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Pop-Out: A New Cognitive Model of Visual Attention That Uses Light Level Analysis to Better Mimic the Free-Viewing Task of Static Images
Author(s) -
Makiese Mibulumukini
Publication year - 2015
Publication title -
advances in artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 1687-7489
pISSN - 1687-7470
DOI - 10.1155/2015/471483
Subject(s) - computer science , gaze , task (project management) , process (computing) , artificial intelligence , cognition , visual attention , measure (data warehouse) , computer vision , image (mathematics) , cognitive psychology , human–computer interaction , psychology , data mining , management , neuroscience , economics , operating system
Human gaze is not directed to the same part of an image when lighting conditions change. Current saliency models do not considerlight level analysis during their bottom-up processes. In this paper, weintroduce a new saliency model which better mimics physiological andpsychological processes of our visual attention in case of free-viewing task(bottom-up process). This model analyzes lighting conditions with theaim of giving different weights to color wavelengths. The resulting saliencymeasure performs better than a lot of popular cognitive approaches

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