Eye-tracking data were collected in order to better understand how people watch videos when assessing their quality level. In the experiment, two groups of viewers were shown video segments and were given two different tasks. One was to simply look at the video as if they were watching TV or an internet downloaded video. The other was to assess the quality level of the videos. With the eye tracker, it was possible to track the eye movement of the viewers and map the salient regions for images given the different tasks and with different levels of video quality. More details on the experimental set-up and results can be found in the references.
ZIP archive, password protected, to get the password you can contact Hani Alers (Hani.Alers@Gmail.com). Videos + MOS quality scores: Link: http://mmi.tudelft.nl/iqlab/databases/TUD_Video_Task_EyeTracking.zip Maps: Maps Group1 (scoring) [2.2 GB]: Link: http://mmi.tudelft.nl/iqlab/databases/Maps%20Group1%20(scoring).zip Maps: Maps Group2 (scoring) [1.8 GB] Link: http://mmi.tudelft.nl/iqlab/databases/Maps%20Group2%20(scoring).zip Maps: Maps Group3 (Free-looking) [2.0 GB] Link: http://mmi.tudelft.nl/iqlab/databases/Maps%20Group3%20(Free-looking).zip Maps: Maps Group4 (Free-looking) [4.1 GB] Link: http://mmi.tudelft.nl/iqlab/databases/Maps%20Group4%20(Free-looking).zip
References and Citation
The eye-tracking data are publicly available to the research community. Please cite the following references if you use this database in your research. [ALH12], [ALR12].
ALH12: H. Alers, H. Liu, J. Redi and I. Heynderickx, "TUD Video Quality Database: Eye-Tracking Release 2", http://mmi.tudelft.nl/iqlab/video_task_eye_tracking_1
ALR12: H. Alers, H. Liu, J. Redi and I. Heynderickx, "Examining the effect of task on viewing behavior in videos using saliency maps", IS&T/SPIE Electronic Imaging 2012, Human Vision and Electronic Imaging XVII, Jan 2012.