%0 Conference Paper
%A García Lobo, Sergio Carlos
%A Cabrera Quesada, Julian
%A García Santos, Narciso
%B IEEE International Conference on Consumer Electronics (ICCE 2014)
%C Las Vegas, Nevada, USA
%D 2014
%F upm:36206
%I IEEE
%N null
%P 574-575
%T Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming
%U http://oa.upm.es/36206/
%X In contrast to traditional push-based protocols, adaptive streaming techniques like Dynamic Adaptive Streaming over HTTP (DASH) fix attention on the client, who dynamically requests different-quality portions of the content to cope with a limited and variable bandwidth but aiming at maximizing the quality perceived by the user. Since DASH adaptation logic at the client is not covered by the standard, we propose a solution based on Stochastic Dynamic Programming (SDP) techniques to find the optimal request policies that guarantee the users' Quality of Experience (QoE). Our algorithm is evaluated in a simulated streaming session and is compared with other adaptation approaches. The results show that our proposal outperforms them in terms of QoE, requesting higher qualities on average.