This database contains eyetracker data and the associated videos. The videos are several contents coded in H.264. The bit-rates are selected to have a good quality. A text file presents the general conditions of this test. It is a free task experiment. The bit-rates are selected to have a good quality. The goal is to collect saliency maps to test an area of interest protection software on these videos. Dataset contains eyetracking data from 37 observers for 51 H.264-compressed SD videos.
Database at FTP, no password. Link: ftp://ftp.ivc.polytech.univ-nantes.fr/IRCCyN_IVC_Eyetracker_2008_11/ Qualinet Databases Mirror: Link: ftpes://multimediatech.cz/IRCCyN_IVC/IRCCyN_IVC_Eyetracker_2008_11 Username: dbq-mirrors Password: kucykepe
The original link was: http://www.irccyn.ec-nantes.fr/spip.php?article555
References and Citation
Please, cite the following paper in your reference if you use this database for your work [BCP09].
BCP09: Fadi Boulos, Wei Chen, Benoit Parrein and Patrick Le Callet, "Region-of-Interest Intra Prediction for H.264/AVC Error Resilience", IEEE ICIP, 2009.