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Optimal set of video representations in adaptive streaming

Toni, L; Aparicio-Pardo, R; Simon, G; Blanc, A; Frossard, P; (2014) Optimal set of video representations in adaptive streaming. In: Zimmermann, R, (ed.) MMSys '14: Proceedings of the 5th ACM Multimedia Systems Conference. (pp. pp. 271-282). ACM: New York, USA. Green open access

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Adaptive streaming addresses the increasing and heterogenous demand of multimedia content over the Internet by oéring several streams for each video. Each stream has a diérent resolution and bit rate, aimed at a specific set of users, e.g., TV, mobile phone. While most existing works on adaptive streaming deal with optimal playout-control strategies at the client side, in this paper we concentrate on the providers' side, showing how to improve user satisfaction by optimizing the encoding parameters. We formulate an integer linear program that maximizes users' average satisfaction, taking into account the network characteristics, the type of video content, and the user population. The solution of the optimization is a set of encoding parameters that outperforms commonly used vendor recommendations, in terms of user satisfaction and total delivery cost. Results show that video content information as well as network constraints and users' statistics play a crucial role in selecting proper encoding parameters to provide fairness among users and reduce network usage. By combining patterns common to several representative cases, we propose a few practical guidelines that can be used to choose the encoding parameters based on the user base characteristics, the network capacity and the type of video content.

Type: Proceedings paper
Title: Optimal set of video representations in adaptive streaming
Event: MMSys '14: 5th ACM Multimedia Systems Conference, 19 March 2014, Singapore
ISBN-13: 9781450327053
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2557642.2557652
Publisher version: http://dx.doi.org/10.1145/2557642.2557652
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
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/1533083
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