SUN: A Bayesian framework for saliency using natural statistics

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ID: 111428
2008
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Abstract
We propose a definition of saliency by considering what the visual system is trying to optimize when directing attention. The resulting model is a Bayesian framework from which bottom-up saliency emerges naturally as the self-information of visual features, and overall saliency (incorporating top-do …
Reference Key
l2008journalsun: Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zhang L;Tong MH;Marks TK;Shan H;Cottrell GW;;
Journal journal of vision
Year 2008
DOI
DOI not found
URL
https://www.ncbi.nlm.nih.gov/pubmed/19146264
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine research support non-u.s. gov't u.s. gov't non-p.h.s. N.I.H. Extramural Comparative Study pmid:19146264 pmc7360059 doi:10.1167/8.7.32 lingyun zhang matthew h tong garrison w cottrell attention / physiology* bayes theorem* computer simulation* eye movements / physiology* visual perception / physiology*

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