• DocumentCode
    856256
  • Title

    Forward Error Correction-Based 2-D Layered Multiple Description Coding for Error-Resilient H.264 SVC Video Transmission

  • Author

    Xiang, Wei ; Zhu, Ce ; Siew, Chee Kheong ; Xu, Yuanyuan ; Liu, Minglei

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
  • Volume
    19
  • Issue
    12
  • fYear
    2009
  • Firstpage
    1730
  • Lastpage
    1738
  • Abstract
    In this paper, we propose a novel 2-D layered multiple description coding (2DL-MDC) for error-resilient video transmission over unreliable networks. The proposed 2DL-MDC scheme allocates multiple description sub-bitstreams of a 2-D scalable bitstream to two network paths with unequal loss rates. We formulate the 2-D scalable rate-distortion problem and derive the expected distortion for the proposed scheme. To minimize the end-to-end distortion given the total rate budget and packet loss probabilities, we need to optimally allocate source and channel rates for each hierarchical sublayer of the scalable bitstream. The conventional Lagrangian multiplier method can be utilized to solve this problem but with overwhelming computational complexity. Therefore, we consider the use of the genetic algorithm to solve the rate-distortion optimization problem. The simulation results verify that the proposed method is able to achieve significant performance gain as opposed to the conventional equal rate allocation method.
  • Keywords
    forward error correction; genetic algorithms; rate distortion theory; video coding; 2D layered multiple description coding; 2D scalable rate-distortion problem; Lagrangian multiplier method; error-resilient H.264 SVC video transmission; forward error correction; genetic algorithm; rate-distortion optimization problem; unreliable networks; 2-D layered multiple description coding (2DL-MDC); genetic algorithm; rate-distortion optimization; scalable video coding;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems for Video Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1051-8215
  • Type

    jour

  • DOI
    10.1109/TCSVT.2009.2022787
  • Filename
    4914850