An Integrated Approach to Visual Attention Modeling for Saliency Detection in Videos

Springer London
Sunaad Nataraju Vineeth N Balasubramanian Sethuraman Panchanathan
Abstract In this chapter, we present a framework to learn and predict regions of interest in videos, based on human eye movements. In our approach, the eye gaze information of several users are recorded as they watch videos that are similar, and belong to a particular application domain. This information is used to train a classifier to learn low-level video features from regions that attracted the visual attention of users. Such a classifier is combined with vision-based approaches to provide an integrated framework to detect ...