An introduction to videoconference video traffic

Domoxoudis, S; Kouremenos, S; Loumos, V; Drigas, A

dc.contributor.author	Domoxoudis, S	en
dc.contributor.author	Kouremenos, S	en
dc.contributor.author	Loumos, V	en
dc.contributor.author	Drigas, A	en
dc.date.accessioned	2014-03-01T02:52:34Z
dc.date.available	2014-03-01T02:52:34Z
dc.date.issued	2010	en
dc.identifier.issn	18650929	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35935
dc.subject	constrained	en
dc.subject	DAR	en
dc.subject	H.261	en
dc.subject	H.263	en
dc.subject	H.263+	en
dc.subject	H.264	en
dc.subject	network performance	en
dc.subject	unconstrained	en
dc.subject	VBR encoders	en
dc.subject	videoconference traffic	en
dc.subject.other	constrained	en
dc.subject.other	DAR	en
dc.subject.other	H.261	en
dc.subject.other	H.263	en
dc.subject.other	H.264	en
dc.subject.other	unconstrained	en
dc.subject.other	VBR encoders	en
dc.subject.other	videoconference traffic	en
dc.subject.other	Network performance	en
dc.title	An introduction to videoconference video traffic	en
heal.type	conferenceItem	en
heal.identifier.primary	10.1007/978-3-642-16324-1_59	en
heal.identifier.secondary	http://dx.doi.org/10.1007/978-3-642-16324-1_59	en
heal.publicationDate	2010	en
heal.abstract	This paper presents modeling results for H.26x video traffic generated by popular videoconference software applications. The analysis of videoconference data that were measured during realistic point-point videoconference sessions, led us to the general conclusion that the traffic can be distinguished into two categories: unconstrained and constrained. In the unconstrained traffic, there is a direct relation between the encoder and the form of the frequency histogram of the frame-size sequence. Moreover, for this type of traffic, strong correlations between successive video frames can be found. On the other hand, where bandwidth constraints are imposed during the encoding process, the generated traffic appears to exhibit similar characteristics for all the examined encoders with the very low autocorrelation values being the most notable one. © 2010 Springer-Verlag.	en
heal.journalName	Communications in Computer and Information Science	en
dc.identifier.doi	10.1007/978-3-642-16324-1_59	en
dc.identifier.volume	112 CCIS	en
dc.identifier.issue	PART 2	en
dc.identifier.spage	506	en
dc.identifier.epage	513	en