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Modeling full-length VBR video using Markov-renewal-modulated TES models

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dc.contributor.author Melamed, B en
dc.contributor.author Pendarakis, DE en
dc.date.accessioned 2014-03-01T01:47:24Z
dc.date.available 2014-03-01T01:47:24Z
dc.date.issued 1998 en
dc.identifier.issn 07338716 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/25201
dc.subject Coded video en
dc.subject Compressed video en
dc.subject Markov-renewal-modulated TES models en
dc.subject MRMT processes en
dc.subject Simulation modeling en
dc.subject TES processes en
dc.subject Variable bit rate video en
dc.subject.other Computer simulation en
dc.subject.other Image coding en
dc.subject.other Image compression en
dc.subject.other Markov processes en
dc.subject.other Mathematical models en
dc.subject.other Monte Carlo methods en
dc.subject.other Optical correlation en
dc.subject.other Standards en
dc.subject.other Telecommunication traffic en
dc.subject.other Joint Picture Experts Group (JPEG) standards en
dc.subject.other Markov renewal modulated transform expand sample process en
dc.subject.other Variable bit rate (VBR) video en
dc.subject.other Image communication systems en
dc.title Modeling full-length VBR video using Markov-renewal-modulated TES models en
heal.type journalArticle en
heal.identifier.primary 10.1109/49.700899 en
heal.identifier.secondary http://dx.doi.org/10.1109/49.700899 en
heal.publicationDate 1998 en
heal.abstract This paper describes a general methodology for constructing accurate source models of long sequences (full-length movies) of full-motion compressed VBR (variable bit rate) video, directly from empirical data sets of observed bit rate (frame size) records. The main idea is to first cluster scenes into classes and use TES (transform-expand-sample) processes to carefully model their duration and bit rate processes, and then modulate these scene class models by a Markov-renewal process that governs scene transitions. The resulting model is a Markov-renewal-modulated TES (MRMT) process. The fidelity criteria imposed are relatively stringent in that they call for the simultaneous capture of empirical histograms and autocorrelation functions, as well as the qualitative appearance of the empirical data, including burstiness. To illustrate the methodology, the paper provides a detailed description of the modeling procedure, using a JPEG-like coding trace of the ""Star Wars"" movie as a working example. The resulting MRMT model was validated by comparing its simulation-based statistics to their empirical counterparts, and by a performance study of the corresponding loss rates for various buffer sizes. The results support the efficacy of the modeling methodology and suggest that suites of realistic and compact source models can be developed for other types of movies under a variety of coding schemes. These may be used to drive realistic Monte Carlo simulations of broadband telecommunications networks. en
heal.journalName IEEE Journal on Selected Areas in Communications en
dc.identifier.doi 10.1109/49.700899 en
dc.identifier.volume 16 en
dc.identifier.issue 5 en
dc.identifier.spage 600 en
dc.identifier.epage 611 en


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