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International Workshop on Attention in Cognitive Systems

WAPCV 2007: Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint pp 171–183Cite as

An Information Theoretic Model of Saliency and Visual Search

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Part of the Lecture Notes in Computer Science book series (LNAI,volume 4840)

Abstract

In this paper, a proposal which quantifies visual saliency based on an information theoretic definition is evaluated with respect to visual psychophysics paradigms. Analysis reveals that the proposal explains a broad range of results from classic visual search tasks, including many for which only specialized models have had success. As a whole, the results provide strong behavioral support for a model of visual saliency based on information, supplementing earlier work revealing the efficacy of the approach in predicting primate fixation data.

Keywords

  • Attention
  • Visual Search
  • Saliency
  • Information Theory
  • Fixation
  • Entropy

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  • DOI: 10.1007/978-3-540-77343-6_11
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Author information

Affiliations

  1. Department of Computer Science and Engineering and, Centre for Vision Research, York University, Toronto, ON, Canada

    Neil D. B. Bruce & John K. Tsotsos

Authors
  1. Neil D. B. Bruce
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  2. John K. Tsotsos
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© 2007 Springer-Verlag Berlin Heidelberg

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Bruce, N.D.B., Tsotsos, J.K. (2007). An Information Theoretic Model of Saliency and Visual Search. In: Paletta, L., Rome, E. (eds) Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint. WAPCV 2007. Lecture Notes in Computer Science(), vol 4840. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77343-6_11

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  • DOI: https://doi.org/10.1007/978-3-540-77343-6_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-77342-9

  • Online ISBN: 978-3-540-77343-6

  • eBook Packages: Computer ScienceComputer Science (R0)