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Cited by 834

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Image Signature: Highlighting Sparse Salient Regions

Xiaodi Hou, Harel, J., Koch, C.·2012·IEEE Transactions on Pattern Analysis and Machine Intelligence

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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Metadata

Authors
Hou, X., Harel, J., & Koch, C.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
2012-01
Volume
34
Issue
1
Pages
194-201
ISSN
  • 0162-8828 (ISSN-L)
  • 2160-9292
OpenAlex
W2037328649
Cited by
834
References
2
FWCI
55.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Image Signature: Highlighting Sparse Salient Regions. https://app.cochat.ai/papers/10.1109/tpami.2011.146
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Hou, X., Harel, J., & Koch, C. (2012). Image Signature: Highlighting Sparse Salient Regions. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2011.146

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