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Proceedings Paper

Visual saliency detection using local patches contrast
Author(s): Zhao-xia Xie; Yan-ping Du; Hai-ming Lu; Zi-jing Yang
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Paper Abstract

Human vision system possesses a strong ability to interpret complex scenes in real time effortlessly and efficiently. However, computational modeling of basic intelligent behavior still remains a significant challenge in the fields of computer vision system. Different from context-aware saliency algorithm, our method for saliency detection, not only using basic properties of visual attention but also introducing local patches contrast cues, thus it can effectively improve the accuracy of visual saliency detection with relatively low computational complexity. Furthermore, the experimental results also indicate that the effectiveness of our proposed method.

Paper Details

Date Published: 21 July 2017
PDF: 5 pages
Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042016 (21 July 2017); doi: 10.1117/12.2282092
Show Author Affiliations
Zhao-xia Xie, Beijing Institute of Graphic Communication (China)
Yan-ping Du, Beijing Institute of Graphic Communication (China)
Hai-ming Lu, Tsinghua Univ. (China)
Zi-jing Yang, Beijing Institute of Graphic Communication (China)


Published in SPIE Proceedings Vol. 10420:
Ninth International Conference on Digital Image Processing (ICDIP 2017)
Charles M. Falco; Xudong Jiang, Editor(s)

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