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- W2185390786 abstract "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 GBVS (Graph based visual saliency), Itti/Koch saliency map and sun saliency does so in much shorter running time. And we experimentally investigate that the distance between images induced by the image signature is closer to human perceptual distance than can be achieved using other saliency algorithms, pixel-wise, or GIST descriptor methods." @default.
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- W2185390786 date "2014-01-01" @default.
- W2185390786 modified "2023-09-27" @default.
- W2185390786 title "SALIENCY BASED ADAPTIVE IMAGE SIGNATURE USING BINARY HOLISTIC IMAGE DESCRIPTOR" @default.
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