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CLC number: TN919.8

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Received: 2005-12-10

Revision Accepted: 2006-02-26

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.5 P.749~754

http://doi.org/10.1631/jzus.2006.A0749


Streaming and congestion control using scalable video coding based on H.264/AVC


Author(s):  Nguyen Dieu Thanh, Ostermann Joern

Affiliation(s):  Institute of Information Technology, University of Hannover, Hannover 30167, Germany

Corresponding email(s):   nguyen@tnt.uni-hannover.de

Key Words:  Scalable video coding, Congestion control, Bandwidth estimation, Transport protocols, Retransmission


Nguyen Dieu Thanh, Ostermann Joern. Streaming and congestion control using scalable video coding based on H.264/AVC[J]. Journal of Zhejiang University Science A, 2006, 7(5): 749~754.

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author="Nguyen Dieu Thanh, Ostermann Joern",
journal="Journal of Zhejiang University Science A",
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pages="749~754",
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publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.A0749"
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0749

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T1 - Streaming and congestion control using scalable video coding based on H.264/AVC
A1 - Nguyen Dieu Thanh
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.A0749


Abstract: 
This paper presents a streaming system using scalable video coding based on H.264/AVC. The system provides a congestion control algorithm supported by channel bandwidth estimation of the client. It uses retransmission only for packets of the base layer to disburden the congested network. The bandwidth estimation allows for adjusting the transmission rate quickly to the current available bandwidth of the network. Compared to binomial congestion control, the proposed system allows for shorter start-up times and data rate adaptation. The paper describes the components of this streaming system and the results of experiments showing that the proposed approach works effectively for streaming video.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

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[2] Bansal, D., Balakrishnan, H., 2001. Binomial Congestion Control. IEEE INFOCOM.

[3] Feamster, N., Bansal, D., Balakrishnan, H., 2001. On the Interactions Between Layered Quality Adaptation and Congestion Control for Video Streaming. 11th International Packet Video Workshop. Kyongju, Korea.

[4] Ott, J., Wenger, S., Sato, N., Burmeister, C., Rey, J., 2004. Extended RTP Profile for RTCP-based Feedback (RTP/AVPF). Internet Engineering Task Force, Internet Draft, draft-ietf-avt-rtcp-feedback-11.txt.

[5] Paxson, V., 1997. Measurements and Analysis of End-to-End Internet Dynamics. Ph.D Dissertation, Computer Science Department, University of California at Berkeley.

[6] Perkins, C., 2003. RTP Audio and Video for the Internet. Addison-Wesley.

[7] Reichel, J., Schwarz, H., Wien, M., 2005a. Scalable Video Coding—Working Draft I. Joint Video Team of ITU-T VCEG and ISO/IEC MPEG, Doc. JVT-N020.

[8] Reichel, J., Schwarz, H., Wien, M., 2005b. Joint Scalable Video Model JSVM-3. Joint Video Team of ITU-T VCEG and ISO/IEC MPEG, Doc. JVT-P202.

[9] Schierl, T., Wiegand, T., 2004. H.264/AVC Rate Adaption forInternet Streaming. 14th International Packet Video Workshop. Irvine.

[10] Schulzrinne, H., Rao, A., Lanphierand, R., Jacobson, V., 1998. Real Time Streaming Protocol (RTSP). Internet Engineering Task Force, RFC 2326.

[11] Schulzrinne, H., Casner, S., Fredrick, R., Jacobson, V., 2003. RTP: A Transport Protocol for Real-Time Applications. Internet Engineering Task Force, RFC 3550.

[12] Wenger, S., Wang, Y.K., 2005. RTP Payload Format for SVC Video. Internet Engineering Task Force, Internet Draft, draft-wenger-avt-rtp-svc-00.txt.

[13] Yang, R.Y., Lam, S.S., 2000. Analysis of Binomial Congestion Control. Technical Report TR-00-14, Department of Computer Sciences, The University of Texas at Austin.

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