基于内容的视频分析与检索方法研究

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1、西北工业大学硕士学位论文基于内容的视频分析与检索方法研究姓名：张文哲申请学位级别：硕士专业：计算机应用技术指导教师：任金昌20040301ABSTRACTWiththerapiddevelopmentofmultimediaandnetworktechniques，efficientandeffectiveimageandvideoretrievalbecomesmoreandmoreimportantduetoteemingofvastimageandvideomediainmanycodingformats．Hence，itcomesforthanewre

2、searchfieldintheinformationtechnology,i．e．Content．BasedlqdeoAnalysisandRetrieval(CBVAR)．CB、，A．Rmeansvideore州evalfromenormousvideodatabasethroughmatehingofpatternsderivedfromvideoanalysisandfeatureextractiontorepresenti括content．Inavideo．thecontentsincludeitsstructure．10W-leVelvisuala

3、ndauralfeatBl'es，andhigh-levelsemanticinforillation，whichformthebaseforflirterretrievalandvisualproduction．ItiSstilIagreatchallengetointegratea11theinformationabovetoestablishageneralmodelforcontent．basedvideoarialysisandretrieval．BasedonMPEG一7．wehavedevelopedsuchakindofmodelinproto

4、type．ThemainWOrkandCOntentsinthisthesisinclude：1)Basedonanalysisofthecharacteristicsanddifficultiesofvideoandvideomanagement，ageneralvideodatamodel，compatiblewithMPEG一7standard，isestablished．Inourmodel，videosarcrepresentedinahierarchicalstructurewithfourlayersfromframe，shot，scenetos

5、toryunit，andkeyframes，etc．areintroducedtodescribethefeaturesandcontentsoflayerThewholestructuremodelmakesupaframeforfurtherprocessing；2)Principlesandmethodsofseveraltypicalshotchangesareintroduced，anddifferentshotdetectionalgorithmsareanalyzedandevaluated．Animprovedself-adaptiveshot

6、detectionalgorithmisthenproposed，whichcanidentifybothsaltationandgradualshotchanges．Furthermore．asimpleandeffectivemethodforkey-frameextract／onfromvideoshotisgiven．Finally,shotdetectionfromcompressedvideo，basedonDCimageandmOtionparameters，iSanalyzedindetail；3)Aspatio-temporalshotsim

7、ilarityruleisproposedtoclustervideoshotsintovideoscenes，andfuzzy-clusteringmethodforkeyframeextractionfromvideoscenesisalsogiven．Inaddition，theconceptofsceoecentdodisintroducedtorepresentvideoscenebyaveragingofallkeyframesinsideagroupofshotsinthegivenvideoscene，whichmakesanaudacious

8、attemptforhigh·leve