Brewer, Nathan; Liu, Nianjun; Cheng, Li; Wang, Lei
In any given scene, a human observer is typically more interested in some objects than others, and will pay more attention to those objects they are interested in. This paper aims to capture this attention focusing behavior by selectively merging a fine-scale oversegmentation of a frame so that interesting regions are segmented into smaller regions than uninteresting regions. This results in a new type of image partitioning which reflects in the image the amount of attention we pay to a...[Show more]
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