• DocumentCode
    1656854
  • Title

    Content adaptive quantization scheme based on visual perception for video coding

  • Author

    Zheng Han ; Kun Tang ; Huijuan Cui

  • Author_Institution
    Dept. of Electron. Eng., Tsinghua Univ., Beijing
  • fYear
    2008
  • Firstpage
    1267
  • Lastpage
    1270
  • Abstract
    This paper proposes a new quantization scheme which fully exploits the human visual perception and the local eye sensitivity characteristic in two layers. This new quantization scheme classifies macro-blocks into different categories and classifies frequency coefficients in the same block into different frequency strips, then adjusts the quantization parameter according to different categories or strips to reserve more sensitive details of video. Experiments results show that the new quantization scheme can achieve better subjective video quality with lower bitrates.
  • Keywords
    data compression; image classification; quantisation (signal); video coding; visual perception; content adaptive quantization scheme; human visual perception; macro-block classification; video coding; Eyes; Frequency; Humans; Laboratories; Quantization; Strips; Video coding; Video sequences; Visual perception; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 2008. ICSP 2008. 9th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-2178-7
  • Electronic_ISBN
    978-1-4244-2179-4
  • Type

    conf

  • DOI
    10.1109/ICOSP.2008.4697362
  • Filename
    4697362