Non Linear Traffic Modeling of VBR MPEG2 Video Sources

Doulamis, A; Doulamis, N; Kollias, S

dc.contributor.author	Doulamis, A	en
dc.contributor.author	Doulamis, N	en
dc.contributor.author	Kollias, S	en
dc.date.accessioned	2014-03-01T02:41:39Z
dc.date.available	2014-03-01T02:41:39Z
dc.date.issued	2000	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/30578
dc.subject	Autoregressive Model	en
dc.subject	Computer Simulation	en
dc.subject	Experimental Study	en
dc.subject	General Regression Neural Network	en
dc.subject	Mean Square Error	en
dc.subject	Traffic Model	en
dc.subject	Feedforward Neural Network	en
dc.subject	Neural Network	en
dc.subject	Tapped Delay Line	en
dc.title	Non Linear Traffic Modeling of VBR MPEG2 Video Sources	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1109/ICME.2000.871009	en
heal.identifier.secondary	http://dx.doi.org/10.1109/ICME.2000.871009	en
heal.publicationDate	2000	en
heal.abstract	A neural network scheme is presented for modeling VBR MPEG-2 video sources. In particular, three nonlinear autoregressive models (NAR) are proposed to model the aggregate MPEG-2 video sequence, each of which corresponds to one of the three types of frames (I, P and B frames). Then, the optimal mean-squared error predictor of the NAR model is implemented using a feedforward	en
heal.journalName	International Conference on Multimedia Computing and Systems/International Conference on Multimedia and Expo	en
dc.identifier.doi	10.1109/ICME.2000.871009	en