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1、IntegrationofGlobalandLocalInformationinVideosforKeyFrameExtraction1112DiantingLiu,Mei-LingShyu,ChaoChen,Shu-ChingChen1DepartmentofElectricalandComputerEngineeringUniversityofMiami,CoralGables,FL33124,USA2DistributedMultimediaInformationSystemsLaboratorySchoolofComputingandInforma
2、tionSciencesFloridaInternationalUniversity,Miami,FL33199,USAd.liu4@umiami.edu,shyu@miami.edu,c.chen15@umiami.edu,chens@cs.fiu.eduAbstractfastbutneglectsthevideocontent.Therefore,itmaymissrepresentativeframesandincluderedundantframes.ToKeyframeextractionmethodsaimtoobtainasetofaddr
3、essthisproblem,shot-basedkey-frameextractionframesthatcanefficientlyrepresentandsummarizevideoalgorithmshavebeenproposed[8],inwhichavideoiscontentsandbereusedinmanyvideoretrieval-relatedfirstsegmentedintoshotsandthenkeyframesareapplications.Aneffectivesetofkeyframes,viewedasaextra
4、ctedforeachshotindependently.Keyframehigh-qualitysummaryofthevideo,shouldincludetheextractiontechniquescanberoughlycategorizedintomajorobjectsandeventsofthevideo,andcontainlittlesequentialandcluster-basedmethods[9].Insequentialredundancyandoverlappedcontent.Inthispaper,anewmethods
5、,consecutiveframesarecomparedinasequentialkeyframeextractionmethodispresented,whichnotonlywayandkeyframesaredetecteddependingontheisbasedonthetraditionalideaofclusteringinthefeaturesimilaritywitheitherthepreviousframesortheextractionphasebutalsoeffectivelyreducesredundantpreviousl
6、ydetectedkeyframe.Althoughthesequentialframesusingtheintegrationoflocalandglobalmethodsconsiderthetemporalorderingamongframes,informationinvideos.ExperimentalresultsonthetheyonlycomputethesimilaritybetweenadjacentframesTRECVid2007testvideodatasethavedemonstratedtheandignoretheover
7、allchangetrendintheshotrange.Oneffectivenessofourproposedkeyframeextractionmethodtheotherhand,incluster-basedmethods,theframesareintermsofthecompressionrateandretrievalprecision.groupedintoafinitesetofclustersintheselectedfeaturespace[10],andthenthekeyframesetisobtainedbyKeywords:
8、Keyframeextraction,Clustering,Inf
