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Mining and cropping common objects from images
2010
Proceedings of the international conference on Multimedia - MM '10
Discovering common objects that appear frequently in a number of images is a challenging problem, due to (1) the appearance variations of the same common object and (2) the enormous computational cost involved in exploring the huge solution space, including the location, scale, and the number of common objects. We characterize each image as a collection of visual primitives and propose a novel bottomup approach to gradually prune local primitives to recover the whole common object. A
doi:10.1145/1873951.1874127
dblp:conf/mm/ZhaoY10
fatcat:dahaytnzena6tnnn3lb6hawnba