Non Linear Traffic Modeling of VBR MPEG2 Video Sources

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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

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