Measurement-based Analysis of the Video Characteristics of Twitch.tv

Measurement-based Analysis of the Video Characteristics of Twitch.tv


Mark Claypool, Daniel Farrington, and Nicholas Muesch

In Proceedings of the 7th IEEE Consumer Electronics Society Games, Entertainment, Media Conference (GEM)
Toronto, Canada
October 14-16, 2015


Technology advances have brought a growth in live streaming, where users can broadcast real-time videos of the games they are playing to interested viewers. While characteristics of traditional video on demand sites are relatively well understood, live streaming has received comparatively less attention. A better understanding of such systems is needed to plan for future systems and architectures. This paper uses a crawler and stream analyzer to characterize Twitch.tv, the most popular live streaming system for games. Analysis of the data confirms live stream volume from previous research, while providing novel frame rate and bitrate analysis.


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