Learning attention based saliency in videos from human eye movements

Sunaad Nataraju Vineeth N Balasubramanian Sethuraman Panchanathan
Abstract: In this paper we propose a framework to learn and predict saliency in videos using human eye movements. In our approach, we record the eye-gaze of users as they are watching videos, and then learn the low level features of regions that are of visual interest. The learnt classifier is then used to predict salient regions in videos belonging to the same application. So far, predicting saliency in images and videos has been approached from mainly two different perspectives, namely visual attention modeling and spatio-temporal ...