Co-Saliency Detection via Co-Salient Object Discovery and Recovery

@article{Ye2015CoSaliencyDV,
  title={Co-Saliency Detection via Co-Salient Object Discovery and Recovery},
  author={Linwei Ye and Zhi Liu and Junhao Li and Wan-Lei Zhao and Liquan Shen},
  journal={IEEE Signal Processing Letters},
  year={2015},
  volume={22},
  pages={2073-2077}
}
This letter proposes a novel co-saliency model to effectively discover and highlight co-salient objects in a set of images. Based on the gross similarity which combines color features and SIFT descriptors, some co-salient object regions are first discovered in each image as exemplars, which are exploited to generate the exemplar saliency maps with the use of single-image saliency model. Then both local recovery and global recovery of co-salient object regions are performed by propagating the… CONTINUE READING

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