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Image saliency: From intrinsic to extrinsic context
2011
CVPR 2011
We propose a novel framework for automatic saliency estimation in natural images. We consider saliency to be an anomaly with respect to a given context that can be global or local. In the case of global context, we estimate saliency in the whole image relative to a large dictionary of images. Unlike in some prior methods, this dictionary is not annotated, i.e., saliency is assumed unknown. In the case of local context, we partition the image into patches and estimate saliency in each patch
doi:10.1109/cvpr.2011.5995743
dblp:conf/cvpr/WangKIJR11
fatcat:vqjfii7znzfynayrkuokykkh5a