%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 https://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.