• DocumentCode
    3502832
  • Title

    Combinatorial Message Sharing for a refined multiple descriptions achievable region

  • Author

    Viswanatha, Kumar ; Akyol, Emrah ; Rose, Kenneth

  • Author_Institution
    ECE Dept., Univ. of California, Santa Barbara, CA, USA
  • fYear
    2011
  • fDate
    July 31 2011-Aug. 5 2011
  • Firstpage
    1312
  • Lastpage
    1316
  • Abstract
    This paper presents a new achievable rate-distortion region for the L-channel multiple descriptions problem. Currently, the most popular region for this problem is due to Venkataramani, Kramer and Goyal [3]. Their encoding scheme is an extension of the Zhang-Berger scheme to the L-channel case and includes a combinatorial number of refinement codebooks, one for each subset of the descriptions. All the descriptions also share a single common codeword, which introduces redundancy, but assists in better coordination of the descriptions. This paper proposes a novel encoding technique involving `Combinatorial Message Sharing´, where every subset of the descriptions may share a distinct common message. This introduces a combinatorial number of shared codebooks along with the refinement codebooks of [3]. These shared codebooks provide a more flexible framework to trade off redundancy across the messages for resilience to descriptions loss. We derive an achievable rate-distortion region for the proposed technique, and show that it subsumes the achievable region of [3].
  • Keywords
    channel coding; rate distortion theory; L-channel multiple description problem; VGK; Venkataramani-Kramer-Goyal; Zhang-Berger scheme; achievable rate-distortion region; combinatorial message sharing; encoding scheme; refined multiple description achievable region; refinement codebook; single common codeword; trade off redundancy; Decoding; Distortion measurement; Encoding; Indexes; Random variables; Rate-distortion; Redundancy; Multiple descriptions coding; Rate distortion theory; Source coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on
  • Conference_Location
    St. Petersburg
  • ISSN
    2157-8095
  • Print_ISBN
    978-1-4577-0596-0
  • Electronic_ISBN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2011.6033750
  • Filename
    6033750