articleJun 1, 2010Closed access

Context-aware saliency detection

Technion – Israel Institute of Technology

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Abstract

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…

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762
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FWCI
85.02
Percentile
100%
References
31
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Authors

3

Topics & keywords

Keywords
  • Automatic summarization
  • Seam carving
  • Computer science
  • Artificial intelligence
  • Context (archaeology)
  • Image (mathematics)
  • Object detection
  • Visualization
UN Sustainable Development Goals
  • Reduced inequalities
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