• DocumentCode
    1937173
  • Title

    An approach to 3D scalable multiple description video coding with content delivery networks

  • Author

    Yu, Mei ; Wenqin, Zhang ; Jiang, Gangyi ; Zhu Yin

  • Author_Institution
    Fac. of Inf. Sci. & Eng., Ningbo Univ., China
  • fYear
    2005
  • fDate
    28-30 May 2005
  • Firstpage
    191
  • Lastpage
    194
  • Abstract
    With content delivery networks (CDN) techniques, a new approach to multiple description video scalable coding is proposed using 3D wavelet decomposition based on polyphase downsampling. A video source is divided into four balanced descriptions, which are distributed across the edge servers in the CDN, and each description is independently encoded using a 3D set partitioning in hierarchical trees algorithm. At the receiver, different post-processing methods of error concealment are used to obtain reconstructed video with high quality from the received descriptions, even if only one description is received. The proposed approach avoids the mismatch problem in multiple description video coding (MDVC), and it has high scalability and can improve the robustness of video transmission over unreliable networks. Experimental results show that the proposed scheme is feasible and effective.
  • Keywords
    image reconstruction; image sampling; transform coding; video coding; wavelet transforms; 3D scalable multiple description video coding; 3D wavelet decomposition; content delivery networks technique; error concealment post-processing method; hierarchical trees algorithm; polyphase downsampling; reconstructed video; video source; Decoding; IP networks; Information science; Laboratories; Network servers; Partitioning algorithms; Robustness; Scalability; Streaming media; Video coding;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI Design and Video Technology, 2005. Proceedings of 2005 IEEE International Workshop on
  • Print_ISBN
    0-7803-9005-9
  • Type

    conf

  • DOI
    10.1109/IWVDVT.2005.1504583
  • Filename
    1504583