Quality adaptation in p2p video streaming based on objective qoe metrics
IFIP'12 Proceedings of the 11th international IFIP TC 6 conference on Networking - Volume Part II
Quality of experience management for video streams: the case of Skype
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
Hi-index | 0.00 |
Efficient management of multimedia services necessitates the understanding of how the quality of these services is perceived by the users. Estimation of the perceived quality or Quality of Experience (QoE) of the service is a challenging process due to the subjective nature of QoE. This process usually incorporates complex subjective studies that need to recreate the viewing conditions of the service in a controlled environment. In this paper we present Machine Learning techniques for modeling the dependencies of different network and application layer quality of service parameters to the QoE of network services using subjective quality feedback. These accurate QoE prediction models allow us to further develop a geometrical method for calculating the possible remedies per network stream for reaching the desired level of QoE. Finally we present a set of possible network techniques that can deliver the desired improvement to the multimedia streams.