Modeling and adaptive prediction of VBR MPEG video sources

Doulamis, N; Doulamis, A; Kollias, S

dc.contributor.author	Doulamis, N	en
dc.contributor.author	Doulamis, A	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:48:43Z
dc.date.available	2014-03-01T02:48:43Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/34050
dc.subject	Ar Model	en
dc.subject	Mpeg Video	en
dc.subject	Traffic Prediction	en
dc.subject	Group of Picture	en
dc.subject	Markov Chain	en
dc.subject	Variable Bit Rate	en
dc.title	Modeling and adaptive prediction of VBR MPEG video sources	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/MMSP.1999.793793	en
heal.identifier.secondary	http://dx.doi.org/10.1109/MMSP.1999.793793	en
heal.publicationDate	1999	en
heal.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)	en
heal.journalName	Multimedia Signal Processing	en
dc.identifier.doi	10.1109/MMSP.1999.793793	en