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|a 10.1109/TIP.2011.2156803
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|a eng
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|a Li, Hongliang
|e verfasserin
|4 aut
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|a A co-saliency model of image pairs
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|c 2011
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|a Text
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|a ƒaComputermedien
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|a ƒa Online-Ressource
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|a Date Completed 19.03.2012
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|a Date Revised 22.11.2011
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2011 IEEE
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|a In this paper, we introduce a method to detect co-saliency from an image pair that may have some objects in common. The co-saliency is modeled as a linear combination of the single-image saliency map (SISM) and the multi-image saliency map (MISM). The first term is designed to describe the local attention, which is computed by using three saliency detection techniques available in literature. To compute the MISM, a co-multilayer graph is constructed by dividing the image pair into a spatial pyramid representation. Each node in the graph is described by two types of visual descriptors, which are extracted from a representation of some aspects of local appearance, e.g., color and texture properties. In order to evaluate the similarity between two nodes, we employ a normalized single-pair SimRank algorithm to compute the similarity score. Experimental evaluation on a number of image pairs demonstrates the good performance of the proposed method on the co-saliency detection task
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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| 700 |
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|a Ngan, King Ngi
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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|g 20(2011), 12 vom: 15. Dez., Seite 3365-75
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|g pages:3365-75
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