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一种基于视频特征的智能电视广告监播系统设计方案.docx

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一种基于视频特征的智能电视广告监播系统设计方案 Title:DesignofanIntelligentTVAdvertisementMonitoringSystemBasedonVideoFeatures 1.Introduction Thetelevisionadvertisingindustryhasbeenundergoingasignificanttransformationinrecentyearsduetotheemergenceofdigitaltechnologies.TraditionalTVadmonitoringmethodsarenolongersufficienttokeepupwiththerapidlyevolvinglandscape.Inthispaper,weproposeadesignforanintelligentTVadvertisementmonitoringsystemthatutilizesvideofeaturestoprovideaccurateandreal-timemonitoringcapabilities. 2.SystemArchitecture Theproposedsystemconsistsofthreemaincomponents:datacollection,dataprocessing,andmonitoringinterface.Thedatacollectioncomponentretrievesvideocontentfromtelevisionchannels,whilethedataprocessingcomponentanalyzesthevideofeaturestodetectspecificadvertisements.Themonitoringinterfacepresentsthemonitoringresultstotheusers. 3.DataCollection Fordatacollection,thesystemneedsaccesstoliveTVchannelsaswellasrecordedcontent.ThisrequiresestablishingpartnershipswithTVbroadcastersorobtainingaccesstotheirAPIs.Thesystemcanretrievereal-timevideostreamsandstoretheminadatabaseforfurtherprocessing. 4.DataProcessing Thedataprocessingcomponentisresponsibleforextractingvideofeaturesandanalyzingthemtodeterminethepresenceofadvertisements.Thereareseveralkeystepsinvolvedinthisprocess: 4.1VideoSegmentation:Thesystemshouldsegmentthevideocontentintoindividualshotsorscenestofacilitatefurtheranalysis.Thiscanbedoneusingtechniquessuchasshotboundarydetectionorscenechangedetection. 4.2ObjectDetection:Thesystemshoulddetectandrecognizeobjectsrelevanttoadvertisements,suchaslogosorproductplacements.Thiscanbeachievedusingcomputervisionalgorithmslikeobjectrecognitionandtracking. 4.3AudioAnalysis:Audiofeatures,suchasbackgroundmusicorvoiceovers,canprovidevaluableinformationforidentifyingadvertisements.Audioanalysistechniques,suchasspeechrecognitionoraudiofingerprinting,canbeutilizedtoextractrelevantinformation. 4.4DataFusion:Theextractedvideofeaturesandaudioanalysisresultsneedtobecombinedtomakeaccuratepredictio