Andreopoulos, Yiannis;
Stejerean, Cosmin;
(2022)
Advances in Quality Assessment Of Video Streaming Systems: Algorithms, Methods, Tools.
In:
MM '22: Proceedings of the 30th ACM International Conference on Multimedia.
Association for Computing Machinery (ACM): New York, NY, United States.
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Abstract
Quality assessment of video has matured significantly in the last 10 years due to a flurry of relevant developments in academia and industry, with relevant initiatives in VQEG, AOMedia, MPEG, ITU-T P.910, and other standardization and advisory bodies . Most advanced video streaming systems are now clearly moving away from good old-fashioned' PSNR and structural similarity type of assessment towards metrics that align better to mean opinion scores from viewers. Several of these algorithms, methods and tools have only been developed in the last 3-5 years and, while they are of significant interest to the research community, their advantages and limitations are not widely known in the research community. This tutorial provides this overview, but also focuses on practical aspects and how to design quality assessment tests that can scale to large datasets.
Type: | Proceedings paper |
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Title: | Advances in Quality Assessment Of Video Streaming Systems: Algorithms, Methods, Tools |
Event: | 30th ACM International Conference on Multimedia |
ISBN-13: | 9781450392037 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1145/3503161.3546968 |
Publisher version: | https://dl.acm.org/doi/10.1145/3503161.3546968 |
Language: | English |
Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | quality assessment, video coding, datasets, video denoising |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10170821 |




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