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Organisms use the process of selective attention to optimally allocate their computational resources to the instantaneously most relevant subsets of a visual scene, ensuring that they can parse the scene in real time. Many models of bottom-up attentional selection assume that elementary image features, like intensity, color and orientation, attract attention. Gestalt psychologists, however, argue...
The human visual system has the inherent capability of using selective attention to rapidly process visual information across visual scenes. Early models of visual saliency are purely feature-based and compute visual attention for static scenes. However, to model the human visual system, it is important to also consider temporal change that may exist within the scene when computing visual saliency...
Organisms use the process of selective attention to optimally allocate their computational resources to interesting subsets of a visual scene - ensuring that they can parse the scene in realtime. Many models of attention assume that basic image features (e.g. intensity, color and orientation) behave as attractors for attention. Gestalt psychologists, however, argue that humans perceive the whole before...
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