• DocumentCode
    3248512
  • Title

    Distributed source coding: Theorem and its application to video coding

  • Author

    Nakachi, Takayuki

  • Author_Institution
    NTT Network Innovation Labs., Nippon Telegraph & Telephone Corp., Japan
  • fYear
    2011
  • fDate
    7-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Distributed Source Coding (DSC) implements inter source redundancy by encoding correlated information sources, without letting the sources communicate with each other. The DSC theorem states that the optimal rate achieved by joint encoding and decoding can be reached by separate encoding and joint decoding. Video coding based on the DCS theorem is Distributed Video Coding (DVC). DVC is attracting attention as a new paradigm for video compression. While conventional video coding schemes such as H.264/AVC reduce inter-frame redundancy at the encoder, DVC reduces inter-frame redundancy at the decoder by using distributed channel coding. The architecture suits applications that require low-complexity encoders. Examples of such applications include wireless video surveillance and mobile camera phones. In this paper, after describing the DSC theorem, we offer a survey of recent trends and problems in DVC and then introduce our contributions.
  • Keywords
    channel coding; data compression; decoding; redundancy; source coding; video coding; The DSC theorem; correlated information source coding; decoder; distributed channel coding; distributed source coding; inter-frame redundancy; intersource redundancy; low-complexity encoders; mobile camera phones; video coding schemes; video compression; wireless video surveillance; Biometrics; Complexity theory; Estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on
  • Conference_Location
    Chiang Mai
  • Print_ISBN
    978-1-4577-2165-6
  • Type

    conf

  • DOI
    10.1109/ISPACS.2011.6146218
  • Filename
    6146218