The GBAR source model for VBR videoconferences

Author

Heyman, Daniel P.

Author_Institution

AT&T Bell Labs., Holmdel, NJ, USA

Volume

5

Issue

4

fYear

1997

fDate

8/1/1997 12:00:00 AM

Firstpage

554

Lastpage

560

Abstract

Heyman (1992) examined three sequences giving the number of cells per frame of a VBR encoding of videoconferences (talking heads); these sequences were produced by hardware encoders using different coding algorithms. Each sequence had a gamma marginal distribution, and the autocorrelation function was geometric up to lags of at least 3 s, which includes all autocorrelation values larger than 0.1. We present an easy to simulate autoregressive process that has these properties. The model is tested by comparing the cell-loss rate produced when the data trace was used as the sole source in a simulation of an ATM switch to the cell-loss rates produced when traces generated by the model were used as the source

Keywords

asynchronous transfer mode; autoregressive processes; correlation methods; gamma distribution; image sequences; source coding; teleconferencing; variable rate codes; video coding; ATM switch; GBAR source model; VBR encoding; VBR videoconferences; autocorrelation function; autocorrelation values; autoregressive process; cell-loss rate; coding algorithm; data trace; gamma marginal distribution; sequences; talking heads; Asynchronous transfer mode; Autocorrelation; Hardware; Predictive models; Quality of service; Switches; Teleconferencing; Testing; Traffic control; Videoconference;

fLanguage

English

Journal_Title

Networking, IEEE/ACM Transactions on

Publisher

ieee

ISSN

1063-6692

Type

jour

DOI

10.1109/90.649513

Filename

649513