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Hypergraph-based saliency map generation with potential region-of-interest approximation and validation

[+] Author Affiliations
Zhen Liang, Zheru Chi

The Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Center for Multimedia Signal Processing, Hung Hom, Kowloon, Hong Kong

Hong Fu

The Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Center for Multimedia Signal Processing, Hung Hom, Kowloon, Hong Kong

Chu Hai College of Higher Education, Department of Computer Science, Hong Kong

Dagan Feng

The Hong Kong Polytechnic University, Department of Electronic and Information Engineering, Center for Multimedia Signal Processing, Hung Hom, Kowloon, Hong Kong

The University of Sydney, School of Information Technologies, Sydney, Australia

J. Electron. Imaging. 21(1), 013012 (Mar 22, 2012). doi:10.1117/1.JEI.21.1.013012
History: Received July 18, 2011; Revised January 9, 2012; Accepted February 2, 2012
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Abstract.  A novel saliency model is proposed in this paper to automatically process images in the similar way as the human visual system which focuses on conspicuous regions that catch human beings’ attention. The model combines a hypergraph representation and a partitioning process with potential region-of-interest (p-ROI) approximation and validation. Experimental results demonstrate that the proposed method shows considerable improvement in the performance of saliency map generation.

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© 2012 SPIE and IS&T

Citation

Zhen Liang ; Hong Fu ; Zheru Chi and Dagan Feng
"Hypergraph-based saliency map generation with potential region-of-interest approximation and validation", J. Electron. Imaging. 21(1), 013012 (Mar 22, 2012). ; http://dx.doi.org/10.1117/1.JEI.21.1.013012


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