• DocumentCode
    442704
  • Title

    Spatiotemporal-chromatic structure of natural scenes

  • Author

    Bergner, Steven ; Drew, Mark S.

  • Author_Institution
    Sch. of Comput. Sci., Simon Fraser Univ., Vancouver, BC, Canada
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    We investigate the implications of a unified spatiotemporal-chromatic basis for compression and reconstruction of image sequences. Different adaptive methods (PCA and ICA) are applied to generate basis functions. While typically such bases with spatial and temporal extent are investigated in terms of their correspondence to human visual perception, here we are interested in their applicability to multimedia encoding. The performance of the extracted spatiotemporal-chromatic patch bases is evaluated in terms of quality of reconstruction with respect to their potential for data compression. The results discussed here are intended to provide another path towards perceptually-based encoding of visual data by examining the interplay of chromatic features with spatiotemporal ones in data reduction.
  • Keywords
    data compression; image coding; image reconstruction; image sequences; independent component analysis; principal component analysis; ICA; PCA; human visual perception; image compression; image reconstruction; image sequences; multimedia encoding; natural scenes; perceptually-based encoding; spatiotemporal-chromatic structure; Encoding; Humans; Image coding; Image reconstruction; Image sequences; Independent component analysis; Layout; Principal component analysis; Spatiotemporal phenomena; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530051
  • Filename
    1530051