Delft Image Quality Lab
 

IQ Lab
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Introduction
People

 

Resources
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A&A_dataset: The Aesthetics and visual Attention image dataset
EMMA: Database for emotion and mood recognition
i_QoE: A database for individual QoE analysis
SA-IQ: Semantic Aware Image Quality dataset
Perceived Ringing
Eye-Tracking Release 1
Eye-Tracking Release 2
Interactions
Video Task Effect

Eye-Tracking Release 1

The eye-tracking data are publicly available to the research community. Please cite the following references if you use this database in your research.

  • H. Liu and I. Heynderickx, "TUD Image Quality Database: Eye-Tracking Release 1", http://mmi.tudelft.nl/iqlab/eye_tracking_1.html.

  • H. Liu and I. Heynderickx, "Studying the Added Value of Visual Attention in Objective Image Quality Metrics Based on Eye Movement Data", in Proc. IEEE International Conference on Image Processing, pp. 3097-3100, November 2009.
    Get paper

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Database: TUD LIVE Eye Tracking

The files are password protected. To get the password you can contact Hantao Liu (iqlab@ii.tudelft.nl)

Database Description

Eye-tracking data were collected in order to better understand how people look to images under natural viewing conditions. In the experiment, the twenty-nine source images of the LIVE image quality assessment database [1] were used as stimuli, and twenty participants were requested to look at the images in a natural way (“view it as you normally would�. A map indicating the natural scene saliency (NSS) was derived from the eye-tracking data.
More details on the experimental set-up and results can be found in the references given above.

[1]: Laboratory for Image & Video Engineering

This research group is part of the Interactive Intelligence group based in the Technical University of Delft
For questions or comments regarding this page, please contact Hani Alers