Traffic and Quality Characterization of Scalable Encoded Video : A Large – Scale Trace – Based Study Part 1 : Overview and Definitions ∗ †

The Internet of the future and next generation wireless systems are expected to carry to a large extend video of heterogeneous quality and video that is scalable encoded (into multiple layers). However, due to a lack of long traces of heterogeneous and scalable encoded video, most video networking studies are currently conducted with traces of single layer (non–scalable) encoded video. In this technical report we present a publicly available library of traces of heterogeneous and scalable encoded video. The traces have been generated from over 15 videos of one hour each, which have been encoded into two layers using the temporal scalability and spatial scalability modes of MPEG–4. We provide both the frame sizes as well as the frame qualities (PSNR values) in the traces. In the forthcoming Parts 2, 3, and 4 of this technical report we study the statistical characteristics of the traces, including their long–range–dependence and multi–fractal properties.

[1]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[2]  Jan Beran,et al.  Statistics for long-memory processes , 1994 .

[3]  Walter Willinger,et al.  Long-range dependence in variable-bit-rate video traffic , 1995, IEEE Trans. Commun..

[4]  Oliver Rose,et al.  Statistical properties of MPEG video traffic and their impact on traffic modeling in ATM systems , 1995, Proceedings of 20th Conference on Local Computer Networks.

[5]  Marwan Krunz,et al.  Statistical characteristics and multiplexing of MPEG streams , 1995, Proceedings of INFOCOM'95.

[6]  Wu-Chi Feng Buffering Techniques for Delivery of Compressed Video in Video-on-Demand Systems , 1997 .

[7]  Patrice Abry,et al.  Long‐range Dependence: Revisiting Aggregation with Wavelets , 1998 .

[8]  Gary J. Sullivan,et al.  Rate-distortion optimization for video compression , 1998, IEEE Signal Process. Mag..

[9]  Patrice Abry,et al.  Wavelet Analysis of Long-Range-Dependent Traffic , 1998, IEEE Trans. Inf. Theory.

[10]  Anja Feldmann,et al.  The changing nature of network traffic: scaling phenomena , 1998, CCRV.

[11]  Antonio Ortega,et al.  Rate-distortion methods for image and video compression , 1998, IEEE Signal Process. Mag..

[12]  Anja Feldmann,et al.  Scaling Analysis of Conservative Cascades, with Applications to Network Traffic , 1999, IEEE Trans. Inf. Theory.

[13]  Patrice Abry,et al.  A Wavelet-Based Joint Estimator of the Parameters of Long-Range Dependence , 1999, IEEE Trans. Inf. Theory.

[14]  Richard G. Baraniuk,et al.  A Multifractal Wavelet Model with Application to Network Traffic , 1999, IEEE Trans. Inf. Theory.

[15]  Matthew Roughan,et al.  Real-time estimation of the parameters of long-range dependence , 2000, TNET.

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

[17]  Qian Zhang,et al.  Resource allocation for multimedia streaming over the Internet , 2001, IEEE Trans. Multim..

[18]  Izhak Rubin,et al.  Multiplicative multifractal modelling of long-range-dependent network traffic , 2001, Int. J. Commun. Syst..

[19]  Patrice Abry,et al.  Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data , 2002 .