• DocumentCode
    2290881
  • Title

    Fast weighted algorithms for bitstream extraction of SVC Medium-Grain scalable video coding

  • Author

    Li, Ruiheng ; Sun, Jun ; Gao, Wen

  • Author_Institution
    Sch. of Inf., Grad. Univ. of Chinese Acad. of Sci., Beijing, China
  • fYear
    2010
  • fDate
    19-23 July 2010
  • Firstpage
    249
  • Lastpage
    254
  • Abstract
    The Medium-Granular scalable (MGS) technologies in H.264/AVC-based scalable video coding (SVC) provide a flexible foundation to accommodate different network capacities. In order to make use of MGS in multiple environments conveniently, we need to obtain the Rate Distortion (R-D) function of SVC and design efficient bitstream extractions. In this paper, we proposed a simple and effective distortion model to estimate the reconstruction distortion with drift error. Based on the model, a simple and fast weight-based priority setting algorithm is designed to achieve optimal R-D performance in MGS bitstream extractions. A smooth extraction algorithm is also provided for smooth quality substream extraction. Extensive experiments show the accuracy of the new R-D models and the effectiveness of the proposed extraction algorithms.
  • Keywords
    feature extraction; rate distortion theory; smoothing methods; video coding; H.264/AVC; bitstream extraction; fast weighted algorithm; medium-grain scalable video coding; quality substream extraction; rate distortion function; reconstruction distortion; smooth extraction algorithm; weight-based priority setting algorithm; Algorithm design and analysis; Arrays; Bit rate; Computational modeling; Encoding; Scheduling algorithm; Static VAr compensators; MGS; R-D model; SVC; optimal extraction; smooth extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo (ICME), 2010 IEEE International Conference on
  • Conference_Location
    Suntec City
  • ISSN
    1945-7871
  • Print_ISBN
    978-1-4244-7491-2
  • Type

    conf

  • DOI
    10.1109/ICME.2010.5583313
  • Filename
    5583313