• DocumentCode
    2154855
  • Title

    SEAMLESS P2P-MDVC with well-balanced descriptions

  • Author

    Zhu, Shuyuan ; Yeung, Siu-Kei Au ; Zeng, Bing

  • Author_Institution
    Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    1065
  • Lastpage
    1068
  • Abstract
    Multiple-description coding (MDC) provides a promising solution to support the error-prone transmission over multiple channels. One extremely important application is to design efficient multiple description video coding (MDVC) systems for the peer to peer (P2P) scenario. To this end, one needs to solve the mismatching problem between the reference frames used at the encoder and decoder sides (for motion compensation) in most non-scalable MDVC schemes or get rid of the inter-dependency within various enhancement layers in the scalable MDVC schemes. In the meantime, it is highly preferable to enforce that all descriptions transmitted over the network are well-balanced so as to have an equal payload to each peer. In this paper, we propose an MDVC scheme with a number of well-balanced descriptions. These descriptions are generated from some newly-developed unitary transforms and they can solve all of the problems mentioned above.
  • Keywords
    decoding; image enhancement; peer-to-peer computing; transforms; video coding; video communication; decoder; encoder; enhancement layer; error-prone multiple channel transmission; mismatching problem; multiple description video coding; nonscalable MDVC scheme; peer to peer MDVC; reference frames; scalable MDVC scheme; seamless P2P-MDVC; unitary transform; Discrete cosine transforms; Indexes; Mobile communication; Multiple-description coding (MDC); peer to peer (P2P); seamless; unitary transforms; well-balanced descriptions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946591
  • Filename
    5946591