• DocumentCode
    485340
  • Title

    An adaptive leaky factor determination algorithm for AR-FGS

  • Author

    Deng Yun ; Peng Qiang ; Zhu Chang-qian

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    540
  • Lastpage
    543
  • Abstract
    Leaky prediction is adopted by AR-FGS (FGS with Adaptive Reference) in the emerging standard H.264 SVC to improve the coding efficiency in low-delay applications. Leaky factor is critical to leaky prediction performance and the optimal leaky factor is close dependent on sequence content. However, no method has been proposed to determine the optimal factor. This paper proposes a flexible method that dynamically determines the optimal leaky factor for each frame through previous bit-rate of coded base layer. Combined with slightly modified bit-stream extraction procedure of JSVM, a better tradeoff between coding efficiency and drifting reduction is achieved, and the coding performance is further improved compared with using fixed leaky factor. Experiment results show that the proposed algorithm improves the coding efficiency over a wide range of bit-rates. Additionally, as a bit-rate control method, the modified extraction method has stable control on the bit-rate at frame level.
  • Keywords
    image reconstruction; video coding; AR-FGS; H.264 SVC video coding; adaptive leaky factor determination; adaptive reference-fine granular scalability; coding efficiency; drifting reduction; joint scalable video model; FGS (Fine Granular Scalable); joint scalable video model (JSVM); leaky prediction; video coding;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless, Mobile and Sensor Networks, 2007. (CCWMSN07). IET Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0537-9989
  • Print_ISBN
    978-0-86341-836-5
  • Type

    conf

  • Filename
    4786258