Quantification of quality of experience for edge-based applications
ITC20'07 Proceedings of the 20th international teletraffic conference on Managing traffic performance in converged networks
No-reference temporal quality metric for video impaired by frame freezing artefacts
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A generic quantitative relationship between quality of experience and quality of service
IEEE Network: The Magazine of Global Internetworking - Special issue on improving quality of experience for network services
Application flow control in YouTube video streams
ACM SIGCOMM Computer Communication Review
Understanding the impact of video quality on user engagement
Proceedings of the ACM SIGCOMM 2011 conference
A longitudinal view of HTTP video streaming performance
Proceedings of the 3rd Multimedia Systems Conference
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Video streaming over wireless broadband is currently accounting for half of the world-wide mobile data traffic, and its share is expected to increase even further. As a consequence, mobile operators need to understand how Quality of Experience (QoE) of mobile streamed video is impacted by the network delivery. With the HTTP-based video streaming used by video portals like YouTube or NetFlix, problems or insufficient resources in the networks manifest as stalling events during service consumption on the end user device. In this paper, we discuss the challenges for QoE monitoring of HTTP-based mobile video regarding three aspects. First, the QoE impact of different patterns in terms of stalling event frequency and length is quantified based on a study conducted for YouTube video. Second, we evaluate the prediction power of aggregated measures like the total stalling time. Third, we discuss the resulting consequences and remaining challenges for mobile video QoE modeling, monitoring and provisioning.