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Saliency detection based on extended boundary prior with foci of attention | IEEE Conference Publication | IEEE Xplore

Saliency detection based on extended boundary prior with foci of attention


Abstract:

In this paper, we propose a novel bottom-up paradigm for detecting visual saliency. Regarding the boundary as potential background (boundary prior), we firstly transfer t...Show More

Abstract:

In this paper, we propose a novel bottom-up paradigm for detecting visual saliency. Regarding the boundary as potential background (boundary prior), we firstly transfer the input color image into a graph with additional four virtual nodes. With a new type of edge called feature edge defined considering both color information and spatial distribution, geodesic saliency measure is used to obtain four saliency maps. Then a combination strategy of four maps is proposed, rendering a uniform saliency map to better suppress background and avoid over-suppression of salient object. Finally, we introduce a way of determining foci of attention based on maximal deviation from norm (MDN) to enhance the quality of saliency map. Experimental results on a benchmark dataset demonstrate the better performance of our proposed approach compared with several state-of-art methods.
Date of Conference: 04-09 May 2014
Date Added to IEEE Xplore: 14 July 2014
Electronic ISBN:978-1-4799-2893-4

ISSN Information:

Conference Location: Florence, Italy

References

References is not available for this document.