• DocumentCode
    2973562
  • Title

    A novel rate-quality model based H.264/AVC frame layer rate control method

  • Author

    Zhuo, Li ; Gao, Xuejuan ; Wang, Zhiyong ; Feng, David Dagan ; Shen, Lansun

  • Author_Institution
    Univ. of Sydney, Sydney
  • fYear
    2007
  • fDate
    10-13 Dec. 2007
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Rate control plays an important role in video coding and transmission. In this paper, instead of using rate- distortion (R-D) model to perform rate control as many existing methods do, a rate-quality (R-Q) model of H.264/AVC has first been proposed to represent the coding characteristics of H.264, where PSNR (peak signal-to-noise ratio) is used to represent the reconstructed video quality. Then a H.264 rate control method at frame layer has been presented based on the proposed R-Q model. In this method, the quantization parameter (i.e. quantization step) of the current frame is determined by the proposed R-Q model according to the coding statistics of the previous coded frames. The experimental results show that, compared with the rate control algorithm of JM86 reference software, the output bit rate achieved by our proposed one is more close to the target bit rate while the reconstructed quality is comparable.
  • Keywords
    image reconstruction; video coding; H.264/AVC; JM86 reference software; frame layer rate control method; peak signal-to-noise ratio; quantization parameter; rate control; rate- distortion model; rate-quality model; reconstructed video quality; video coding; video transmission; Automatic voltage control; Bit rate; MPEG 4 Standard; PSNR; Quadratic programming; Quantization; Software quality; Streaming media; Video coding; Video compression; H.264/AVC; rate control; rate-quality model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information, Communications & Signal Processing, 2007 6th International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-0982-2
  • Electronic_ISBN
    978-1-4244-0983-9
  • Type

    conf

  • DOI
    10.1109/ICICS.2007.4449677
  • Filename
    4449677