Gwendal SIMON

Gwendal SIMON

Maître de Conférences, HDR
Département Systèmes Réseaux, Cybersécurité et Droit du numérique

Téléphone : (+33) 2 99 12 70 48
Télécopie : 02 99 12 70 30
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ENST Bretagne

Optimal Set of Video Representations in Adaptive Streaming


TONI Laura2, APARICIO PARDO Ramon1, SIMON Gwendal1,3, BLANC Alberto1,3, FROSSARD Pascal2

Type de document

Communication dans une conférence avec acte


MMSys 2014 : ACM Multimedia Systems conference, 19-21 march 2014, Singapour, Singapore, 2014, pp. 271-282




Adaptive streaming addresses the increasing and heterogenous demand of multimedia content over the Internet by offering several streams for each video. Each stream has a different 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.


1 : RSM - Dépt. Réseaux, Sécurité et Multimédia (Institut Mines-Télécom-Télécom Bretagne-UEB)
2 : EPFL - Ecole Polytechnique Fédérale de Lausanne (.)
3 : IRISA - Institut de recherche en informatique et systèmes aléatoires (UMR CNRS 6074 - Université de Rennes 1 - INRIA - INSA de Rennes - ENS de Cachan - Télécom Bretagne - Université de Bretagne Sud)

Mots clés

Adaptive streaming, Content delivery, Content delivery network, Combinatorial optimization



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