Bottom-up saliency based on weighted sparse coding residual

@inproceedings{Han2011BottomupSB,
  title={Bottom-up saliency based on weighted sparse coding residual},
  author={Biao Han and Hao Zhu and Youdong Ding},
  booktitle={ACM Multimedia},
  year={2011}
}
The guidance of attention helps the human vision system (HVS) to detect and recognize objects rapidly. In this paper, we propose a bottom-up saliency algorithm based on sparse coding theory. Sparse coding decomposes the inputs into two parts, codes and residual. From the viewpoint of biological vision and information theory, the coding length is closely related to the local complexity while the residual is closely related to the uncertainty. The proposed algorithm defines the weighted residual… CONTINUE READING
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