The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Analysis and Modeling of H.264 Unconstrained VBR Video Traffic
Abstract
In future communication networks, video is expected to represent a large portion of the total traffic, given that especially variable bit rate (VBR) coded video streams, are becoming increasingly popular. Consequently, traffic modeling and characterization of such video services is essential for the efficient traffic control and resource management. Besides, providing an insight of video coding mechanisms, traffic models can be used as a tool for the allocation of network resources, the design of efficient networks for streaming services and the reassurance of specific QoS characteristics to the end users. The new H.264/AVC standard, proposed by the ITU-T Video Coding Expert Group (VCEG) and ISO/IEC Moving Pictures Expert Group (MPEG), is expected to dominate in upcoming multimedia services, due to the fact that it outperforms in many fields the previous encoded standards. This article presents both a frame and a layer (i.e. I, P and B frames) level analysis of H.264 encoded sources. Analysis of the data suggests that the video traffic can be considered as a stationary stochastic process with an autocorrelation function of exponentially fast decay and a marginal frame size distribution of approximately Gamma form. Finally, based on the statistical analysis, an efficient model of H.264 video traffic is proposed.
Related Content
|
Nithin Kalorth, Vidya Deshpande.
© 2024.
7 pages.
|
|
Nitesh Behare, Vinayak Chandrakant Shitole, Shubhada Nitesh Behare, Shrikant Ganpatrao Waghulkar, Tabrej Mulla, Suraj Ashok Sonawane.
© 2024.
24 pages.
|
|
T.S. Sujith.
© 2024.
13 pages.
|
|
C. Suganya, M. Vijayakumar.
© 2024.
11 pages.
|
|
B. Harry, Vijayakumar Muthusamy.
© 2024.
19 pages.
|
|
Munise Hayrun Sağlam, Ibrahim Kirçova.
© 2024.
19 pages.
|
|
Elif Karakoç Keskin.
© 2024.
19 pages.
|
|
|