Proceedings of the 2012 Internet Measurement Conference 2012
DOI: 10.1145/2398776.2398799
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Video stream quality impacts viewer behavior

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Cited by 190 publications
(15 citation statements)
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References 17 publications
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“…The direct live video can be divided into two sub-categories: live broadcast of TV such as BBC iPlayer 1 and private video communications such as Skype 2 . We have focused on the latter category as such applications typically are interactive in their nature and thus more sensitive to latency.…”
Section: Video Streamingmentioning
confidence: 99%
See 1 more Smart Citation
“…The direct live video can be divided into two sub-categories: live broadcast of TV such as BBC iPlayer 1 and private video communications such as Skype 2 . We have focused on the latter category as such applications typically are interactive in their nature and thus more sensitive to latency.…”
Section: Video Streamingmentioning
confidence: 99%
“…For instance, freezing a live video just 1% of the video duration is sufficient to turn away 5% of the viewers [1]. Similarly, a latency of 60 ms suffices to degrade user experience in Internet gaming [2].…”
Section: Introductionmentioning
confidence: 99%
“…This destroys the flow of the video and its perception as a single unit/medium, decreasing the user's quality of experience. Concerning a single video, the findings of Hossfeld et al [27], Egger et al [15], and Krishnan and Sitaraman [31] show that stalling during video playback has a bad influence on the quality of experience while watching a video. According to their studies, initial delays and stallings have to be minimized to improve the QoE during playback; avoiding users' abandoning the video.…”
Section: Problem Statementmentioning
confidence: 99%
“…Since settings from other work in the area of user experience can be used (see [15,27,31]), desired parameters can be set and the algorithms can be tested. …”
Section: Formalization and Simulationmentioning
confidence: 99%
“…We take into account the abandonment 75 rate described in Krishnan and Sitaraman (2012), where the authors found that VoD clients start leaving the service after a start-up delay of 2000ms (milliseconds), losing 5.8% of users for each additional second. This delay time T D includes all network times, server times, and additional 80 overheads.…”
Section: Introductionmentioning
confidence: 99%