DocumentCode :
120623
Title :
QoE-enabled transport optimisation scheme for real-time SVC video delivery
Author :
Alreshoodi, Mohammed ; Woods, John ; Musa, Ibrahim Kabiru
Author_Institution :
Sch. of Comput. Sci. & Electron. Eng., Univ. of Essex, Colchester, UK
fYear :
2014
fDate :
23-25 July 2014
Firstpage :
865
Lastpage :
868
Abstract :
Video traffic today accounts for 50 percent of all traffic on the network and is set to reach the 70 percent mark in a few years. Bringing in large volumes of video traffic threatens to exceed the network´s capacity. As a result, traffic congestion is becoming more frequent, degrading the Quality of Experience (QoE) for video consumers. In this paper, we present a QoE-enabled Transport Optimization Scheme (QETOS) for real-time scalable video stream. The proposed scheme is a crucial design choice that will optimise the video traffic by mapping video quality degradations (that are caused by network) to the QoE without penetrating the video packets. It takes the advantage of the Scalable Video Coding (SVC) partitions that can organize video into layers of different importance, facilitating rate adaptation of video streams. Our approach will help to minimize the side effects on user perceived quality.
Keywords :
optimisation; quality of experience; video coding; QETOS; QoE-enabled transport optimisation scheme; quality of experience; real-time SVC video delivery; real-time scalable video stream; scalable video coding; video quality degradations; video traffic; Optimization; Predictive models; Quality assessment; Quality of service; Static VAr compensators; Streaming media; Video recording; QoE; QoS; SVC; Video quality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on
Conference_Location :
Manchester
Type :
conf
DOI :
10.1109/CSNDSP.2014.6923949
Filename :
6923949
Link To Document :
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