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Salient object detection for searched web images via global saliency
2012
2012 IEEE Conference on Computer Vision and Pattern Recognition
In this paper, we deal with the problem of detecting the existence and the location of salient objects for thumbnail images on which most search engines usually perform visual analysis in order to handle web-scale images. Different from previous techniques, such as sliding windowbased or segmentation-based schemes for detecting salient objects, we propose to use a learning approach, random forest in our solution. Our algorithm exploits global features from multiple saliency information to
doi:10.1109/cvpr.2012.6248054
dblp:conf/cvpr/WangWZFZL12
fatcat:e4klofoazjdy5p4nz3zhy7uvyu