DocumentCode
3574170
Title
Poster: Quality of experience prediction of HTTP adaptive streaming traffic in LTE system
Author
Fei Wang ; Liang Chen ; Habineza, Theogene ; Xiaolin Deng ; Zesong Fei ; Yuan Zhou ; Dan Li
Author_Institution
Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
fYear
2014
Firstpage
674
Lastpage
675
Abstract
With mobile video data traffic increasing, enhancing video quality of experience (QoE) has become an important issue. HTTP Adaptive Streaming (HAS) is a solution to give the user better experience by providing different video rates in changeable bandwidth. To infer the HAS QoE in LTE network, HAS engine we designed can produce video rates reflecting the viewer´s subjective feeling adequately. Using the subjective score and the experimental parameters from HAS QoE evaluation system we planted, we predict the HAS QoE with evolved-PSNR (ePSNR) and predicted-MOS (pMOS) accurately in LTE network. Furthermore, we optimize the video rate with a better correlation.
Keywords
Long Term Evolution; hypermedia; quality of experience; telecommunication traffic; transport protocols; video streaming; HAS QoE evaluation system; HTTP adaptive streaming traffic; LTE network; changeable bandwidth; evolved-PSNR; mobile video data traffic; predicted-MOS; quality of experience prediction; video QoE; video quality of experience; Engines; Indexes; Mobile communication; Quality assessment; Standards; Streaming media; Video recording; HAS; LTE; QoE; video rate;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China (CHINACOM), 2014 9th International Conference on
Type
conf
DOI
10.1109/CHINACOM.2014.7054391
Filename
7054391
Link To Document