Denoising saliency map for region of interest extraction

Authors:
Yandong Guo;Xiaodong Gu;Zhibo Chen;Quqing Chen;Charles Wang
Affiliations:
Thomson Corporate Research, Beijing;Thomson Corporate Research, Beijing;Thomson Corporate Research, Beijing;Thomson Corporate Research, Beijing;Thomson Corporate Research, Beijing
Venue:
VISUAL'07 Proceedings of the 9th international conference on Advances in visual information systems
Year:
2007

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Abstract

The inherent noises can significantly degrade the accuracy of the attention area detection. In this paper, we present a novel structure of hybrid filter for suppressing noises in saliency maps which is viewed as a preliminary step towards the solution of automatic video region-of-interest determination. The filter presented in our paper makes use of the property of saliency maps and can remove almost all the Gauss noise and pepper-salt noise while preserve the details of attention area. Experimental results demonstrate the efficiency and effectiveness of our approach in extracting the region of interest.