MPEG-4 Video Transfer with TCP-Friendly Rate Control
MMNS '01 Proceedings of the 4th IFIP/IEEE International Conference on Management of Multimedia Networks and Services: Management of Multimedia on the Internet
Impact of FEC overhead on scalable video streaming
NOSSDAV '05 Proceedings of the international workshop on Network and operating systems support for digital audio and video
Distributed media-aware rate allocation for wireless video streaming
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
IEEE Transactions on Multimedia
Rate-Distortion Analysis and Quality Control in Scalable Internet Streaming
IEEE Transactions on Multimedia
Bandwidth allocation strategies for transporting variable bit rate video traffic
IEEE Communications Magazine
Analysis of video transmission over lossy channels
IEEE Journal on Selected Areas in Communications
Streaming video over the Internet: approaches and directions
IEEE Transactions on Circuits and Systems for Video Technology
Video multicast using layered FEC and scalable compression
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
RPT: re-architecting loss protection for content-aware networks
NSDI'12 Proceedings of the 9th USENIX conference on Networked Systems Design and Implementation
A scheduling method considering heterogeneous clients for NVoD systems
Proceedings of the 10th International Conference on Advances in Mobile Computing & Multimedia
A resource scheduling approach for media uploading in video data center
PCM'12 Proceedings of the 13th Pacific-Rim conference on Advances in Multimedia Information Processing
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This paper presents a novel scheme, Layered Internet Video Engineering (LIVE), in which network nodes feed back virtual congestion levels to video senders to assist both media-aware bandwidth sharing and transient loss protection. The video senders respond to such feedback by adapting the rates of encoded H.264/SVC streams based on their respective video rate-distortion (R-D) characteristics. The same feedback is employed to calculate the amount of forward error correction (FEC) protection for combating transient losses. Simulation studies show that LIVE can minimize the total distortion of all participating video streams and hence maximize their overall quality. At steady state, video streams experience no queueing delays or packet losses. In face of transient congestion, the network-assisted adaptive FEC scheme effectively protects video packets from losses while minimizing overhead. Our theoretical analysis further guarantees system stability for an arbitrary number of streams with heterogenous round trip delays below a prescribed limit. Finally, we show that LIVE streams can coexist with TCP flows within the existing explicit congestion notification (ECN) framework.