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VISUAL SALIENCY DETECTION BASED ON BAYESIAN MODEL

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Indexed by:会议论文

Date of Publication:2011-09-11

Included Journals:EI、CPCI-S、Scopus

Page Number:645-648

Key Words:Saliency detection; Bayesian framework; coarse to fine strategy; prior distribution

Abstract:Image saliency detection is very useful in many computer vision tasks while it still remains a challenging problem. In this paper, we propose a new computational saliency detection model which is implemented with a coarse to fine strategy under the Bayesian framework. First, saliency points are applied to get a coarse location of the saliency region. And then, based on the rough region, we compute a prior map for the Bayesian model to achieve the final saliency map. Experimental results on a public available dataset show the effectiveness of the proposed prior map and the strength of our saliency map compared with several previous method.

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