Presentation 2003/1/27
Neural network model for search asymmetry in visual search task
Takahiko KOIKE, Jun SAIKI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) Using visual attention, our visual system selects important information in our environment. Some models dealt with the mechanism of attentional shift, and they could well simulate the characteristics of human performance in simple visual search tasks, e.g. pop-out search and conjunction search. However, these earlier models do not seem to be able to explain why search asymmetry in visual search occurs. Search asymmetry is likely to reflect changes in relative saliency between a target and distractors, but the earlier models with a deterministic WTA ignore relative saliency because they always shift the focus of attention solely based on the rank-order of the saliency. We proposed a stochastic saliency model, and showed that the introduction of a stochastic WTA enables the saliency-based search model to cause changes in search efficiency through stochastic shifts of attentional focus. Our proposed model also well simulates the triple-conjunction search task. This result suggests that our visual system may achieve high-speed information processing in exchange for rough and stochastic processing.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Visual attention / Visual search task / Search asymmetry / Saliency map / Stochastic WTA
Paper # NC2002-107
Date of Issue

Conference Information
Committee NC
Conference Date 2003/1/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Neural network model for search asymmetry in visual search task
Sub Title (in English)
Keyword(1) Visual attention
Keyword(2) Visual search task
Keyword(3) Search asymmetry
Keyword(4) Saliency map
Keyword(5) Stochastic WTA
1st Author's Name Takahiko KOIKE
1st Author's Affiliation Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University()
2nd Author's Name Jun SAIKI
2nd Author's Affiliation Japan Science and Technology Corporation (JST):Department of Intelligence Science and Technology, Graduate School of Informatics, Kyoto University
Date 2003/1/27
Paper # NC2002-107
Volume (vol) vol.102
Number (no) 627
Page pp.pp.-
#Pages 6
Date of Issue