PATENT DOCUMENT

Publication Number: US-7653250-B2
Application Number: US-11855405-A
Country: US
Kind Code: B2

Title: Adjusting sampling rate for encoding

Abstract:
Some embodiments provide a method for adjusting a video sampling rate during an video encoding operation. The method receives a metric that quantifies the usage of a computer that performs the video encoding operation. The method computes an adjustment factor based on the metric. In some embodiments the metric is a system idle time. The method defines the video sampling rate based on the adjustment factor. Some embodiments compute the adjustment factor by performing a non-linear operation based on the metric. In some embodiments, the non-linear operation includes performing an integral operation based on the metric. In some embodiments, the non-linear operation includes performing a derivative operation based on the metric. Some embodiments perform more than one operation to compute the adjustment factor. In some embodiments, each operation is assigned a weight.

Claims:
1. A method for adjusting a video sampling rate that is used during a video encoding operation of a multi-participant video conference, the method comprising:
 at a computing device of a first participant of said video conference:
 defining an initial video sampling rate for determining the rate at which a composite video of said video conference is generated; 
 receiving video content of at least said first participant and a second participant of said conference; 
 receiving a metric that quantifies the usage of the computing device that performs the video encoding operation; 
 computing an adjustment factor based on the metric; 
 redefining the video sampling rate based on the adjustment factor; and 
 based on the redefined video sampling rate, encoding said composite video comprising said video content of said first and second participants. 
 
 
     
     
       2. The method of  claim 1 , wherein the computing of the adjustment factor comprises using a proportional integral derivative (“PID”) operation to compute the adjustment factor based on the received metric. 
     
     
       3. The method of  claim 2 , wherein the PID operation performs a proportional calculation, an integral calculation, and a derivative calculation, and combines results of said calculations through a set of weighting factors. 
     
     
       4. The method of  claim 3 , wherein at least one weighting factor in the set of weighting factors is set to zero. 
     
     
       5. The method of  claim 1 , wherein the computing of the adjustment factor comprises using a non-linear calculation to compute the adjustment factor based on the received metric. 
     
     
       6. The method of  claim 1 , wherein the metric comprises a system idle of the computing device. 
     
     
       7. The method of  claim 6 , wherein the system idle is an idle percentage of a processor of the computing device. 
     
     
       8. The method of  claim 6 , wherein the video sampling rate is not redefined when the system idle is above a certain threshold value. 
     
     
       9. The method of  claim 6 , wherein the video sampling rate is redefined when the system idle is above a certain threshold value. 
     
     
       10. The method of  claim 6 , wherein the video sampling rate is redefined when the system idle is below a certain threshold value. 
     
     
       11. A computer readable storage medium storing a computer program which when executed by one or more processors adjusts a video sampling rate that is used during a video encoding operation of a multi-participant video conference, the computer program comprising sets of instructions for:
 at a computing device of a first participant of said video conference; 
 defining an initial video sampling rate for determining the rate at which a composite video is generated;
 receiving video content of at least said first participant and a second participant of said conference; 
 
 receiving a metric that quantifies the usage of the computing device that performs the video encoding operation; 
 computing an adjustment factor based on the metric; 
 redefining the video sampling rate based on the adjustment factor; and
 based on the redefined video sampling rate, encoding said composite video comprising said video content of said first and second participants. 
 
 
     
     
       12. The computer readable storage medium of  claim 11 , wherein the set of instructions for computing of the adjustment factor comprises a set of instructions for using a proportional integral derivative (“PID”) operation to compute the adjustment factor based on the received metric. 
     
     
       13. The computer readable storage medium of  claim 12 , wherein the PID operation performs a proportional calculation, an integral calculation, and a derivative calculation, and combines results of said calculations through a set of weighting factors. 
     
     
       14. The computer readable storage medium of  claim 13 , wherein one or more of weighting factors in the set of weighting factors is set to zero. 
     
     
       15. The computer readable storage medium of  claim 11 , wherein the set of instructions for computing of the adjustment factor comprises a set of instructions for using a non-linear calculation to compute the adjustment factor based on the received metric. 
     
     
       16. The computer readable storage medium of  claim 11 , wherein the metric comprises a system idle of the computing device. 
     
     
       17. The computer readable storage medium of  claim 16 , wherein the system idle is an idle percentage of a processor of the computing device. 
     
     
       18. The computer readable storage medium of  claim 16 , wherein the video sampling rate is not redefined when the system idle is above a certain threshold value. 
     
     
       19. The computer readable storage medium of  claim 16 , wherein the video sampling rate is redefined when the system idle is above a certain threshold value. 
     
     
       20. The computer readable storage medium of  claim 16 , wherein the video sampling rate is redefined when the system idle is below a certain threshold value. 
     
     
       21. The method of  claim 1  further comprising encoding the video content at the redefined sampling rate. 
     
     
       22. The method of  claim 1 , further comprising distributing the video content to a set of non-focus devices in the video conference, said metric quantifying the usage of the computing device. 
     
     
       23. The method of  claim 1 , wherein said metric comprises the usage of a processor of said computing device that performs the video encoding operation. 
     
     
       24. A method for adjusting a video sampling rate that is used during a video encoding operation of a multi-participant video conference, the method comprising:
 at a computing device of a participant, which serves as one of a central distributor and a non-central distributor of video content during the multi-participant video conference: 
 determining a metric that quantifies processor usage of said computing device that performs the encoding during the video conference; 
 computing an adjustment factor based on the metric; 
 adjusting the video sampling rate based on the computed adjustment factor;
 when the computing device serves as the central distributor, encoding composite video content for other non-central distributors based on the adjusted sampling rate; and 
 when the computing device serves as the non-central distributor, encoding video content for another central distributor based on the adjusted sampling rate. 
 
 
     
     
       25. The method of  claim 24 , wherein the computing of the adjustment factor comprises using a proportional integral derivative (“PID”) operation to compute the adjustment factor based on the determined metric. 
     
     
       26. A computer-implemented method for encoding frames of a video conference, said method comprising:
 at a computing device of a participant, which serves as one of a central distributor and a non-central distributor of video content during the multi-participant video conference: 
 providing a control system for receiving a usage metric that quantifies the usage of the computing device that performs the encoding during the video conference and computing an adjustment factor based on the usage metric; 
 providing a frame rate adjuster for receiving the adjustment factor and generating a frame sampling rate; and 
 providing a video encoding module for receiving the generated frame sampling rate and encoding video of the video conference according to the generated frame sampling rate, wherein the video encoding module encodes the video for other non-central distributors when the computing device serves as the central distributor, and encodes the video for another central distributor when the computing device serves as the non-central distributor. 
 
     
     
       27. The computer-implemented method of  claim 26 , wherein said frame rate adjuster is further for receiving a reference input that represents a minimum threshold for said usage metric. 
     
     
       28. The computer-implemented method of  claim 26 , wherein said usage metric comprises at least one of system idle time and system processing time. 
     
     
       29. The computer-implemented method of  claim 26 , wherein said control system is farther for computing an error value by calculating the difference between the usage metric and a reference input that represents a minimum threshold for said usage metric. 
     
     
       30. The computer-implemented method of  claim 29 , wherein said control system is further for computing from said error value at least one of a proportional output value, an integral output value, and a derivative output value. 
     
     
       31. The computer-implemented method of  claim 30 , wherein said control system computes said adjustment factor by summing the proportional, integral, and derivative output values. 
     
     
       32. The computer-implemented method of  claim 30 , wherein said usage metric comprises at least one of system idle time and system processing time. 
     
     
       33. The computer-implemented method of  claim 26 , wherein the computing of the adjustment factor comprises using a proportional integral derivative (“PID”) operation to compute the adjustment factor based on said usage metric.

Description:
CROSS REFERENCE TO RELATED APPLICATIONS 
     This Application is related to the following applications: U.S. patent application Ser. No. 11/118,931, filed Apr. 28, 2005; U.S. patent application Ser. No. 11/118,932, filed Apr. 28, 2005; U.S. patent application Ser. No. 11/118,555, filed Apr. 28, 2005; U.S. patent application Ser. No. 11/118,297, filed Apr. 28, 2005; U.S. patent application Ser. No. 11/118,553, filed Apr. 28, 2005; and U.S. patent application Ser. No. 11/118,615, filed Apr. 28, 2005. 
     FIELD OF THE INVENTION 
     The present invention is directed towards adjusting sampling rate for encoding. 
     BACKGROUND OF THE INVENTION 
     The transmission of video streams (e.g., High Definition (“HD”) television programming, Internet video conferencing) often requires video encoding and decoding operations. In many cases, video encoding and decoding operations use video codecs (COmpressor-DECompressor). Video codecs are compression algorithms designed to encode/compress and decode/decompress video data streams to reduce the size of the streams for faster transmission and smaller storage space. While lossy, current video codecs attempt to maintain video quality while compressing the binary data of a video stream. A video stream comprises a sequence of video frames. 
     An encoder can sample video frames at different rates. Generally, a higher frame sampling rate translates to a higher quality video stream. However, high frame sampling rates make real time encoding of video streams impracticable or difficult. Processors often are unable to encode and transmit all the frames in real time (e.g., such as during video conferencing) because encoding operations are often computationally rigorous. Furthermore, processors often perform other applications while performing the encoding operation, which limits the processor&#39;s computing resources that can be allocated to the encoding operation. 
     Therefore, there is a need in the art for optimizing and changing the frame sampling rates during an encoding operation (e.g., during a video conference). Ideally, such an optimization method should ensure that video streams are encoded and transmitted in real time. 
     SUMMARY OF THE INVENTION 
     Some embodiments provide a method for adjusting a video sampling rate during a video encoding operation. The method receives a metric that quantifies the usage of a computer that performs the video encoding operation. The method computes an adjustment factor based on the metric. The method then defines the video sampling rate based on the adjustment factor. 
     In some embodiments the metric is a system idle time. Also, some embodiments compute the adjustment factor by performing a non-linear operation based on the metric that quantifies the usage of the computer. For instance, in some embodiments, the non-linear operation includes performing an integral operation and/or derivative operation based on the metric. Furthermore, some embodiments compute the adjustment factor as a weighted average of several operations, one or more of which can be a non-linear operation. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       The novel features of the invention are set forth in the appended claims. However, for purpose of explanation, several embodiments of the invention are set forth in the following figures. 
         FIG. 1  illustrates a focus point configuration for a multi-point video conference. 
         FIG. 2  illustrates a system configuration for adjusting frame sampling rate. 
         FIG. 3  illustrates a method for implementing a PID control system. 
         FIG. 4  illustrates a proportional integral derivative (“PID”) control system. 
         FIG. 5  illustrates a method for computing a response metric for adjusting a frame sampling rate. 
         FIG. 6  conceptually illustrates a computer system that is used to implement some embodiments of the invention. 
     
    
    
     DETAILED DESCRIPTION OF THE INVENTION 
     In the following description, numerous details are set forth for purpose of explanation. However, one of ordinary skill in the art will realize that the invention may be practiced without the use of these specific details. In other instances, well-known structures and devices are shown in block diagram form in order not to obscure the description of the invention with unnecessary detail. 
     Some embodiments provide a method for adjusting a video sampling rate during a video encoding operation. The method receives a metric that quantifies the usage of a computer that performs the video encoding operation. The method computes an adjustment factor based on the metric. The method then defines the video sampling rate based on the adjustment factor. 
     In some embodiments the metric is a system idle time. Also, some embodiments compute the adjustment factor by performing a non-linear operation based on the metric that quantifies the usage of the computer. For instance, in some embodiments, the non-linear operation includes performing an integral operation and/or derivative operation based on the metric. Furthermore, some embodiments compute the adjustment factor as a weighted average of several operations, one or more of which can be a non-linear operation. 
       FIGS. 2-5  illustrate more detailed embodiments of the invention. However, before describing these embodiments in Sections II-III, a brief description is provided of the environment in which some embodiments are implemented. 
     I. Multi-participant Video Conference 
     Some embodiments of the invention are used in an environment that requires real time transmission of video, such as a video conferencing environment.  FIG. 1  conceptually illustrates a multi-participant video conferencing environment that uses the invention. As shown in this figure, the multi-participant video conferencing environment includes four computers  105 - 120  of four participants A, B, C, and D of a video conference. 
     In the multi-participant video conference architecture illustrated in  FIG. 1 , one computer  105  serves as the central distributor of video content, and is therefore referred to as the focus point of the video conference. Specifically, each non-focus computer  110 ,  115 , or  120  encodes its video data and sends its encoded video data to the focus computer  105 . The focus computer  105  (1) decodes the received, encoded video content, (2) composites the decoded video content, (3) encodes the composite video content, and (4) distributes the encoded composite video content to the non-focus computers  110 - 120 . These compositing and encoding operations are further described in U.S. patent application Ser. No. 11/118,931 entitled “Video Processing in a Multi-Participant Video Conference”, filed concurrently with the present application. This application is incorporated in the present application by reference. 
     Some embodiments of the invention are implemented by video-conference applications that perform the focus and non-focus operations of the focus and non-focus computers  105 - 120 . These applications utilize the invention to adjust the frame sampling rate at which frames are sent to their respective encoders. In addition, as further described in the above application, the video-conference application of the focus-point computer uses the frame sampling rate to determine the rate at which the application should generate composite frames. 
       FIG. 1  illustrates one type of environment (e.g., multi-participant video conferencing) that uses the invention to adjust the frame sampling rate during an encoding operation. However, the invention is applicable to other encoding environments and other video conferencing environments. 
     II. Adjusting Frame Sampling Rate 
       FIG. 2  conceptually illustrates a video encoding application  205  that implements some embodiments of the invention. In some embodiments, this video encoding application is part of a video conference application that performs focus or non-focus point operations. In other embodiments, however, this video encoding application  205  is used in another encoding environment. 
     As shown  FIG. 2 , the video encoding application  205  includes a control system  215 , a frame rate adjuster  220 , and one or more encoding modules  225 . The control system  215  receives a system input  245  from a system resources application  210 . The system resources application  210  monitors the usage of the resources of the computer, which performs the encoding operation. In some embodiments, the system input  245  indicates an idle time of one or more resources of the computer (e.g., the idle time of the computer&#39;s processor). 
     After receiving the system input  245  from the system resources application  210 , the control system  215  computes an error value. In some embodiments, the error value represents a difference between a minimum system input (e.g., minimum idle time) and the system input  245 . Based on the error value, the control system  215  computes an adjustment output  255 , which it provides to the frame rate adjuster  220 . 
     As shown in  FIG. 2 , the frame rate adjuster  220  receives the adjustment output  255  of the control system  215 . Based on this output, the frame rate adjuster  220  defines the frame sampling rate for the encoding operation. In other words, this output causes the frame rate adjuster to increase, decrease, or keep constant the frame sampling rate. 
     As shown in  FIG. 2 , one or more encoding modules  225  of the video encoding application utilize the frame sampling rate to perform their operations. For instance, in some embodiments, one of these encoding module  225  is the actual encoder that encodes a video frame (e.g., encodes the frame as an intra-frame or an inter-frame). The frame sampling rate that is supplied to this encoder determines the rate at which the encoder produces encoded video frames. When the video-encoding application  205  is used by the video conferencing application of a focus-point computer  105  of  FIG. 1 , the frame sampling rate is also used to determine the rate at which the video conferencing application generates composite frames. 
     During an encoding operation, each of the components of the video encoding application  205  iteratively performs the above-described operations. To further elaborate on these iterative operations,  FIG. 3  illustrates an iterative rate adjustment process  300  that is performed by the components of the video encoding application  205 . As shown in  FIG. 3 , the rate adjustment process  300  start by the control system  215  receiving (at  305 ) the computer&#39;s idle time. In some embodiments, the control system  215  receives the computer&#39;s idle time (e.g., system input  245 ) from the system resources application  210 . The control system  215  computes (at  310 ) an adjustment factor (e.g., adjustment output  255 ) based on the computer&#39;s idle time, which was received at  305 . 
     Once the adjustment factor is computed (at  310 ), the frame rate adjuster  220  defines (at  315 ) a frame sampling rate based on the adjustment factor (e.g., adjustment output  255 ), which was provided by the control system  215 . In some embodiments, defining (at  315 ) the frame sampling rate results in the frame rate adjuster  220  increasing, decreasing, or keeping constant the frame sampling rate. 
     After defining (at  315 ) the frame sampling rate, the frame sampling rate is utilized (at  320 ) by one or more encoding modules  225  of the encoding application  205 . For instance, as mentioned above, the encoder  225  encodes (at  320 ) the frames at the frame sampling rate. Next, at  325 , the video encoding application  205  determines (at  325 ) whether the video encoding operation should be terminated. For instance, when the video encoding application  205  is part of a video conferencing application, the process  300  determines whether the conference is still in session. If so, the process returns to  305  to receive a new system idle time. Otherwise, the rate adjustment process  300  ends. 
     One of ordinary skill will realize that the invention&#39;s frame rate adjustment might be implemented differently in other embodiments. For instance, some embodiments compute the adjustment factor  255  only when the system idle time is less than a particular threshold (e.g., ten percent). When the system idle time is more than the particular threshold, these embodiments use a predefined frame sampling rate. However, these embodiments perform the rate adjustment process  300  to possibly change the frame sampling rate when the system idle time is less than the particular threshold. Furthermore, when the system idle time changes to a level above the particular threshold, some embodiments compute an adjustment factor  255  that specifies the frame rate adjuster  220  to increase the frame sampling rate to a predefined frame sampling rate. 
     III. Proporational Integral Derivative (“PID”) Control 
     As mentioned above, some embodiments of the video encoding application  205  include a control system  215 . Different embodiments implement the control system  215  of  FIG. 2  differently.  FIG. 4  conceptually illustrates one implementation that is used by some embodiments of the invention. In this implementation of the invention, the control system  215  is a PID control system. The control system  215  may be implemented in any encoding environment (e.g., video conference application). 
     As shown in  FIG. 4 , the PID control system  215  includes a system input  245 , a reference input  410 , a comparator  415 , an adder  455 , and three calculation modules, which are a proportional calculator  425 , an integral calculator  430 , and a derivative calculator  435 . 
     As further shown in this figure, the comparator  415  receives the system input  245  and the reference input  410 . In some embodiments, the system input  245  represents the computer&#39;s idle time, while the reference signal  410  represents a minimum idle time for a computer that performs the encoding operation. The comparator  415  computes an error output  420  based on the system input  245  and the reference input  410 . In some embodiments, the error output  420  reflects a difference between the system input  245  and the reference input  410 . The comparator  415  provides the error output  420  to the proportional calculator  425 , the integral calculator  430  and the derivative calculator  435 . 
     After receiving the error output  420 , the proportional calculator  425  computes an output  440  that is linearly proportional to the error output  420 . In some embodiments, the proportional output  440  reflects the instantaneous value of the error output  420 . Similarly, after receiving the error output  420 , the integral calculator  430  computes an integral output  445 . In some embodiments, the integral output  445  is the sum of the error output  420  over a particular period of time. Additionally, after receiving the error output  420 , the derivative calculator  435  computes the derivative output  450 . In some embodiments, the derivative output  450  reflects the rate of change in the error output  420 . 
     All three computed outputs  440 - 450  are provided to the adder  455 . The adder  455  computes the adjustment output  255  based on the three computed outputs  440 - 450 . In some embodiments, the adjustment output  255  is computed by taking a weighted average of the proportional output  440 , integral output  445  and derivative output  450 . Different embodiments assign different weights to each computed output. Some embodiments compute the weighted average of the outputs by using the following equation: 
                   A   =         ω   i     ⁢   κ   ⁢           ⁢   e     +       ω   j     ⁢     ∫   e       +       ω   k     ⁢     ∂     ∂   τ       ⁢   e               (   1   )               
where A represents the adjustment output  255 , e represents the error output  420 , k represents a proportional multiplier, and ω i , ω j  and ω k  represent weight factors between 0 and 1. Some embodiments use 0.3 for ω i , 0.4 for ω j , and 0 for ω k .
 
     In some embodiments, the operations that are described above for  FIG. 4  are iteratively performed by the PID control system  215 . To further elaborate on these above-described operations,  FIG. 5  illustrates a flow through these operations. As shown in  FIG. 5 , the comparator  415  initially receives (at  505 ) a system idle time. The comparator  415  computes (at  510 ) an error value (e.g., error output  420 ) based on the system idle time (e.g., system input  245 ) of the computer that performs an encoding operation. In some embodiments, the error value is based on the difference the system idle and a minimum idle time (e.g., reference input  410 ). 
     After computing (at  510 ) the error value, the proportional calculator  425  computes (at  515 ) a proportional output value based on the error value (e.g., error output  420 ). In some embodiments, the proportional output value (e.g., proportional output  440 ) quantifies a proportional value of the error output  420 . In some embodiments, the proportional calculator  425  computes the proportional output value after receiving the error output  420  from the comparator  415 . 
     The integral calculator computes (at  520 ) an integral output value based on the error value (e.g., error output  420 ). In some embodiments, the integral output value (e.g., integral output  445 ) quantifies the sum of the several error values over a particular period of time. In some embodiments, the integral calculator  430  computes the integral output value after receiving the error output  420  from the comparator  415 . 
     The derivative calculator  435  computes (at  525 ) a derivative output value based on the error value (e.g., error output  420 ). In some embodiments, the derivative output value (e.g., derivative output  450 ) quantifies the rate of change in the error value. In some embodiments, the derivative calculator  435  computes the derivative output value after receiving the error output  420  from the comparator  415 . 
     After computing the derivative output value, the adder  455  assigns (at  530 ) a weight to each of the three output values  440 - 450 , which were provided by their respective calculators  425 - 435 . In some embodiments, the adder  455  (at  530 ) assigns a weight between zero percent and one hundred percent for each of the output values. 
     Once the weights have been assigned (at  530 ), the adder  455  computes (at  535 ) an adjustment factor (e.g., adjustment output  255 ) based on the weighted output values  440 - 450  and ends. Some embodiment use Equation (1), described in Section III, to compute the adjustment factor and ends. In some embodiments, the adder  455  further provides the adjustment factor (e.g., adjustment output  255 ) to the frame rate adjuster  220  of  FIG. 2 . In some embodiments, the adjustment factor is used to define the frame sampling rate during an encoding operation. 
     One skilled in the art will realize that the invention is not limited to a video conference application. Some embodiments of the invention may be advantageously implemented in any video encoding environment. The invention is particularly useful in a real-time video encoding environment. In such an environment, the encoding is performed in real time typically in conjunction with several other processes that are running on the encoding computer. The invention allows the real time encoder to adjust its frame sampling rate with changes in the use of the computational resources of the encoding computer. For instances, as the number of processes that run on the encoding computer increases, the invention allows the encoder to reduce its frame sampling rate in order to be able to complete its encoding operation. 
     While the invention is described using the system idle time, some embodiments of the invention may also use other metrics that quantify the system usage of a processor of the computer (e.g., system processing time). 
     IV. Computer 
       FIG. 6  conceptually illustrates a computer with which some embodiments of the invention are implemented. Computer  600  includes a bus  605 , a processor  610 , a system memory  615 , a read-only memory  620 , a permanent storage device  625 , input devices  630 , and output devices  635 . 
     The bus  605  collectively represents all system, peripheral, and chipset buses that support communication among internal devices of the computer  600 . For instance, the bus  605  communicatively connects the processor  610  with the read-only memory  620 , the system memory  615 , and the permanent storage device  625 . 
     From these various memory units, the processor  610  retrieves instructions to execute and data to process in order to execute the processes of the invention. The read-only-memory (ROM)  620  stores static data and instructions that are needed by the processor  610  and other modules of the computer. The permanent storage device  625 , on the other hand, is a read-and-write memory device. This device is a non-volatile memory unit that stores instruction and data even when the computer  600  is off. Some embodiments of the invention use a mass-storage device (such as a magnetic or optical disk and its corresponding disk drive) as the permanent storage device  625 . Other embodiments use a removable storage device (such as a floppy disk or zip® disk, and its corresponding disk drive) as the permanent storage device. 
     Like the permanent storage device  625 , the system memory  615  is a read-and-write memory device. However, unlike storage device  625 , the system memory is a volatile read-and-write memory, such as a random access memory. The system memory stores some of the instructions and data that the processor needs at runtime. In some embodiments, the invention&#39;s processes are stored in the system memory  615 , the permanent storage device  625 , and/or the read-only memory  620 . 
     The bus  605  also connects to the input and output devices  630  and  635 . The input devices enable the user to communicate information and select commands to the computer. The input devices  630  include alphanumeric keyboards and cursor-controllers. The output devices  635  display images generated by the computer. The output devices include printers and display devices, such as cathode ray tubes (CRT) or liquid crystal displays (LCD). 
     Finally, as shown in  FIG. 6 , bus  605  also couples computer  600  to a network  665  through a network adapter (not shown). In this manner, the computer can be a part of a network of computers (such as a local area network (“LAN”), a wide area network (“WAN”), or an Intranet) or a network of networks (such as the Internet). Any or all of the components of computer  600  may be used in conjunction with the invention. However, one of ordinary skill in the art will appreciate that any other system configuration may also be used in conjunction with the invention. 
     While the invention has been described with reference to numerous specific details, one of ordinary skill in the art will recognize that the invention can be embodied in other specific forms without departing from the spirit of the invention. For instance, the frame rate adjuster and the PID control system are described for a multi-participant video conferencing. However, both the frame rate adjuster and the PID control system can be implemented in a participant-to-participant video conferencing. Thus, one of ordinary skill in the art would understand that the invention is not to be limited by the foregoing illustrative details, but rather is to be defined by the appended claims.

Metadata:
Filing Date: 20050428
Publication Date: 20100126
Grant Date: 20100126
Priority Date: 20050428
Inventors: JEONG HYEONKUK
TUNG BERKAT SHING
NORMILE JIM
Assignee: APPLE INC
CPC Classifications: [{"code": "H04N21/6379", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04N7/147", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/658", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/658", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/6377", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N7/147", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4788", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/4788", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N7/15", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/6377", "inventive": true, "first": false, "tree": "[]"}, {"code": "H04N21/6379", "inventive": true, "first": true, "tree": "[]"}, {"code": "H04N7/15", "inventive": true, "first": false, "tree": "[]"}]
Family ID: 37234041