
Proceedings Paper
Optimal region-of-interest based visual quality assessmentFormat | Member Price | Non-Member Price |
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Paper Abstract
Visual content typically exhibits regions that particularly attract the viewer's attention, usually referred to as
regions-of-interest (ROI). In the context of visual quality one may expect that distortions occurring in the ROI
are perceived more annoyingly than distortions in the background (BG). This is especially true given that the
human visual system is highly space variant in sampling visual signals. However, this phenomenon of visual
attention is only seldom taken into account in visual quality metric design. In this paper, we thus provide a
framework for incorporation of visual attention into the design of an objective quality metric by means of regionbased
segmentation of the image. To support the metric design we conducted subjective experiments to both
quantify the subjective quality of a set of distorted images and also to identify ROI in a set of reference images.
Multiobjective optimization is then applied to find the optimal weighting of the ROI and BG quality metrics. It
is shown that the ROI based metric design allows to increase quality prediction performance of the considered
metric and also of two other contemporary quality metrics.
Paper Details
Date Published: 10 February 2009
PDF: 12 pages
Proc. SPIE 7240, Human Vision and Electronic Imaging XIV, 724011 (10 February 2009); doi: 10.1117/12.805933
Published in SPIE Proceedings Vol. 7240:
Human Vision and Electronic Imaging XIV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)
PDF: 12 pages
Proc. SPIE 7240, Human Vision and Electronic Imaging XIV, 724011 (10 February 2009); doi: 10.1117/12.805933
Show Author Affiliations
Ulrich Engelke, Blekinge Institute of Technology (Sweden)
Hans-Jürgen Zepernick, Blekinge Institute of Technology (Sweden)
Published in SPIE Proceedings Vol. 7240:
Human Vision and Electronic Imaging XIV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)
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