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论文类型：会议论文

发表时间：2011-09-11

收录刊物：EI、CPCI-S、Scopus

页面范围：645-648

关键字：Saliency detection; Bayesian framework; coarse to fine strategy; prior distribution

摘要：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.