Real-Time QoE Monitoring System for Video Streaming Services with Adaptive Media Playout

Quality of Experience (QoE) of video streaming services has been attracting more and more attention recently. Therefore, in this work we designed and implemented a real-time QoE monitoring system for streaming services with Adaptive Media Playout (AMP), which was implemented into the VideoLAN Client...

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Bibliographic Details
Published inInternational Journal of Digital Multimedia Broadcasting Vol. 2018; no. 2018; pp. 1 - 11
Main Authors Li, Mingfu, Lu, Shao-Yu, Yeh, Chien-Lin
Format Journal Article
LanguageEnglish
Published Cairo, Egypt Hindawi Publishing Corporation 01.01.2018
Hindawi
John Wiley & Sons, Inc
Hindawi Limited
Subjects
Adaptive systems
Algorithms
Buffers
Business metrics
Communication
Computer engineering
Digital media
International conferences
IPTV
Methods
Monitoring
Monitoring systems
Multimedia
Protocol
Real time
Smartphones
Streaming media
Video transmission
Wireless networks
Taiwan
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Summary:Quality of Experience (QoE) of video streaming services has been attracting more and more attention recently. Therefore, in this work we designed and implemented a real-time QoE monitoring system for streaming services with Adaptive Media Playout (AMP), which was implemented into the VideoLAN Client (VLC) media player to dynamically adjust the playout rate of videos according to the buffer fullness of the client buffer. The QoE monitoring system reports the QoE of streaming services in real time so that network/content providers can monitor the qualities of their services and resolve troubles immediately whenever their subscribers encounter them. Several experiments including wired and wireless streaming were conducted to show the effectiveness of the implemented AMP and QoE monitoring system. Experimental results demonstrate that AMP significantly improves the QoE of streaming services according to the Mean Opinion Score (MOS) estimated by our developed program. Additionally, some challenging issues in wireless streaming have been easily identified using the developed QoE monitoring system.
ISSN:1687-7578
1687-7586
DOI:10.1155/2018/2619438