Downton abbey without the hiccups: buffer-based rate adaptation for HTTP video streaming

Authors:
Te-Yuan Huang;Ramesh Johari;Nick McKeown
Affiliations:
Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA;Stanford University, Stanford, CA, USA
Venue:
Proceedings of the 2013 ACM SIGCOMM workshop on Future human-centric multimedia networking
Year:
2013

Citing 6
Cited 0

Feedback control for adaptive live video streaming

MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP

MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
What happens when HTTP adaptive streaming players compete for bandwidth?

Proceedings of the 22nd international workshop on Network and Operating System Support for Digital Audio and Video
A quest for an Internet video quality-of-experience metric

Proceedings of the 11th ACM Workshop on Hot Topics in Networks
Confused, timid, and unstable: picking a video streaming rate is hard

Proceedings of the 2012 ACM conference on Internet measurement conference
Towards agile and smooth video adaptation in dynamic HTTP streaming

Proceedings of the 8th international conference on Emerging networking experiments and technologies

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recent work has shown how hard it is to pick a video streaming rate. Video service providers use heuristics to estimate the network capacity leading to unnecessary rebuffering events and suboptimal video quality. This paper argues that we should do away with estimating network capacity, and instead directly observe and control the playback buffer. We present a class of rate selection algorithms that allow us to optimize the delivered video quality while provably never unnecessarily rebuffering. Our algorithms work with discrete video rates, video chunking and for both CBR and VBR video codecs.