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The general computational models of visual attention are to obtain multi-scale feature maps in terms of visual properties like intensity, color and orientation, and then combine them to get one saliency map. But due to the lack of object edge information and reasonable feature combination strategy, the visual saliency map of the image is a blur map. Being aware of these, we propose a new scheme for...
Visual attention (VA), defined as the ability of a biological or artificial visual system to rapidly detect potentially relevant parts of a visual scene, provides a general purpose solution for low level feature detection in a visual architecture. Numerous computational models of visual attention have been suggested during the last two decades. In saliency map of VA, how to select weights of each...
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