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

This paper presents modelling results for H.26x video traffic generated by popular videoconference software applications. The analysis of videoconference data, that were measured during realistic point-point videoconference sessions, led us to the general conclusion that the traffic can be distinguished into two categories: unconstrained and constrained. In the unconstrained traffic, there is a direct relation between the encoder and the form of the frequency histogram of the frame-size sequence. Moreover, for this type of traffic, strong correlations between successive video frames can be found. On the other hand, where bandwidth constraints are imposed during the encoding process, the generated traffic appears to exhibit similar characteristics for all the examined encoders with the very low autocorrelation values being the most notable one. On the basis of these results, this study proposes methods to calculate the parameters of a widely adopted autoregressive model for both types of traffic.

[1]  David M. Cohen,et al.  Performance modeling of video teleconferencing in ATM networks , 1993, IEEE Trans. Circuits Syst. Video Technol..

[2]  T. V. Lakshman,et al.  VBR video: tradeoffs and potentials , 1998, Proc. IEEE.

[3]  T. V. Lakshman,et al.  Statistical analysis and simulation study of video teleconference traffic in ATM networks , 1992, IEEE Trans. Circuits Syst. Video Technol..

[4]  Itu-T and Iso Iec Jtc.  Advanced video coding for generic audiovisual services , 2010 .

[5]  Bo Ryu,et al.  Modeling and simulation of broadband satellite networks. II. Traffic modeling , 1999, IEEE Commun. Mag..

[6]  Ron Frederick,et al.  Experiences With Real-Time Software Video Compression , 1994 .

[7]  Gunnar Karlsson,et al.  Performance models of statistical multiplexing in packet video communications , 1988, IEEE Trans. Commun..

[8]  T. V. Lakshman,et al.  Fundamental Bounds and Approximations for ATM Multiplexers with Applications to Video Teleconferencing , 1995, IEEE J. Sel. Areas Commun..

[9]  Aggelos Lazaris,et al.  A new model for video traffic originating from multiplexed MPEG-4 videoconference streams , 2008, Perform. Evaluation.

[10]  Athanasios Drigas,et al.  Frame-based modeling of H.264 constrained videoconference traffic over an IP commercial platform , 2006, 2nd International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities, 2006. TRIDENTCOM 2006..

[11]  Peter A. W. Lewis,et al.  STATIONARY DISCRETE AUTOREGRESSIVE‐MOVING AVERAGE TIME SERIES GENERATED BY MIXTURES , 1983 .

[12]  Daniel P. Heyman,et al.  The GBAR source model for VBR videoconferences , 1997, TNET.

[13]  Klaus Dolzer,et al.  On aggregation strategies for multimedia traffic , 2000 .

[14]  Athanasios Drigas,et al.  Modelling and Simulation of Videoconference Traffic from VBR Video Encoders , 2004 .

[15]  David J. Parish,et al.  Statistics of video signals for viewphone-type pictures , 1989, IEEE J. Sel. Areas Commun..

[16]  Marcel F. Neuts,et al.  Methods for performance evaluation of VBR video traffic models , 1994, TNET.

[17]  K. Rijkse,et al.  H.263: video coding for low-bit-rate communication , 1996, IEEE Commun. Mag..

[18]  Weiling Wu,et al.  A Steady Source Model for VBR Video Conferences , 2003, ITCC.

[19]  Ling Guan,et al.  A New Modeling Approach of H.263+ VBR Coded Video Sources in ATM Networks , 2000, Real Time Imaging.

[20]  T. V. Lakshman,et al.  Modeling teleconference traffic from VBR video coders , 1994, Proceedings of ICC/SUPERCOMM'94 - 1994 International Conference on Communications.

[21]  Athanasios Drigas,et al.  Measurement and Statistical Analysis of Asymmetric Multipoint Videoconference Traffic in IP Networks , 2003, Telecommun. Syst..

[22]  Mitsuru Nomura,et al.  Basic characteristics of variable rate video coding in ATM environment , 1989, IEEE J. Sel. Areas Commun..

[23]  Martin Reisslein,et al.  MPEG-4 and H.263 video traces for network performance evaluation , 2001, IEEE Netw..

[24]  Kwok-Tung Lo,et al.  A refined version of M/G/∞ processes for modelling VBR video traffic , 2001, Comput. Commun..

[25]  Martin Vetterli,et al.  Scalable compression and transmission of internet multicast video , 1996 .

[26]  R. Kishimoto,et al.  Generation interval distribution characteristics of packetized variable rate video coding data streams in an ATM network , 1989, IEEE J. Sel. Areas Commun..

[27]  Walter Willinger,et al.  Experimental queueing analysis with long-range dependent packet traffic , 1996, TNET.