The Real-Time Communication Project

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Compressed Video Modeling and Parsing

An important class of traffic for real-time communication is variable bit-rate (VBR) compressed video, particularly MPEG.  A statistical characterization of compressed video is useful for generating simulated traffic, estimating the required resources, traffic policing, etc.

It is also necessary to be able to parse video streams after they have been packetized for network transmission.


Software

Software Readme Version 1 Version 2
The MPEG-2 Transport Stream Browser tool, by Mike Izquierdo. It allows users to navigate an MPEG-2 Transport Stream and inspect transport packet headers, adaptation fields and program association tables. Other commands such as find pid, find video pes, and find audio pes are included as well.  For PCs running Windows 3.1 or later.

Readme
(text only)

tar file

binary executable (self unpacking)
Unix version of the MPEG-2 Transport Stream Browser tool. Readme
(text only)
tar file
 


Papers

Paper Abstract Version 1 Version 2
"A Survey of Statistical Source Models for Variable Bit-Rate Compressed Video", by Izquierdo and Reeves. Center for Advanced Computing and Communications Technical Report 97/10, June 1997.  To appear in Multimedia Systems Journal. abstract
(text only)
.pdf .ps
"MPEG VBR Slice Layer Modeling with Linear Predictive Coding and Generalized Periodic Markov Chains", by Izquierdo and Reeves. Proc. of 1997 IEEE Intl. Performance, Computing, and Communications Conference , March 1997. abstract
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.pdf .ps
"Issues Related to Slice-Based Modeling of MPEG VBR-Encoded Video", by Izquierdo and Reeves. Proc. of IEEE Southeastcon '95, March 1995, Raleigh NC. abstract
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.pdf .ps
"Statistical Characterization of MPEG VBR Video at the Slice Layer", by Izquierdo and Reeves. Proc. of the Conf. on Multimedia Computing and Networking, SPIE, Feb. 1995, San Jose CA. abstract
(text only)
.pdf .ps


Theses

Thesis Abstract Version 1 Version 2
"Modeling, Transmission, and Multiplexing of MPEG VBR Video Over Packet-Switched Networks", by M. Izquierdo. Ph.D. Thesis, Department of Electrical and Computer Engineering, N.C. State University, October 1998.

abstract
(text only)

.pdf .ps

 

Send comments / requests to reeves@eos.ncsu.edu, or visit my web page.
Last updated May 24, 1999.