Modeling and adaptive prediction of VBR MPEG video sources

Author

Doulamis, N.D. ; Doulamis, A.D. ; Kollias, S.D.

Author_Institution

Dept. of Electr. Eng., Nat. Tech. Univ. of Athens, Greece

fYear

1999

fDate

1999

Firstpage

27

Lastpage

32

Abstract

In this paper, efficient modeling of variable bit-rate (VBR) MPEG-coded video sources is proposed by appropriately combining properties of frame and GOP (group of pictures) layer signals. In particular, a Markov chain is presented for modeling the video activity and the states of which correspond to correlated autoregressive (AR) models that are responsible for generating the I (intra-frame), P (predictive) and B (bidirectionally predictive) frames. Furthermore, an adaptive implementation of the AR coefficients is accomplished in cases where we are interested in video traffic prediction

Keywords

Markov processes; autoregressive processes; code standards; multimedia communication; prediction theory; telecommunication traffic; variable rate codes; visual communication; B-frame; GOP-layer signals; I-frame; Markov chain; P-frame; adaptive prediction; autoregression (AR); correlated autoregressive models; frame-layer signals; variable bit-rate MPEG-coded video sources; video activity modelling; video traffic prediction; Bit rate; Layout; Predictive models; Quality of service; Streaming media; Telecommunication traffic; Traffic control; Transform coding; Video compression; Video sequences;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia Signal Processing, 1999 IEEE 3rd Workshop on

Conference_Location

Copenhagen

Print_ISBN

0-7803-5610-1

Type

conf

DOI

10.1109/MMSP.1999.793793

Filename

793793