Understanding Quality of Experience of Heuristic-based HTTP Adaptive Bitrate Algorithms
NOSSDAV’21: The 31st edition of the Workshop on Network and Operating System Support for Digital Audio and Video
Sept. 28-Oct. 1, 2021, Istanbul, Turkey
Conference Website
Babak Taraghi*, Abdelhak Bentaleb**, Christian Timmerer*, Roger Zimmermann** and Hermann Hellwagner*
* Christian Doppler Laboratory ATHENA, Alpen-Adria-Universität Klagenfurt
** National University of Singapore
Abstract: Adaptive BitRate (ABR) algorithms play a crucial role in delivering the highest possible viewer’s Quality of Experience (QoE) in HTTP Adaptive Streaming (HAS). Online video streaming service providers use HAS – the dominant video streaming technique on the Internet – to deliver the best QoE for their users. Viewer’s delightfulness relies heavily on how the ABR of a media player can adapt the stream’s quality to the current network conditions. QoE for end-to-end video streaming sessions has been evaluated in many research projects to give better insight into the quality metrics. Objective evaluation models such as ITU Telecommunication Standardization Sector (ITU-T) P.1203 allow for the calculation of Mean Opinion Score (MOS) by considering various QoE metrics, and subjective evaluation is the best assessment approach in investigating the end-user opinion over a video streaming session’s experienced quality. We have conducted subjective evaluations with crowdsourced participants and evaluated the MOS of the sessions using the ITU-T P.1203 quality model. This paper’s main contribution is subjective evaluation analogy with objective evaluation for well-known heuristic-based ABRs.
Keywords: HTTP Adaptive Streaming, ABR Algorithms, Quality of Experience, Crowdsourcing, Subjective Evaluation, Objective Evaluation, MOS, (ITU-T) P.1203
Acknowledgements: The financial support of the Austrian Federal
Ministry for Digital and Economic Affairs, the National Foundation for
Research, Technology and Development, and the Christian Doppler Research
Association, is gratefully acknowledged. Christian Doppler Laboratory
ATHENA: https://athena.itec.aau.at/.
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