Patent Publication Number: US-10334201-B2

Title: Autonomic positioning of overlays within streaming data

Description:
BACKGROUND 
     The present invention relates generally to overlaying objects in a video, more particularly, to autonomic positioning of overlays within streaming data. 
     In an analog world where video pictures are transmitted in analog fashion and carrier waveform, the moving picture is transmitted as a sequential set of “fields” describing a static image to be painted on the screen by a receiver device. The image to be rendered by the receiver is therefore “flat” in the sense that it is a collection of pixels without any meaning. There is no concept of layering nor of objects that might be manipulated by the receiver in some fashion. The generation of secondary objects to be displayed as an overlay of the picture is done at the transmitting end and incorporated into a transmitted picture as an integral part of the transmitted picture. The receiver device in this scenario cannot choose to alter the overlaid object in any fashion whatsoever. 
     Analog video broadcasting developed the ability to transmit an embedded stream within the broadcasting video picture as a mechanism to transmit textual representations of the spoken words or sounds contained in the broadcast for the benefit of the deaf and hard of hearing. Receivers enabled to decode and display the contents of this embedded stream allow the viewer to toggle on or off the display of the captioned information. The positioning of the overlaid object is not under the control of the viewer or the receiver; rather, the positioning is encoded at the source and is part of the data stream. 
     Within the realm of analog video broadcasts, the concept of Picture-in-picture (PiP) has also been developed. In order to achieve this functionality, two tuner mechanisms are needed to present the information to specially designed receivers. The output of one tuner is displayed by the receiver in a full screen and the secondary tuner&#39;s output is displayed as an overlaid picture on top of the primary picture. In this case, the receiver usually enables the viewer to select positioning of the PIP window within a set of pre-selected positions on the screen. 
     In the digital world, video pictures are transmitted as a data stream within the frame of a device or program (CODEC) capable of performing transformation of a data stream or signal and interpreting instructions within the data stream to present a displayed object. Some CODECs support the embedding of one secondary data stream within a primary data stream. In this case, the embedding of a secondary data stream contains an object to be displayed within the frame of the primary display, and usually contains positioning information for the object as well. 
     SUMMARY 
     In an aspect of the invention, a computer-implemented method for autonomic positioning of overlays within streaming data includes: providing, by a computer device, a hosted data stream containing a first display object to a plurality of participants through respective participant devices; providing, by the computer device, a hosted second display object to the plurality of participants through the respective participant devices, wherein the second display object is contained within an overlay that is positioned atop the first display object at a first position; calculating, by the computing device, consensus coordinates for the second display object based on suggested position data received from the respective participant devices; calculating, by the computing device, customized coordinates for the second display object for each of the respective participant devices based on the consensus coordinates and participant data; and sending, by the computing device, the customized coordinates to each of the respective participant devices. 
     In another aspect of the invention, there is a computer program product for autonomic positioning of overlays within streaming data. The computer program product comprises a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a computing device to cause the computing device to: provide a hosted data stream containing a first display object to a plurality of participants through respective participant devices; obtain and process participant data from the respective participant devices to determine correlations and covariance between the participants; provide a hosted second display object to the plurality of participants through the respective participant devices, wherein the second display object is contained within an overlay that is positioned atop the first display object at a first position; receive suggested position data for the second display object from a subset of the respective participant devices; calculate consensus coordinates for the second display object based on the suggested position data; calculate optimal coordinates for the second display object for each of the respective participant devices based on the consensus coordinates and the correlations and covariance between the participants; and send the optimal coordinates to each of the respective participant devices, wherein at least two different optimal coordinates are sent to respective participant devices. 
     In another aspect of the invention, there is a system for autonomic positioning of overlays within streaming data. The system includes a CPU, a computer readable memory and a computer readable storage medium associated with a computing device. The system further includes: program instructions to provide a hosted data stream containing a first display object to a plurality of participants through respective participant devices; program instructions to provide a hosted second display object to the plurality of participants through the respective participant devices, wherein the second display object is contained within an overlay that is positioned atop the first display object at a first position; program instructions to receive suggested position data for the second display object from a subset of the respective participant devices; program instructions to calculate consensus coordinates for the second display object based on the suggested position data; program instructions to retrieve correlation and covariance data for the participants from a data store; program instructions to calculate optimal coordinates for the second display object for each of the respective participant devices based on the consensus coordinates and the correlations and covariance data; and program instructions to send the optimal coordinates to each of the respective participant devices, wherein the optimal coordinates are customized for each of the participants; wherein the program instructions are stored on the computer readable storage medium for execution by the CPU via the computer readable memory. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The present invention is described in the detailed description which follows, in reference to the noted plurality of drawings by way of non-limiting examples of exemplary embodiments of the present invention. 
         FIG. 1  depicts a computing infrastructure according to an embodiment of the present invention. 
         FIG. 2  shows an exemplary environment in accordance with aspects of the invention. 
         FIG. 3  shows a flowchart of a method in accordance with aspects of the invention. 
         FIGS. 4A and 4B  show PiP window re-positioning in accordance with aspects of the invention. 
         FIG. 5  depicts a flow chart of an algorithm for calculating the value of an active user&#39;s contribution, in accordance with embodiments of the invention. 
         FIG. 6  depicts a flow chart of an algorithm for calculating a value for an active user&#39;s standing, in accordance with embodiments of the invention. 
         FIG. 7  depicts a flow chart of an algorithm for calculating a delay value for an active user in accordance with embodiments of the invention. 
         FIG. 8  is a diagram of client component functions and interactions according to embodiments of the invention. 
         FIG. 9  is a diagram of server component functions and interactions according to embodiments of the invention. 
     
    
    
     DETAILED DESCRIPTION 
     The present invention relates generally to overlaying objects in a video, more particularly, to autonomic positioning of overlays within streaming data. In embodiments, a system and method provide a solution for the display of Picture-in-Picture (PiP) windows containing a secondary data stream or video program contained within overlays that can be positioned. Such PiP windows may encompass the display of closed caption overlays, the display of scoreboards in a sporting broadcast, or the display of in-picture advertisement graphics. 
     A drawback to PiP systems and the general overlaying in a display of a secondary object is that the part of the screen which contains the PiP window or the second object to be displayed is obscured and thus not visible to the viewer. Should that obscured portion of the screen contain important information (e.g., action), the viewer will not see it. This obscured information degrades a viewer&#39;s ability to experience the fullness of the primary broadcast or data stream. 
     In embodiments, a method for enhancing overlay positioning in streaming data is provided, including: hosting a data stream containing a first displayed object; providing one or more second displayed objects, wherein the second displayed objects are contained within overlays that are positioned atop the first displayed object and moved by at least one recipient of the hosted data stream and a cognitive computing element; detecting at least one movement of the at least one second displayed object by the at least one recipient of the hosted data stream and a cognitive computing element; and calculating if the movement meets or exceeds a threshold of positional advantage. 
     Advantageously, embodiments of the invention provide a technical solution to enable PiP windows in a video broadcast stream to be viewed without obscuring primary views of interest in a main viewing window of a consumer device by utilizing a cognitive computing element to be integrated in the positioning of video overlays in the video broadcast stream. Moreover, embodiments of the invention foster a sense of community among users whose actions, as a whole, may modify the viewing pleasure of others. 
     The present invention may be a system, a method, and/or a computer program product at any possible technical detail level of integration. The computer program product may include a computer readable storage medium (or media) having computer readable program instructions thereon for causing a processor to carry out aspects of the present invention. 
     The computer readable storage medium can be a tangible device that can retain and store instructions for use by an instruction execution device. The computer readable storage medium may be, for example, but is not limited to, an electronic storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. A non-exhaustive list of more specific examples of the computer readable storage medium includes the following: a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), a static random access memory (SRAM), a portable compact disc read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanically encoded device such as punch-cards or raised structures in a groove having instructions recorded thereon, and any suitable combination of the foregoing. A computer readable storage medium, as used herein, is not to be construed as being transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission media (e.g., light pulses passing through a fiber-optic cable), or electrical signals transmitted through a wire. 
     Computer readable program instructions described herein can be downloaded to respective computing/processing devices from a computer readable storage medium or to an external computer or external storage device via a network, for example, the Internet, a local area network, a wide area network and/or a wireless network. The network may comprise copper transmission cables, optical transmission fibers, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. A network adapter card or network interface in each computing/processing device receives computer readable program instructions from the network and forwards the computer readable program instructions for storage in a computer readable storage medium within the respective computing/processing device. 
     Computer readable program instructions for carrying out operations of the present invention may be assembler instructions, instruction-set-architecture (ISA) instructions, machine instructions, machine dependent instructions, microcode, firmware instructions, state-setting data, configuration data for integrated circuitry, or either source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C++, or the like, and procedural programming languages, such as the “C” programming language or similar programming languages. The computer readable program instructions may execute entirely on the user&#39;s computer, partly on the user&#39;s computer, as a stand-alone software package, partly on the user&#39;s computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user&#39;s computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider). In some embodiments, electronic circuitry including, for example, programmable logic circuitry, field-programmable gate arrays (FPGA), or programmable logic arrays (PLA) may execute the computer readable program instructions by utilizing state information of the computer readable program instructions to personalize the electronic circuitry, in order to perform aspects of the present invention. 
     Aspects of the present invention are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer readable program instructions. 
     These computer readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer readable program instructions may also be stored in a computer readable storage medium that can direct a computer, a programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer readable storage medium having instructions stored therein comprises an article of manufacture including instructions which implement aspects of the function/act specified in the flowchart and/or block diagram block or blocks. 
     The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable apparatus, or other device implement the functions/acts specified in the flowchart and/or block diagram block or blocks. 
     The flowchart and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present invention. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the blocks may occur out of the order noted in the Figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts or carry out combinations of special purpose hardware and computer instructions. 
     Referring now to  FIG. 1 , a schematic of an example of a computing infrastructure is shown. Computing infrastructure  10  is only one example of a suitable computing infrastructure and is not intended to suggest any limitation as to the scope of use or functionality of embodiments of the invention described herein. Regardless, computing infrastructure  10  is capable of being implemented and/or performing any of the functionality set forth hereinabove. 
     In computing infrastructure  10  there is a computer system (or server)  12 , which is operational with numerous other general purpose or special purpose computing system environments or configurations. Examples of well-known computing systems, environments, and/or configurations that may be suitable for use with computer system  12  include, but are not limited to, personal computer systems, server computer systems, thin clients, thick clients, hand-held or laptop devices, multiprocessor systems, microprocessor-based systems, set top boxes, programmable consumer electronics, network PCs, minicomputer systems, mainframe computer systems, and distributed cloud computing environments that include any of the above systems or devices, and the like. 
     Computer system  12  may be described in the general context of computer system executable instructions, such as program modules, being executed by a computer system. Generally, program modules may include routines, programs, objects, components, logic, data structures, and so on that perform particular tasks or implement particular abstract data types. Computer system  12  may be practiced in distributed cloud computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed cloud computing environment, program modules may be located in both local and remote computer system storage media including memory storage devices. 
     As shown in  FIG. 1 , computer system  12  in computing infrastructure  10  is shown in the form of a general-purpose computing device. The components of computer system  12  may include, but are not limited to, one or more processors or processing units (e.g., CPU)  16 , a system memory  28 , and a bus  18  that couples various system components including system memory  28  to processor  16 . 
     Bus  18  represents one or more of any of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, and a processor or local bus using any of a variety of bus architectures. By way of example, and not limitation, such architectures include Industry Standard Architecture (ISA) bus, Micro Channel Architecture (MCA) bus, Enhanced ISA (EISA) bus, Video Electronics Standards Association (VESA) local bus, and Peripheral Component Interconnects (PCI) bus. 
     Computer system  12  typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer system  12 , and it includes both volatile and non-volatile media, removable and non-removable media. 
     System memory  28  can include computer system readable media in the form of volatile memory, such as random access memory (RAM)  30  and/or cache memory  32 . Computer system  12  may further include other removable/non-removable, volatile/non-volatile computer system storage media. By way of example only, storage system  34  can be provided for reading from and writing to a nonremovable, non-volatile magnetic media (not shown and typically called a “hard drive”). Although not shown, a magnetic disk drive for reading from and writing to a removable, non-volatile magnetic disk (e.g., a “floppy disk”), and an optical disk drive for reading from or writing to a removable, non-volatile optical disk such as a CD-ROM, DVD-ROM or other optical media can be provided. In such instances, each can be connected to bus  18  by one or more data media interfaces. As will be further depicted and described below, memory  28  may include at least one program product having a set (e.g., at least one) of program modules that are configured to carry out the functions of embodiments of the invention. 
     Program/utility  40 , having a set (at least one) of program modules  42 , may be stored in memory  28  by way of example, and not limitation, as well as an operating system, one or more application programs, other program modules, and program data. Each of the operating system, one or more application programs, other program modules, and program data or some combination thereof, may include an implementation of a networking environment. Program modules  42  generally carry out the functions and/or methodologies of embodiments of the invention as described herein. 
     Computer system  12  may also communicate with one or more external devices  14  such as a keyboard, a pointing device, a display  24 , etc.; one or more devices that enable a user to interact with computer system  12 ; and/or any devices (e.g., network card, modem, etc.) that enable computer system  12  to communicate with one or more other computing devices. Such communication can occur via Input/Output (I/O) interfaces  22 . Still yet, computer system  12  can communicate with one or more networks such as a local area network (LAN), a general wide area network (WAN), and/or a public network (e.g., the Internet) via network adapter  20 . As depicted, network adapter  20  communicates with the other components of computer system  12  via bus  18 . It should be understood that although not shown, other hardware and/or software components could be used in conjunction with computer system  12 . Examples, include, but are not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data archival storage systems, etc. 
       FIG. 2  shows an exemplary Picture-in-Picture (PiP) system  55  in accordance with aspects of the invention. An exemplary PiP system  55  environment includes a content provider server  60  connected to multiple user devices (represented by user devices  80  and  100 ) through a network  50 . The content provider server  60  may comprise a computer system  12  of  FIG. 1 , and may be connected to the network  50  via the network adapter  20  of  FIG. 1 . The content provider server  60  may be configured as a special purpose computing device that is part of a broadcast provider infrastructure. For example, the content provider server  60  may be configured to provide streaming video with PiP window overlay technology to multiple user devices (e.g.,  80 ,  100 ) simultaneously. 
     The network  50  may be any suitable communication network or combination of networks, such as a local area network (LAN), a general wide area network (WAN), and/or a public network (e.g., the Internet). The user computer devices  80 ,  100  may be a general purpose computing device, such as a desktop computer, laptop computer, tablet computer, smartphone, etc. The user computer devices  80 ,  100  may be special purpose computing devices, such as smart televisions, and the like. Each user computer device (e.g.,  80 ,  100 ) may include a receiver (e.g.,  82 ,  102 ) for receiving streaming data, a display (e.g.,  84 ,  104 ) for displaying the streaming data to a participant, and a user interface (e.g., user interface  86 ,  106 ) enabling the participant to change the position of a PiP window, enter user preference data, etc. Each user computer device (e.g.,  80 ,  100 ) may further include a client component module  88 ,  108  including one or more program modules (e.g., program module  42  of  FIG. 1 ) executed by the respective computer device (e.g.,  80 ,  100 ) to perform one or more functions described herein. In embodiments, the client component module (e.g.,  88 ,  108 ) is configured to: receive user input through a user interface (e.g.,  86 ,  106 ) of the user device (e.g.,  80 ,  100 ), receive user-specific delay data from the content provider server  60 , and cause program streams received from the content provider server  60  to be displayed on the display (e.g.,  84 ,  104 ) of the user device based in accordance with the user-specific delay data. Further details regarding the function of the client component module ( 88 ,  108 ) are provided below. 
     Still referring to  FIG. 2 , the content provider server includes a participant database  62  configured to receive and store participant data, and a plurality of modules configured to perform one or more of the functions described herein. In embodiments, an active user module  64 , a delay module  66  and an autonomic module  68  include one or more program modules (e.g., program module  42  of  FIG. 1 ) executed by the content provider server  60 . In embodiments, the active user module  64  is configured to receive PiP window repositioning input from multiple user devices (e.g.,  80 ,  100 ), compute a value of an individual user&#39;s contribution to the PiP system  55  (based on the received input), compute an individual user&#39;s standing, and update the user&#39;s standing in the participant database  62 . In embodiments, the delay module  66  is configured to retrieve an individual user&#39;s assigned delay (i.e., the amount of delay of a video stream) in the participant database  62 , calculate a user&#39;s delay, and update the user&#39;s assigned delay in the participant database  62 . In embodiments, the autonomic module  68  is configured to obtain PiP positioning feedback data from users, process the data to obtain customized and optimal positioning data for one or more PiP windows, and generate optimal PiP window coordinates. In aspects, the autonomic module  68  includes a cognitive image processor  72  for analyzing consensus coordinate data and participant data to determine customized optimal coordinate data and a data store  73  for storing optimal coordinate data. Additional details regarding each of the above-modules are discussed below. 
       FIG. 3  shows a flowchart of a method in accordance with aspects of the invention. Steps of the method of  FIG. 3  may be performed in the environment illustrated in  FIG. 2 , and are described with reference to elements shown in  FIG. 2 . For ease of reference, the steps of  FIG. 3  are discussed with reference to the user device  80 , although it should be understood that the steps may be performed using other user devices (e.g.,  100 ). 
     At step  300 , participant data is received and stored. In embodiments, participant data is gathered by the content provider server  60  and stored in the participant database  62 . In aspects, a participant (e.g., consumer of streaming digital media) may set individual preferences as to the participant&#39;s willingness to participate in aspects of the PiP system  55 . If the participant chooses to participate, the participant may choose to set individual preferences to govern the liveliness of the PiP movements on the display  84  of their user device  80 . For example, a participant may set preferences regarding frequency of PiP movement and displacement from a previous position. In aspects, the participant utilizes the user interface  86  (e.g., keyboard, remote control, etc.) to enter preferences into their user device  80 , and the client component module  88  communicates the preference information to the content provider server  60 , to be stored in the participant database  62 . 
     In embodiments, the content provider server  60  gathers and stores participant data pertaining to the participant&#39;s user device (e.g.,  80 ,  100 ) such as screen size, type of device, etc. In embodiments, the content provider server  60  gathers and stores participant data pertaining to the participant&#39;s likes, such as data indicating that the participant likes to watch a particular sport. 
     At step  301 , the content provider server  60  streams content to the receiver  82  of the user device  80 . By way of example, a video of a sporting event hosted by the content provider server  60  may be streaming to multiple user devices (including user device  80 ) simultaneously. 
     At step  302 , participant data stored in the participant database  62  may be utilized by the content provider server  60  to group participants according to their common characteristics, such as the type of device they own and their viewing preferences. In aspects, the content provider server  60  analyzes the participant data in the participant database  62  and determines correlations (relationships) between participants. By way of example, participants who have the same type of user device (e.g., a particular brand and size of television) and who like the same sports would have a higher correlation than users who have the same type of user device, but who like different type of programming (e.g., sports vs. sitcoms). Steps  300  and  302  can be conducted on an ongoing basis, so that new participant data is continuously gathered and analyzed to determine up-to-date correlations and relationships between participants. 
     At step  303 , the content provider server  60  defines an initial set of active users (confers active user status on a number of participants/participant devices to define a group of active users). In aspects, the active user module  64  initially assigns active user status to all the joiners of a stream. As used herein, the term joiner means the user of participant devices (e.g., recording devices) receiving the stream. Active users are conferred with certain privileges, as are discussed in more detail below. All participants may be defined by the active user module  64  as active users or passive users. A set of passive users is defined as all participants of the video stream or feed that are not part of the active user group. In aspects, the passive user group comprises participants who are passive viewers who choose not to adjust a PiP window, non-human recording streaming recording programs, or those human participants that make adjustments to the Pip window who are not part of the active user group. 
     In aspects, participants are added to the active user group by the content provider server  60  until a statistically significant group is formed, or the group has reached a predefined size. In embodiments, the size of the active user group is defined as a statistically significant number of participants compared to the total number of viewers. This level of significance, as denoted by a, is set arbitrarily by the content provider server  60  as a measure of desired accuracy in PiP placement. The higher the level of significance (e.g., 0.1%, 1%, 5%, etc.) the higher the chance that the average placement of the PiP window by the several participants of the active user group results in the optimal placement of the PiP window, to the detriment of complexity and increased computing requirements. At a constant α, if the universe of the stream viewers (participants) increases, so does the size of the active user group. Likewise, as a stream becomes less popular, the size of the active user group decreases. 
     At step  304 , the cognitive image processor  72  of the autonomic module  68  determines initial PiP window coordinates. In embodiments, the cognitive image processor  72  utilizes historic feedback from all active users to calculate customized optimal PiP window coordinates. The manner in which the cognitive image processor  72  calculates optimal PiP window coordinate are discussed in more detail below. 
     At step  305 , PiP window coordinates are sent to the user device  80 . In embodiments, the content provider server  60  sends the initial PiP window coordinates to the client component module  88  of the user device  80 , and the client component module  88  utilizes the coordinates to display a PiP window to a user through the display  84 . 
     At step  306 , updated PiP positioning data is received. In embodiments, the content provider server  60  receives updated PiP positioning data from the client component module  88  of the user device  80  in response to a user adjusting the position of a PiP window within their display  84 . 
     At step  307 , the content provider server  60  continuously monitors participant participation and adjusts the active group membership accordingly. In aspects, the active user module  64  monitors the PiP positioning data received at step  306  to determine the status of a participant. Further details regarding the manner in which the content provider server  60  monitors participant participation and adjusts the active user group are set forth in substeps  308 - 311 . 
     Still referring to  FIG. 3 , in a substep  308 , a value of a participant&#39;s contribution is computed. In aspects the active user module  64  computes the value of a participant&#39;s contribution based on the PiP position data received at step  306 . Details regarding the manner in which the value of a participant&#39;s contribution may be calculated are discussed with respect to  FIG. 5 . 
     In substep  309 , the value of a participant&#39;s standing is calculated. In embodiments, the active user device  64  computes the value of a participant&#39;s standing based on the PiP position data received at step  306 . Details regarding the manner in which the value of a participant&#39;s standing may be calculated are discussed with respect to  FIG. 6 . 
     In substep  310 , a participant&#39;s individually assigned delay value is determined. In aspects, the delay module  66  determines the amount of streaming video delay assigned to a particular participant based on the participant&#39;s standing determined at step  309 . Details regarding the manner in which the delay value are discussed with respect to  FIG. 7 . 
     In substep  311 , the participant&#39;s standing is updated. In aspects, the delay module  66  updates a participant&#39;s standing in the participant database  62  based on the determination at substep  310 . 
     At step  312 , the content provider server  60  sends the delay for a particular user determined at step  310  to a corresponding user device (e.g.,  80 ,  100 ). In embodiments, the client component module (e.g.,  88 ,  108 ) of the user device stores the delay and causes the streaming content of step  301  to be displayed in a delayed manner based on the delay. 
     At step  313 , consensus position data is calculated and stored in a data store. In embodiments, the content provider server  60  determines consensus position data based on PiP position data received from a plurality of user devices (e.g.,  80 ,  100 ) at step  305 . Additional details regarding this step are discussed below. 
     At step  314 , the autonomic module  68  retrieves participant data from the participant database  62  for appropriate participants (i.e., each participant whose PiP window is to be moved/adjusted by the PiP window system  55 ). 
     At step  315 , the consensus position data from step  313  is processed and optimal PiP window coordinates are calculated based on the consensus position data and the participant data retrieved at step  314 . In aspects, the cognitive image processor  72  of the autonomic module  68  calculates the optimal PiP window coordinates based on the consensus position data from step  313  and participant data retrieved from the participant database  62  at step  314  to obtain customized optimal PiP window coordinates. 
     The method then returns to step  305 , wherein the PiP window coordinates sent to participants are the optimal coordinates of step  312 . In embodiments, the content provider server  60  sends the optimal PiP window coordinates from step  313  to the client component module  88  of the user device  80 , which causes the PiP window to be repositioned within the display  84 . In aspects, each user device (e.g.,  80 ,  100 ) receives different optimal PiP window coordinates in accordance with step  305 . 
     User Type Identification 
     With reference to step  307  of  FIG. 3 , the active user module  64  may determine membership in the active user group based on the participant&#39;s continued PiP window repositioning activity. For example, frequent adjustments to the position of a PiP window by an active user cause the active user module  64  to increase the active user&#39;s status in the active user group. In aspects, frequent adjustments of a PiP window by a participant who has not been designated as an active user can result in a promotion of the participant by the active user module  64  from a passive user group into the active user group. Conversely, passive viewership degrades the participant&#39;s standing in the active user group by the active user module  64 , even including demotion of the participant out of the active user group and into the passive user group. In embodiments, the content provider server  60  provides rewards to active users in the form of lower streaming video delays. Thus, the relative status of the active user may control the delay of the video stream to their user device (e.g.,  80 ), with higher status being rewarded with lower delay values. 
     User Type Promotion 
     With reference to step  307  of  FIG. 3 , promotion of a given participant into the active user group may be embodied by a random selection method or a more complex algorithm. In embodiments, promotion of participants to the active user group is performed by the active user module  64  for every joiner to the stream that causes the size of the active user group to deviate from the stated a level by more than 0.0001 accuracy. In all cases, continued membership in the group is governed by the relative weight of the participant&#39;s contributions as compared to the contributions of all the other active users, plus the minimum size required maintaining statistical relevance, or meeting the desired a level. 
     In embodiments, a weight of contribution (e.g., PiP movement by participant) of a given active user degrades over time, so that members of the active user group are incentivized to continue to fine-tune the position of the PiP window. Continual fine tuning of the placement of the PiP window earns the active user increased stature in the active user group by the active user module  64 , and prevents the active user from being demoted back to the passive user group. 
     Passive Users 
     With reference to step  312 , of  FIG. 3 , in aspects, passive users receive the video image at their user device (e.g.,  80 ) from the content provider server  60  after a programmed-in delay recognized by the delay module  66 . This delay is used to allow for the PiP system  55  to compute the placement of the PiP window for any given time, and also allow the system  55  to cause advance movement of the PiP window. In this manner, the passive users, which may be either a significant majority or almost a totality of the entire viewership, are rewarded by having the PiP window move in advance of the action moving to that part of the screen, and thus avoid primary view occlusion. 
     Stream Delay 
     The delay of the stream offered to the general population (passive users) is in relation to the complexity of the stream being presented. A stream that by its nature elicits many adjustments by the active users (e.g., PiP window placement is adjusted frequently) will have a higher delay value. This is termed the base delay value. The delay that the stream has for an individual participant (active or passive) is an offset from the base delay value and has the effect of decreasing it. In this manner, the addition of the base delay and the offset produce the actual delay value experienced by any consumer. In aspects, this delay mechanism is introduced by the delay module  66  to facilitate the gradual advancement or delay of the video stream to match a participant&#39;s standing within, promotion into, or demotion out of, the active user group as recognized by the active user module  64 . 
     With reference to step  307  of  FIG. 3 , in embodiments, the offset delay of a participant is thus calculated programmatically by the delay module  66  as the participant interacts with the PiP system  55 , and produces movement of the PiP window that produces a position advantage. A participant that alters the position of the PiP in a negative manner is one that moves the PiP window to a placement that is incongruous with the majority of the active user&#39;s placements of the PiP window. Over time, such negative movements will compound and the participant&#39;s contribution will be degraded in value by the active user module  64 , causing the participant to be demoted from the active users group. In embodiments, the offset of the participant who introduces such negative movements is varied in small increments to make the automatic adjustments of the system  55  unnoticeable by participants (viewers). 
     Proposed Overlay Positioning 
       FIG. 4A  depicts the display  84  of  FIG. 2  displaying a current video frame  200  in a window  202 . In embodiments, the content provider server  60  presents one or more proposed PiP windows to all active users as translucent overlays  204   a ,  205   a  on the current video frame  200 , with proposed positions P 1 , P 2  and sizes S 1 , S 2 . The translucent overlays  204   a ,  205   a  are taken from the position and size of the window  202  of the participant with the highest standing in the active user&#39;s group. Since the participant with the highest standing has the least delay time, the participant is the first to see the action (from the current video frame  200 ) on the display  74  and can propose where the one or more PiP windows ( 204   a ,  205   a ) should be positioned to minimize occlusion. For example, the highest ranking active user may utilize a mouse (represented at arrow  206 ) to move the PiP window  205   a  from an initial position P 1  to a different position P 3 . As this choice is presented to the other members of the active user group, they can, by the preponderance of their positioning choices, support or detract from the initial window placement proposal. As the standing is continually computed, the active user with the most standing will tend to be the one to best represent the consensus of the active user community regarding placement of the one or more PiP windows, as well as being the most engaged active user. 
     Algorithms 
       FIG. 4B  depicts the display  74  of  FIG. 4A  after the automatic consensus placement of PiP windows  204   b ,  205   b  (consensus PiP windows) by the content provider server  60 . The one or more PiP windows are repositioned according to a predetermined quantum of time. As used herein, the term “a quantum of time” refers to the amount of time between PiP window repositioning (e.g., every 5 seconds). The quantum of time is set by an administrator of the video feed to balance the responsiveness of the PiP system  55  with the detriment of increased computing resource requirements, and the required engagement by the active user community. In aspects, an administrator sets the quantum of time using the delay module  66  of the content provider server  60 . If the quantum of time be set too low, the administrator risks increasing the workload of the active users enough that they decide to disengage from the PiP positioning activity. 
     Computing the position and size of each resulting consensus PiP windows ( 204   b ,  205   b ) for any given quanta of time in the video stream is based on the weighted averaging of the coordinates of the top-left corner  208   a  of the PiP window  205   a  and the bottom-right corner  209  in the several active user displays (e.g.,  74 ,  94 ) for that given quantum of time. Specifically, the Cartesian (x,y) value is multiplied by the value of the active user&#39;s standing in the active user group. In this manner, the active user with the most standing has the most effect in the resulting PiP window&#39;s position and size. The coordinates (x i , y i ) are defined as the Cartesian coordinates for the top-left corner  208   a  of the proposed window of a participant i, and S i  is defined as the standing of the participant i. The Cartesian coordinates of the top-left corner  208   b  of the new PiP window  205   b  is calculated with the formula: 
     
       
         
           
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     The above formula is the average coordinates of all active users weighted by their corresponding standing within the universe of all active users. Similarly, the same formula is used to calculate the Cartesian coordinates for the bottom-right corner  210   b  of the new PiP window  205   b.    
     User Contributions 
     With reference to step  313  of  FIG. 3 , in embodiments, computing the value of the contribution of a given active user to the placement of the consensus PiP window (e.g.,  205   b ) is done by computing the amount of pixels in the active user&#39;s PiP window (e.g.,  205   a ) that are present in the resulting computed position (e.g., P 3 ) and size (e.g., S 1 ), subtracted by the amount of pixels in the active user&#39;s PiP window (e.g.,  205   a ) that are not present in the resulting computer position (e.g., P 4 ) and size (e.g., S 3 ). In this manner, the absolute value of the contribution of the given active user is directly proportional to the amount of overlap between the two PiP windows (e.g.,  205   a ,  205   b ). Using this technique, the active user is prevented from confusing the system by making an oversized window, and is penalized by the system for doing so. 
       FIG. 5  depicts a flow chart of an algorithm for calculating the value of an active user&#39;s contribution  501 , in accordance with embodiments of the invention. As depicted in  FIG. 5 , the active user module  64  initially obtains a participant&#39;s PiP and consensus PiP window coordinates at  502 , and assigns the parameter y to the user&#39;s top coordinate at  503 . If y is less than or equal to the bottom coordinate at  504 , then y is equals the consensus top coordinate at  505 . If y is not less than or equal to the bottom coordinate at  506 , then the value of y is equal to Present-Absent at  507 , and the process ends at  508 . If y is not less than or equal to the bottom coordinate at  506 , then x equals the consensus left coordinate at  509 , and it is determined if x is equal to the consensus left coordinate at  510 . If the x is not less than or equal to the right coordinate at  510 , then it is determined if (x,y) is in the user&#39;s window at  511 . If (x,y) is in the user&#39;s window at  511 , then the flow returns to step  510 . If (x,y) is not in the user&#39;s window at  511 , then it is determined to be absent at  512 , and the flow returns to step  510 . If x is less than or equal to the right coordinate at  510 , then the flow returns to step  506 . 
     At step  504 , if y is not less than or equal to the bottom coordinate, then x equals the user&#39;s left coordinate at  513 . If x is less than or equal to the right coordinate at  514 , then the flow returns to  504 . If x is not less than or equal to the right coordinate at  514 , then it is determined if (x,y) is in the consensus window at  515 . If (x,y) is in the consensus window at  515 , then it is determined to be present at  516  and the flow returns to step  514 . If (x,y) is not in the consensus window at  515 , then the flow returns to step  514 . 
     Active User Standing 
     Referring back to step  307  of  FIG. 3 , in embodiments, computing the standing of a given active user within the group of active users is performed by first subtracting a current standing value of an active user by a constant fraction (e.g., one-half, one-tenth, etc.) of the amount of pixels in the consensus PiP window (e.g.,  205   b ). The higher the faction, the faster the active user&#39;s contributions are aged. Next, the value of the contribution for the current quantum is added. The resulting value is therefore incremented by the value of the current contribution (which could be positive or negative, but is never more than the number of the pixels in the consensus window), and reduced by the constant&#39;s amount. This results in a PiP system  55  with more opportunities for penalties than rewards. 
       FIG. 6  depicts a flow chart of an algorithm for calculating a value for an active user&#39;s standing, in accordance with embodiments of the invention. As depicted in  FIG. 6 , a users standing at  600  is determined by the active user module  64  by first obtaining a user&#39;s current standing, aging factor and maximum standing at  601 . At  602  the standing is calculated by: Standing=Standing−(Standing*Aging Factor). At  603  the value of a user&#39;s contribution is determined by the active user module  64 . At  604 , standing is calculated by: Standing=Standing+value of contribution. At  605 , if the standing is greater than the maximum standing then the active use module  64  sets the Maximum Standing=the Standing at  606 , and the process ends at  607 . If the standing is not greater than the maximum standing then the process ends at  607 . 
     Determining User Delay 
     Referring back to step  307  of  FIG. 3 , a given participant&#39;s delay (e.g., the amount of time that viewing of a stream of video by a user will be delayed with respect to receipt of the stream at a user device) may be calculated by first calculating an offset delay. The offset delay is calculated as the difference between the participant&#39;s standing and the maximum standing value. In this manner, the participant with the most standing has an offset of zero, effectively having a delay that matches the base delay. Participants with no standing (such as passive users or participants otherwise outside of the active user group) have the maximum offset delay time possible (i.e., the maximum delay). Participants in the active user group will therefore have a delay somewhat between the base delay and the maximum delay. The base delay is a value chosen by an administrator of a video feed that is sufficient to allow the content provider server  60  to perform all the computations required and meet the allowed delay time such as might be mandated by regulating authorities. The maximum delay is a value chosen by the administrator of the video feed that is the delay value given for regular participants (i.e., those not part of the active user group). 
       FIG. 7  depicts a flow chart of an algorithm for calculating a delay value for an active user in accordance with embodiments of the invention. As depicted in  FIG. 7 , a user delay  700  is determined by delay module  66  by obtaining an input of Maximum Standing, Base Delay and Maximum Delay at  701 ; finding a user&#39;s standing at  702  (e.g., obtain user standing calculated by the active user module  64  in accordance with the algorithm of  FIG. 6 ); at  703  calculating an offset using: Offset=(Maximum Standing−User&#39;s Standing)/Maximum Standing; at  704  calculating delay using: Delay=(Maximum Delay−Base Delay)*Offset; and ending the algorithm at  705 . 
     Autonomic Component 
     In embodiments, the autonomic module  68  is utilized to obtain optimal PiP coordinates for each participant in the PiP window system  55  based on consensus position data and participant data. In aspects, consensus position data is obtained in accordance with step  313  of  FIG. 3 , using the consensus window algorithm described above. In aspects, the autonomic module  68  analyses the consensus position data and the participant data to obtain a probability of a good PiP window for a given participant given a location (x,y coordinates) and a user group (participant group) of the participant. This probability is illustrated as:
 
 P (Good PiP for user/location &amp; user group)= P (location/good PiP* P (user group/Good PiP)* P (Good PiP)/ P (location)* P (user group).
 
     It is desirable to maximize the likelihood&#39;s of P(location|good PiP), P(location|good PiP) with the prior P(Good PiP). This means that the autonomic module  68  must determine if it has prior information about P(Good PiP) or the initial location of the PiP. In a first case (A), the autonomic module  68  does not have access to prior information, and the problem is treated as a uniform distribution of all PiPs for participants in a group, and is treated as a particle swarm optimization problem until the autonomic module  68  accumulates prior information. In a second case (B), the autonomic module  68  does have access to prior information, and uses the prior information to determine what a participant is interested in, recognizing objects in a video stream and placing the PiP location that best suits the prior information. 
     To obtain P(user group/good PiP) the autonomic module  68  uses: 
     
       
         
           
             
               
                 
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     The following variables are utilized by the above-formula: N=the number of participants in a group; S sub i=a user&#39;s standing, where the sub i stands for a particular participant; R sub i=the correlation or how much the user&#39;s standing should be magnified by looking at how much participants&#39; profiles (e.g., behaviors, preferences) match each other; and C sub i=the covariance between two users, which indicates in which direction the user&#39;s standing will move (positive or negative). 
     The P(user group|Good PiP) must be greater than or equal to 0 or less than or equal 1. 
     To obtain the length (l) and width (w) of a PiP window, the autonomic module  66  uses the formula: 
     
       
         
           
             
               
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     The following variables are utilized by the above-formula: (l ri ) is the length of a region (r) for a participant (i), for a PiP; (w ri ) is the width of a region (r) for a participant (i); and thresh indicates a predetermined threshold value. All of the regions are joined together. The base l and w are variables that must be solved to know how to stretch the PiP given the x and y positions of the upper left hand corner. 
     It is desirable to maximize S, R, C, l, and w. When maximized, the variables are applied to the following formula: 
     
       
         
           
             
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     In aspects, the autonomic module  68  uses the formula above to shift (x,y) coordinates of a PiP window for a particular participant from a consensus PiP position to a position optimized (customized) for the particular participant. In aspects, each user in the active group is correlated together by the active user module  64  through standing mean&#39;s over a window of time in accordance with step  302  of  FIG. 3 . A positive coefficient means that two participants&#39; standing increase or decrease together. A negative coefficient means that the values travel in the opposite direction. In aspects, more weight is granted to the consensus window weight to a participant&#39;s group that is correlated. As a result, covariance determines if weight increases or decreases while correlation determines by how much. 
     One example of a covariance is as follows. Participant A likes a first sports team. Participant B likes a rival sports team. Both Participant A and Participant B are watching highlights of the rival sports team. The covariance will be −1 in this scenario, because Participant A and Participant B have opposite interests in the content. 
     One example of a correlation is as follows. Participant A likes sports and clothing. Participant B likes sports and food. Participant A and Participant B&#39;s interests will change over time, so the correlation between Participant A and Participant B is 0.6, which is measured on a scale of 0-1. 
     The manner in which the PiP window system  55  may function will now be described with reference to  FIGS. 8 and 9 . 
       FIG. 8  is a diagram of client component (e.g.,  88 ,  108 ) functions and interactions according to embodiments of the invention. At  900  a participant utilizes a user interface (e.g.,  86 ,  106 ) to cast a vote on a proposed schedule (i.e., moves a PiP window to a proposed location), and the vote is received by the client component (e.g.,  88 ,  108 ) at  902  as user input. The client component (e.g.,  88 ,  108 ) sends the vote to the content provider server  60  at  903 . At  904  the content provider server  60  sends a second program stream (PiP window) as an overlay at a correct time. At  906 , the content provider server  60  sends delay information calculated by the delay module  66  to the client component (e.g.,  88 ,  108 ) in accordance with step  312  of  FIG. 3 . At  905 , the client component (e.g.,  88 ,  108 ) displays the received second program (PiP window), and at  907  the client component (e.g.,  88 ,  108 ) adjusts the timing of the playback (display of the stream to the user) based on the delay information sent at  906 . A client loop is represented at  901 . At  908 , a participant (user) sees the secondary program (PiP window) through a display (e.g.,  84 ,  104 ). 
       FIG. 9  is a diagram of server component (e.g.,  60 ) functions and interactions according to embodiments of the invention. At  800  an active user sends (e.g., through active user device  80 ) updated PiP position data to the content provider server  60 . At  801 , the content provider server  60  receives the user input, and at  802  the content provider server  60  computes a value of the participant&#39;s contribution. At  803  the content provider server  60  computes the participant&#39;s standing. At  804  the content provider server  60  finds the participant&#39;s delay, and at  805  updates the participant&#39;s standing and delay in a data store (e.g., participant database  62 ). In embodiments, at  806 , the content provider server  60  sends a new delayed stream of content to the user computer device (e.g.,  80 ,  100 ), and the user computer device receives the delayed stream at  807 . 
     At  808 , all participants receive (e.g., through user devices  80 ,  100 ) updated PiP coordinates periodically, where the coordinates are customized for each individual participant by the autonomic module  68 . A server loop is represented at  809 . At  810  the content provider server  60  retrieves a participant&#39;s PiP coordinates from a data store and at  811  computes the participant&#39;s standing. At  812  the content provider server  60  updates a participant&#39;s standing in a data store (e.g., the participant database  62 ). It can be understood that steps  803  and  804  for active users may be the same as steps  811  and  812  for all users (including passive users). At step  813  the content provider server  60  determines if all users have been processed, and if they have, computes consensus PiP coordinates at  814 . Conversely, if the content provider server  60  determines that less than all of the users have been processed, then  810 - 813  are repeated until all of the users have been processed. In embodiments, at step  815  consensus PiP coordinates are sent to participants periodically and the coordinates are received by participants as updated coordinates at  808 . In embodiments, if consensus PiP coordinates are available, they are fed to the autonomic module  68  at  816 , and are received by the cognitive image processor  72  at  818 . In embodiments, participant data (e.g., correlation and covariance data) at  817  is also fed to the autonomic module  68  at  816 . The cognitive image processor  72  determines optimal PiP coordinates for each participant in accordance with methods discussed above, and at  818  feeds the optimal PiP coordinates to the content provider server  60  at  815  to send to the participants at  808 . 
     In embodiments, the initial PiP coordinates sent to a participant (i.e., the position of the first instance of the PiP window displayed to a user) are optimal PiP coordinates calculated by the autonomic module  68  based on participant data from the participant database  62 . In embodiments, updated PiP coordinates sent to participants after the initial PiP coordinates are consensus PiP coordinates. 
     In embodiments, a service provider, such as a Solution Integrator, could offer to perform the processes described herein. In this case, the service provider can create, maintain, deploy, support, etc., the computer infrastructure that performs the process steps of the invention for one or more customers. These customers may be, for example, any business that provides streaming content. In return, the service provider can receive payment from the customer(s) under a subscription and/or fee agreement and/or the service provider can receive payment from the sale of advertising content to one or more third parties. 
     In still another embodiment, the invention provides a computer-implemented method for autonomic overlaying of objects within a hosted data stream. In this case, a computer infrastructure, such as computer system  12  ( FIG. 1 ), can be provided and one or more systems for performing the processes of the invention can be obtained (e.g., created, purchased, used, modified, etc.) and deployed to the computer infrastructure. To this extent, the deployment of a system can comprise one or more of: (1) installing program code on a computing device, such as computer system  12  (as shown in  FIG. 1 ), from a computer-readable medium; (2) adding one or more computing devices to the computer infrastructure; and (3) incorporating and/or modifying one or more existing systems of the computer infrastructure to enable the computer infrastructure to perform the processes of the invention. 
     The descriptions of the various embodiments of the present invention have been presented for purposes of illustration, but are not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein was chosen to best explain the principles of the embodiments, the practical application or technical improvement over technologies found in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.