• DocumentCode
    3410752
  • Title

    RD optimized bitstream extraction for H.264/SVC based video streaming

  • Author

    Palaniappan, Ramaswamy ; Jayant, N.

  • Author_Institution
    Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA, USA
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    2241
  • Lastpage
    2244
  • Abstract
    Heterogeneity of the Internet and clients´ operating environment necessitate the adaptation of media content to ensure a satisfactory multimedia experience. Scalable video coding (SVC) is a layer-based encoding scheme that achieves this adaptation through the extraction of partial bitstreams at reduced spatial, quality and temporal resolutions. The main focus of this paper is in developing such an extraction algorithm in the context of video streaming applications. Based on a combination of metadata computations and prediction mechanisms, our algorithm evaluates the quality contribution of each layer in the SVC bitstream and makes extraction decisions that are aimed at maximizing video quality while operating within the available bandwidth resources. When compared to earlier extraction methods such as JSVM-Basic and JSVM-QL, our algorithm offers a quality gain of 1.6 dB and 0.5 dB respectively. The proposed technique also achieves a 73% reduction in metadata computation time when compared to JSVM-QL.
  • Keywords
    Internet; feature extraction; meta data; multimedia computing; video coding; video streaming; H.264/SVC based video streaming; Internet; RD optimized bitstream extraction; SVC; feature extraction algorithm; media content adaptation; metadata computations; multimedia experience; scalable video coding; video streaming applications; Bit rate; Decoding; PSNR; Quality assessment; Static VAr compensators; Streaming media; Video recording; Bitrate adaptation; Bitstream extraction; H.264/SVC; Scalable video coding; Video streaming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2012 19th IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • ISSN
    1522-4880
  • Print_ISBN
    978-1-4673-2534-9
  • Electronic_ISBN
    1522-4880
  • Type

    conf

  • DOI
    10.1109/ICIP.2012.6467341
  • Filename
    6467341