• DocumentCode
    2342654
  • Title

    Visual Representation in the Determination of Saliency

  • Author

    Bruce, Neil D B ; Shi, Xun ; Simine, Evgueni ; Tsotsos, John K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
  • fYear
    2011
  • fDate
    25-27 May 2011
  • Firstpage
    242
  • Lastpage
    249
  • Abstract
    In this paper, we consider the role that visual representation plays in determining the behavior of a generic model of visual salience. There are a variety of different representations that have been employed to form an early visual representation of image structure. The experiments presented demonstrate that the choice of representation has an appreciable effect on the system behavior. The reasons for these differences are discussed, and generalized to implications for vision systems in general. In instances where a design choice is arbitrary, we look to the properties of visual representation in early visual processing in humans for answers. The results as a whole demonstrate the importance of filter choice and highlight some desirable properties of log-Gabor filters.
  • Keywords
    Gabor filters; filtering theory; image representation; filter choice; image structure; linear filtering; log-Gabor filters; saliency determination; visual representation; visual salience generic model; Bandwidth; Humans; Labeling; Pixel; Prediction algorithms; Videos; Visualization; Gabor filters; linear filtering; salience; saliency; visual representation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Robot Vision (CRV), 2011 Canadian Conference on
  • Conference_Location
    St. Johns, NL
  • Print_ISBN
    978-1-61284-430-5
  • Electronic_ISBN
    978-0-7695-4362-8
  • Type

    conf

  • DOI
    10.1109/CRV.2011.39
  • Filename
    5957567