Eye/gaze tracking in web, image and video documents
Chabane Djeraba, Stanislas Lew, Dan A. Simovici, Sylvain Mongy, Nacim Ihaddadene · 2006
Our demo focuses on eye tracking on web, image and video data. We use some state-of-the-art measurements, such as scan path, to determine how the user sees web documents, images and videos. Our approach is characterised by automatic eye/gaze tracking with non intrusive sensors, mainly infrared cameras of web, image and video documents. We analyse eye/gaze tracking concerns spatial regions of static documents (images and web pages) and spatial zones of dynamic documents (video, sequence of web pages hyperlinked). In the context of dynamic documents, the eye/gaze tracking is processed image-per -image in video documents, and page-per-page in web documents. The result is more rough on video, and more accurate on images and hyperlinked web pages. Eye/gaze tracking on video is relatively new and unexplored in the literature.