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Journal of Electronic Imaging

Hypergraph-based saliency map generation with potential region-of-interest approximation and validation
Author(s): Zhen Liang; Hong Fu; Zheru Chi; Dagan Feng
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Paper 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.

Paper Details

Date Published: 22 March 2012
PDF: 5 pages
J. Electron. Imaging. 21(1) 013012 doi: 10.1117/1.JEI.21.1.013012
Published in: Journal of Electronic Imaging Volume 21, Issue 1
Show Author Affiliations
Zhen Liang, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Hong Fu, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Zheru Chi, The Hong Kong Polytechnic Univ. (Hong Kong, China)
Dagan Feng, The Univ. of Sydney (Australia)


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