20 April 2015 Effects of task and image properties on visual-attention deployment in image-quality assessment
Author Affiliations +
Abstract
It is important to understand how humans view images and how their behavior is affected by changes in the properties of the viewed images and the task they are given, particularly the task of scoring the image quality (IQ). This is a complex behavior that holds great importance for the field of image-quality research. This work builds upon 4 years of research work spanning three databases studying image-viewing behavior. Using eye-tracking equipment, it was possible to collect information on human viewing behavior of different kinds of stimuli and under different experimental settings. This work performs a cross-analysis on the results from all these databases using state-of-the-art similarity measures. The results strongly show that asking the viewers to score the IQ significantly changes their viewing behavior. Also muting the color saturation seems to affect the saliency of the images. However, a change in IQ was not consistently found to modify visual attention deployment, neither under free looking nor during scoring. These results are helpful in gaining a better understanding of image viewing behavior under different conditions. They also have important implications on work that collects subjective image-quality scores from human observers.
© 2015 SPIE and IS&T 1017-9909/2015/$25.00 © 2015 SPIE and IS&T
Hani Alers, Judith A. Redi, Hantao Liu, and Ingrid Heynderickx "Effects of task and image properties on visual-attention deployment in image-quality assessment," Journal of Electronic Imaging 24(2), 023030 (20 April 2015). https://doi.org/10.1117/1.JEI.24.2.023030
Published: 20 April 2015
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CITATIONS
Cited by 6 scholarly publications.
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KEYWORDS
Image quality

Distributed interactive simulations

Visualization

Remote sensing

Databases

Image compression

Image visualization

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