iDASH: improved dynamic adaptive streaming over HTTP using scalable video coding

Authors:
Yago Sánchez de la Fuente;Thomas Schierl;Cornelius Hellge;Thomas Wiegand;Dohy Hong;Danny De Vleeschauwer;Werner Van Leekwijck;Yannick Le Louédec
Affiliations:
Fraunhofer HHI, Berlin, Germany;Fraunhofer HHI, Berlin, Germany;Fraunhofer HHI, Berlin, Germany;Fraunhofer HHI, Berlin, Germany;N2N SOFT, PARIS, France;Bell Labs - Alcatel Lucent, Belgium;Bell Labs - Alcatel Lucent, Belgium;Orange-FT, France
Venue:
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
Year:
2011

Citing 7
Cited 7

Efficient Replacement of Nonuniform Objects in Web Caches

Computer
A survey of Web cache replacement strategies

ACM Computing Surveys (CSUR)
An analysis of live streaming workloads on the internet

Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
Caching video objects: layers vs versions?

Multimedia Tools and Applications
Priority-based Media Delivery using SVC with RTP and HTTP streaming

Multimedia Tools and Applications
Overview of the H.264/AVC video coding standard

IEEE Transactions on Circuits and Systems for Video Technology
Overview of the Scalable Video Coding Extension of the H.264/AVC Standard

IEEE Transactions on Circuits and Systems for Video Technology

Quality selection for Dynamic Adaptive Streaming over HTTP with Scalable Video Coding

Proceedings of the 3rd Multimedia Systems Conference
Adaptive scalable video streaming in wireless networks

Proceedings of the 3rd Multimedia Systems Conference
An experimental evaluation of rate-adaptive video players over HTTP

Image Communication
Efficient HTTP-based streaming using Scalable Video Coding

Image Communication
SVC-Based HTTP Adaptive Streaming

Bell Labs Technical Journal
Adaptive Transmission Control Protocol-trunking flow control mechanism for supporting proxy-assisted video on demand system

International Journal of Communication Systems
Joint In-network Video Rate Adaptation and Measurement-Based Admission Control: Algorithm Design and Evaluation

Journal of Network and Systems Management

Quantified Score

Hi-index	0.02

Visualization

Abstract

HTTP-based delivery for Video on Demand (VoD) has been gaining popularity within recent years. Progressive Download over HTTP, typically used in VoD, takes advantage of the widely deployed network caches to relieve video servers from sending the same content to a high number of users in the same access network. However, due to a sharp increase in the requests at peak hours or due to cross-traffic within the network, congestion may arise in the cache feeder link or access link respectively. Since the connection characteristics may vary over the time, with Dynamic Adaptive Streaming over HTTP (DASH), a technique that has been recently proposed, video clients may dynamically adapt the requested video quality for ongoing video flows, to match their current download rate as good as possible. In this work we show the benefits of using the Scalable Video Coding (SVC) for such a DASH environment.