An eye-tracking based approach to gaze prediction using low-level features
In this master's thesis, an attempt is made to automatically predict where people will look when watching video sequences. An application in the form of foveation for video compression is discussed. A relatively simple prediction model is built based on eyetracking data from several subjects and low-level features generated from the video frames, using simple image processing algorithms. The p
