Table of Contents Author Guidelines Submit a Manuscript
Journal of Computer Networks and Communications
Volume 2013, Article ID 614157, 10 pages
http://dx.doi.org/10.1155/2013/614157
Research Article

Characteristics of Video Traffic from Videoconference Applications: From H.261 to H.264

1Multimedia Technology Laboratory, School of Electrical and Computer Engineering, National Technical University of Athens “NTUA”, Zographou 15780, Attiki, Greece
2National Center for Scientific Research “DEMOKRITOS”, Institute of Informatics and Telecommunications, Ag. Paraskevi 15310, Attiki, Greece

Received 10 September 2012; Accepted 4 December 2012

Academic Editor: Rui Zhang

Copyright © 2013 S. Domoxoudis et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. B. Maglaris, D. Anastassiou, P. Sen, G. Karlsson, and J. D. Robbins, “Performance models of statistical multiplexing in packet video communications,” IEEE Transactions on Communications, vol. 36, no. 7, pp. 834–843, 1988. View at Google Scholar · View at Scopus
  2. R. Kishimoto, Y. Ogata, and F. Inumara, “Generation interval distribution characteristics of packetized variable rate video coding data streams in an ATM network,” IEEE Journal on Selected Areas in Communications, vol. 7, no. 5, pp. 833–841, 1989. View at Publisher · View at Google Scholar · View at Scopus
  3. H. S. Chin, J. W. Goodge, R. Griffiths, and D. J. Parish, “Statistics of video signals for viewphone-type pictures,” IEEE Journal on Selected Areas in Communications, vol. 7, no. 5, pp. 826–832, 1989. View at Publisher · View at Google Scholar · View at Scopus
  4. M. Nomura, T. Fujii, and N. Ohta, “Basic characteristics of variable rate video coding in ATM environment,” IEEE Journal on Selected Areas in Communications, vol. 7, no. 5, pp. 752–760, 1989. View at Publisher · View at Google Scholar · View at Scopus
  5. D. P. Heyman, A. Tabatabai, and T. V. Lakshman, “Statistical analysis and simulation study of video teleconference traffic in ATM networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 2, no. 1, pp. 49–59, 1992. View at Publisher · View at Google Scholar · View at Scopus
  6. D. M. Cohen and D. P. Heyman, “Performance modeling of video teleconferencing in ATM networks,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 3, no. 6, pp. 408–422, 1993. View at Publisher · View at Google Scholar · View at Scopus
  7. D. Heyman and T. V. Lakshman, “Modeling teleconference traffic from VBR video coders,” in Proceedings of the IEEE International Conference on Communications, pp. 1744–1748, May 1994. View at Scopus
  8. D. M. Lucantoni and M. F. Neuts, “Methods for performance evaluation of VBR video traffic models,” IEEE/ACM Transactions on Networking, vol. 2, no. 2, pp. 176–180, 1994. View at Publisher · View at Google Scholar · View at Scopus
  9. P. A. Jacobs and P. A. W. Lewis, “Time series generated by mixtures,” Journal of Time Series Analysis, vol. 4, no. 1, pp. 19–36, 1983. View at Google Scholar
  10. A. Elwalid, D. Heyman, T. V. Lakshman, D. Mitra, and A. Weiss, “Fundamental bounds and approximations for ATM multiplexers with applications to video teleconferencing,” IEEE Journal on Selected Areas in Communications, vol. 13, no. 6, pp. 1004–1016, 1995. View at Publisher · View at Google Scholar · View at Scopus
  11. D. P. Heyman, “The GBAR source model for VBR videoconferences,” IEEE/ACM Transactions on Networking, vol. 5, no. 4, pp. 554–560, 1997. View at Google Scholar · View at Scopus
  12. R. Bo, “Modeling and simulation of broadband satellite networks—part II: traffic modeling,” IEEE Communications Magazine, vol. 37, no. 7, pp. 48–56, 1999. View at Publisher · View at Google Scholar · View at Scopus
  13. A. Erramilli, O. Narayan, and W. Willinger, “Experimental queueing analysis with long-range dependent packet traffic,” IEEE/ACM Transactions on Networking, vol. 4, no. 2, pp. 209–223, 1996. View at Google Scholar · View at Scopus
  14. G. Sisodia, L. Guan, M. Hedley, and S. De, “A new modeling approach of H.263+ VBR coded video sources in ATM networks,” Real-Time Imaging, vol. 6, no. 5, pp. 347–357, 2000. View at Publisher · View at Google Scholar · View at Scopus
  15. K. Dolzer and W. Payer, “On aggregation strategies for multimedia traffic,” in Proceedings of the 1st Polish-German Teletraffic Symposium (PGTS '00), Dresden, Germany, September 2000.
  16. W. C. Poon and K. T. Lo, “A refined version of M/G/∞ processes for modelling VBR video traffic,” Computer Communications, vol. 24, no. 11, pp. 1105–1114, 2001. View at Publisher · View at Google Scholar · View at Scopus
  17. L. Yan-ling, W. Peng, and W. Wei-ling, “A steady source model for VBR video conferences,” in Proceedings of the International Conference on Information Technology: Computers and Communications, Las Vegas, Nev, USA, 2003.
  18. A. Lazaris, P. Koutsakis, and M. Paterakis, “A new model for video traffic originating from multiplexed MPEG-4 videoconference streams,” Performance Evaluation, vol. 65, no. 1, pp. 51–70, 2007. View at Google Scholar · View at Scopus
  19. F. H. P. Fitzek and M. Reisslein, “MPEG-4 and H.263 video traces for network performance evaluation,” IEEE Network, vol. 15, no. 6, pp. 40–54, 2001. View at Publisher · View at Google Scholar · View at Scopus
  20. C. Skianis, K. Kontovasilis, A. Drigas, and M. Moatsos, “Measurement and statistical analysis of asymmetric multipoint videoconference traffic in IP networks,” Telecommunication Systems, vol. 23, no. 1-2, pp. 95–122, 2003. View at Publisher · View at Google Scholar · View at Scopus
  21. ITU Recommendation, H.261: Video Codec for Audiovisual Services at 64 Kbit/s, 1993.
  22. ITU Recommendation, H.263: Video Coding for Low Bit Rate Communication, 2005.
  23. H.263 Standard, Overview and TMS320C6x Implementation, White Paper, http://www.ubvideo.com.
  24. ITU Recommendation, H.264: Advanced Video Coding for Generic Audiovisual Services, 2007.
  25. R. Frederick, Experiences With Real-Time Software Video Compression, Xerox Parc, 1994.
  26. S. Domoxoudis, S. Kouremenos, V. Loumos, and A. Drigas, “Measurement, modelling and simulation of videoconference traffic from VBR video encoders,” in Proceedings of the 2nd International Working Conference on the Performance Modelling and Evaluation of Heterogeneous Networks (HET-NETs '04), Ilkley, West Yorkshire, UK, July 2004.
  27. The ViC Tool, http://www-mice.cs.ucl.ac.uk/multimedia/software/vic.
  28. VCON Vpoint HD, http://www.vcon.com.
  29. Polycom PVX, http://www.polycom.com.
  30. France Telecom eConf, http://www.rd.francetelecom.com.
  31. Sorenson EnVision, http://www.sorensonvrs.com.
  32. S. Domoxoudis, S. Kouremenos, A. Drigas, and V. Loumos, “Frame-based modeling of H.264 constrained videoconference traffic over an IP commercial platform,” in Proceedings of the 2nd International IEEE/Create-Net Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, pp. 216–221, Barcelona, Spain, March 2006. View at Publisher · View at Google Scholar · View at Scopus
  33. OpenH323 Project, http://openh323.org.
  34. S. R. McCanne, “Scalable compression and transmission of internet multicast video,” Tech. Rep. UCB/CSD-96-928, Computer Science Division (EECS), University of California, Berkeley, Calif, USA, 1996, 94720. View at Google Scholar
  35. L. D. McMahan, Video conferencing over an ATM network [thesis], California State University, Northridge, Calif, USA, 1997.
  36. MorningSound, http://www.soundmorning.com/.
  37. T. V. Lakshman, A. Ortega, and A. R. Reibman, “VBR video: tradeoffs and potentials,” Proceedings of the IEEE, vol. 86, no. 5, pp. 952–972, 1998. View at Google Scholar · View at Scopus