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Modeling and adaptive prediction of VBR MPEG video sources

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3 Author(s)
Doulamis, N.D. ; Dept. of Electr. Eng., Nat. Tech. Univ. of Athens, Greece ; Doulamis, A.D. ; Kollias, S.D.

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

Published in:

Multimedia Signal Processing, 1999 IEEE 3rd Workshop on

Date of Conference:

1999