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International Journal of Digital Multimedia Broadcasting
Volume 2010 (2010), Article ID 608138, 17 pages
Research Article

Video Quality Prediction Models Based on Video Content Dynamics for H.264 Video over UMTS Networks

1Centre for Signal Processing and Multimedia Communication, School of Computing, Communications and Electronics, University of Plymouth, Plymouth PL4 8AA, UK
2Department of Electronics and Telecommunications, University of the Basque Country (UPV/EHU), 48013 Bilbao, Spain
3Institute of Informatics and Telecommunications, NCSR Demokritos, 15310 Athens, Greece

Received 30 October 2009; Accepted 18 February 2010

Academic Editor: Daniel Negru

Copyright © 2010 Asiya Khan 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. 3GPP TS 25.322, “Third Generation Partnership Project: Technical Specification Group Access network; Radio Link Control,” RLC Specification (Release 5).
  2. ITU-T. Rec P.800, “Methods for subjective determination of transmission quality,” 1996.
  3. Video quality experts group, “Multimedia group test plan,” Draft version 1.8, December 2005,
  4. Z. Wang, L. Lu, and A. C. Bovik, “Video quality assessment based on structural distortion measurement,” Signal Processing: Image Communication, vol. 19, no. 2, pp. 121–132, 2004. View at Publisher · View at Google Scholar · View at Scopus
  7. M. Ries, O. Nemethova, and M. Rupp, “Video quality estimation for mobile H.264/AVC video streaming,” Journal of Communications, vol. 3, no. 1, pp. 41–50, 2008. View at Google Scholar
  8. H. Koumaras, A. Kourtis, C.-H. Lin, and C.-K. Shieh, “A theoretical framework for end-to-end video quality prediction of MPEG-based sequences,” in Proceedings of the 3rd International Conference on Networking and Services (ICNS '07), June 2007. View at Publisher · View at Google Scholar · View at Scopus
  9. K. Yamagishi, T. Tominaga, T. Hayashi, and A. Takahashi, “Objective quality evaluation model for videophone services,” NTT Technical Review, vol. 5, no. 6, 2007. View at Google Scholar · View at Scopus
  10. P. Calyam, E. Ekici, C.-G. Lee, M. Haffner, and N. Howes, “A “GAP-model” based framework for online VVoIP QoE measurement,” Journal of Communications and Networks, vol. 9, no. 4, pp. 446–456, 2007. View at Google Scholar · View at Scopus
  11. Q. Huynh-Thu and M. Ghanbari, “Temporal aspect of perceived quality in mobile video broadcasting,” IEEE Transactions on Broadcasting, vol. 54, no. 3, pp. 641–651, 2008. View at Publisher · View at Google Scholar · View at Scopus
  12. A. Khan, L. Sun, and E. Ifeachor, “Content-based video quality prediction for MPEG4 video streaming over wireless networks,” Journal of Multimedia, vol. 4, no. 4, pp. 228–239, 2009. View at Google Scholar
  13. W. Karner, O. Nemethova, and M. Rupp, “The impact of link error modeling on the quality of streamed video in wireless networks,” in Proceedings of the 3rd International Symposium on Wireless Communication Systems (ISWCS '06), pp. 694–698, Valencia, Spain, September 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. M. Rossi, L. Scaranari, and M. Zorzi, “Error control techniques for efficient multicast streaming in UMTS networks: proposals and performance evaluation,” Journal on Systemics, Cybernetics and Informatics, vol. 2, no. 3, 2004. View at Google Scholar
  15. H. Peteghem, L. Schumacher, and C. De Vleeschouwer, UMTS Parameterization for Real-Time Flows, Qshine, Vancouver, Canada, August 2007.
  16. A. Panchaem, S. Kamolpiwong, M. Unhawiwat, and S. Saewong, “Evaluation of UMTS RLC parameters for MPEG4 video streaming,” ECTI Transactions on Computer and Information Technology, vol. 3, no. 1, 2007. View at Google Scholar
  17. J. O. Fajardo, F. Liberal, and N. Bilbao, “Impact of the video slice size on the visual quality for H.264 over 3G UMTS services,” in Proceedings of the 6th International Conference on Broadband Communications, Networks and Systems, (BROADNETS '09), Madrid, Spain, September 2009. View at Publisher · View at Google Scholar · View at Scopus
  18. A. Lo, G. J. Heijenk, and I. G. M. M. Niemegeers, “Performance evaluation of MPEG-4 video streaming over UMTS networks using an integrated tool environment,” in Proceedings of the International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS '05), pp. 676–682, Philadelphia, Pa, USA, July 2005.
  19. M. Malkowski and D. ClaBen, “Performance of video telephony services in UMTS using live measurements and network emulation,” Wireless Personal Communications, vol. 46, no. 1, pp. 19–32, 2008. View at Publisher · View at Google Scholar · View at Scopus
  20. E. N. Gilbert, “Capacity of a burst-noise channel,” Bell Systems Technical Journal, vol. 39, pp. 1253–1265, 1960. View at Google Scholar
  21. R. W. Lucky, “Automatic equalization for digital communication,” Bell Systems Technical Journal, vol. 44, no. 4, pp. 547–588, 1965. View at Google Scholar
  22. ITU-T Rec. M.60, 3008; ITU-T Rec.Q.9, 0222.
  23. W. Karner, O. Nemethova, P. Svoboda, and M. Rupp, “Link error analysis and modeling for video streaming cross-layer design in mobile communication networks,” ETRI Journal, vol. 29, no. 5, pp. 569–595, 2007. View at Google Scholar · View at Scopus
  24. M. Zorzi and R. R. Rao, “Perspectives on the impact of error statistics on protocols for wireless networks,” IEEE Personal Communications, vol. 6, no. 5, pp. 32–40, 1999. View at Publisher · View at Google Scholar · View at Scopus
  25. J.-S. R. Jang, “ANFIS: adaptive-network-based fuzzy inference system,” IEEE Transactions on Systems, Man and Cybernetics, vol. 23, no. 3, pp. 665–685, 1993. View at Publisher · View at Google Scholar · View at Scopus
  26. “JM H.264 Software,”
  27. “OPNET for research,”
  28. “Raw video sequences,”
  29. J. Klaue, B. Rathke, and A. Wolisz, “EvalVid—a framework for video transmission and quality evaluation,” in Proceedings of the 13th International Conference on Modelling Techniques and Tools for Computer Performance Evaluation, vol. 2794, pp. 255–272, Urbana, Ill, USA, 2003. View at Scopus
  30. G. W. Snedecor and W. G. Cochran, Statistical Methods, Iowa State University Press, Iowa, Iowa, USA, 8th edition, 1989.
  31. Y. Hochberg and A. C. Tamhane, Multiple Comparison Procedures, John Wiley & Sons, New York, NY, USA, 1987.
  32. G. Rubino, M. Varela, and J.-M. Bonnin, “Controlling multimedia QoS in the future home network using the PSQA metric,” Computer Journal, vol. 49, no. 2, pp. 137–155, 2006. View at Publisher · View at Google Scholar · View at Scopus