Eye/gaze tracking in web, image and video documents

Authors:
Djeraba Chabane;Stanislas Lew;Dan Simovici;Sylvain Mongy;Nacim Ihaddadene
Affiliations:
University of Lille 1, France;University of Lille 1, France;University of Massachussets, Boston, MA;University of Lille 1, France;University of Lille 1, France
Venue:
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Year:
2006

Citing 2
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Abstract

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.