A unified traffic model for MPEG-4 and H.264 video traces

IEEE Transactions on Multimedia

Volumn 11, Issue 5, 2009, Pages 1010-1023

  Dai, Min ^a   Zhang, Yueping ^b   Loguinov, Dmitri ^c  

^a QUALCOMM INC   (United States)

^b NEC LABORATORIES AMERICA   (United States)

^c TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Inter GOP correlation; Intra GOP correlation; Long range dependency; Short range dependency; Video traffic modeling; Wavelet

Indexed keywords

INTER-GOP CORRELATION; INTRA-GOP CORRELATION; LONG-RANGE DEPENDENCY; SHORT-RANGE DEPENDENCY; VIDEO TRAFFIC MODELING; WAVELET;

BITS; MOTION PICTURE EXPERTS GROUP STANDARDS; REGRESSION ANALYSIS;

CORRELATION METHODS;

EID: 68549094352     PISSN: 15209210     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMM.2009.2021802     Document Type: Article

References (36)

1. O. Cappé, E. Moulines, and T. Ryden, Inference in Hidden Markov Models, ser. Statistics. New York: Springer, 2005.
2. K. Chandra and A. R. Reibman, "Modeling one- and two-layer variable bit rate video," IEEE/ACM Trans. Netw., vol. 7, no. 3, pp. 398-413, Jun. 1999.
3. T. P.-C. Chen and T. Chen, "Markov modulated punctured autoregres-sive processes for video traffic and wireless channel modeling," Packet Video, Apr. 2002.
4. A. L. Corte, A. Lombardo, S. Palazzo, and S. Zinna, "Modeling activity in VBR video sources," Signal Process.: Image Commun., vol. 3, no. 2-3, pp. 167-178, Jun. 1991.
5. M. Dai and D. Loguinov, "Analysis and modeling of MPEG-4 and H.264 multi-layer video traffic," in Proc. IEEE INFOCOM, Mar. 2005.
6. M. Dai, Y. Zhang, and D. Loguinov, A Unified Traffic Model for MPEG-4 and H.264 Video Traces (Extended Version), Jul. 2008, Texas A&M Tech. Rep.
7. P. Embrechts, F. Lindskog, and A. McNeil, Correlation and Dependence in Risk Management: Properties and Pitfalls. Cambridge, U.K.: Cambridge Univ. Press, 2002.
8. P. Embrechts, F. Lindskog, and A. J. McNeil, "Modelling Dependence with Copulas and Applications to Risk Management," in Handbook of Heavy Tailed Distributions in Finance. Amsterdam, The Netherlands: Elsevier/North-Holland, 2003.
9. F. H. P. Fitzek and M. Reisslein, MPEG-4 and H.263 Video Traces for Network Performance Evaluation (Extended Version). [Online]. Available: http://www-tkn.ee.tu-berlin.de.
10. M. Frey and S. Nguyen-Quang, "A gamma-based framework for modeling variable-rate MPEG video sources: The GOP GBAR model," IEEE/ACM Trans. Netw., vol. 8, no. 6, pp. 710-719, Dec. 2000.
11. M. Krunz and S. K. Tripathi, "On the characterization of VBR MPEG streams," Proc. ACM SIGMETRICS, vol. 25, Jun. 1997.
12. M. Krunz and A. Makowski, "Modeling video traffic using M/G/infinity input processes: A compromise between Markovian and LRD models," IEEE J. Select. Areas Commun., vol. 16, no. 5, pp. 733-748, Jun. 1998.
13. M. W. Garrett and W. Willinger, "Analysis, modeling and generation of self-similar VBR video traffic," Proc. ACM SIGCOMM, Aug. 1994.
14. J. C. Goswami and A. K. Chan, Fundamentals of Wavelets: Theory, Algortihms, and Applications. New York: Wiley, 1999.
15. D. P. Heyman, A. Tabatabai, and T. V. Lakshman, "Statistical analysis and simulation study of video teleconference traffic in ATM networks," IEEE Trans. Circuits Syst. Video Technol., vol. 2, no. 1, pp. 49-59, Mar. 1992.
16. D. P. Heyman, "The GBAR source model for VBR video conferences," IEEE/ACM Trans. Netw., vol. 5, no. 4, pp. 554, 560, Aug. 1997.
17. C. Huang, M. Devetsikiotis, I. Lambadaris, and A. R. Kaye, "Modeling and simulation of self-similar variable bit rate compressed video: A unified approach," in Proc. ACM SIGCOMM, Aug. 1995.
18. M. R. Ismail, I. E. Lambadaris, M. Devetsikiotis, and A. R. Kaye, "Modeling prioritized MPEG video using TES and a frame spreading strategy for transmissionin ATM networks," in Proc. IEEE INFOCOM, Apr. 1995.
19. A. Lombardo, G. Morabito, and G. Schembra, "An accurate and treatable Markov model ofMPEG-video traffic," in Proc. IEEE INFOCOM, Mar. 1998.
20. A. Lombardo, G. Morabito, S. Palazzo, and G. Schembra, "A Markov-based algorithm for the generation of MPEG sequences matching intra-and inter-GoP correlation," Eur. Trans. Telecommun., vol. 12, no. 2, pp. 127-142, Apr. 2001.
21. D. Liu, E. I. Sára, and W. Sun, "Nested auto-regressive processes for MPEG-encoded video traffic modeling," IEEE Trans. Circuits Syst. Video Technol., vol. 11, no. 2, pp. 169, 183, Feb. 2001.
22. S. Ma and C. Ji, "Modeling heterogeneous network traffic in wavelet domain," IEEE/ACM Trans. Netw., vol. 9, no. 5, pp. 634-649, Oct. 2001.
23. B. Maglaris, D. Anastassiou, P. Sen, G. Karlsson, and J. Robbins, "Performance models of statistical multiplexing in packet video communications," IEEE Trans. Commun., vol. 36, no. 7, pp. 834-844, Jul. 1988.
24. B. Melamed and D. E. Pendarakis, "Modeling full-length VBR video using Markov-renewal-modulated TES models," IEEE J. Select. Areas Commun., vol. 16, no. 5, pp. 600-611, Jun. 1998.
25. K. Park and W. Willinger, Self-Similar Network Traffic and Performance Evaluation. New York: Wiley, 2000.
26. H. Radha, M. van der Schaar, and Y. Chen, "The MPEG-4 fine-grained scalable video coding method for multimedia streaming over IP," IEEE Trans. Multimedia, vol. 3, no. 1, pp. 53-68, Mar. 2001.
27. G. Ramamurthy and B. Sengupta, "Modeling and analysis of a variable bit rate multiplexer," in Proc. IEEE INFOCOM, Florence, Italy, 1992.
28. M. Reisslein, J. Lassetter, S. Ratnam, O. Lotfallah, F. H. P. Fitzek, and S. Panchanathan, Video Traces for Network Performance Evaluation. [Online]. Available: http://trace.eas.asu.edu.
29. V. J. Ribeiro, R. H. Riedi, M. S. Crouse, and R. G. Baraniuk, "Multiscale queuing analysis of long-range-dependent network traffic," in Proc. IEEE INFOCOM, Mar. 2000.
30. O. Rose, "Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems," in Proc. 20th Annu. Conf. Local Computer Networks, Oct. 1995.
31. O. Rose, "Simple and efficient models for variable bit rate MPEG video traffic," Perform. Eval., vol. 30, no. 1-2, pp. 69-85, 1997.
32. U. K. Sarkar, S. Ramakrishnan, and D. Sarkar, "Modeling full-length video using Markov-modulated gamma-based framework,"IEEE/ACM Trans. Netw., vol. 11, no. 4, pp. 638-649, Aug. 2003.
33. Y. Wang, J. Ostermann, and Y.-Q. Zhang, Video Processing and Communications. Englewood Cliffs, NJ: Prentice-Hall, 2001.
34. Y. Wang, A. R. Reibman, and S. Lin, "Multiple description coding for video delivery," Proc. IEEE, vol. 93, no. 1, pp. 57-70, Jan. 2005.
35. G. W. Wornell, Signal Processing With Fractals: A Wavelet Based Approach. Englewood Cliffs, NJ: Prentice-Hall, 1996.
36. J.-A. Zhao, B. Li, and I. Ahmad, "Traffic model for layered video: An approach on Markovian arrival process," Packet Video, Apr. 2003.