Eye-Tracking Database for a Set of Standard Video Sequences

Authors:
Hadi Hadizadeh;Mario J. Enriquez;Ivan V. Bajic
Affiliations:
School of Engineering Science, Simon Fraser University, Burnaby, Canada;School of Engineering Science, Simon Fraser University, Burnaby, Canada;School of Engineering Science, Simon Fraser University, Burnaby, Canada
Venue:
IEEE Transactions on Image Processing
Year:
2012

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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.