2015
Eye Tracking Assisted Extraction of Attentionally Important Objects From Videos
CVPR 2015poster
Visual attention is a crucial indicator of the relative importance of objects in visual scenes to human viewers. In this paper, we propose an algorithm to extract objects which attract visual attention from videos. As human attention is naturally biased towards high level semantic objects in visual…