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We propose a computational model for estimating scalable visual sensitivity profile (SVSP) of video, which is a hierarchy of saliency maps that simulates the bottom-up and top- down attention of the human visual system (HVS). The bottom- up process considers low level stimulus-driven visual features such as intensity, color, orientation and motion. The top-down process simulates the high level task-driven...
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