Visual attention: low-level and high-level viewpoints

Fred W. M. Stentiford

doi:10.1117/12.923511

30 April 2012 Visual attention: low-level and high-level viewpoints

Fred W. M. Stentiford

Proceedings Volume 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II; 84360L (2012) https://doi.org/10.1117/12.923511
Event: SPIE Photonics Europe, 2012, Brussels, Belgium

Abstract

This paper provides a brief outline of the approaches to modeling human visual attention. Bottom-up and top-down mechanisms are described together with some of the problems that they face. It has been suggested in brain science that memory functions by trading measurement precision for associative power; sensory inputs from the environment are never identical on separate occasions, but the associations with memory compensate for the differences. A graphical representation for image similarity is described that relies on the size of maximally associative structures (cliques) that are found to reflect between pairs of images. This is applied to the recognition of movie posters, the location and recognition of characters, and the recognition of faces. The similarity mechanism is shown to model popout effects when constraints are placed on the physical separation of pixels that correspond to nodes in the maximal cliques. The effect extends to modeling human visual behaviour on the Poggendorff illusion.

Citation Download Citation

Fred W. M. Stentiford "Visual attention: low-level and high-level viewpoints", Proc. SPIE 8436, Optics, Photonics, and Digital Technologies for Multimedia Applications II, 84360L (30 April 2012); https://doi.org/10.1117/12.923511

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