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Context-Aware Saliency Detection
Oct. 2012 (vol. 34 no. 10)
pp. 1915-1926
Stas Goferman, Israel Institute of Technology, Haifa
Lihi Zelnik-Manor, Israel Institute of Technology, Haifa
Ayellet Tal, Israel Institute of Technology, Haifa
We propose a new type of saliency—context-aware saliency—which aims at detecting the image regions that represent the scene. This definition differs from previous definitions whose goal is to either identify fixation points or detect the dominant object. In accordance with our saliency definition, we present a detection algorithm which is based on four principles observed in the psychological literature. The benefits of the proposed approach are evaluated in two applications where the context of the dominant objects is just as essential as the objects themselves. In image retargeting, we demonstrate that using our saliency prevents distortions in the important regions. In summarization, we show that our saliency helps to produce compact, appealing, and informative summaries.
Index Terms:
Feature extraction,Context awareness,Visualization,Object recognition,Estimation,Image color analysis,Human factors,context aware.,Image saliency,visual saliency
Citation:
Stas Goferman, Lihi Zelnik-Manor, Ayellet Tal, "Context-Aware Saliency Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, no. 10, pp. 1915-1926, Oct. 2012, doi:10.1109/TPAMI.2011.272
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