%I IEEE
%D 2014
%A Sergio Carlos García Lobo
%A Julian Cabrera Quesada
%A Narciso García Santos
%P 574-575
%L upm36206
%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.
%N null
%J 2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)
%B IEEE International Conference on Consumer Electronics (ICCE 2014)
%C Las Vegas, Nevada, USA
%T Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming