• DocumentCode
    3403557
  • Title

    A unified and complexity scalable entropy coding scheme for video compression

  • Author

    Preiss, M. ; Marpe, Detlev ; Bross, Benjamin ; George, V. ; Kirchhoffer, H. ; Tung Nguyen ; Siekmann, Mischa ; Stegemann, J. ; Wiegand, Thomas

  • Author_Institution
    Image Process. Dept., Fraunhofer Inst. for Telecommun., Berlin, Germany
  • fYear
    2012
  • fDate
    Sept. 30 2012-Oct. 3 2012
  • Firstpage
    729
  • Lastpage
    732
  • Abstract
    The state-of-the-art hybrid video coding standard H.264/AVC defines two entropy-coding schemes with different complexity-performance trade-offs. Supporting these two schemes within a single standard raises several problems ranging from higher efforts for product development to increased silicon costs for hardware implementations. To overcome these issues, this work proposes a unified and complexity-scalable entropy-coding framework that is based on PIPE/V2V. The proposed framework uses a single set of tools for all configurations and achieves the same complexity-performance trade-offs as the existing entropy-coding schemes through scalability.
  • Keywords
    data compression; entropy codes; video codecs; video coding; H.264/AVC; PIPE/V2V; complexity scalable entropy coding scheme; complexity-performance trade-offs; complexity-scalable entropy-coding framework; entropy-coding schemes; hybrid video coding standard; product development; unified scalable entropy coding scheme; video compression; Context; Context modeling; Decoding; Encoding; Hardware; Throughput; Video coding; CABAC; Entropy Coding; PIPE/V2V;
  • 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.2012.6466963
  • Filename
    6466963