Computer-vision attention processes allocate computational resources to different parts of visual input and can lead to faster object recognition and image analysis. This paper p...
Cognitive systems are trained to recognise perceptually meaningful parts of an image. These regions contain some variation, i.e. local texture, and are roughly convex. We call suc...
The attentive region extraction is a challenging issue for semantic interpretation of image and video content. The successful attentive region extraction greatly facilitates image...
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
A one-dimensional, visual tracking chip has been implemented using neuromorphic,analog VLSI techniques to modelselective visual attention in the control of saccadic and smooth pur...
Timothy K. Horiuchi, Tonia G. Morris, Christof Koc...