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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.4 P.543-548

http://doi.org/10.1631/jzus.2006.A0543


Segment-based traffic smoothing algorithm for VBR video stream


Author(s):  Liu Yun-qiang, Yu Song-yu, Wang Xiang-wen, Zhou Jun

Affiliation(s):  Institute of Image Communication and Information Processing, Shanghai Jiao Tong University, Shanghai 200030, China

Corresponding email(s):   liuyunq@sjtu.edu.cn

Key Words:  Segmentation, Traffic smoothing, Variable bit rate (VBR) video


Liu Yun-qiang, Yu Song-yu, Wang Xiang-wen, Zhou Jun. Segment-based traffic smoothing algorithm for VBR video stream[J]. Journal of Zhejiang University Science A, 2006, 7(4): 543-548.

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author="Liu Yun-qiang, Yu Song-yu, Wang Xiang-wen, Zhou Jun",
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year="2006",
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doi="10.1631/jzus.2006.A0543"
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%A Wang Xiang-wen
%A Zhou Jun
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.A0543

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T1 - Segment-based traffic smoothing algorithm for VBR video stream
A1 - Liu Yun-qiang
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SP - 543
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PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.2006.A0543


Abstract: 
Transmission of variable bit rate (VBR) video, because of the burstiness of VBR video traffic, has high fluctuation in bandwidth requirement. traffic smoothing algorithm is very efficient in reducing burstiness of the VBR video stream by transmitting data in a series of fixed rates. We propose in this paper a novel segment-based bandwidth allocation algorithm which dynamically adjusts the segmentation boundary and changes the transmission rate at the latest possible point so that the video segment will be extended as long as possible and the number of rate changes can be as small as possible while keeping the peak rate low. Simulation results showed that our approach has small bandwidth requirement, high bandwidth utilization and low computation cost.

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

Reference

[1] Feng, W., Rexford, J., 1999. Performance evaluation of smoothing algorithms for transmitting prerecorded variable-bit-rate video. IEEE Trans. Multimedia, 1(3):302-312.

[2] Feng, W., Jahanian, F., Sechrest, S., 1997. Optimal buffering for the delivery of compressed video. Multimedia Systems, 5(5):297-309.

[3] Grossglauser, M., Keshav, S., Tse, D., 1997. RCBR: A simple and efficient service for multiple time-scale traffic. IEEE/ACM Trans. Networking, 5(6):741-755.

[4] Hadar, O., Cohen, R., 2001. PCRTT enhancement for off-line video smoothing. Real-time Imaging, 7(3):301-304.

[5] McManus, J.M., Ross, K.W., 1996. Video on demand over ATM: Constant rate transmission and transport. IEEE J. Selected Areas Commun., 14(6):1087-1098.

[6] McManus, J.M., Ross, K.W., 1998. A dynamic programming methodology for managing prerecorded VBR sources in packet-switched networks. Telecommunication Systems, 9(2):223-247.

[7] Rexford, J., Towsley, D., 1999. Smoothing variable-bit-rate video in an internetwork. IEEE/ACM Trans. Networking, 7(2):202-215.

[8] Salehi, J.D., Zhang, Z., Kurose, J., Towsley, D., 1998. Supporting stored video: Reducing rate variability and end-to-end resource requirements through optimal smoothing. IEEE/ACM Trans. Networking, 6(4):397-410.

[9] Ye, D., Barker, J., Xiong, Z., Zhu, W., 2004. Wavelet-based VBR video smoothing. IEEE Trans. Multimedia, 6(4):611-623.

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