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Quality of Experience Assessment for HTTP Based Adaptive Video StreamingARSENOVIC, M.   , RIMAC-DRLJE, S. |
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Author keywords
hybrid metrics, HTTP adaptive streaming, LIVE-NFLX-II database, Quality of Experience, video quality metrics
References keywords
quality(34), video(20), streaming(17), experience(12), assessment(12), adaptive(11), image(10), bovik(7), service(5), multimedia(5)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2023-02-28
Volume 23, Issue 1, Year 2023, On page(s): 33 - 42
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2023.01004
Web of Science Accession Number: 000937345700004
SCOPUS ID: 85150182647
Abstract
The expected optimal outcome of users' video quality requirements should be the best Quality of Experience (QoE). Integrating and evaluating QoE in a video streaming system is a rather complex process that requires a comprehensive design of subjective databases and video quality metrics. The goal of this paper is to examine the parameters that affect QoE in adaptive video streaming, as well as metrics for evaluating video quality. The paper reviews and analyses 21 QoE metrics, out of which 4 are general video evaluation metrics, 7 are adaptive video streaming evaluation metrics, and 10 are hybrid metrics and their usability for QoE measurement for HTTP-based adaptive streaming (HAS). The LIVE-NFLX-II database is used to compare the metrics. The hybrid metrics that combine one of the full reference metrics with the no-reference metric that uses a combination of average bitrate, rebuffering percentage, and average bitrate switching magnitude, has yielded the best correlations with the subjective quality ratings. |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
Permission for other use: The copyright owner's consent does not extend to copying for general distribution, for promotion, for creating new works, or for resale. Specific written permission must be obtained from the Editor for such copying. Direct linking to files hosted on this website is strictly prohibited.
Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
