Statistical multiplexing and quality of service control of VBR MPEG video sources

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dc.contributor.author Doulamis Anastasios, D en
dc.contributor.author Doulamis Nikolaos, D en
dc.contributor.author Kollias Stefanos, D en
dc.date.accessioned 2014-03-01T02:41:38Z
dc.date.available 2014-03-01T02:41:38Z
dc.date.issued 1999 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/30568
dc.subject Ar Model en
dc.subject Mpeg Video en
dc.subject Quality of Service en
dc.subject Statistical Multiplexing en
dc.subject Traffic Prediction en
dc.subject Markov Chain en
dc.subject.other Markov processes en
dc.subject.other Mathematical models en
dc.subject.other Multiplexing en
dc.subject.other Standards en
dc.subject.other Telecommunication services en
dc.subject.other Motion Picture Experts Group (MPEG) standards en
dc.subject.other Image coding en
dc.title Statistical multiplexing and quality of service control of VBR MPEG video sources en
heal.type conferenceItem en
heal.identifier.primary 10.1109/ICIP.1999.821612 en
heal.identifier.secondary http://dx.doi.org/10.1109/ICIP.1999.821612 en
heal.publicationDate 1999 en
heal.abstract In this paper efficient modeling of VBR MPEG coded video sources is proposed by appropriately combining properties of frame and GOP layer signals. In particular, a Markov chain is presented for modeling the video activity, the states of which correspond to correlated AR models responsible for generating the I, P and B frames. Furthermore, an adaptive implementation of the AR coefficients is accomplished in cases that we are interested in video traffic prediction. Experimental results using long duration sequences are provided to indicate the good performance of the proposed modeling scheme. en
heal.publisher IEEE, Los Alamitos, CA, United States en
heal.journalName IEEE International Conference on Image Processing en
dc.identifier.doi 10.1109/ICIP.1999.821612 en
dc.identifier.volume 1 en
dc.identifier.spage 271 en
dc.identifier.epage 275 en

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