Effective Relay Communication for Scalable Video Transmission
In this paper, we propose an effective relay
communication for layered video transmission as an alternative to
make the most of limited resources in a wireless communication
network where loss often occurs. Relaying brings stable multimedia
services to end clients, compared to multiple description coding
(MDC). Also, retransmission of only parity data about one or more
video layer using channel coder to the end client of the relay device is
paramount to the robustness of the loss situation. Using these
methods in resource-constrained environments, such as real-time user
created content (UCC) with layered video transmission, can provide
high-quality services even in a poor communication environment.
Minimal services are also possible. The mathematical analysis shows
that the proposed method reduced the probability of GOP loss rate
compared to MDC and raptor code without relay. The GOP loss rate
is about zero, while MDC and raptor code without relay have a GOP
loss rate of 36% and 70% in case of 10% frame loss rate.
[1] H. Schwarz, D. Marpe, and T. Wiegand, "Overview of the scalable
video coding extension of the H.264/AVC standard," IEEE Transactions
on Circuits and Systems for Video Technology, Vol. 17, No. 9, pp. 1103-
1120, September 2007.
[2] V. K. Goyal, "Multiple description coding: Compression meets the
network," IEEE Signal Processing Magazine, Vol. 18, No. 5, pp. 74-93,
September 2001.
[3] Z. J. Zhao, and J. Ostermann, "Video streaming using standardcompatible
scalable multiple description coding based on SVC,"
submitted to IEEE International Conference on Image Processing,
September 2010.
[4] R.U. Naber, H. Bölcskei, F.W. Kneub├╝hler, "Fading relay channels:
Performance limits and space-time signal design," IEEE Journal on
Selected Areas in Communications, Vol. 22, No. 6, pp. 1099-1109,
August 2004.
[5] G. Kramer, M. Gastpar, and P. Gupta, "Cooperative strategies and
capacity theorems for relay networks," IEEE Transactions on
Information Theory, Vol. 51, No. 6, pp. 3037-3063, September 2005.
[6] M. Gastpar, and M. Vetterli, "On the capacity of large Gaussian relay
networks," IEEE Transactions on Information Theory, Vol. 51, No. 3, pp.
765-779, March 2005.
[7] J. N. Laneman, D. N. C. Tse, G. W. Wornell, "Cooperative diversity in
wireless networks: Efficient protocols and outage behavior," IEEE
Transactions on Information and Theory, Vol. 50, No. 12, pp. 3062-3080,
December 2004.
[8] A. Bletsas, H. Shin, M. Z. Win, "Cooperative communications with
outage-optimal opportunistic relaying," IEEE Transactions on Wireless
Communications, Vol. 6, No. 9, pp. 1-11, September 2007.
[9] M. Luby, T. Gasiba, T. Stockhammer, M. Watson, "Reliable multimedia
download delivery in cellular broadcast networks," Broadcasting, IEEE
Transactions on Broadcasting, Vol. 53, No. 1, Part 2, pp235-246, March
2007.
[10] J. Reichel, H. Schwarz, M. Wien, eds., "Joint scalable video model 11
(JSVM 11)," Joint Video Team, doc. JVT-X202, Geneva, Switzerland,
July 2007.
[1] H. Schwarz, D. Marpe, and T. Wiegand, "Overview of the scalable
video coding extension of the H.264/AVC standard," IEEE Transactions
on Circuits and Systems for Video Technology, Vol. 17, No. 9, pp. 1103-
1120, September 2007.
[2] V. K. Goyal, "Multiple description coding: Compression meets the
network," IEEE Signal Processing Magazine, Vol. 18, No. 5, pp. 74-93,
September 2001.
[3] Z. J. Zhao, and J. Ostermann, "Video streaming using standardcompatible
scalable multiple description coding based on SVC,"
submitted to IEEE International Conference on Image Processing,
September 2010.
[4] R.U. Naber, H. Bölcskei, F.W. Kneub├╝hler, "Fading relay channels:
Performance limits and space-time signal design," IEEE Journal on
Selected Areas in Communications, Vol. 22, No. 6, pp. 1099-1109,
August 2004.
[5] G. Kramer, M. Gastpar, and P. Gupta, "Cooperative strategies and
capacity theorems for relay networks," IEEE Transactions on
Information Theory, Vol. 51, No. 6, pp. 3037-3063, September 2005.
[6] M. Gastpar, and M. Vetterli, "On the capacity of large Gaussian relay
networks," IEEE Transactions on Information Theory, Vol. 51, No. 3, pp.
765-779, March 2005.
[7] J. N. Laneman, D. N. C. Tse, G. W. Wornell, "Cooperative diversity in
wireless networks: Efficient protocols and outage behavior," IEEE
Transactions on Information and Theory, Vol. 50, No. 12, pp. 3062-3080,
December 2004.
[8] A. Bletsas, H. Shin, M. Z. Win, "Cooperative communications with
outage-optimal opportunistic relaying," IEEE Transactions on Wireless
Communications, Vol. 6, No. 9, pp. 1-11, September 2007.
[9] M. Luby, T. Gasiba, T. Stockhammer, M. Watson, "Reliable multimedia
download delivery in cellular broadcast networks," Broadcasting, IEEE
Transactions on Broadcasting, Vol. 53, No. 1, Part 2, pp235-246, March
2007.
[10] J. Reichel, H. Schwarz, M. Wien, eds., "Joint scalable video model 11
(JSVM 11)," Joint Video Team, doc. JVT-X202, Geneva, Switzerland,
July 2007.
@article{"International Journal of Electrical, Electronic and Communication Sciences:61691", author = "Jung Ah Park and Zhijie Zhao and Doug Young Suh and Joern Ostermann", title = "Effective Relay Communication for Scalable Video Transmission", abstract = "In this paper, we propose an effective relay
communication for layered video transmission as an alternative to
make the most of limited resources in a wireless communication
network where loss often occurs. Relaying brings stable multimedia
services to end clients, compared to multiple description coding
(MDC). Also, retransmission of only parity data about one or more
video layer using channel coder to the end client of the relay device is
paramount to the robustness of the loss situation. Using these
methods in resource-constrained environments, such as real-time user
created content (UCC) with layered video transmission, can provide
high-quality services even in a poor communication environment.
Minimal services are also possible. The mathematical analysis shows
that the proposed method reduced the probability of GOP loss rate
compared to MDC and raptor code without relay. The GOP loss rate
is about zero, while MDC and raptor code without relay have a GOP
loss rate of 36% and 70% in case of 10% frame loss rate.", keywords = "Relay communication, Multiple Description Coding,Scalable Video Coding", volume = "4", number = "8", pages = "1248-5", }