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Proceedings Paper

Perceived interest versus overt visual attention in image quality assessment
Author(s): Ulrich Engelke; Wei Zhang; Patrick Le Callet; Hantao Liu
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Paper Abstract

We investigate the impact of overt visual attention and perceived interest on the prediction performance of image quality metrics. Towards this end we performed two respective experiments to capture these mechanisms: an eye gaze tracking experiment and a region-of-interest selection experiment. Perceptual relevance maps were created from both experiments and integrated into the design of the image quality metrics. Correlation analysis shows that indeed there is an added value of integrating these perceptual relevance maps. We reveal that the improvement in prediction accuracy is not statistically different between fixation density maps from eye gaze tracking data and region-of-interest maps, thus, indicating the robustness of different perceptual relevance maps for the performance gain of image quality metrics. Interestingly, however, we found that thresholding of region-of-interest maps into binary maps significantly deteriorates prediction performance gain for image quality metrics. We provide a detailed analysis and discussion of the results as well as the conceptual and methodological differences between capturing overt visual attention and perceived interest.

Paper Details

Date Published: 17 March 2015
PDF: 9 pages
Proc. SPIE 9394, Human Vision and Electronic Imaging XX, 93941H (17 March 2015); doi: 10.1117/12.2086371
Show Author Affiliations
Ulrich Engelke, Commonwealth Scientific and Industrial Research Organisation (Australia)
Wei Zhang, The Univ. of Hull (United Kingdom)
Patrick Le Callet, LUNAM Univ., Univ. de Nantes, IRCCyN, CNRS (France)
Hantao Liu, The Univ. of Hull (United Kingdom)

Published in SPIE Proceedings Vol. 9394:
Human Vision and Electronic Imaging XX
Bernice E. Rogowitz; Thrasyvoulos N. Pappas; Huib de Ridder, Editor(s)

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