• DocumentCode
    329938
  • Title

    Face-based visually-optimized image sequence coding

  • Author

    Daly, Scott ; Matthews, Kristine ; Ribas-Corbera, Jordi

  • Author_Institution
    Sharp Lab. of America, USA
  • fYear
    1998
  • fDate
    4-7 Oct 1998
  • Firstpage
    443
  • Abstract
    We have developed a coding technique which exploits characteristics of the human visual system to allocate more bits to the region in which a viewer is most likely, and assumed, to be looking. We focus on applications, such as video phone and video teleconferencing, in which the regions of interest are those containing human faces. Our approach encodes the video frames more efficiently than uniform quantization and can be used to significantly reduce the encoding bit rate or to improve the perceived image quality for a given bit budget. The method consists of the following: face detection and tracking, local visual-sensitivity determination, and quantizer control
  • Keywords
    data compression; face recognition; image recognition; image sequences; optimisation; quantisation (signal); teleconferencing; tracking; video coding; videotelephony; visual perception; bit budget; encoding bit rate reduction; face detection; face tracking; human faces; human visual system; local visual-sensitivity determination; perceived image quality; quantizer control; regions of interest; uniform quantization; video compression; video frame coding; video phone; video teleconferencing; visually-optimized image sequence coding; Bit rate; Face detection; Head; Humans; Image coding; Image quality; Image sequences; Quantization; Teleconferencing; Video compression; Visual system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-8186-8821-1
  • Type

    conf

  • DOI
    10.1109/ICIP.1998.727233
  • Filename
    727233