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Proceedings Paper

On evaluation of video quality metrics: an HDR dataset for computer graphics applications
Author(s): Martin Čadík; Tunç O. Aydin; Karol Myszkowski; Hans-Peter Seidel
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Paper Abstract

In this paper we propose a new dataset for evaluation of image/video quality metrics with emphasis on applications in computer graphics. The proposed dataset includes LDR-LDR, HDR-HDR, and HDR-LDR reference-test video pairs with various types of distortions. We also present an example evaluation of recent image and video quality metrics that were applied in the field of computer graphics. In this evaluation all video sequences were shown on an HDR display, and subjects were asked to mark the regions where they saw differences between test and reference videos. As a result, we capture not only the magnitude of distortions, but also their spatial distribution. This has two advantages: on one hand the local quality information is valuable for computer graphics applications, on the other hand the subjectively obtained distortion maps are easily comparable to the maps predicted by quality metrics.

Paper Details

Date Published: 2 February 2011
PDF: 9 pages
Proc. SPIE 7865, Human Vision and Electronic Imaging XVI, 78650R (2 February 2011); doi: 10.1117/12.878875
Show Author Affiliations
Martin Čadík, Max-Planck-Institut für Informatik (Germany)
Tunç O. Aydin, Max-Planck-Institut für Informatik (Germany)
Karol Myszkowski, Max-Planck-Institut für Informatik (Germany)
Hans-Peter Seidel, Max-Planck-Institut für Informatik (Germany)


Published in SPIE Proceedings Vol. 7865:
Human Vision and Electronic Imaging XVI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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