Hierarchical Saliency Detection
Hierarchical Saliency Detection
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DOI：
10.1109/cvpr.2013.153
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发表时间：
2013-06
期刊：
影响因子：
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通讯作者：
Qiong Yan;Li Xu;Jianping Shi;Jiaya Jia
中科院分区：
文献类型：
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作者：
Qiong Yan;Li Xu;Jianping Shi;Jiaya Jia
When dealing with objects with complex structures, saliency detection confronts a critical problem - namely that detection accuracy could be adversely affected if salient foreground or background in an image contains small-scale high-contrast patterns. This issue is common in natural images and forms a fundamental challenge for prior methods. We tackle it from a scale point of view and propose a multi-layer approach to analyze saliency cues. The final saliency map is produced in a hierarchical model. Different from varying patch sizes or downsizing images, our scale-based region handling is by finding saliency values optimally in a tree model. Our approach improves saliency detection on many images that cannot be handled well traditionally. A new dataset is also constructed.
