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

Zhen Liang; Hong Fu; Zheru Chi; Dagan Feng

doi:10.1117/1.JEI.21.1.013012

22 March 2012 Hypergraph-based saliency map generation with potential region-of-interest approximation and validation

Zhen Liang, Hong Fu, Zheru Chi, Dagan Feng

Author Affiliations +

Journal of Electronic Imaging, Vol. 21, Issue 1, 013012 (March 2012). https://doi.org/10.1117/1.JEI.21.1.013012

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

Published: 22 March 2012

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