Image Saliency Detection Using Image Signatures
2016-12-12
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We introduce a simple image descriptor referred to as the image
signature. We show, within the theoretical framework of sparse signal mixing, that
this quantity spatially approximates the foreground of an image. We
experimentally investigate whether this approximate foreground overlaps with
visually conspicuous image locations by developing a saliency algorithm based on
the image signature. This saliency algorithm predicts human fixation points best
among competitors on the Bruce and Tsotsos [1] benchmark data set and does so
in much shorter running time.
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