nips nips2005 nips2005-169 nips2005-169-reference knowledge-graph by maker-knowledge-mining

169 nips-2005-Saliency Based on Information Maximization

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Author: Neil Bruce, John Tsotsos

Abstract: A model of bottom-up overt attention is proposed based on the principle of maximizing information sampled from a scene. The proposed operation is based on Shannon's self-information measure and is achieved in a neural circuit, which is demonstrated as having close ties with the circuitry existent in the primate visual cortex. It is further shown that the proposed saliency measure may be extended to address issues that currently elude explanation in the domain of saliency based models. Resu lts on natural images are compared with experimental eye tracking data revealing the efficacy of the model in predicting the deployment of overt attention as compared with existing efforts.

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