Salient object detection via background contrast

Quan Zhou; Nianyi Li; Jianxin Chen; Shu Cai; Longin Jan Latecki

ICASSP 2015accepted0 citations

Salient object detection via background contrast

Quan Zhou, Nianyi Li, Jianxin Chen, Shu Cai, Longin Jan Latecki

Abstract

This paper addresses the problem of salient object detection. We introduce a novel framework which aims to automatically identify salient regions in natural images based on two key ideas. The first one is to consider the statistical spatial distribution of saliency and non-saliency regions as two complementary processes. The second one is based on the assumption that contrast saliency with respect to background regions outperforms those with respect to entire image. Experimental results demonstrate the effectiveness of our approach over 12 state-of-the-art models.

BibTeX

@inproceedings{icassp2015_salientobjectdet,
  title = {Salient object detection via background contrast},
  author = {Quan Zhou and Nianyi Li and Jianxin Chen and Shu Cai and Longin Jan Latecki},
  booktitle = {ICASSP 2015},
  year = {2015}
}