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Journal of Electronic Imaging

No-reference video quality measurement: added value of machine learning
Author(s): Decebal C. Mocanu; Jeevan Pokhrel; Juan Pablo Garella; Janne Seppänen; Eirini Liotou; Manish Narwaria
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Paper Abstract

Video quality measurement is an important component in the end-to-end video delivery chain. Video quality is, however, subjective, and thus, there will always be interobserver differences in the subjective opinion about the visual quality of the same video. Despite this, most existing works on objective quality measurement typically focus only on predicting a single score and evaluate their prediction accuracies based on how close it is to the mean opinion scores (or similar average based ratings). Clearly, such an approach ignores the underlying diversities in the subjective scoring process and, as a result, does not allow further analysis on how reliable the objective prediction is in terms of subjective variability. Consequently, the aim of this paper is to analyze this issue and present a machine-learning based solution to address it. We demonstrate the utility of our ideas by considering the practical scenario of video broadcast transmissions with focus on digital terrestrial television (DTT) and proposing a no-reference objective video quality estimator for such application. We conducted meaningful verification studies on different video content (including video clips recorded from real DTT broadcast transmissions) in order to verify the performance of the proposed solution.

Paper Details

Date Published: 29 December 2015
PDF: 15 pages
J. Electron. Imaging. 24(6) 061208 doi: 10.1117/1.JEI.24.6.061208
Published in: Journal of Electronic Imaging Volume 24, Issue 6
Show Author Affiliations
Decebal C. Mocanu, Technische Univ. Eindhoven (Netherlands)
Jeevan Pokhrel, Montimage (France)
Juan Pablo Garella, Univ. de la República (Uruguay)
Janne Seppänen, VTT Technical Research Ctr. of Finland Ltd. (Finland)
Eirini Liotou, National and Kapodistrian Univ. of Athens (Greece)
Manish Narwaria, Dhirubhai Ambani Institute of Information and Communication Technology (India)


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