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