• DocumentCode
    1799556
  • Title

    Saliency based perceptual HEVC

  • Author

    Yiming Li ; Weihang Liao ; Junming Huang ; Da He ; Zhenzhong Chen

  • Author_Institution
    Wuhan Univ., Wuhan, China
  • fYear
    2014
  • fDate
    14-18 July 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Saliency represents the probability of human attention over the image therefore is important in understanding the importance of different areas in the image. In this paper, we consider how to utilize the saliency information in HEVC video coding. The graph-based visual saliency is incorporated with the quantization control in HEVC to reduce the bit rate of compressed video by using larger quantization parameter for the coding unit which has lower probability of attention. As shown in our experiments, the proposed method achieves up to 12% bit rate reduction without perceptual quality loss.
  • Keywords
    graph theory; quantisation (signal); video coding; HEVC video coding; graph based visual saliency; human attention; perceptual quality; quantization control; quantization parameter; saliency based perceptual HEVC; saliency information; Bit rate; Circuits and systems; Encoding; Quantization (signal); Transform coding; Video coding; Visualization; HEVC; quantization parameter; saliency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia and Expo Workshops (ICMEW), 2014 IEEE International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    1945-7871
  • Type

    conf

  • DOI
    10.1109/ICMEW.2014.6890644
  • Filename
    6890644