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IRCCyN/IVC Eyetracker SD 2008 11 Database

Description

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.

Access

Openly available for download from Zenodo

Website

References and Citation

Please, cite the following paper in your reference if you use this database for your work [BCP09].

References

• 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.