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VISUAL SALIENCY DETECTION BASED ON BAYESIAN MODEL

Release Time:2019-03-11  Hits:

Indexed by: Conference Paper

Date of Publication: 2011-09-11

Included Journals: Scopus、CPCI-S、EI

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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