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Published on Jul 15, 2008
Human Visual Attention model-based computer vision algorithm's generated eyetracking heatmap vs real one from eyetrack study (white cross) http://www.youtube.com/watch?v=o4d8UK... . Example of an eyetracking "heatmap" that shows how much users are likely to look at different parts of a video. Areas where users looked the most are colored red-black; the yellow-green areas indicate fewer fixations, followed by the least-viewed blue areas. Gray areas didn't attract any fixations. Both low level (color, edge, texture, ...) and high level (text recognition and understanding, object recognition and understanding, ) analysis is done. Direction of human attention is computed using 80000 training (human-based) samples. Very fast processing time - 2 fps. Accurate and robust (87% compared to eye tracking results on the same database). For more information please contact tsishkoudv at gmail.com.