Utilizing buffered YouTube playtime for QoE-oriented scheduling in OFDMA networks
Proceedings of the 24th International Teletraffic Congress
Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia
Crowdsourced evaluation of the perceived viewing quality in user-generated video
Proceedings of the 2nd ACM international workshop on Crowdsourcing for multimedia
From packets to people: quality of experience as a new measurement challenge
DataTraffic Monitoring and Analysis
Internet video delivery in youtube: from traffic measurements to quality of experience
DataTraffic Monitoring and Analysis
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This paper addresses the challenge of assessing and modeling Quality of Experience (QoE) for online video services that are based on TCP-streaming. We present a dedicated QoE model for You Tube that takes into account the key influence factors (such as stalling events caused by network bottlenecks) that shape quality perception of this service. As second contribution, we propose a generic subjective QoE assessment methodology for multimedia applications (like online video) that is based on crowd sourcing - a highly cost-efficient, fast and flexible way of conducting user experiments. We demonstrate how our approach successfully leverages the inherent strengths of crowd sourcing while addressing critical aspects such as the reliability of the experimental data obtained. Our results suggest that, crowd sourcing is a highly effective QoE assessment method not only for online video, but also for a wide range of other current and future Internet applications.