NDLI: A Novel Strategy to Evaluate QoE for Video Service Delivered over HTTP Adaptive Streaming

Content Provider	IEEE Xplore Digital Library
Author	Xiaolin Deng Liang Chen Fei Wang Zesong Fei Wei Bai Chen Chi Guanglin Han Lei Wan
Copyright Year	2014
Description	Author affiliation: Res. Inst. of Commun. Technol., Beijing Inst. of Technol., Beijing, China (Xiaolin Deng; Liang Chen; Fei Wang; Zesong Fei) \|\| Wireless Res. Dept., Huawei Technol. Co., Ltd., Beijing, China (Wei Bai; Chen Chi; Guanglin Han; Lei Wan)
Abstract	For the popularity of delivering video service over HTTP Adaptive Streaming (HAS) in the mobile network, developing an automatic method to evaluate customers' quality of experience (QoE) for HAS video service in real time is highly desired for network operators and content providers. This paper proposes a novel QoE evaluation strategy for HAS video service based on the specific features of HAS and data-mining technology. Via capturing the media description files of HAS and the request information of clients, the QoE can be monitored in real time for operators. The evaluation algorithm for the proposed strategy is trained and tested based on the data sets collected from subjective test results. The test results suggest that the predicted Mean Opinion Score (pMOS) measured by our evaluation algorithm has high correlation with the Mean Opinion Score (MOS) measured by the subjective test, and meanwhile the evaluation strategy is easy to implement for operators.
Starting Page	1
Ending Page	5
File Size	359453
Page Count	5
File Format	PDF
ISBN	9781479944491
DOI	10.1109/VTCFall.2014.6965834
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-14
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Streaming media PSNR Bit rate Real-time systems Accuracy Mobile communication
Content Type	Text
Resource Type	Article

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