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面向检索的MPEG运动对象提取.docx

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面向检索的MPEG运动对象提取 Title:ExtractingRelevancefromRetrieval-OrientedMPEGMotionObjects Abstract: Withtheexponentialgrowthofmultimediadata,theneedforefficientcontentretrievalandanalysistechniqueshasbecomeincreasinglyimportant.TheMPEGmotionobjectextractionisaprominentapproachthataimstoextractrelevantinformationfromvideosequences.Thispaperfocusesonexploringtheadvancementsandchallengesinextractingrelevancefromretrieval-orientedMPEGmotionobjects.Wediscusstheworkflowofmotionobjectextraction,thesignificanceofrelevanceextraction,andvarioustechniquesemployedinthisprocess.Additionally,weaddressthelimitationsandfuturedirectionsofretrieval-orientedMPEGmotionobjectextraction. 1.Introduction 1.1Background 1.2Objectives 1.3Organizationofthepaper 2.MPEGMotionObjectExtraction 2.1OverviewofMPEG 2.2Motion-CompensatedPrediction 2.3Object-BasedCoding 2.4WorkflowofMotionObjectExtraction 2.5ChallengesandLimitations 3.RelevanceExtractionfromMotionObjects 3.1ImportanceofRelevanceExtraction 3.2TechniquesforRelevanceExtraction 3.2.1Feature-basedRelevanceExtraction 3.2.2ContextualRelevanceExtraction 3.2.3MachineLearning-basedRelevanceExtraction 3.3EvaluationMetricsforRelevanceExtraction 4.ApplicationsofRetrieval-OrientedMPEGMotionObjectExtraction 4.1VideoRetrievalandSummarization 4.2SurveillanceandSecurityApplications 4.3VideoCompressionandCoding 4.4ObjectTrackingandRecognition 5.LimitationsandChallenges 5.1QualityofMotionObjects 5.2ScalabilityandEfficiency 5.3ComputationalComplexity 5.4SubjectivityinRelevanceExtraction 6.FutureDirectionsandResearchOpportunities 6.1HybridApproachesforRelevanceExtraction 6.2Real-TimeMotionObjectExtraction 6.3Cross-MediaRetrievalusingMotionObjects 6.4IntegrationwithDeepLearningTechniques 7.Conclusion 7.1Summaryofthepaper 7.2Finalremarks 7.3ImportanceandfutureprospectsofMPEGmotionobjectextraction 8.References Thispaperprovidesacomprehensiveexplorationofrelevanceextractionfromretrieval-orientedMPEGmotionobjects.ItbeginswithanoverviewofMPEGandtheworkflowofmotionobjectext