Title :
Eye-Tracking Database for a Set of Standard Video Sequences
Author :
Hadi Hadizadeh;Mario J. Enriquez;Ivan V. Bajic
Author_Institution :
School of Engineering Science, Simon Fraser University, Burnaby, Canada
Abstract :
This correspondence describes a publicly available database of eye-tracking data, collected on a set of standard video sequences that are frequently used in video compression, processing, and transmission simulations. A unique feature of this database is that it contains eye-tracking data for both the first and second viewings of the sequence. We have made available the uncompressed video sequences and the raw eye-tracking data for each sequence, along with different visualizations of the data and a preliminary analysis based on two well-known visual attention models.
Keywords :
"Visualization","Databases","Video sequences","Tracking","Cameras","Accuracy","Calibration"
Journal_Title :
IEEE Transactions on Image Processing
DOI :
10.1109/TIP.2011.2165292