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This paper presents a region-based model for salient object detec-
tion. The model is defined as a combination of saliency maps con-
structed on a hierarchy of image partitions. The saliency map at each
level in the hierarchy takes into account the color similarity between
each region and its neighbors and highlights objects at the scale de-
fined by the partition, with accurate boundaries. Experimental re-
sults on a publicly available dataset show that the proposed model
outperforms many state-of-the-art saliency methods.
CitationVilaplana, V.; Muntaner, G. Salient object detection on a hierarchy of image partitions. A: IEEE International Conference on Image Processing. "Proceedings 2013 IEEE International Conference on Image Processing". Melbourne: 2013, p. 3317-3320.
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