• DocumentCode
    2577701
  • Title

    Low complexity multiple description coding for the scalable extension of H.264/AVC

  • Author

    Zhao, Zhijie ; Ostermann, Joern ; Chen, Hexin

  • Author_Institution
    Inst. fuer Informationsverarbeitung, Leibniz Univ. Hannover, Hannover, Germany
  • fYear
    2009
  • fDate
    6-8 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper, we propose a scheme for the robust transmission of video in error prone environments using multiple description coding (MDC) based on the scalable video coding extension (SVC) of H.264/AVC. Due to the layer structure of SVC, a base layer is referenced by one or more enhancement layers. The proposed method produces multiple description base layers to achieve robust video communication over unreliable channels with reasonable redundancy. Two base layers are generated using residual data downsampling, which makes it possible that the two base layers have the same motion vectors. The proposed method combines the advantages of SVC and MDC. Experimental results show that the proposed algorithm outperforms the temporal splitting based multiple description scalable coding method in terms of PSNR by 0.3 dB.
  • Keywords
    video coding; H.264/AVC; PSNR; error prone environments; low complexity multiple description coding; motion vectors; multiple description base layers; multiple description scalable coding method; reasonable redundancy; residual data downsampling; robust transmission; robust video communication; scalable extension; scalable video coding extension; temporal splitting; Automatic voltage control; Bandwidth; Decoding; Educational institutions; Rate-distortion; Resilience; Robustness; Scalability; Static VAr compensators; Video coding; multiple description coding; residual downsampling; scalable video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Picture Coding Symposium, 2009. PCS 2009
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4244-4593-6
  • Electronic_ISBN
    978-1-4244-4594-3
  • Type

    conf

  • DOI
    10.1109/PCS.2009.5167458
  • Filename
    5167458