Overview

The IRCCyN IVC Berkeley Eyetracker database contains 80 images in 481x321 pixels.
The images are original ones without degradation.
It’s a free task experiment.
The images, eyetracker raw data, the saliency maps and the importance maps are provided.
This database is provided free of charge.

Goal

Initial goal

Gaze data collected are used to create saliency maps to quantify the relationship between
visual salience and visual importance. The importance maps were collected in a previous
experiment at Oklahoma State University.
More details can be found in the related publications.

Possible usage

Compare the saliency maps and the importance maps.

Related publications

Please, cite the following paper in your publications if you use this database in your work :
J. Wang, D. M. Chandler, P. Le Callet, "Quantifying the relationship between visual salience and visual importance", Spie Human and Electronic imaging (HVEI) XV, San Jose, 2010.

Please, cite also the paper from Berkeley for the database :
D. Martin, C. Fowlkes, D. Tal and J. Malik, "A Database of Human Segmented Natural Images and its Application to Evaluating Segmentation Algorithms and Measuring Ecological Statistics", Proc. 8th Int’l Conf. Computer Vision, Vol. 2, Pages 416-423, July 2001.