Exploring Image Collections via Eye Tracking
The goal of this project is to use state of the art in eye tracking to design, implement and evaluate different eye-tracking interfaces for Exquisitor.
The project is suitable for 1-3 well-qualified MSc students.
Image and media collections are becoming a central information resource for a growing number of domains. This calls for very effective tools for interactive exploration of the contents of those collections . Since humans typically look at the targets of interest before making a selection, the eyes can become a very efficient means browsing media collections (e.g. to make selections and inform about user interest) . We propose projects that intend to investigate eyetracking for efficient exploration of media using Exquisitor, a very scalable image browser based on relevance feedback . The goal of the project is to use the state of the art in eye tracking to design, implement and evaluate different eye-tracking interfaces for the Exquisitor system. The project is suitable for 1-3 well-qualified MSc students. The intention is to publish the results, and demonstrate the system, in international research conferences. And the presentation of the MSc project should be quite interactive!References * Björn Þór Jónsson, Marcel Worring, Jan Zahálka, Stevan Rudinac, Laurent Amsaleg. Ten ResearchQuestions for Scalable Multimedia Analytics. Proceedings of the International Conference onMultimedia Modeling (MMM), Miami, FL, USA, January 2016. * Dan Witzner Hansen, Qiang Ji. In the Eye of the Beholder: A Survey of Models for Eyes and Gaze.IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), 32(3), March 2010.Jan Zahálka, Stevan Rudinac, Björn Þór Jónsson, Dennis C. Koelma, Marcel Worring. Blackthorn: Large-Scale Interactive Multimodal Learning. IEEE Transactions on Multimedia (TMM), 20(3), March2018.