The effects of jitter on the peceptual quality of video
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
Integrating user-perceived quality into Web server design
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Designing overlay multicast networks for streaming
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An analysis of live streaming workloads on the internet
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Quantifying Skype user satisfaction
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Defining user perception of distributed multimedia quality
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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Causal discovery in social media using quasi-experimental designs
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Understanding the impact of video quality on user engagement
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A case for a coordinated internet video control plane
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Developing a predictive model of quality of experience for internet video
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An information-aware QoE-centric mobile video cache
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Analyzing the potential benefits of CDN augmentation strategies for internet video workloads
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Understanding the effectiveness of video ads: a measurement study
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Virtualizing the access network via open APIs
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
Enhancing video accessibility and availability using information-bound references
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
Shedding light on the structure of internet video quality problems in the wild
Proceedings of the ninth ACM conference on Emerging networking experiments and technologies
QoE-aware optimization of multimedia flow scheduling
Computer Communications
Proceedings of the 15th Workshop on Mobile Computing Systems and Applications
Improving Fairness, Efficiency, and Stability in HTTP-Based Adaptive Video Streaming With Festive
IEEE/ACM Transactions on Networking (TON)
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The distribution of videos over the Internet is drastically transforming how media is consumed and monetized. Content providers, such as media outlets and video subscription services, would like to ensure that their videos do not fail, startup quickly, and play without interruptions. In return for their investment in video stream quality, content providers expect less viewer abandonment, more viewer engagement, and a greater fraction of repeat viewers, resulting in greater revenues. The key question for a content provider or a CDN is whether and to what extent changes in video quality can cause changes in viewer behavior. Our work is the first to establish a causal relationship between video quality and viewer behavior, taking a step beyond purely correlational studies. To establish causality, we use Quasi-Experimental Designs, a novel technique adapted from the medical and social sciences. We study the impact of video stream quality on viewer behavior in a scientific data-driven manner by using extensive traces from Akamai's streaming network that include 23 million views from 6.7 million unique viewers. We show that viewers start to abandon a video if it takes more than 2 seconds to start up, with each incremental delay of 1 second resulting in a 5.8%increase in the abandonment rate. Further, we show that a moderate amount of interruptions can decrease the average play time of a viewer by a significant amount. A viewer who experiences a rebuffer delay equal to 1% of the video duration plays 5% less of the video in comparison to a similar viewer who experienced no rebuffering. Finally, we show that a viewer who experienced failure is 2.32% less likely to revisit the same site within a week than a similar viewer who did not experience a failure.