• DocumentCode
    3373865
  • Title

    Video streaming using standard-compatible scalable multiple description coding based on SVC

  • Author

    Zhao, Zhijie ; Ostermann, Joern

  • Author_Institution
    Inst. fuer Informationsverarbeitung, Leibniz Univ. Hannover, Hannover, Germany
  • fYear
    2010
  • fDate
    26-29 Sept. 2010
  • Firstpage
    1293
  • Lastpage
    1296
  • Abstract
    In this paper, a scalable multiple description video coding method based on the scalable video extension of H.264/AVC (SVC) is presented. The proposed scheme employs a standard SVC encoder to generate several bit streams which have different bit rates. The spatial enhancement layers of these bit streams are quantized in an unbalanced fashion, while the spatial base layers are coded with the same quantization step size. Balanced multiple scalable descriptions are generated by mixing the pre-encoded scalable bit streams. Each description alone is totally decodable by a standard SVC decoder. A preprocessor before a SVC decoder is employed to extract the packets from the highest quality bit stream. The experimental results show that our proposed scheme achieves improvements of 3.5dB and 3.9dB when compared to the methods based on spatial downspamling and temporal downsampling at 10% packet loss rate.
  • Keywords
    decoding; image enhancement; image sampling; video coding; video streaming; H.264/AVC; SVC decoder; quantization step size; spatial downspamling; spatial enhancement layer; standard-compatible scalable multiple description coding; temporal downsampling; video coding; video streaming; Bit rate; Decoding; Image coding; Quantization; Scalability; Static VAr compensators; Streaming media; SVC; Video streaming; multiple description coding; unbalanced quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2010 17th IEEE International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4244-7992-4
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2010.5653989
  • Filename
    5653989