An eye tracking database for stereoscopic video
Yuming Fang, Junle Wang, Jing Li, Romuald Pépion, Patrick Le Callet · 2014
We present a large-scale eye tracking database for stereo-scopic video. A set of participants were involved in this eye tracking experiment. The human fixation maps were created as the ground truth for stereoscopic video from the gaze data from participants. To the best of our knowledge, this is the first large-scale eye tracking database of visual attention modeling for stereoscopic video. The details of the processing operations and properties of the database are described in this paper.