• DocumentCode
    3383399
  • Title

    Robust predictive coding and the Wyner-Ziv problem

  • Author

    Sehgal, Anshul ; Ahuja, Narendra

  • Author_Institution
    Beckman Inst., Illinois Univ., Urbana, IL, USA
  • fYear
    2003
  • fDate
    25-27 March 2003
  • Firstpage
    103
  • Lastpage
    112
  • Abstract
    The problem of robust communication of predictive encoded video in a joint source-channel setting is addressed. Specifically, the problem of predictive mismatch, where there is a drift between the state of the encoder and the decoder is addressed as a variant of the Wyner-Ziv problem. A video encoding algorithm based on the H.26L video codec, which presents the propagation of error in predictively encoded video in the event of predictive mismatch (or drift) between the encoder and the decoder, is proposed. One of the main advantages of the proposed approach is that there is minimal loss in performance over the standard H.26L encoder during error-free transmission, while simultaneously allowing error recovery in the event of errors. Using turbo codes as coset codes, the performance of the proposed codec is evaluated and the efficacy of the proposed framework is demonstrated. The performance of the proposed approach can only improve with the use of superior coset codes.
  • Keywords
    combined source-channel coding; error detection; linear predictive coding; turbo codes; video codecs; video coding; H.26L encoder; Wyner-Ziv problem; error-free transmission; joint source-channel setting; minimal loss; predictive mismatch; robust communication problem; robust predictive coding; superior coset codes; turbo codes; video codecs; video encoding algorithm; Data compression; Predictive coding; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Compression Conference, 2003. Proceedings. DCC 2003
  • ISSN
    1068-0314
  • Print_ISBN
    0-7695-1896-6
  • Type

    conf

  • DOI
    10.1109/DCC.2003.1194001
  • Filename
    1194001