= PDF Reprint, = BibTeX entry, = Online Abstract
V. Navalpakkam, M. A. Arbib, L. Itti, Attention and Scene Understanding, In: Neurobiology of Attention, (L. Itti, G. Rees, J. K. Tsotsos Ed.), pp. 197-203, San Diego, CA:Elsevier, Jan 2005. (Cited by 33)
Abstract: This paper presents a simplified, introductory view of how visual attention may contribute to and integrate within the broader framework of visual scene understanding. Several key components are identified which cooperate with attention during the analysis of complex dynamic visual inputs, namely rapid computation of scene gist and layout, localized object recognition and tracking at attended locations, working memory that holds a representation of currently relevant targets, and long-term memory of known world entities and their inter-relationships. Evidence from neurobiology and psychophysics is provided to support the proposed architecture.
Themes: Model of Bottom-Up Saliency-Based Visual Attention, Model of Top-Down Attentional Modulation, Human Psychophysics, Computational Modeling, Scene Understanding
Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
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