An experimental evaluation of rate-adaptation algorithms in adaptive streaming over HTTP

By Saamer Akhshabi, Ali C. Begen, C. Dovrolis. ACM SIGMM Conference on Multimedia Systems, 2011

680 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/cef5c524c65a8fe25dc0309ad6c97e93f037b968

How researchers see this paper

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In Computer Networks and Communications

In Computer Vision and Pattern Recognition

Citations in the corpus

Improving fairness, efficiency, and stability in HTTP-based adaptive video streaming with FESTIVE (2012, background): “At a high-level, the aforementioned problems arise as a result of overlaying the adaptation logic on top of several layers that may hide the true network state.”
Confused, timid, and unstable: picking a video streaming rate is hard (2012, background): “Others have identified the same problem but not explained its causes or validated potential fixes [4, 16].”
Neural Adaptive Video Streaming with Pensieve (2017, methodology): “However, many of these goals are inherently conflicting [3, 18, 21].”
QDASH: a QoE-aware DASH system (2012, background): “Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are notmadeordistributedforpro.tor commercialadvantage andthat copies bearthisnoticeandthefull citationonthe.rstpage.”
Developing a predictive model of quality of experience for internet video (2013, background): “3 These are distinct providers and there is no content overlap; i.e., none of the VOD videos is a replay of a live event.”
A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP (2015, neutral): “ISBN 978-1-4503-3542-3/15/08. . . $15.00 DOI: http://dx.doi.org/10.1145/2785956.2787486”
A buffer-based approach to rate adaptation (2014, background): “The overestimation leads to unnecessary rebuﬀers [2, 6].”
A Survey on Quality of Experience of HTTP Adaptive Streaming (2015, neutral): “In [88], the authors show that in a two player setup the client joining the stream first grabs the highest available video bandwidth the network supports.”
Unreeling netflix: Understanding and improving multi-CDN movie delivery (2012, methodology): “In this paper we provide a detailed analysis of the Netflix architecture, which is designed to serve massive amounts of content by combining multiple third party services.”
Towards agile and smooth video adaptation in dynamic HTTP streaming (2012, background): “In [4], authors compared rate adaptation of three popular DASH clients: Netflix client, Microsoft Smooth Streaming [5], and Adobe OSMF [6].”
Network characteristics of video streaming traffic (2011, methodology): “For Netﬂix videos, we do not use the accumulation ratio because the encoding rate used by Netﬂix depends on the end-to-end available bandwidth [11].”
Commute path bandwidth traces from 3G networks: analysis and applications (2013, background): “One challenge when delivering time-dependent data such as audio and video to moving devices is the changing network conditions and the resulting .uctuations in available bandwidth.”