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Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency

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Attention in Cognitive Systems (WAPCV 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5395))

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Abstract

In prior work, we put forth a model of visual saliency motivated by information theoretic considerations [1]. In this effort we consider how this proposal extends to explain saliency in the spatiotemporal domain and further, propose a distributed representation for visual saliency comprised of localized hierarchical saliency computation. Evidence for the efficacy of the proposal in capturing aspects of human behavior is achieved via comparison with eye tracking data and a discussion of the role of neural coding in the determination of saliency suggests avenues for future research.

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Author information

Authors and 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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Editor information

Editors and Affiliations

  1. Joanneum Research, Graz, Austria

    Lucas Paletta

  2. Center for Vision Research (CVR) and, Department of Computer Science and Engineering, York University, 4700 Keele St., ON M3J 1P3, Toronto, Canada

    John K. Tsotsos

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Bruce, N.D.B., Tsotsos, J.K. (2009). Spatiotemporal Saliency: Towards a Hierarchical Representation of Visual Saliency. In: Paletta, L., Tsotsos, J.K. (eds) Attention in Cognitive Systems. WAPCV 2008. Lecture Notes in Computer Science(), vol 5395. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-00582-4_8

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  • DOI: https://doi.org/10.1007/978-3-642-00582-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-00581-7

  • Online ISBN: 978-3-642-00582-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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