Title :
Estimations and Remedies for Quality of Experience in Multimedia Streaming
Author :
Menkovski, Vlado ; Exarchakos, Georgios ; Liotta, Antonio ; Sanchez, A.C.
Author_Institution :
Electr. Eng. Dept., Eindhoven Univ. of Technol., Eindhoven, Netherlands
Abstract :
Managing multimedia network services in a User-centric manner provides for more delivered quality to the users, whilst maintaining a limited footprint on the network resources. For efficient User-centric management it is imperative to have a precise metric for perceived quality. Quality of Experience (QoE) is such a metric, which captures many different aspects that compose the perception of quality. The drawback of using QoE is that due to its subjectiveness, accurate measurement necessitates execution of cumbersome subjective studies. In this work we propose a method that uses Machine Learning techniques to build QoE prediction models based on limited subjective data. Using those models we have developed an algorithm that generates the remedies for improving the QoE of observed multimedia stream. Selecting the optimal remedy is done by comparing the costs in resources associated to each of them. Coupling the QoE estimation and calculation of remedies produces a tool for effective implementation of a User-centric management loop for multimedia streaming services.
Keywords :
learning (artificial intelligence); media streaming; quality of service; QoE prediction model; machine learning techniques; multimedia network service management; multimedia streaming services; quality of experience; user-centric management loop; Classification algorithms; Distortion measurement; Estimation; Multimedia communication; Predictive models; Quality of service; Streaming media; Machine Learning; QoE; Quality of Experience; Subjective Testing;
Conference_Titel :
Advances in Human-Oriented and Personalized Mechanisms, Technologies and Services (CENTRIC), 2010 Third International Conference on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-7778-4
Electronic_ISBN :
978-0-7695-4141-9
DOI :
10.1109/CENTRIC.2010.14