• DocumentCode
    3850999
  • 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
  • Volume
    21
  • Issue
    2
  • fYear
    2012
  • Firstpage
    898
  • Lastpage
    903
  • 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
  • Publisher
    ieee
  • ISSN
    1057-7149
  • Type

    jour

  • DOI
    10.1109/TIP.2011.2165292
  • Filename
    5986709