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On Evaluation of Video Quality Metrics: an HDR Dataset for Computer Graphics Applications
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@MISC{Čadík_onevaluation,
author = {Martin Čadík and Tunç O. Aydın and Karol Myszkowski and Hans-peter Seidel and Mpi Informatik},
title = {On Evaluation of Video Quality Metrics: an HDR Dataset for Computer Graphics Applications},
year = {}
}
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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. 1.
Keyphrases
computer graphic application video quality metric hdr dataset computer graphic video sequence reference video new dataset hdr display hdr-ldr reference-test video pair example evaluation various type local quality information spatial distribution image video quality metric quality metric distortion map recent image
