Saliency detection based on proto-objects and topic model

  • Authors:

  • Zhidong Li;Jie Xu;Yang Wang;Glenn Geers;Jun Yang

  • Affiliations:

  • National ICT Australia, University of New South Wales, Australia;National ICT Australia, University of New South Wales, Australia;National ICT Australia, University of New South Wales, Australia;National ICT Australia, University of New South Wales, Australia;National ICT Australia, University of New South Wales, Australia

  • Venue:
  • WACV '11 Proceedings of the 2011 IEEE Workshop on Applications of Computer Vision (WACV)
  • Year:
  • 2011

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Abstract

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.