Visual saliency detection using local patches contrast

Zhao-xia Xie; Yan-ping Du; Hai-ming Lu; Zi-jing Yang

doi:10.1117/12.2282092

21 July 2017 Visual saliency detection using local patches contrast

Zhao-xia Xie, Yan-ping Du, Hai-ming Lu, Zi-jing Yang

Proceedings Volume 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017); 1042016 (2017) https://doi.org/10.1117/12.2282092
Event: Ninth International Conference on Digital Image Processing (ICDIP 2017), 2017, Hong Kong, China

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.

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Zhao-xia Xie, Yan-ping Du, Hai-ming Lu, and Zi-jing Yang "Visual saliency detection using local patches contrast", Proc. SPIE 10420, Ninth International Conference on Digital Image Processing (ICDIP 2017), 1042016 (21 July 2017); https://doi.org/10.1117/12.2282092

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Human vision research

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