@inproceedings{upm36206,
            year = {2014},
           pages = {574--575},
          author = {Sergio Carlos Garc{\'i}a Lobo and Julian Cabrera Quesada and Narciso Garc{\'i}a Santos},
         journal = {2014 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS (ICCE)},
       booktitle = {IEEE International Conference on Consumer Electronics (ICCE 2014)},
           title = {Quality-optimization algorithm based on stochastic dynamic programming for MPEG DASH video streaming},
          number = {null},
       publisher = {IEEE},
             url = {https://oa.upm.es/36206/},
        abstract = {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.}
}