TY - CONF TI - Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming T2 - IEEE International Conference on Consumer Electronics (ICCE 2014) ID - upm36206 SP - 574 UR - http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6776139&tag=1 AV - public PB - IEEE M2 - Las Vegas, Nevada, USA Y1 - 2014/// EP - 575 N2 - 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. A1 - García Lobo, Sergio Carlos A1 - Cabrera Quesada, Julian A1 - García Santos, Narciso SN - 2158-3994 ER -