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Visual saliency estimation using support value transform
Weibin Yang1; Bin Fang1; Yuan Yan Tang1,2; Zhaowei Shang1; Hengjun Zhao1
2012-12-01
Conference Name2012 19th IEEE International Conference on Image Processing
Source PublicationProceedings - International Conference on Image Processing, ICIP
Pages1069-1072
Conference Date30 Sept.-3 Oct. 2012
Conference PlaceOrlando, FL
CountryUSA
PublisherIEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Abstract

This paper proposes a novel method for estimating visual saliency based on a typical agreement that image saliency depends mainly on local and global contrast from various feature channels. We compute the contrast between image patches on different low-level feature maps which are generated by color space conversion and support value transform. To obtain the representative measurement effectively, we calculate the dissimilarity in a reduced dimensional principal component space. In addition, our method may be easily extended for more conspicuous feature channels in an efficient manner. Experimental results on two public available human eye fixation datasets demonstrate that our method outperforms other seven state-of-the-art saliency models. 

KeywordCentral Bias Dimensionality Reduction Human Fixation Support Value Transform Visual Saliency
DOIhttps://doi.org/10.1109/ICIP.2012.6467048
URLView the original
Indexed BySCI
Language英语
WOS Research AreaImaging Science & Photographic Technology
WOS SubjectImaging Science & Photographic Technology
WOS IDWOS:000319334901037
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Document TypeConference paper
专题DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Affiliation1.School of Computer Science, Chongqing University, China
2.Department of Computer and Information Science, University of Macau, Macau
推荐引用方式
GB/T 7714
Weibin Yang,Bin Fang,Yuan Yan Tang,et al. Visual saliency estimation using support value transform[C]:IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA,2012:1069-1072.
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