Abstract


= PDF Reprint,     = BibTeX entry,     = Online Abstract


Click to download PDF version Click to download BibTeX data Clik to view abstract L. Itti, Models of Bottom-Up Attention and Saliency, In: Neurobiology of Attention, (L. Itti, G. Rees, J. K. Tsotsos Ed.), pp. 576-582, San Diego, CA:Elsevier, Jan 2005.

Abstract: Visually conspicuous, or so-called salient, stimuli often have the capability of attracting focal visual attention towards their locations. Several computational architectures subserving this bottom-up, stimulus-driven, spatiotemporal deployment of attention are reviewed in this article. The resulting computational models have applications not only to the prediction of visual search psychophysics, but also, in the domain of machine vision, to the rapid selection of regions of interest in complex, cluttered visual environments. We describe an unusal such application, to the objective evaluation of advertising designs.

Themes: Model of Bottom-Up Saliency-Based Visual Attention, Human Psychophysics, Computational Modeling

 

Copyright © 2000-2007 by the University of Southern California, iLab and Prof. Laurent Itti.
This page generated by bibTOhtml on Wed Feb 15 12:13:56 PST 2017