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Saliency detection based on proto-objects and topic model

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5 Author(s)
Zhidong Li ; Nat. ICT Australia, Univ. of New South Wales, Sydney, NSW, Australia ; Jie Xu ; Yang Wang ; Geers, G.
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This paper proposes a novel computational framework for saliency detection, which integrates the saliency map computation and proto-objects detection. The proto-objects are detected based on the saliency map using latent topic model. The detected proto-objects are then utilized to improve the saliency map computation. Extensive experiments are performed on two publicly available datasets. The experimental results show that the proposed framework outperforms the state-of-art methods.

Published in:

Applications of Computer Vision (WACV), 2011 IEEE Workshop on

Date of Conference:

5-7 Jan. 2011