Full Text:
<2182>
CLC number: TN919.8
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
Cited: 0
Clicked: 3452
A channel distortion model for video over lossy packet networks
| |||||||||||||
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",
volume="7",
number="100",
pages="48-53",
year="2006",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2006.AS0048"
}
%0 Journal Article
%T A channel distortion model for video over lossy packet networks
%A Cheng Jian-Xin
%A Gao Zhen-Ming
%A Zhang Zhi-Chao
%J Journal of Zhejiang University SCIENCE A
%V 7
%N 100
%P 48-53
%@ 1673-565X
%D 2006
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2006.AS0048
TY - JOUR
T1 - A channel distortion model for video over lossy packet networks
A1 - Cheng Jian-Xin
A1 - Gao Zhen-Ming
A1 - Zhang Zhi-Chao
J0 - Journal of Zhejiang University Science A
VL - 7
IS - 100
SP - 48
EP - 53
%@ 1673-565X
Y1 - 2006
PB - Zhejiang University Press & Springer
ER -
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.
[1] Apostolopoulos, J.G., Tan, W., Wee, S.J., Wornell, G.W., 2002. Modeling Path Diversity for Multiple Description Video Communication. Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, ICASSP’02. Orlando, FL, 3:2161-2164.
[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.
Open peer comments: Debate/Discuss/Question/Opinion
<1>