remote environment  102 . For example, the first set of content data can have a lower resolution or frame rate relative to the content data that is actually transmitted to the remote environment  102 . In some embodiments, the first set of content data may only include a snapshot, such as a single frame of visual data. Reducing the size of the first set of content data can help prevent transmission and processing of the first set of content data from slowing down the processing and transmission of the content data (e.g., video and audio of a current speaker) that is actually transmitted to the remote environment  102  during a videoconference. 
     At block  6004 , the content data from the from the cameras  171 ,  181 , and  191  are compared to determine the content data from the back right camera  181  has a higher quality than the content data from the front right camera  171  and the whiteboard camera  191 . This comparison can be done by the conference hub  110  or the whiteboard camera  191  acting as the primary peripheral device depending on which device the first sets of content data were transmitted to at block  6002 . In some embodiments, the peripheral device selected at block  6004  for having higher quality content data can also be the primary peripheral device. 
     At block  6004 , the comparison can determine the content data from the back right camera  181  has a higher quality than the content data from the front right camera  171  and the whiteboard camera  191  based on determining the back right camera  181  has a better view of a current speaker  5  (see  FIG. 1B ) standing near the right side of the whiteboard  192  in the local environment  101 . In one embodiment, determining the back right camera  181  has a better view of the current speaker  5  can be based on determining the content data from the back right camera  181  includes more of (1) a view of the current speaker, (2) an unobstructed view of the face of the current speaker, and (3) a view of an eye gaze of the current speaker than content data from the cameras  171 ,  191 . In one embodiment, a view of an eye gaze of a current speaker is considered sufficient if the optical axis extending from the center of the lens of the camera is less than about 20 degrees, or even less than about 45 degrees from the direction the current speaker&#39;s eyes are looking, or, alternately, in some cases the speaker&#39;s face is oriented. 
     In other embodiments, views from different peripheral devices can be compared to determine which peripheral device has a better view of a key region (e.g., the whiteboard  192 ) in the local environment  101  as opposed to an individual (e.g., a current speaker). Determining a peripheral device (e.g., the back right camera  181 ) has a better view of a key region (e.g., the whiteboard  192 ) can be based on determining the content data from the back right camera  181  includes more of (1) a view of the key region, (2) an unobstructed view of the key region, or (3) a view of readable text in the key region than other peripheral devices. 
     In some embodiments, determining a peripheral device (e.g., the back right camera  181 ) has a better view of a current speaker or a key region can also be based at least in part on determining that the one or more other peripheral devices include a view of the current speaker or the key region with an interfering signal. In some embodiments, examples of interfering signals that can prevent a peripheral device from having a better view than other peripheral devices can include a distracting movement, white balance issues, other image color issues, reflections, glare, obstructed views (e.g., view of current speaker is obstructed by standing person or an object), or predefined areas of a room or parts of a scene that is desired to be blocked (e.g., as window or door opening). 
     As stated above, the method  6000  can also be executed for selecting audio content. Determining which peripheral device has higher quality audio content data at block  6004  can be performed, for example, by determining the content data from a first peripheral device (e.g., whiteboard microphone  193 ) includes a speech (e.g., audible sounds coming from a person) from of a current speaker and the content data from the second peripheral device (e.g., overview microphone  163 ) includes speech from the current speaker and unwanted audio. Unwanted audio can include audible sounds other than speech (e.g., shuffling papers). 
     At block  6006 , a second set of content data from the back right camera  181  is transmitted to the conference hub  110  via the first communication link based on determining the first set of content data from the back right camera  181  has a higher quality than the first set of content data from the front right camera  171  and the whiteboard camera  191 . In some embodiments, the first set of content data transmitted to the conference hub  110  or to the whiteboard camera  191  acting as the primary peripheral device can be transmitted via one or more communication links that are separate from the first communication link as described above in the method  4000 . Using a separate communication link can help reduce the likelihood that the transmission and processing of the second set of content data can be slowed down by the transmission and processing of the first set of content data. 
     At block  6008 , the second set of content data from the back right camera  181  (e.g., video of the current speaker  5  standing near the whiteboard  192 ) is transmitted to the remote video conferencing location  102  by the conference hub  110 . 
     While the foregoing is directed to embodiments of the present disclosure, other and further embodiments of the disclosure may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.