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1、1ModelingVideoTracinTheWaveletDomainShengMaandChuanyiJiDepartmentofElectrical,Computer,andSystemsEngineeringRensselaerPolytechnicInstitute,Troy,NY12180e-mail:shengm@ecse.rpi.edu,chuanyi@ecse.rpi.eduTel:(518)276-8424,(518)276-6534Abstract
2、Asigni cantdiscoveryfromthisworkisthatdesign.
3、Theexistingmodelswhichhavebeendevel-althoughvideotrachascomplicatedshort-andlong-opedtomodelboththelong-rangeandtheshort-rangerangedependenceinthetimedomain,thecorrespondingdependenceincludeFARIMAmodels[10][11],Transform-waveletcoecientsarenolongerlong-rangedependentinExpand-Sample
4、(TES)modeling[18],scene-basedmod-thewaveletdomain.Therefore,ashort-range"dependentprocesscanbeusedtomodelvideotracinthewaveletels[12]andtheMarkovModulatedProcesses[1].Acom-domain.Inthiswork,wedevelopsuchwaveletmodelsformonfeatureofallthesemethodsisthattheymodelbothVBRvideotrac.LRD
5、andSRDinthetimedomain.Amongthesemethods,Thestrengthofthedevelopedwaveletmodelsincludes(1)itprovidesauni edapproachtomodelbothlong-rangethescene-basedmodeling[12]andtheMarkovModulatedandshort-rangedependenceinvideotracsimultaneously,models[1]provideaphysicallyinterpretablemodeltoin-(
6、2)ithastheabilitytoreducethetemporaldependencesocludeboththelong-rangeandtheshort-rangedependence.signi cantlythatthewaveletcoecientscanbemodeledbyHowever,duetothedynamicandstochasticnatureoftheeitherindependentorMarkovmodels,and(3)themodelresultsinacomputationallyecientmethodongen
7、eratingvideotrac,itisdiculttoaccuratelyde neandsegmenthighqualityvideotrac.videotracintodi erentstatesofaMarkovmodel.TESKeywords:wavelet,long-rangedependence,short-rangemodelisfastbuttoocomplicatedtobeusedforanalysis.dependence,tracmodeling,VBRvideotrac.Therestofthemethodsallsu
8、 erthecomputationalcom-Topics:videonetworking,B-ISDNandATM,admissioncontrol.plexitytoohightobeusedforgeneratingalargevolumeofsynthesizedvideotrac[10].AmorecomputationallyecientmethodbasedonFastFourierTransformhasbeenI.Introductionproposed[20]tomodelEthernettracintheFrequencySinceV
9、BRcompressed
