A model of saliency-based visual attention for movie retrospection

Abstract

Visual saliency modeling is becoming important and challenging for many scientific disciplines (robotic systems, psychophysics, cognitive neuroscience and computer science). Proposed model indicates possible salient regions by taking into consideration face presence and motion which is essential in motion pictures. By combining face presence and motion we can obtain credible saliency map with low computational costs.