US20030053454A1 - Systems and methods for generating error correction information for a media stream - Google Patents

Systems and methods for generating error correction information for a media stream Download PDF

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US20030053454A1
US20030053454A1 US10/092,392 US9239202A US2003053454A1 US 20030053454 A1 US20030053454 A1 US 20030053454A1 US 9239202 A US9239202 A US 9239202A US 2003053454 A1 US2003053454 A1 US 2003053454A1
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frame
error correction
data
packet
frames
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Ioannis Katsavounidis
Chung Kuo
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Intervideo Inc
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Intervideo Inc
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Publication of US20030053454A1 publication Critical patent/US20030053454A1/en
Assigned to JPMORGAN CHASE BANK, N.A. reassignment JPMORGAN CHASE BANK, N.A. REAFFIRMATION AND JOINDER AGREEMENT Assignors: CAYMAN LTD. HOLDCO, COREL CORPORATION, COREL INC., COREL US HOLDINGS, LLC, INTERVIDEO DIGITAL TECHNOLOGY CORP., INTERVIDEO, INC., WINZIP COMPUTING LLC, WINZIP COMPUTING LP, WINZIP COMPUTING, S.L.U., WINZIP HOLDINGS SPAIN, S.L.U., WINZIP INTERNATIONAL LLC
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    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M13/00—Coding, decoding or code conversion, for error detection or error correction; Coding theory basic assumptions; Coding bounds; Error probability evaluation methods; Channel models; Simulation or testing of codes
    • H—ELECTRICITY
    • H03—ELECTRONIC CIRCUITRY
    • H03M—CODING; DECODING; CODE CONVERSION IN GENERAL
    • H03M7/00—Conversion of a code where information is represented by a given sequence or number of digits to a code where the same, similar or subset of information is represented by a different sequence or number of digits
    • H03M7/30—Compression; Expansion; Suppression of unnecessary data, e.g. redundancy reduction
    • H03M7/40—Conversion to or from variable length codes, e.g. Shannon-Fano code, Huffman code, Morse code
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51—Motion estimation or motion compensation
    • H04N19/573—Motion compensation with multiple frame prediction using two or more reference frames in a given prediction direction
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/65—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using error resilience
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/234—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs
    • H04N21/2343—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements
    • H04N21/234318—Processing of video elementary streams, e.g. splicing of video streams, manipulating MPEG-4 scene graphs involving reformatting operations of video signals for distribution or compliance with end-user requests or end-user device requirements by decomposing into objects, e.g. MPEG-4 objects
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/236—Assembling of a multiplex stream, e.g. transport stream, by combining a video stream with other content or additional data, e.g. inserting a URL [Uniform Resource Locator] into a video stream, multiplexing software data into a video stream; Remultiplexing of multiplex streams; Insertion of stuffing bits into the multiplex stream, e.g. to obtain a constant bit-rate; Assembling of a packetised elementary stream
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/434—Disassembling of a multiplex stream, e.g. demultiplexing audio and video streams, extraction of additional data from a video stream; Remultiplexing of multiplex streams; Extraction or processing of SI; Disassembling of packetised elementary stream
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/44—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs
    • H04N21/44012—Processing of video elementary streams, e.g. splicing a video clip retrieved from local storage with an incoming video stream, rendering scenes according to MPEG-4 scene graphs involving rendering scenes according to scene graphs, e.g. MPEG-4 scene graphs
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N5/00—Details of television systems
    • H04N5/14—Picture signal circuitry for video frequency region
    • H04N5/147—Scene change detection
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/20—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using video object coding
    • H04N19/29—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using video object coding involving scalability at the object level, e.g. video object layer [VOL]
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W84/00—Network topologies
    • H04W84/02—Hierarchically pre-organised networks, e.g. paging networks, cellular networks, WLAN [Wireless Local Area Network] or WLL [Wireless Local Loop]
    • H04W84/10—Small scale networks; Flat hierarchical networks
    • H04W84/14—WLL [Wireless Local Loop]; RLL [Radio Local Loop]

Definitions

  • Appendix A which forms a part of this disclosure, is a list of commonly owned copending U.S. patent applications. Each of the applications listed in Appendix A is hereby incorporated by reference herein in its entirety.
  • the present invention is related to video and image coding and in particular to systems and methods for coding video image information in a compressed and error resilient manner.
  • MPEG is an ISO/IEC standard developed by MPEG (Moving Picture Experts Group). There are several versions of the MPEG standard, such as MPEG-1, MPEG-2, MPEG-4, and MPEG-7, and they are intended to standardize certain aspects of image and audio compression. As with other forms of video compression, such as H.261, H.262, H.263, H.263+, H.263++, H.26L, MPEG compression attempts to eliminate redundant or irrelevant data. For example, an MPEG encoder uses information from selected frames to reduce the overall video data that needs to be transmitted for certain other frames.
  • a video frame can be encoded in one of three ways, as an intraframe, as a predicted frame, and as a bi-directional frame.
  • a video frame can also be skipped in order to reduce the resulting file size or bit-rate.
  • An intraframe typically contains the complete image data for that frame and so does not rely on image data from other frames.
  • Intraframe encoding provides the least compression.
  • a predicted frame generally contains just enough information to allow a decoder to display the frame based on a recent preceding intraframe or predicted frame. This means that the predicted frame contains the data that relates to how the image has changed from the previous frame and residual error correction data.
  • a bi-directional frame is generated from information from the surrounding intraframe(s) and/or predicted frames, including residual error correction data. Using data from the surrounding frames, the decoder uses interpolation to calculate the position and color of each pixel.
  • MPEG-4 The MPEG-4 standard was developed for use with both low and high bit rate applications. For example, MPEG-4 has been enhanced for use in interactive video games, videoconferencing, videophones, interactive storage media, multimedia mailing, wireless multimedia and broadcasting applications. MPEG-4 provides for object scalability, improved error robustness and enhanced compression.
  • MPEG-4 has enhanced error resiliency as compared to previous versions of MPEG so that video data can be more successfully transmitted over such error prone networks.
  • one error resiliency technique provided for by the MPEG-4 standard is the use of resync markers in the video bit-stream.
  • MPEG-4 has adopted fixed interval synchronization and specifies that video object plane (VOP) start codes and resynchronization markers (i.e., the start of a video packet) appear only at legal fixed interval locations in the bitstream. This helps to avoid the problems associated with start codes emulations.
  • VOP video object plane
  • resynchronization markers i.e., the start of a video packet
  • Another error resiliency technique provided for by the MPEG-4 standard is the use of a reversible variable-length code. This code can be decoded even when read backwards, enabling a decoder to use uncorrupted information from a newly found resync marker back to the point in the data where the error occurred.
  • Still another error resiliency technique adopted by MPEG-4 is data partitioning, used to separate motion information from texture information using a second resynchronization marker inserted between motion and texture information.
  • the decoder can utilize the motion information to conceal the error by using the motion information to compensate the previous decoded frame or VOP.
  • conventional encoders drop frames to reduce the frame rate according to a simple skipping algorithm. For example, a conventional encoder will drop every 4 of 5 frames in a video clip to convert the video clip from a 30 frames per second rate to a 6 frames per second rate.
  • this simple form of skipping often has a significant adverse impact on the visual quality when decoded.
  • the present invention is related to video encoding and in particular to systems and methods for encoding video information for transmission in a compressed manner and/or an error resilient manner.
  • Embodiments of the present invention advantageously enable the transmission of video information even in low-bit rate, high noise environments.
  • embodiments of the present invention enable video transmission to be successfully performed over cellular networks and the like.
  • FEC forward error correction
  • FEC coding is efficiently and selectively applied in real-time to important data, such as motion vectors, DC coefficients and header information, rather then generating FEC bits for unimportant or less important data.
  • This selected important data may be located in a packet between a packet resync field and a motion marker.
  • the selected packet bits targeted for FEC coding are concatenated together and the FEC code bits are generated for the concatenated bits.
  • the resulting FEC bits are placed in an additional packet after the regular frame or VOP packets to ensure MPEG compatibility.
  • One embodiment of the present invention is a method of providing forward error correction (FEC) on a plurality of frame packets, the method comprising: concatenating selected portions of packet data corresponding to a plurality of frame packets for a first frame; generating forward error correction bits for the concatenated selected portions of packet data; and transmitting the forward error correction bits in a separate packet identified with a user data identifier code or the like, including other unique identifier codes to be assigned in the future by MPEG-standards committee and the like.
  • FEC forward error correction
  • Another embodiment of the present invention is an error correction generation circuit, comprising: a first instruction stored in processor readable memory configured to generate forward error correction data for selected portions of packet data that are to be transmitted in a corresponding plurality of frame packets; a second instruction stored in processor readable memory configured to store the forward error correction data in a first packet separate from the plurality of frame packets; and a third instruction stored in processor readable memory configured to identify the first packet with a first data identifier code.
  • Still another embodiment of the present invention is an encoder circuit, comprising: a means for generating forward error correction data for selected portions of packet data from a plurality of frame packets; a means for storing the forward error correction data in a first packet separate from the plurality of frame packets; and a means for identifying the first packet with a first data identifier code.
  • embodiments of the present invention provide for using a Header Extension Code (HEC) in a sequence of video packets or in every video packet, and not just on the first video packet following the VOP header as with conventional encoders. This better ensures that even if a packet is lost or corrupted, subsequent packets can still be decoded and used. Further, even many conventional decoders will be able to handle the inclusion of the enhanced use of HECs.
  • HEC Header Extension Code
  • a Video-Object-Layer (VOL) header has a flag set indicating that a fixed Video Object Plane (VOP) increment is to be used, followed by the fixed time increment value. This will facilitate the decoder's detection of missing frames, that is, frames either skipped by the encoder in order to achieve higher compression or lost during transmission.
  • VOP Video Object Plane
  • FIG. 1A illustrates an example networked system for implementing a video distribution system.
  • FIGS. 1 B-C illustrate an example encoder architecture in accordance with an embodiment of the present invention.
  • FIGS. 2 A-B illustrate an example refresh map and an example scan order that can be used with an embodiment of the present invention.
  • FIG. 3 illustrates an example analysis of a video sequence used to locate a scene change.
  • FIGS. 4 A- 4 B illustrate an example of adaptive frame skipping in accordance with an embodiment of the present invention.
  • FIG. 5 illustrates an example use of second order motion compensation.
  • FIG. 6 illustrates an example packetized bitstream.
  • FIG. 7 illustrates an example use of consecutive I-frames in accordance with an embodiment of the present invention
  • FIGS. 8 A-H illustrate example processes for adaptive intra refresh.
  • FIG. 9 illustrates an example rate control process in accordance with an embodiment of the present invention.
  • FIG. 10 illustrates an example scene level recursive bit allocation process.
  • FIG. 11 illustrates an example graph of Forward Error Correction overhead vs. average BER correction capability.
  • the present invention is related to video encoding and in particular to systems and methods for encoding video information for transmission in a compressed and/or an error resilient manner.
  • embodiments of the present invention advantageously enable the transmission of video information even in low-bit rate, noise, error-prone environments.
  • Embodiments of the present invention can be used with a variety of video compression standards, such as, by way of example, the MPEG-4 standard, as well as MPEG-1, MPEG-2, H.261, H.262, H.263, H.263+, H.263++, and H.26L, and video standards yet to be developed.
  • MPEG-4 Video Verification Model is defined in “MPEG-4 Video Verification Model 17.0”, ISO/IEC JTC1/SC29/WG11 N3515, Beijing, China, July 2000, which are incorporated herein by reference in their entirety.
  • FIG. 1A illustrates a networked system for implementing a video distribution system in accordance with one embodiment of the invention.
  • An encoding computer 102 receives a video signal, which is to be encoded to a relatively compact and robust format.
  • the encoding computer 102 can correspond to a variety of machine types, including general purpose computers that execute software and to specialized hardware.
  • the encoding computer 102 can receive a video sequence from a wide variety of sources, such as via a satellite receiver 104 , a video camera 106 , and a video conferencing terminal 108 .
  • the video camera 106 can correspond to a variety of camera types, such as video camera recorders, Web cams, cameras built into wireless devices, and the like.
  • Video sequences can also be stored in a data store 110 .
  • the data store 110 can be internal to or external to the encoding computer 102 .
  • the data store 110 can include devices such as tapes, hard disks, optical disks, and the like. It will be understood by one of ordinary skill in the art that a data store, such as the data store 110 illustrated in FIG. 1A, can store unencoded video, encoded video, or both.
  • the encoding computer 102 retrieves unencoded video from a data store, such as the data store 110 , encodes the unencoded video, and stores the encoded video to a data store, which can be the same data store or another data store.
  • a source for the video can include a source that was originally taken in a film format.
  • the encoding computer 102 distributes the encoded video to a receiving device, which decodes the encoded video.
  • the receiving device can correspond to a wide variety of devices that can display video.
  • the receiving devices shown in the illustrated networked system include a cell phone 112 , a personal digital assistant (PDA) 114 , a laptop computer 116 , and a desktop computer 118 .
  • the receiving devices can communicate with the encoding computer 102 through a communication network 120 , which can correspond to a variety of communication networks including a wireless communication network. It will be understood by one of ordinary skill in the art that a receiving device, such as the cell phone 112 , can also be used to transmit a video signal to the encoding computer 102 .
  • the encoding computer 102 can correspond to a wide variety of computers.
  • the encoding computer 102 can be a microprocessor or processor (hereinafter referred to as processor) controlled device, including, but not limited to a terminal device, such as a personal computer, a workstation, a server, a client, a mini computer, a main-frame computer, a laptop computer, a network of individual computers, a mobile computer, a palm top computer, a hand held computer, a set top box for a TV, an interactive television, an interactive kiosk, a personal digital assistant, an interactive wireless communications device, a mobile browser, a Web enabled cell phone, a personal digital assistant (PDA) or a combination thereof.
  • PDA personal digital assistant
  • an encoder computer may also be included in the camera 106 , the cell phone 112 , the PDA 114 , the laptop computer 116 , and/or the desktop computer 118 .
  • the computer 102 may further possess input devices such as a keyboard, a mouse, a trackball, a touch pad, or a touch screen and output devices such as a computer screen, printer, speaker, or other input devices now in existence or later developed.
  • the encoding computer 102 can correspond to a uniprocessor or multiprocessor machine.
  • the encoder and decoder computers can include an addressable storage medium or computer accessible medium, such as random access memory (RAM), an electronically erasable programmable read-only memory (EEPROM), masked read-only memory, one-time programmable memory, hard disks, floppy disks, laser disk players, digital video devices, Compact Disc ROMs, DVD-ROMs, other optical media, video tapes, audio tapes, magnetic recording tracks, electronic networks, and other techniques to transmit or store electronic content such as, by way of example, programs and data.
  • RAM random access memory
  • EEPROM electronically erasable programmable read-only memory
  • masked read-only memory such as hard disks, floppy disks, laser disk players, digital video devices, Compact Disc ROMs, DVD-ROMs, other optical media, video tapes, audio tapes, magnetic recording tracks, electronic networks, and other techniques to transmit or store electronic content such as, by way of example
  • the encoding and decoding computers are equipped with a network communication device such as a network interface card, a modem, Infra-Red (IR) port, a wireless network interface, or other network connection device suitable for connecting to a network.
  • the computers execute an appropriate operating system, such as Linux, Unix, Microsoft® Windows® 3.1, Microsoft® Windows® 95, Microsoft® Windows® 98, Microsoft® Windows® NT, Microsoft® Windows® 2000, Microsoft® Windows® Me, Microsoft® Windows® XP, Apple® MacOS®, IBM® OS/2®, Microsoft® Windows® CE, or Palm OS®.
  • the appropriate operating system may advantageously include a communications protocol implementation, which handles all incoming and outgoing message traffic passed over the network, which can include a wireless network.
  • the operating system may differ depending on the type of computer, the operating system may continue to provide the appropriate communications protocols necessary to establish communication links with the network.
  • FIG. 1B illustrates an example encoding system 100 B in accordance with an embodiment of the present invention.
  • the term encoding system includes one or more encoders.
  • the encoding system 100 B comprises, by way of example, one or more of processors, program logic, or other substrate configurations representing data and instructions, which operate as described herein.
  • the encoding system 100 B can comprise controller circuitry, integrated circuits, gate arrays, application specific circuits, processor circuitry, processors, general purpose single-chip or multi-chip microprocessors, digital signal processors, embedded microprocessors, microcontrollers and the like, executing software code, including instructions and data stored in computer readable memory.
  • the encoding system 1 OOB can be housed in one or more leaded, leadless, or ball grid array semiconductor packages, on one or more circuit boards, and/or using one or more hybrid packages. All or portions of the encoding system 100 B may be included in a fixed terminal, such as a desktop computer, or in a portable terminal, such as a cellular phone, portable computer, personal digital assistant, video camera, or the like.
  • the encoding system 100 B can, in an example embodiment, correspond to the encoding computer 102 .
  • an encoding system in accordance with the present invention can be used to conduct video conferencing, to aid in the storage and transmission of movies or other images, and the like.
  • the encoding system 100 B encodes and compresses video information for transmission to a decoder.
  • the encoding system 100 B includes a preprocessing module or circuit 102 B, a bit allocation module or circuit 104 B, and an encoder module or circuit 106 B.
  • the preprocessing module or circuit 102 B including a video sequence analyzer, is used to detect when a scene change has taken place and to determine how a given frame, VOP or picture, is to be encoded.
  • a video object layer contains a sequence of 2D representations of arbitrary shape at different time intervals that is referred to in MPEG-4 as a video object plane (VOP).
  • VOP video object plane
  • Each of the VOP regions can be non-rectangular and may correspond to particular image or video content of interest, such as physical objects within a scene.
  • Video object planes (VOPs) are divided into macroblocks of size 16 ⁇ 16.
  • a macroblock is encoded in six blocks, four for luminosity and two for chromaticity, of size 8 ⁇ 8.
  • the bounding box of the VOP is calculated and extended to multiples of the macroblock size.
  • VOP For most current applications, and in particular for wireless applications using the so-called “simple profile,” there is generally only 1 VOP per frame, which is a rectangular VOP.
  • frame can also include a VOP, such as an MPEG-4 VOP, or a picture.
  • VOP can also refer to a frame.
  • the VOPs can be structured in groups of video object planes (GOV).
  • GOP video object planes
  • frames or pictures can be arranged in groups of pictures (GOPs).
  • scene as used herein, may also refer to a GOV or a GOP and visa versa.
  • a frame or video object may be encoded as an intracoded frame (an “I-frame” or “I-VOP”), as a predicted frame (a “P-frame” or “P-VOP”), or as a bi-directional frame (a “B-frame” or “B-VOP”).
  • MPEG-1 also provides for a D-frame.
  • a D-frame is a frame that has no motion vectors, so that a zero vector is assumed, and has texture DCT data.
  • DCT Discrete Cosine Transformation
  • the MPEG-4 simple profile does not support B-frames or B-VOPs. However, the simple profile does support frame skipping. A video frame can be skipped in order to reduce the resulting file size or bit-rate. Because the MPEG-4 simple profile does not support B-frames or D-frames, the following discussions will not focus on such frames. Nonetheless, embodiments of the present invention can be used with B-frames and D-frames in accordance with other profiles and other standards.
  • the term frame can correspond to either an interlaced frame or to a non-interlaced frame, i.e., a progressive frame.
  • a non-interlaced frame i.e., a progressive frame.
  • each frame is made of two separate fields, which are interlaced together to create the frame.
  • Such interlacing is not performed in a non-interlaced or progressive frame. While illustrated in the context of non-interlaced or progressive video, one or ordinary skill in the field will appreciate that the principles and advantages described herein are applicable to both interlaced video and non-interlaced video.
  • An intracoded I-frame typically only includes information from the image itself and thus an I-frame can be decoded independently of other frames.
  • P and B frames are also referred to as intercoded frames because they are encoded based on data from other frames.
  • the preprocessing module 102 generates a file, referred to as an input frame-type file, containing the frame-type designations corresponding to the frames.
  • the frame-type information is passed to other portions of the encoding system 100 B using variables and the like. While the preprocessing module 102 B is illustrated in FIG. 1B as being included in the encoding system 100 B, the preprocessing module 102 B can be physically separate from the other portions of the encoding system 100 B. In such an embodiment, the preprocessing module 102 B can produce a text file that includes frame-type designation that is then input by the remainder of the encoding system 100 B.
  • YUV-4:2:0 files are header-less files with concatenated frames, where, for each frame, the (luminosity) Y-pixel values are provided first, followed by the (Chromaticity-blue) Cb-values, and then the (Chromaticity-red) Cr-values.
  • the term “4:2:0” indicates that chromaticity values are subsampled by a factor 4 with respect to luminosity.
  • the preprocessing module 102 B performs frame evaluation and encoding designation. As will be described below, each frame is designated by the preprocessing module 102 B as an I-frame, a P-frame, or as a skipped frame. In other embodiments, the preprocessing module 102 B may also designate frames as B-frames or D-frames. B-frame encoding may be performed if there is sufficient computational power, available bandwidth (B-frames take much more bandwidth than skipped frames), and if allowed by the corresponding standard. For example, the MPEG-4 simple-profile syntax, used in wireless networks, does not allow for B-frames.
  • the example file format generated by the preprocessing module 102 B includes a line per input frame, with a frame-type designation character on each line: 0, 1 or 2.
  • a “ 0 ” indicates an I-frame
  • a “1” indicates a P-frame
  • a “2” indicates a skipped frame.
  • designations can be provided for a bidirectional frame and a D-frame.
  • scene change frames are generally intracoded.
  • the preprocessing module's scene change analysis performs a color-weighted Root Mean Squared (RMS) calculation and a Mean Absolute Differences (MAD) calculation between the i th frame F i and the k th frame F k .
  • RMS color-weighted Root Mean Squared
  • MAD Mean Absolute Differences
  • F(x, y) denotes the (x, y) th pixel in frame F
  • w and h are the width and height of the frame, respectively.
  • Y(x, y) indicates the luminance value
  • U(x, y) and V(x, y) are the two chromaticity components.
  • the coefficients, and are weighting coefficients for the luminosity, chromaticity-blue and chromaticity-red components correspondingly.
  • the weighting coefficients can be fixed.
  • the MAD does not need to include the two chromaticity components.
  • MAD(F i ,F k ) and/or RMS(F i ,F k ) are large or greater than a selected criteria, this indicates that the content of F i is substantially different from F k .
  • F i is designated a scene change frame.
  • An example threshold value for designating a scene change frame is approximately 25.
  • the second temporal derivative of the RMS is based on the RMS value for the previous frame F i ⁇ 1 , relative to the current frame F i , the RMS value of the current frame F i relative to the next frame F i+1 , and the RMS value of the next frame F i+1 to the subsequent frame F i+2 .
  • the second temporal derivative of the RMS value will be negative with relatively high amplitude when F i is a scene-change frame, as illustrated in FIG. 3.
  • F i is designated a scene change frame.
  • FIG. 3 there is a correlation between the RMS values, indicated by the diamonds, and the second derivative of RMS, indicated by the triangles.
  • both the RMS values the values of the second derivative of RMS generally provide a correct indication of a scene change.
  • An example second derivative of RMS threshold value for determining a scene change is ⁇ 6.5.
  • the second derivative of the RMS is a good peak detector, it is somewhat sensitive to noise.
  • a frame is designated a scene change frame.
  • scene changes frames will be intracoded as I-frames or I-VOPs.
  • a frame is designated as a scene change, and thus will be coded in INTRA mode, when its MAD is greater than 20 and the second derivative of RMS is negative and has an absolute value of greater than 4.
  • a frame is designated as a scene change, and thus will be coded in INTRA mode, when its RMS is greater than 40 and/or when the second derivative of RMS is negative and has an absolute value of greater than 8.
  • other thresholds can be used.
  • a second derivative of MAD can be used, as similarly described above with respect to the second derivative of RMS, as a further indication of whether a frame corresponds to a scene change or not.
  • An additional criterion can be used to determine when a scene change has occurred. For example, in one embodiment, a determination is made as to whether the MAD value is a local maximum, that is, has increased from a previous frame to the frame at issue, and then decreased from the frame at issue to the next frame. If so, this indicates that it is likely the frame at issue is a scene change frame and should be intracoded. In addition, a similar determination may be made for the RMS value. For example, a determination is made as to whether the RMS value is a local maximum, that is, has increased from a previous frame to the frame at issue, and then decreased from the frame at issue to the next frame. If so, this too indicates that it is likely the frame at issue is a scene change frame and should be intracoded.
  • a voting process can be used, wherein if at least two of the RMS, the second derivative of the RMS, and the MAD, meet corresponding criteria, then a frame is designated as a scene change that is to be intracoded.
  • the RMS and second derivative of the RMS meet the corresponding criteria, and if the MAD is a local maximum, then the frame is designated as a scene change frame.
  • the frame is designated as a scene change frame.
  • the number of frames that needs to be encoded per second is preferably reduced as much as acceptable.
  • One technique used to reduce the number of frames encoded per second is to skip-frames in the encoding process.
  • Two example frame-skipping techniques are fixed frame skipping and adaptive frame skipping.
  • Conventional encoders drop frames to reduce the frame rate according to a simple skipping algorithm. For example, a conventional encoder will drop every 4 of 5 frames in a video clip to convert the video clip from a 30 frames per second rate to a 6 frames per second rate.
  • the preprocessing module 102 B calculates, based on the bit-rate/frame-rate formula defined in Equation 7 below, the target encoding frame-rate and then switches between adaptive and fixed skipping in order to meet a target encoding frame rate.
  • the input video frame sequence is subsampled along the time axis, by keeping 1 in every k frames, where k is the subsampling factor. For example, if:
  • the input video frame sequence is subsampled along the time axis in order to achieve a desired or predetermined average frame rate.
  • the rate of frame skipping can be irregular and can vary along the sequence length.
  • low activity frames are identified and skipped, and scene-change frames are kept and intracoded.
  • Non-scene changes having some activity frame are interceded. Because the skipped frames are intelligently selected based on changes on visual activity, the visual result when reproduced by the decoder will be better than with fixed frame skipping, assuming no or relatively few errors occur.
  • the preprocessing module 102 B codes skipped frames using a “not_coded” bit-flag or indicator set in the video object plane (VOP) header in an MPEG bit stream.
  • VOP video object plane
  • An MPEG-4 video packet starts with the VOP header or the video packet header, followed by motion_shape_texture( ), and ends with next_resync_marker( ) or next_start_code).
  • a VOP specifies particular image sequence content and is coded into a separate video object layer by coding contour, motion and texture information.
  • a skipped frame is skipped altogether, without inserting VOP-header information in the bitstream.
  • a skipped frame may be recreated by a decoder using interpolation or by repeating a previous frame.
  • the decoder may perform interpolation by pixel averaging between a preceding frame and a subsequent decoded frame, weighted by their time difference.
  • VOL Video-Object-Layer
  • vop_time_increment_resolution determines the number of time units for each encoding cycle.
  • the vop_time_increment value in the Video-Object-Plane (VOP) header carries the time stamp for each frame.
  • the decoder may incorrectly determine the frame rate of the entire sequence.
  • the “fixed_vop_rate” flag is set by the encoder module 106 B in the VOL header, which then provides (via the value of fixed_vop_time_increment) the default frame rate. This technique better ensures the successful decoding or determination of the frame rate upon the successful decoding of the VOL header.
  • the fixed_vop_time_increment value can later be stored in a global variable of the decoder, which will use the value to determine whether certain frames need to be interpolated or not.
  • the frames to be interpolated can either be frames skipped by the encoder, or lost during transmission.
  • the error-resilience performance of the MPEG-4 decoder will be enhanced because it will decode the correct number of frames, thereby avoiding loss-of-sync problems with the audio stream.
  • error resiliency can be enhanced by utilizing fixed frame skipping rather then adaptive frame skipping.
  • Fixed frame skipping enables the decoder to better determine when a frame has been dropped or skipped.
  • Another approach to enhancing error resiliency is to use adaptive frame skipping, but provide a VOP-header with the not_coded flag set for a skipped frame.
  • One drawback of this approach is that it results in a slight increase in bit rate due to the more frequent VOP-headers.
  • FIG. 4A illustrates one example process 400 of adaptive frame skipping.
  • the process is iterative in that a frame is selectively dropped from the sequence of frames by computing a mean of absolute differences between the frames adjacent to the frame of interest, and by weighting the computation with a temporal parameter, wherein the frame having the least impact on the scene is dropped.
  • This procedure is repeatedly iterated until a target frame rate, which is related to the desired bit rate and frame size, is achieved.
  • the process 400 proceeds to state 404 .
  • the desired frame rate is set or specified.
  • the desired frame rate may be user specified or may be dynamically determined.
  • the cost function, or adverse impact, that would result from dropping a particular frame is calculated for each frame between the first and last frame in a scene.
  • the cost function can be based at least in part on the mean absolute differences (MAD) between frames closely or most closely bracketing or bounding the particular frame of interest, or on the sum of the mean absolute differences (SMAD).
  • the cost function can be based on sums of RMS (SRMS) for frames bracketing the particular frame of interest.
  • the frame associated with the lowest cost that is, having the least adverse impact on visual quality, is skipped or dropped.
  • a determination is made as to whether the remaining frames will allow the target frame rate to be met. If the target frame rate can now be met, the adaptive frame rate skipping process 400 proceeds to the end state 414 . Otherwise, the process 400 proceeds to state 412 , and a remaining frame having the lowest cost will be dropped. The cost of all the frames remaining between the first and last frames may be recalculated at state 412 based on the frames that are currently remaining, and the frame with the lowest cost will be dropped.
  • the process 400 repeats states 410 and 412 until the target frame rate has been met, or the number of already consecutively skipped frames is at a specified maximum. While the process 400 is described with respect to selecting which frames to skip, the process 400 can be similarly used to decide what frames should be bi-directionally encoded.
  • F 4 is now considered as a candidate for the next skipped frame.
  • a cost function is calculated assuming that F 4 has been skipped.
  • F 2 and F 7 will be the left and right frames bounding the skipped segment of F 3 -F 6 .
  • [0081] is used to normalize the original frame rate r orig with respect to the NTSC frame rate of 29.97 frames/second and where TD denotes the time difference measure.
  • TD denotes the time difference measure.
  • other or different normalizations may be used as well.
  • A is a weighting coefficient.
  • the weighting coefficient value 5.0, determined experimentally, provides a suitable result.
  • the weighting coefficient value may be dynamically determined.
  • the complexity for the MAD calculation can be reduced, though the accuracy will be reduced, if only even (or only odd) coordinate pixels are used in the calculation.
  • Another example process to adaptively determine which frame to skip estimates the total induced distortion, both spatial and temporal, for each candidate frame for skipping, and then skips the frame whose absence would result in the least distortion.
  • the process utilizes sums of MAD (SMAD) or sums of RMS (SRMS).
  • SAD sums of MAD
  • SRMS sums of RMS
  • all the MADs do not have to be recalculated. Instead, the already calculated appropriate MADs are summed differently, depending on which frame is being considered for skipping.
  • SMAD est (F i ,F k ) is the estimated spatial distortion when skipping frames (i+1), (k ⁇ 1).
  • Equation 6b the cost function subtracts out the contribution from previously skipped frames.
  • ⁇ (n) is a coefficient that depends on the number (n) of consecutive skipped frames and takes into account how much, on the average or based on a statistical sampling, interpolated frames at the decoder are different from the original frames.
  • ⁇ (n) increases as the number of skipped frames increases.
  • a user specifies the desired encoding frame rate.
  • the desired frame rate can be based on the video sequence statistics, such as temporal and spatial complexity, frame size, frame rate and target bit rate or compression ratio.
  • the encoding frame rate should preferably be in the range of:
  • the weighting coefficient is optionally set equal to the average RMS or MAD of the designated entire sequence.
  • the video sequence analyzer is provided with the video sequence, the frame width, frame height, the source frame rate, the target bit rate, and the setting of the error resilience flag in the following format:
  • the error resilience flag is set by the user to switch between adaptive frame skipping, which has less error resiliency but a better visual result when there are no or few errors, and fixed frame skipping, which provides better error resiliency with a lesser visual result.
  • an RMS circuit 102 C is used to calculate RMS values as described above
  • a Second Derivative of RMS circuit 104 C is used to calculate the second derivative of RMS as described above
  • a MAD circuit 108 C is used to calculate the MAD values as described above
  • a SUM OF MAD circuit 110 C. is used to calculate the SUM of MAD values as described above
  • a Second Derivative of MAD circuit 114 C is used to calculated the Second Derivative of MAD as described above.
  • An Evaluator circuit 112 C coupled to the outputs of the RMS circuit 102 C, the Second Derivative of RMS circuit 104 C, the MAD circuit 108 C, and the SUM OF MAD circuit 110 C, and the Second Derivative of MAD circuit 114 C, is used to determine when a scene change has occurred and what frames to skip, based on one or more of the outputs, as discussed above.
  • different embodiments need not include all or any portion of the circuits illustrated in FIG. 1C.
  • the bit allocation module or circuit 104 B provides for bit allocation on a scene, frame, and/or macroblock level.
  • the bit allocation module 104 B reads the file or otherwise receives the information generated by the preprocessing module 102 B, including the frame-type designations, and calculates a bit budget for each scene, GOV or GOP based on the coded frames.
  • the bit allocation module determines an appropriate distribution of a fixed bit budget.
  • a first intracoded frame defines a beginning of a scene.
  • a weight is assigned to the scene based on the number of intracoded frames and the number of intercoded frames, where intracoded frames are weighted more heavily then intercoded frames to account for the greater number of bits needed to encode an intraframe.
  • the bit allocation module distributes the fixed bit budget within a scene by comparing the current bit usage and target bit usage, and based on the comparison, adjusts a quantization parameter or step size for the current frame.
  • bit-allocation module 104 B first parses the input frame-type file from the preprocessing module 102 B. The number or quantity of GOVs is then calculated. Based on the calculated bit budget, the encoder module 106 B then encodes each GOV using the novel rate control process in accordance with an encoder parameter file, discussed below.
  • N ci number of coded P-VOPs (predicted, interceded VOPs) in scene i or GOVi.
  • B bit budget for a clip including one or more scenes
  • N c number of coded frames for the clip
  • T c equivalent total number of VOPs in clip
  • An example method of determining the bit-budget for a scene or GOV is as follows.
  • B i bits are allocated for each GOV (i).
  • the method is not limited to using the 1:10 ratio.
  • B i and T c are then determined as follows:
  • T c N c +(Ratio_Of_I_to_P)/T c Equation 9
  • bit allocation for a given scene is based on the total number of frames in the scene, wherein an intracoded frame is normalized to be the equivalent of several predicted frames.
  • this example bit allocation formula does not take into account the spatial and temporal complexity of each GOV or GOP.
  • the bit allocation formula takes the temporal and spatial complexity into consideration to provide a still more intelligent bit allocation for each GOV.
  • a two-pass encoding process takes into account spatial and temporal complexity.
  • the first pass detects scene changes and collects frame complexity.
  • the second pass performs the actual encoding using complexity guided bit allocation.
  • the first pass process will now be described in greater detail.
  • a new GOV or GOP is started from a scene change instance.
  • the two-pass rate control process provides substantially uniform quality for each temporally segmented GOV so that quality variation is better limited to GOV or GOP boundaries. This approach is taken because minimizing quality variation, as measured by the Peak Signal to Noise Ratio (PSNR), the Root Mean Square Error or other image fidelity metric, among different scenes provides less benefit with respect to human visual perception.
  • PSNR Peak Signal to Noise Ratio
  • the complexity measure in accordance with one embodiment of the present invention is relatively invariant with the quantization parameter (QP) used.
  • QP quantization parameter
  • M i is the MAD computed with a motion-compensated residual that is substantially invariant with respect to the QP (i.e., Q 1 ), and a 1 and a 2 are Taylor expansion coefficients of texture bits T i over QP.
  • the coefficients a 1 and a 2 are normally of the same order, that is, have similar values. As can be seen, the lower the QP, the greater then number of texture bits needed to encode a given frame.
  • C g,i addresses both the motion and texture bit count, and is substantially QP invariant.
  • C g,i is defined by the ratio of the texture bit count for a given frame to the average texture bit count, and the ratio of the motion vector bit count for the given frame to the average motion vector bit count, as follows:
  • MV (g,i) is the motion vector bit count for frame(g,i)
  • ⁇ overscore (MV g ) ⁇ is the average motion vector bit count
  • ⁇ overscore (R g ⁇ H g ) ⁇ is the average texture bit count.
  • the rate control process 900 in the second pass consists of a three level hierarchy, scene (GOV or GOP)-level bit allocation 902 , frame-level bit allocation 904 , and macroblock-level QP adjustment 906 which utilizes the obtained frame complexity values C g,i .
  • the GOV or GOP level recursive bit allocation process 1000 is applied, as illustrated in FIG. 10.
  • an initialization process is performed, with the following assignments:
  • Bit budget Br bit allocation for a given time window corresponding to a certain number of GOVs or GOPs
  • bits are assigned to the scene (GOV or GOP) of index g according to the following formula:
  • B t ⁇ ( g ) ⁇ ⁇ ( R / F ) ⁇ N ( g ) + ( 1 - ⁇ ) ⁇ C g ⁇ N g ⁇ i ⁇ C i ⁇ N i ⁇ B r Equation 13
  • N (g) the number of frames in GOV or GOP of index g
  • [0131] defines the total scene complexity for the given time window corresponding to the GOVs or GOPs under consideration
  • the case with 0 ⁇ 1.0 represents a bit-allocation tradeoff between the buffer and the quality constraints.
  • MarginFactor1 0.8, which provides a safe margin (0.8 of the maximum buffer size) for buffer regulation.
  • ⁇ g ⁇ g ⁇ 1 +B t(g) ⁇ ( R/F ) ⁇ N (g) ,
  • the GOV or GOP scene-level bit allocation advantageously suitably allocates the bit budget to each GOV or GOP while meeting both the buffer and the quality constraints.
  • the frame level bit allocation process 904 illustrated in FIG. 9 performs such a frame bit allocation process, and is similar to the process 1000 for the GOV or GOP level bit allocation.
  • the variables corresponding to frames are utilized.
  • the macroblock level QP adjustment 906 can be alternatively performed in accordance with the following description.
  • a safe margin 0.8 of the maximal buffer by way of example
  • all the macroblocks are quantized with the same quantization parameter (QP) using a one-pass rate control.
  • QP quantization parameter
  • N MB is the number of macroblocks in one frame
  • MAD k is the mean absolute difference of MB k
  • QP k ⁇ 1 is the QP for a previous macroblock.
  • the QP for the current MB k can be in the range of [QP k ⁇ 1 ⁇ 2, QP k ⁇ 1 +2], as determined in accordance with the following rules:
  • QP k ⁇ QP k - 2 ⁇ ⁇ if ⁇ ⁇ R k - 1 > 1.5 ⁇ B k - 1 ⁇ ( MAD k - 1 / ⁇ k - 1 N MB ⁇ MAD m ) ⁇ ⁇ else
  • the macroblock bit allocation process can be disabled or not used so that the decoder can assume that the QP is the same for each macroblock. This helps prevent the decoder from using the wrong QP when portions of a frame have been corrupted or lost.
  • a novel rate control process is used to meet or substantially meet the calculated bit budget.
  • Conventional MPEG-4 rate control does provide adequate performance for many applications. For example, many conventional rate control processes do not explicitly support multiple scenes. Instead, these conventional rate control processes assume that an entire sequence comprises a single scene, and therefore fail to provide for satisfactory rate control. By contrast, an embodiment of the present invention takes into account when scene changes occur, and so provides enhanced rate control.
  • a self-converging rate control processed is used to meet the bit budget of each GOV by adjusting the quantization parameter QP of each frame, where QP is equal to half the quantization step size.
  • the quantizer parameter QP can have 31 values [1-31].
  • the rate control process determines the QP based on past bit usage, the number of un-coded frame and the rest bits for a given GOV. Thus, if the current bit usage exceeds the assigned bit budget by more than a certain amount or percentage, the quantization parameter, and therefore the quantization step size, are increased.
  • the quantization parameter and therefore the quantization step size, are decreased.
  • Margin1 is a constant that allows the current bit usage to exceed the assigned bit budget, so that the system has an opportunity to stabilize. For example, Margin1 can be set equal to 1.15, allowing the current bit usage to exceed the assigned bit budget by 15%.
  • Margin2 is a constant that allows the current bit usage to under-run the assigned bit budget, so that the system has an opportunity to stabilize. For example, Margin2 can be set equal to 0.85, allowing the current bit usage to under-run the assigned bit budget by 15%.
  • StepUpPrcnt is constant related to how much the quantization parameter is to be increased.
  • StepUpPrcnt may be set equal to 0.1.
  • StepDwnPrcnt is constant related to how much the quantization parameter is to be increased.
  • StepDwnPrcnt may be set equal to 0.1.
  • the actual bit usage B act is compared with the pre-assigned bit budget B ass , and if the actual bit usage varies by more then a certain amount or percentage (Margin3, Margin 4) from the budgeted bit usage, the quantization parameter QP for an I-frame (QPI) is adjusted up or down by a certain amount (StepUp, StepDwn) or percentage as needed.
  • a certain amount or percentage Margin3, Margin 4
  • the initial value of QPI may be set to 10, while the initial value of QP for a P-VOP may be set to 12. Note that when the quantization parameter QPI for I-VOP is changed, the QP assignment of the following P-frames may also change.
  • the encoder module 106 B then performs adaptive motion change detection to efficiently reduce large propagation errors.
  • adaptive intra refresh is used to reduce error propagation in an MPEG data stream by the selective intra-coding of macroblocks in p-frames.
  • AIR is used to help determine how many macroblocks should be intra-encoded in the detected motion region of a frame. While the performance of macroblock intra-refresh increases error resilience of the compressed bitstream, increasing the number of intra-coded macroblocks correspondingly increase the number of bits used to encode these macroblocks. Further, if there is a fixed bit rate, the quantization error has to increase for the other, non-intracoded, macroblocks. Thus, preferably, bandwidth and the bit error probability (BER) are taken into account to determine the percentage or number of macroblocks that are to be intracoded.
  • BER bit error probability
  • the encoder module 106 B optionally used Cyclic Intra Refresh (CIR) to encode a predetermined number of macroblocks (MBs) in each frame.
  • CIR Cyclic Intra Refresh
  • Cyclic Intra Refresh (CIR) and Adaptive Intra Refresh (AIR) are performed as follows.
  • the number of Intra macroblocks in a VOP is specified by the user in the encoder parameter file.
  • the number of Intra macroblocks in a VOP depends on target bit rate, frame rate, bit buffer usage, channel noise feedback, and other transmission related parameters.
  • the encoder module 106 B estimates the amount of motion for each macroblock and selects heavy motion area to be encoded in INTRA mode to enhance error resiliency. The results of the estimation are recorded a refresh map at the macroblock level.
  • FIG. 2A An example conventional refresh map 202 is illustrated in FIG. 2A.
  • the encoder module 106 B refers to the refresh map and selectively determines whether to encode a given macroblock of the current VOP in INTRA mode or not.
  • the estimation of motion is performed by comparing SAD (Sum of the Absolute Difference) and SAD th .
  • SAD refers to the Sum of the Absolute Differences value between the current macroblock and the macroblock in the same location of the previous VOP.
  • the SAD is already calculated when performing motion estimation. Therefore, the SAD calculation does not have to be repeated as part of the AIR process.
  • SAD th is used as a threshold value in determining whether a given macroblock is a motion area. If the SAD of the current macroblock is larger then SAD th , this macroblock is regarded as motion area.
  • a macroblock is regarded as a motion area, it remains as a candidate motion area until it is encoded in Intra mode a predetermined number of times.
  • the value for this “predetermined number of times” is set “1,” in other embodiments, the predetermined number of times can be set equal to 2, or a higher value.
  • Horizontal scanning is used to resolve among macroblocks that are candidates to be encoded in Intra mode within the moving area as illustrated in map 204 in FIG. 2B.
  • the AIR refresh rate that is, the fixed number of Intra macroblocks in a VOP is preferably determined in advance. In this example, the number of Intra macroblocks in a VOP is set to “2”.
  • the first VOP is a scene change frame containing elements 802 , 804 . Therefore, all macroblocks in the 1st VOP are encoded in Intra mode, as illustrated in FIG. 8A[a]. As illustrated in FIG. 8A[b], the refresh map is set to “ 0 ”, where a 0 indicates that an Intra refresh is not to be performed and a 1 indicates that an Intra refresh is to be performed, because the 1st VOP is encoded without reference to a previous VOP.
  • the 2nd VOP is interceded as a P-VOP. Elements 802 , 804 have moved down one macroblock and to the right by one macroblock. Intra refresh is not performed in this VOP, because all values in the refresh map are still zero, as illustrated in FIG. 8A[c].
  • the encoder module 106 B estimates motion of each macroblock. If the SAD for a given macroblock is larger than SAD th , the given macroblock is regarded as motion area, illustrated by the hatched area in FIG. 8A[e]; thus, the refresh map is updated as illustrated in FIG. 8A[f], where the refresh map entry corresponding to a motion macroblock is set to 1.
  • Elements 802 , 804 have moved down by an additional macroblock and to the right by an additional macroblock.
  • the encoder module 106 B refers to the Refresh Map illustrated in FIG. 8A[g]. If the refresh map indicates that a macroblock is be Intra refreshed, the macroblock is encoded in Intra mode, as illustrated by the macroblocks containing an “X” in FIG. 8A[h]. The corresponding refresh map value for an intracoded macroblock is decreased by 1 as illustrated in FIG. 8A[i].
  • the processing is substantially the same as that for the 2nd VOP as illustrated in FIG. 8A[j]-[k], where if the SAD for a given macroblock is larger than SAD th , the given macroblock is regarded as motion area.
  • the refresh map is updated as illustrated in FIG. 8A[k], where the refresh map entry corresponding to a motion macroblock is set to 1.
  • the processing is substantially the same as for the 3rd VOP. If a current macroblock has a 1 associated with it in the refresh map, it is encoded in Intra mode as illustrated by the macroblocks containing an “X” in FIG. 8A[m]. The corresponding refresh map value for an intracoded macroblock is decreased by 1 as illustrated in FIG. 8A[n].
  • the corresponding macroblock is not regarded as a motion area. If the SAD for a given macroblock is larger than SAD th , the given macroblock is regarded as motion area.
  • the refresh map is updated as illustrated in FIG. 8A[p].
  • a novel enhanced AIR process is performed as follows to select which macroblocks are to be intracoded in a predicted frame.
  • An intercede distortion value and an intracode distortion value are calculated, as are an intercede bit rate and an intracode bit rate.
  • the enhanced AIR process will now be described in greater detail.
  • the expected distortion that would result if the macroblock were lost or corrupted is estimated.
  • the distortion can be reduced if the reference macroblock in the prediction is intracoded.
  • recursive tracking in conjunction with the prediction path can be used to determine the expected distortion of the macroblock.
  • the dashed lines 804 B to 818 B, 806 B to 820 B, 820 B to 826 B, 812 B to 822 B, 814 B to 824 B, 822 B to 828 B, and 828 B to 830 B indicate motion vectors (MV) that are part of the encoded bitstream from a macroblock in the previous frame to a macroblock in the current frame.
  • the angled solid lines such as those from 802 B to 818 B, 806 B to 820 B, 810 B to 822 B, 816 B to 824 B, 818 B to 826 B, 824 B to 828 B, and 826 B to 830 B, indicate a zero-motion vector, where a lost motion vector is set to zero.
  • the encoder module 106 B While encoding a given current macroblock, the encoder module 106 B performs a motion search on the previous frame and locates a macroblock that most closely matches the current macroblock or is otherwise determined to be a good prediction frame. This located macroblock from the previous frame, depicted by a non-hatched circle, such as macroblocks 802 B, 806 B, 810 B, 816 B, 818 B, 820 B, 826 B, is called a prediction macroblock.
  • a residual error is calculated and further encoded using the Discrete Cosine Transform (DCT), then quantized using a selected quantization step or quantization parameter (QP), and entropy coded using variable length coding (VLC).
  • DCT Discrete Cosine Transform
  • QP quantization step or quantization parameter
  • VLC variable length coding
  • the encoded bitstream consists of motion vector information, entropy coded quantized DCT coefficients for the residual error, and corresponding header information.
  • the decoder When the decoder receives the encoded bitstream, the decoder processes the coded information and reconstructs the macroblocks. When information for a macroblock is missing, which may be due to packet loss or other error conditions, the decoder preferably conceals the corresponding macroblock using one or more error-concealment strategies, such as the basic concealment discussed above. As discussed above, when a macroblock is missing, basic concealment copies a macroblock at the same spatial location from the previous frame. This is equivalent to receiving a zero-motion vector and zero DCT coefficients.
  • the encoder system 100 includes corresponding decoder circuitry so that it can mimic the decoder process and reconstruct what the decoder will reconstruct both in the absence of errors, and in the presence of one or more errors, such as a single error affecting just the current macroblock (“MBC”).
  • MBC macroblock
  • the difference between the error-free reconstruction and the reconstruction assuming one error is termed “concealment error” or EC.
  • EC is defined as follows:
  • the error propagation model When a given macroblock is used as a prediction macroblock for the next frame, an error present on the given macroblock will propagate to those macroblocks in the next frame that use the given macroblock for prediction purposes, even when there is no further error in motion vectors and DCT coefficients for those next-frame macroblocks.
  • the mechanism with which error propagates from a macroblock in a given frame to other macroblocks in the next frame is termed “the error propagation model.”
  • Error attenuation occurs when half-pixel accuracy is used for prediction either in the vertical or horizontal direction or in both the vertical and the horizontal directions. Error attenuation, comparable to a low pass filter, occurs as a result of the low-pass frequency characteristic of the pixel averaging operation applied when half-pixel motion is used.
  • the concealment error EC calculated at the encoder system 100 B
  • the propagated error via half-pixel motion in the horizontal direction ECh/2 the propagated error via half-pixel motion in the vertical direction ECv/2
  • the propagated error via half-pixel motion in the horizontal and vertical direction EChv/2 can be determined.
  • Half pixel interpolation is illustrated in FIG. 8D, showing integer pixel locations, half-pixel locations in the horizontal direction, half-pixel locations in the vertical direction, and half-pixel locations in the horizontal and vertical dimension.
  • the half-pixel averaging filter that is normally applied to pixel values can be applied to the concealment error, EC, to define four types of propagated error arrays:
  • ECh/2 error through horizontal half-pixel motion (value calculated on crosses “x” in FIG. 8D)
  • EChv/2 error through horizontal and vertical half-pixel motion (value calculated on squares in FIG. 8D)
  • a motion vector MV can map macroblocks in the current frame Frame n , aligned with a grid of 16-pixel rows and columns, into 16 ⁇ 16 pixels in the predicted frame Frame n ⁇ 1 that are not necessarily aligned on the same grid. Indeed, as illustrated in FIG. 8E, a macroblock in Frame n can map to portions of up to four macroblocks in the predicted frame Frame n ⁇ 1 .
  • An error present on one or more of the four possible macroblocks from the previous frame used for prediction for a macroblock in the current frame will be reflected in the macroblock in the current frame.
  • the error relationship can be proportional to the overlap area. For example the error relationship can be proportional or based on the number of pixels that they overlap.
  • the up to four prediction macroblocks are identified that would be used when encoding the macroblock in Inter mode.
  • [0199] is the weighting factor relating the area of overlap (w1 ⁇ h1) between macroblock j and macroblock i.
  • the term ⁇ u 2 (i) is the concealment error ⁇ EC 2 for macroblock i.
  • FIG. 8B Beginning with the macroblock 830 B in current Frame n , there are two macroblocks in Frame n ⁇ 1 that may be used by a decoder to recreate macroblock 830 B, a macroblock 826 B used for normal decoding, and a macroblock 828 B used for concealment.
  • Each of the macroblocks 826 B, 828 B in Frame n ⁇ 1 may correspond to up to 4 aligned macroblocks, as discussed above.
  • the same “decode or conceal” strategy can be recursively applied for the two macroblocks 826 B, 828 B in Frame n ⁇ 1 to locate 4 macroblocks 818 B, 824 B, 822 B, 829 B in Frame n ⁇ 2, and then reach Frame n ⁇ 3 with 8 macroblocks 802 B, 804 B, 806 B, 808 B, 810 B, 812 B, 814 B, 816 B, and so on.
  • Each of the 8 macroblocks in Frame n ⁇ 3 has a probability of appearing in Frame n at the current macroblock, if a certain series of errors/packet loss occurs during transmission.
  • the probability of a particular path to the macroblock 830 B occurring can be determined by multiplying the p and q values along the path.
  • there exist paths that have probability p 2 such as those where two packet losses in a row occur, and a path defined by 812 B- 830 B with probability p 3 .
  • FIG. 8B can thereby be simplified to the paths illustrated in FIG. 8F.
  • the reductions in paths in FIG. 8B is based on an assumption that a macroblock that is to be used for concealment is not itself corrupted, that is, the probability is neglected of multiple error/packet loss on a certain path between two macroblocks. While this assumption may not always be true, it will most often be true.
  • the expected distortion for the current macroblock in Frame n can be estimated using the propagation model described above.
  • the expected distortion is defined using the following equation:
  • D′(n ⁇ 1) is the expected distortion for the reference macroblocks in Frame n ⁇ 1 , as modified by the transition factors to take into account the possible half-pixel motion from Frame n ⁇ 1 to Frame n .
  • ⁇ (n ⁇ 1,n) is one of the 4 transition factors ( ⁇ EC , ⁇ h/2 , ⁇ v/2 and ⁇ hv/2 ) for the reference macroblock in Frame n ⁇ 1 , depending on the motion vector from Frame n ⁇ 1 to Frame n .
  • D′′(n ⁇ 2) is the expected distortion for the reference macroblocks in Frame n ⁇ 2 as modified by the transition factors to take into account the possible half-pixel motion from Frame n ⁇ 2 to Frame n ⁇ 1 and from Frame n ⁇ 1 to Frame n .
  • D ⁇ ( n ) p ⁇ ⁇ ⁇ EC 2 ⁇ ( n ) + q ⁇ ( p ⁇ ⁇ ⁇ EC 2 ⁇ ( n - 1 ) 1 + ⁇ ( n - 1 , n ) + q ⁇ ( p ⁇ ⁇ ⁇ EC 2 ⁇ ( n - 2 ) 1 + ⁇ ( n - 2 , n - 1 ) + ⁇ ( n - 1 , n ) + qD ′′′ ⁇ ( n - 3 ) ) ) Equation 22
  • Frame n ⁇ 3 is an I-frame or if the frame buffer is limited or restricted to 3 frame, then D′′′(n ⁇ 3) is equal to zero. Otherwise, the same procedure is recursively applied to previous frame macroblocks. Similarly, if an Intra macroblock is encountered during the recursive processes, it is assumed that the distortion is equal to p ⁇ EC 2 , because there is no motion vector, and thus no error-propagation term.
  • the information stored for each macroblock of previous frames can be utilized to calculate the expected distortion for each macroblock for the current Frame n .
  • this expected distortion is due to errors in transmission and is not correlated to the distortion due to quantization for each macroblock. Therefore, the expected distortion term needs to be added to the quantization error to determine the total distortion for each macroblock.
  • This total distortion is referred to as “total Inter-mode distortion,” or D TINTER , as it relates to Inter mode encoding of macroblocks.
  • a certain number of bits are needed for the Inter mode encoding and the Intra mode encoding, respectively referred to as R TINTER and R TINTRA .
  • a full Rate-Distortion optimization can be performed that involves determination of an optimal weighting factor ⁇ to be used for evaluating a cost function for each macroblock, given by:
  • a less resource intensive process is to calculate the expected distortion for each macroblock due to transmission error, while ignoring or excluding quantization error. Then, the differential between the expected distortion for Intra and Inter mode can be used as the criterion for selecting macroblocks to be Intra coded by ordering them according to this criterion.
  • Adaptive Intra Refresh can be used to help determine how many macroblocks should be intra-encoded in the detected motion region of a frame.
  • AIR can be enabled and disabled in the encoder parameter file using an AIR bit set by a user and read by the encoder module 106 B.
  • the user also specifies another parameter, the AIR refresh rate.
  • the AIR refresh rate determines how many macroblocks should be intra-coded in the detected motion region of one frame.
  • Adaptive motion change detection can efficiently reduce the large propagation error, even when the error occurs in the motion region.
  • FIG. 8H illustrates an embodiment of the E-AIR process.
  • the motion vector or vectors for the current macroblock of interest in Frame (n) are received.
  • the motion vector is used to locate which macroblocks from a previous Frame (n ⁇ 1) are to be used in predicating the current macroblock.
  • a determination is made as to how much, in terms of area or pixels, of each of the located macroblocks in Frame (n ⁇ 1) will be used in generating the current macroblock.
  • the error variances ( ⁇ 2 Ec , ⁇ 2 Ech/2 , ⁇ 2 Ecv/2 , ⁇ 2 Echv/2 ) are calculated, including the overlap weighting ( w ⁇ ( i , j ) ⁇ 1 1 + ⁇ i , j ) .
  • the propagation strength transition quantities are calculated based on the error variances.
  • the Intra Error Distortion D INTRA for Frame (n) is calculated.
  • the Inter Error Distortion D INTER for Frame (n) is recursively calculated.
  • the recursive calculation can include the error distortion and quantization distortion from previous frames, such as Frame (n ⁇ 1), Frame (n ⁇ 2), and so on, whose errors may propagate to Frame (n).
  • the recursion may be limited to a predetermined number of frame generations, until all or a predetermined amount of the frame buffer is being used, or the recursion may stop when an Intra frame is reached.
  • the value DeltaD is calculated by taking the difference between D INTRA and D INTER , or by otherwise comparing D INTRA and D INTER .
  • the bit quantity or bit rate R INTRA and R INTER for intracoding Frame (n) and for intercoding Frame (n) respectively are determined.
  • a comparison of R, and R INTER is made by calculating the difference DeltaR.
  • the decision to intracode or to intercode is made based on DeltaR, DeltaD and Lambda using the illustrated criteria. Alternatively, those macroblocks having a DeltaD may be chosen for intracoding.
  • the two macroblocks having the largest DeltaD are intracoded.
  • FIG. 8C illustrates experimental results comparing the use of Cyclic Intra Refresh, trace 802 C, with the use of the enhanced AIR method described immediately above, trace 804 C.
  • the overall gain is approximately 1 dB in the PSNR.
  • the additional computational load is approximately 10%.
  • CIR Cyclic Intra Refresh
  • the number of the Intra Refresh macroblocks in a VOP is defined as the summation of the AIR_refresh_rate and the CIR_refresh_rate.
  • AIR_refresh_rate macroblocks are encoded in AIR mode and CIR_refresh_rate macroblock are encoded in the conventional CIR mode. These values are user definable in the encoder parameter file. When the channel degrades, higher CIR and AIR rates should preferably be assigned. In addition, when the distance between I-frames is large, higher CIR and AIR rates should preferably be assigned. These rates are preferably varied adaptively with changing channel conditions as well as with the coding parameters to improve the tradeoff between error resilience and coding efficiency.
  • the encoder parameter file specifies many different encoding parameters, including those discussed above.
  • the encoder parameter file can be used in conjunction with the preprocessing module output by reading the frame-type file, which specifies the encoding type are determined by preprocessing process described above.
  • the encoder parameter file includes fields to enable/disable AIR, CIR, and SMC, to specify the AIR and CIR refresh rates, and a flag used to enable or disable the inclusion of two I-frames at the beginning of each scene, GOV or GOP.
  • the encoder parameter file has the following parameters or fields: TABLE 1 Encoder parameter specification. Version Version number and/or name Source.Width specifies frame width Source.Height specifies frame height Source.FirstFrame specifies the first frame to be encoded (counting from 0) Source.LastFrame specifies the last frame to be encoded Source.Directory Directory to store the original source of sequence without trailing “ ⁇ ” Source.SamplingRate Allows sub-sampling the original source based on this sampling rate parameter Output.Directory.Bitstream Output bitstream directory Output.Directory.DecodedFrames Directory to put the reconstructed frames from the encoder (encoder also performs decoding RateControl.Type [0] What type of rate control—one of “None” (maintain constant QP), “MP4” (for IMP4), “TM5” (for Test Model 5); RateControl.BitsPerVOP [0]: bit budget for the entire sequence Quant.Type [0] One
  • GOV.Enable [0] GOV header present or not GOV.Period [0] Number of VOPs between GOV headers Texture.QuantStep.IVOP [0] Quantization Parameter (QP) for I-VOP; not affected by rate control Texture.QuantStep.PVOP [0] QP for P-VOP if rate control is disabled Texture.QuantStep.BVOP [0] QP for B-VOP if rate control is disabled Motion.PBetweenICount [0] In case of multiple scenes, and in the presence of a frame-type file, the encoder ignores this parameter. Else, the length of a GOP is specified before source subsampling.
  • a negative value means one GOP for the whole sequence.
  • HEC Header Extension Code
  • a Header Extension Code is included by the encoder module 106 B in every packet in a sequence of video packets or in every video packet, and not just on the first video packet following the VOP header as with conventional encoders. This better ensures that even if a packet is lost or corrupted, subsequent packets can still be decoded and used. Further, even typical conventional decoders will be able to handle the inclusion of the enhanced use of HECs as the use of additional HECs is compatible with the MPEG-4 bitstream syntax. Adding a header, including sequence information, to all packets increases overhead by only about 40 bits per packet, or about 0.2%, but results in a noticeable improvement in decoding.
  • Second-order Motion Compensation is optionally provided to enhance error resiliency.
  • the SMC process is performed by the encoder module 106 B and generates supplemental motion vectors so that each predicted frame can be predicted separately from two preceding frames.
  • Sequence 502 of FIG. 5 illustrates the SMC process, in which k th frame has motion vectors from both from the (k ⁇ 1) th frame and the (k ⁇ 2) th frame. Therefore, even if the motion vectors from the (k ⁇ 1) th frame are corrupted, or the (k ⁇ 1) th frame is itself corrupted, the k th frame can still be predicted from the (k ⁇ 2) th frame using the corresponding motion vectors.
  • the scene image quality at the decoder-side will be better protected from transmission errors. For example, even if all the information for k th frame is corrupted during transmission, the use of SMC can effectively suppress error propagation by excluding k th frame from being used in any later prediction as illustrated in FIG. 5 by sequence 504 .
  • a frame buffer is included in the encoder module 106 B to store the previously decoded frame at time (t ⁇ 2). This previously decoded frame is used to calculate the second order motion vectors. In one embodiment, these redundant motion vectors are not used in the encoder to produce residuals.
  • the decoder uses the second order motion vectors when the bitstream is corrupted during the transmission and the first order motion vectors or corresponding frame is corrupted. Otherwise, the second order motion vectors need not be used in the decoder.
  • full, unrestricted motion search can be performed in order to determine these second-order motion vectors.
  • the information regarding motion between frames (t ⁇ 2) and (t ⁇ 1) and between frames (t ⁇ 1) and (t) can be combined in order to estimate these second-order motion vectors.
  • the SMC data can optionally be included, via the “user data mechanism”, as explained below, for the first P-VOP following a scene change or for each P-VOP.
  • the advantage of having SMC on only the first P-VOP is that bandwidth is not wasted when there is no error, thereby providing better coding efficiency.
  • providing SMC for every P-VOP or for many P-VOPs enhances the robustness and decoding ability of the decoder, especially for cases of severe error conditions.
  • An additional video packet referred to as “User data” or an “SMC” video packet, for each P-VOP is used to transmit these second-order motion vectors.
  • This packet contains, in the same predictive fashion and using the same variable-length codes as in the standard motion vectors, a motion vector for each macroblock or selected macroblocks of the current P-VOP.
  • An HEC is included in this special SMC video packet, which allows the SMC video packet to be decoded even if other packets for this P-VOP are lost.
  • this packet is positioned in the bitstream at the end of each P-VOP. A user can enable or disable the use of SMC by setting to 1 or 0 the corresponding option in the encoder parameter file.
  • FIG. 6 illustrates an example packetized bitstream showing the relative position of packets in the bitstream, including the SMC packet 602 .
  • a so-called “User data start code” (hex code B2) or the like, including other unique identifier codes to be assigned in the future by MPEG-standards committee and the like, precedes the HEC and motion vector information.
  • the user data start code signals standard decoders not capable of using the second order motion vectors to ignore all bits following it until the next start code in the bitstream, which in this will be a VOP start code.
  • the encoder includes a unique 16-bit identifier in order not to confuse the SMC user data extensions with data that other people may decide to include in the bitstream following the same convention.
  • the use of two consecutive I-frames advantageously prevents the prediction of a frame in the current scene using scene content from other scenes, without degrading the performance of the SMC. Because the first two consecutive frames in a scene are intracoded, neither first nor second-order motion vectors are inserted into the I-frames.
  • the inclusion of the consecutive I-frames can be under the control of the preprocessing module 102 B which can designate both a scene change frame and the next frame as intracoded frames.
  • the encoder module 106 B can automatically intracode a frame following a frame designated as an intracoded frame by the preprocessing module 102 B.
  • a “consecutive I-frame” flag is provided in the encoder parameter file that can be independent of the SMC flag.
  • the presence of two consecutive I-frames at the beginning of each scene can be used for the decoder to conceal transmission errors more efficiently, even if the SMC mode is not turned on, or when it is turned on for just the first P-VOP following the (double) I-frame after a scene change.
  • Adaptive Intra Refresh is optionally supported by the encoder module 106 B as a by-product of SMC.
  • This mode enabled when selecting SMC for just the first P-VOP or for every P-VOP, encodes in INTRA mode those macroblocks that have as prediction macroblocks from frames (t ⁇ 1) and (t ⁇ 2) two significantly different macroblocks, as measured by the MAD distance measure.
  • An example threshold is 20. Thus, if the MAD between the two prediction macroblocks for a given macroblock in the current frame is greater than 20, this macroblock is intracoded.
  • the encoder module 106 B also performs general encoder functions, such as motion estimation, residual calculation, and the like.
  • the encoder output can be stored for later transmission or can be transmitted in substantially real-time to a receiving terminal, such as a cellular phone, containing an appropriate decoder.
  • Intra_dc_vlc_thr is set to “0”, so that all DC coefficients are coded using DC VLC in a frame or VOP.
  • the ac_pred_flag may be disabled for all Intra macroblocks. Both these options are permitted by the syntax and so are supported by standard decoders, and can result in higher quality for the case of error in transmission. This improvement can be on the order of 0.1-0.2 dB in PSNR.
  • the DC coefficient of each 8 ⁇ 8 DCT block of an INTRA macroblock can either be coded together with the 63 AC DCT coefficients, using what is known as an “INTER VLC” table, or separately, using what is known as an “INTRA VLC” table.
  • the DC data bits are located before the DC marker (DCM), together with the header bits, while the data bits for AC coefficients are placed after the DC marker.
  • the ac_pred_flag is another option that indicates whether for a specific block of an INTRA macroblock, the top row and first column DCT coefficients, are coded independently or differentially with respect to the neighboring blocks. To enhance error resilience it is preferable to set ac_pred_flag to 0.
  • error-correction is supported at the source level by using Forward Error Correction (FEC).
  • FEC Forward Error Correction
  • BCH Bose-Chaudhuri-Hocquenghem
  • Reed-Solomon are supported.
  • BCH is an error detection and correction technique based on Cyclic Redundancy Code.
  • n the number of information bits.
  • the BCH code has a minimum distance of at least 2t+1.
  • Each binary BCH code (n, k, t) can correct up to t bit errors, and thus it is also referred to as a t-error-correcting code.
  • Different block sizes may be used.
  • a block size of 511 is used.
  • FEC is performed at a packetizer level of the elementary video bitstream, which can be considered as source-level error correction.
  • channel level error-correction introduces redundancy at the bit-level after multiplexing.
  • FIG. 11 illustrates an example graph of Forward Error Correction overhead vs. average BER correction capability. As illustrated, there is a close relation between FEC redundancy and error correcting capability, which is a strong indicator of error resilience. Preferably, at least double the expected BER is provided for.
  • FEC process rather then apply FEC to all packet data, a more efficient process is performed that reduces the number of error correction bits generated as compared to conventional approaches, while still providing significant error correcting capability.
  • One embodiment of the FEC process optionally generates FEC bits only for selected portions of the packets, and in particular, for those portions that are considered more essential or important for purposes of reproducing a frame sequence by the decoder.
  • the FEC process provides a systematic code, that is, the FEC correction or parity bits are separate from the original uncoded data bits. Thus, even if all the FEC bits are lost, the original selected portions of the packet are still potentially decodable.
  • the FEC data is encoded and transmitted in an MPEG-4 compliant manner as explained below.
  • the decoder will still be able to process the frame motion and texture data.
  • FEC is efficiently applied to important data, such as motion vectors, DC coefficients and header information, and FEC bits are not generated for unimportant or less important data.
  • This more important data may be located in a packet between a packet resync field and a motion marker.
  • the selected bits targeted for FEC coding are concatenated together with those from other frame packets and the FEC code bits are generated for the concatenated bits.
  • the resulting FEC bits are placed in an additional packet after the regular frame or VOP packets to ensure MPEG compatibility.
  • a packet identifier is stored in association with a corresponding value indicating how many bits and/or which bits where used to generate FEC bits.
  • this additional FEC packet further includes a user data identifier code, “user_data_start_code,” used to identify user defined data, and as such will be ignored by conventional decoders not equipped to process the FEC packet.
  • user_data_start_code used to identify user defined data, and as such will be ignored by conventional decoders not equipped to process the FEC packet.
  • the FEC packet will not be used by decoders equipped to handle the FEC bits. But when errors do occur, FEC decoding will help recover data that will allow for decoding even under severe error conditions.
  • embodiments of the present invention advantageously enable the transmission of video information even in low-bit rate, high noise environments.
  • embodiments of the present invention enable video transmission to be successfully performed over cellular networks and the like.
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