Holdings: Temporal Video Segmentation

Temporal Video Segmentation:

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Bibliographic Details
Main Author:	Petersohn, Christian (Author)
Format:	Thesis Book
Language:	English
Published:	Dresden Vogt 2010
Series:	Beiträge aus der Informationstechnik
Subjects:	Merkmalsextraktion Bewegungsanalyse > Technik Bildfolgenanalyse Bildsegmentierung Szenenanalyse Videoaufzeichnung Hochschulschrift
Online Access:	Inhaltstext Ausführliche Beschreibung Inhaltsverzeichnis
Physical Description:	XVIII, 272 S. Ill., graph. Darst.
ISBN:	9783938860397

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MARC


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adam_text	CONTENTS ABSTRACT XI DEUTSCHE ZUSAMMENFASSUNG XIII PREFACE XVII ACKNOWLEDGMENTS XIX 1 INTRODUCTION 1 1.1 GENERAL 1 1.2 AIMS 2 1.3 SIGNIFICANCE AND CONTRIBUTION 3 1.4 APPLICATION SCENARIOS 6 2 PATTERN RECOGNITION 7 2.1 DESIGN OF A PATTERN RECOGNITION SYSTEM 7 2.2 LEARNING CONCEPTS 8 2.3 FEATURES 9 2.4 CLASSIFICATION 9 2.4.1 BAYES CLASSIFICATION 9 2.4.2 SUPPORT VECTOR MACHINES 16 2.4.3 FEATURE CASCADE CLASSIFIER/DECISION TREES 23 2.4.4 MULTI-CLASS CLASSIFICATION 25 2.5 EVALUATION MEASURES 27 2.6 TRAINING AND TESTING STRATEGIES 30 2.6.1 OVERFITTING AND GENERALIZATION 30 2.6.2 CROSS-VALIDATION AND PARAMETER SELECTION 32 3 RELATED WORK 35 3.1 HIERARCHY OF TEMPORAL VIDEO SEGMENTS 35 3.2 SHOT BOUNDARY DETECTION 38 3.2.1 SHOT DEFINITION AND SHOT TRANSITION TYPES 38 3.2.2 METADATA-BASED SHOT BOUNDARY DETECTION APPROACH 39 BIBLIOGRAFISCHE INFORMATIONEN HTTP://D-NB.INFO/1006612491 DIGITALISIERT DURCH VIII CONTENTS 3.2.3 CONTENT-BASED SHOT BOUNDARY DETECTION APPROACHES 39 3.2.4 DRAWBACKS AND LIMITATIONS OF CURRENT APPROACHES 47 3.3 REPRESENTATIVE IMAGES AND SEGMENTS INSIDE OF SHOTS 51 3.3.1 VIDEO ABSTRACTION TYPES 51 3.3.2 STATIC STORYBOARDS 51 3.3.3 SEGMENTS INSIDE OF SHOTS 59 3.3.4 DRAWBACKS AND LIMITATIONS OF CURRENT APPROACHES 61 3.4 LOGICAL UNIT DETECTION 63 3.4.1 TERMS AND DEFINITIONS 63 3.4.2 EXISTING APPROACHES TO LOGICAL UNIT DETECTION 65 3.4.3 DRAWBACKS AND LIMITATIONS OF CURRENT APPROACHES 80 4 SHOT BOUNDARY DETECTION 81 4.1 OPTIMAL STATISTICAL SHOT BOUNDARY DETECTION 82 4.2 TRAINING AND TEST DATA, PERFORMANCE EVALUATION 85 4.3 OVERVIEW OF SHOT BOUNDARY DETECTION SYSTEM 89 4.4 HARD CUT DETECTION 92 4.4.1 MODEL OF A HARD CUT 92 4.4.2 FEATURES 93 4.4.3 ADAPTIVE THRESHOLD 97 4.4.4 FEATURE FUSION 100 4.4.5 FLASH DETECTOR, SHORT-TERM OUTLIER FRAMES 102 4.4.6 TRAINING AND EXPERIMENTAL RESULTS 105 4.5 FADE DETECTION 106 4.5.1 MODEL OF A FADE 106 4.5.2 FEATURES AND DETECTION 107 4.5.3 EXPERIMENTAL RESULTS 108 4.6 DISSOLVE DETECTION 110 4.6.1 MODEL OF A DISSOLVE 110 4.6.2 DETECTION OVERVIEW 112 4.6.3 CANDIDATE SELECTION 112 4.6.4 POSITION DETERMINATION 115 4.6.5 FEATURE EXTRACTION FOR CANDIDATE VERIFICATION 117 4.6.6 BAYES, SVM AND FEATURE CASCADE FOR CLASSIFICATION 125 4.6. CONTENTS IX 4.7.6 DETECTION OVERVIEW AND FEATURE FUSION 148 4.7.7 LIMITATION OF THE WIPE DETECTION APPROACH 149 4.7.8 EXPERIMENTAL RESULTS 149 4.8 FUSION OF SEGMENTATION RESULTS 151 4.9 EXPERIMENTAL RESULTS 151 4.9.1 TRANSITION TYPE SPECIFIC RESULTS 151 4.9.2 TRECVID PARTICIPATION 152 4.9.3 COMPARISON WITH TRECVID SHOT DETECTION APPROACHES . . . 155 4.9.4 ERROR ANALYSIS 157 4.10 SUMMARY AND CONCLUSION 160 5 SUB-SHOT DETECTION 163 5.1 MOTIVATION AND PROBLEM DEFINITION 163 5.2 ALGORITHMS FOR SUB-SHOT DETECTION 165 5.2.1 SIMPLE THRESHOLDING 166 5.2.2 CLUSTERING 167 5.2.3 MOTION ANALYSIS 172 5.3 EVALUATION AND TEST SET 176 5.4 TEST RESULTS 181 5.5 MISSED SHOT BOUNDARIES 185 5.6 SELECTION OF KEY-FRAMES, CLASSIFICATION 187 5.7 SUMMARY AND CONCLUSION 188 6 SCENE DETECTION 189 6.1 COMPOSITION OF SCENES, CHALLENGES IN DETECTION 190 6.1.1 SEMANTICS 190 6.1.2 FILM GRAMMAR IN THE COMPOSITION OF SCENES 190 6.1.3 DEFINITIONS AND GUIDELINES TO LIMIT SUBJECTIVITY 193 6.1.4 TRAINING AND TEST SET 196 6.2 SHOT SIMILARITY 197 6.2.1 CHOOSING KEY-FRAMES FOR SIMILARITY ANALYSIS 197 6.2.2 LOW-LEVEL FEATURES 199 6.3 GRADUAL SHOT TRANSITIONS AS FILM GRAMMAR CUES 204 6.3.1 GRADUAL SHOT TRANSITIONS IN THE DATA SET 204 6.3.2 USING GRADUAL TRANSITIONS TO SPLIT SCENES 206 6.3. X CONTENTS 6.6 SUMMARY AND CONCLUSION 231 7 SUMMARY, CONCLUSION, OUTLOOK 233 A HISTOGRAM COMPARISON 239 A.I STATE-OF-THE-ART 239 A.2 LOW-COMPLEXITY PROXIMITY-BASED HISTOGRAM DISSIMILARITY MEASURE . . 244 B EXAMPLE OF VISUAL TABLE-OF-CONTENTS 251 BIBLIOGRAPHY 255 NOTATION CONVENTIONS 267
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author	Petersohn, Christian
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discipline	Informatik Elektrotechnik / Elektronik / Nachrichtentechnik
format	Thesis Book
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spellingShingle	Petersohn, Christian Temporal Video Segmentation Merkmalsextraktion (DE-588)4314440-8 gnd Bewegungsanalyse Technik (DE-588)4302721-0 gnd Bildfolgenanalyse (DE-588)4401858-7 gnd Bildsegmentierung (DE-588)4145448-0 gnd Szenenanalyse (DE-588)4435333-9 gnd Videoaufzeichnung (DE-588)4188222-2 gnd
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title	Temporal Video Segmentation
title_auth	Temporal Video Segmentation
title_exact_search	Temporal Video Segmentation
title_full	Temporal Video Segmentation Christian Petersohn
title_fullStr	Temporal Video Segmentation Christian Petersohn
title_full_unstemmed	Temporal Video Segmentation Christian Petersohn
title_short	Temporal Video Segmentation
title_sort	temporal video segmentation
topic	Merkmalsextraktion (DE-588)4314440-8 gnd Bewegungsanalyse Technik (DE-588)4302721-0 gnd Bildfolgenanalyse (DE-588)4401858-7 gnd Bildsegmentierung (DE-588)4145448-0 gnd Szenenanalyse (DE-588)4435333-9 gnd Videoaufzeichnung (DE-588)4188222-2 gnd
topic_facet	Merkmalsextraktion Bewegungsanalyse Technik Bildfolgenanalyse Bildsegmentierung Szenenanalyse Videoaufzeichnung Hochschulschrift
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