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Image Signature: Highlighting Sparse Salient Regions

Authors
Hou, XiaodiHarel, JonathanKoch, Christof
Issue Date
1월-2012
Publisher
IEEE COMPUTER SOC
Keywords
Saliency; visual attention; change blindness; sign function; sparse signal analysis
Citation
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v.34, no.1, pp.194 - 201
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
Volume
34
Number
1
Start Page
194
End Page
201
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/109198
DOI
10.1109/TPAMI.2011.146
ISSN
0162-8828
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 competitors on the Bruce and Tsotsos [1] benchmark data set and does so in much shorter running time. In a related experiment, we demonstrate with a change blindness data set 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 [2] descriptor methods.
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