Performance models for multiplexed VBR MPEG video sources

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dc.contributor.author Doulamis Nikolaos, D en
dc.contributor.author Doulamis Anastasios, D en
dc.contributor.author Konstantoulakis George, E en
dc.contributor.author Stassinopoulos George, I en
dc.date.accessioned 2014-03-01T02:41:29Z
dc.date.available 2014-03-01T02:41:29Z
dc.date.issued 1997 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30489
dc.subject Data Analysis en
dc.subject Loss Probability en
dc.subject Mpeg Video en
dc.subject Performance Model en
dc.subject Probability Density Function en
dc.subject Statistical Multiplexing en
dc.subject Statistical Properties en
dc.subject Traffic Characterization en
dc.subject.other Algorithms en
dc.subject.other Approximation theory en
dc.subject.other Asynchronous transfer mode en
dc.subject.other Data reduction en
dc.subject.other Mathematical models en
dc.subject.other Probability density function en
dc.subject.other Standards en
dc.subject.other Statistical methods en
dc.subject.other Telecommunication traffic en
dc.subject.other Voice/data communication systems en
dc.subject.other Moving picture experts group (MPEG) en
dc.subject.other Variable bit rate (VBR) en
dc.subject.other Image coding en
dc.title Performance models for multiplexed VBR MPEG video sources en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICC.1997.610001 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICC.1997.610001 en
heal.publicationDate 1997 en
heal.abstract This paper performs issues relative to modeling of VBR MPEG coded video sources over ATM B-ISDN networks. Firstly, we analyze the statistical characteristics of the three types of frames, which the MPEG algorithm generates, and we study their autocovariance and probability density functions. Based on the data analysis, we propose two new source models which approximate both the statistical properties and the traffic characterization of MPEG sequences. The second source model (model B) has been introduced in order to reduce significantly the number of parameters which are necessary for our modeling. To verify the good fitness of the proposed new models, a statistical multiplexing configuration over ATM B-ISDN networks has been implemented and cell as well as frame loss probability have been estimated when the bit stream of video sources is generated by the real data and the two propose models. en
heal.publisher IEEE, Piscataway, NJ, United States en
heal.journalName IEEE International Conference on Communications en
dc.identifier.doi 10.1109/ICC.1997.610001 en
dc.identifier.volume 2 en
dc.identifier.spage 856 en
dc.identifier.epage 861 en

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