会议论文

Xie, Yulin

Lu, Huchuan

2011-09-11

EI、CPCI-S、Scopus

A

645-648

Saliency detection; Bayesian framework; coarse to fine strategy; prior distribution

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.