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Received: 2005-12-15

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.100 P.48~53

http://doi.org/10.1631/jzus.2006.AS0048


A channel distortion model for video over lossy packet networks


Author(s):  Cheng Jian-Xin, Gao Zhen-Ming, Zhang Zhi-Chao

Affiliation(s):  School of Information Science and Engineering, Shandong University, Jinan 250100, China

Corresponding email(s):   jxcheng.cn@gmail.com

Key Words:  Channel distortion, Packet loss, Inter-frame error propagation, Correlation, Video communication


Cheng Jian-Xin, Gao Zhen-Ming, Zhang Zhi-Chao. A channel distortion model for video over lossy packet networks[J]. Journal of Zhejiang University Science A, 2006, 7(100): 48~53.

@article{title="A channel distortion model for video over lossy packet networks",
author="Cheng Jian-Xin, Gao Zhen-Ming, Zhang Zhi-Chao",
journal="Journal of Zhejiang University Science A",
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number="100",
pages="48~53",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.AS0048"
}

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%A Cheng Jian-Xin
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%J Journal of Zhejiang University SCIENCE A
%V 7
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.AS0048

TY - JOUR
T1 - A channel distortion model for video over lossy packet networks
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A1 - Gao Zhen-Ming
A1 - Zhang Zhi-Chao
J0 - Journal of Zhejiang University Science A
VL - 7
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EP - 53
%@ 1673-565X
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2006.AS0048


Abstract: 
Error-resilient video communication over lossy packet networks is often designed and operated based on models for the effect of losses on the reconstructed video quality. This paper analyzes the channel distortion for video over lossy packet networks and proposes a new model that, compared to previous models, more accurately estimates the expected mean-squared error distortion for different packet loss patterns by accounting for inter-frame error propagation and the correlation between error frames. The accuracy of the proposed model is validated with JVT/H.264 encoded standard test sequences and previous frame concealment, where the proposed model provides an obvious accuracy gain over previous models.

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

Reference

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[2] Chakareski, J., Chou, P.A., Girod, B., 2002. Rate-Distortion Optimized Streaming from the Edge of the Network. Proc. Workshop on Multimedia Signal Processing, IEEE. St. Thomas, US Virgin Islands, p.49-52.

[3] Liang, Y.J., Girod, B., 2002. Low-latency Streaming of Pre-encoded Video Using Channel-adaptive Bitstream Assembly. Proc. Int’l Conf. Multimedia and Exhibition, IEEE. Lausanne, Switzerland, 1:873-876.

[4] Liang, Y.J., Apostolopoulos, J.G., Girod, B., 2003. Analysis of Packet Loss for Compressed Video: Does Burst-length Matter. Proc. Int’l Conf. Acoustics, Speech, and Signal Processing, IEEE. Hong Kong, China, 5:684-687.

[5] Stuhlmuller, K., Farber, N., Link, M., Girod, B., 2000. Analysis of video transmission over lossy channels. IEEE J. Selected Areas in Communications, 18(6):1012-1032.

[6] Tan, W.T., Zakhor, A., 2001. Video multicast using layered FEC and scalable compression. IEEE Trans. Circuits and Systems for Video Technology, 11(3):373-378.

[7] Telecommunication Standardization Sector of ITU, 2003. Video Coding for Low Bit Rate Communication. Draft ITU-T Recommendation H.264.

[8] Wang, Y., Ostermann, J., Zhang, Y.Q., 2002. Video Processing and Communications. Pearson Education, Inc.

[9] Zhang, R., Regunathan, S.L., Rose, K., 2000. Video coding with optimal intel/intra-mode switching for packet loss resilience. IEEE J. Selected Areas in Communications, 18(6):966-976.

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