Verfügbarkeit: Multimedia mining

Multimedia mining: a highway to intelligent multimedia documents

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Bibliographische Detailangaben
Format:	Buch
Sprache:	English
Veröffentlicht:	Boston [u.a.] Kluwer Academic Publishers 2003
Schriftenreihe:	Multimedia systems and applications series 22
Schlagworte:	Bases de données - Gestion Data mining Exploration de données (Informatique) Multimedia Multimédia Database management Multimedia systems Datenbank Data Mining
Online-Zugang:	Inhaltsverzeichnis
Beschreibung:	Includes bibliographical references and index
Beschreibung:	XIV, 231 S. Ill., graph. Darst.
ISBN:	1402072473

Internformat

MARC


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adam_text	MULTIMEDIA MINING A HIGHWAY TO INTELLIGENT MULTIMEDIA DOCUMENTS EDITED BY CHABANE DJERABA POLYTECHNIC SCHOOL OF NANTES UNIVERSITY, FRANCE KLUWER ACADEMIC PUBLISHERS BOSTON / DORDRECHT / LONDON CONTENTS PREFACE XIII FEATURED CHAPTERS 1 CHABANE DJERABA 1. MET: IMAGE MINING FOR TYPHOON ANALYSIS 7 ASANOBU KITAMOTO 1.1. INTRODUCTION 7 1.2. TYPHOON FROM AN INFORMATICS PERSPECTIVE 8 1.2.1. METEOROLOGICAL BACKGROUND 8 1.2.2. CHALLENGES TO INFORMATICS 8 1.2.3. TYPHOON IMAGE COLLECTION 10 1.2.4. TYPHOON IMAGES FROM A CBIR PERSPECTIVE 11 1.2.4.1. SCIENTIFIC APPLICATION AND NARROW DOMAIN 11 1.2.4.2. TIME-SERIES DATA IN SEQUENCES 11 1.2.4.3. VARIABILITY OF CLOUD PATTERNS 11 1.2.4.4. CHARACTERISTIC SCALE 12 1.2.4.5. INVARIANCE 12 1.2.4.6. MULTI-SPECTRAL IMAGES 12 1.2.4.7. METADATA AND ANNOTATION 13 1.3. REPRESENTATION OF THE TYPHOON 13 1.3.1. COMPONENT-BASED REPRESENTATION 13 1.3.2. MULTI-SCALE REPRESENTATION 15 1.3.3. SHAPE-BASED REPRESENTATION 15 1.4. IMAGE MINING 15 1.4.1. FINDING TYPICAL PATTERNS 15 1.4.2. IMAGE MINING AND CBIR 17 1.5. IMAGE MINING ENVIRONMENT FOR TYPHOON ANALYSIS AND PREDICTION 18 1.5.1. SYSTEM ARCHITECTURE 18 1.5.2. QUERY LANGUAGE 19 1.5.-3. EXPLORATION WITH IMET 21 1.5.3.1. SEARCH BY METADATA 21 1.5.3.2. SPATIAL DATA MINING 21 1.5.3.3. COMPARISON OF MULTIPLE TYPHOON SEQUENCES 22 1.5.3.4. TEMPORAL DATA MINING 22 1.6. CONCLUSION 23 1.7. ACKNOWLEDGMENT 24 1.8. REFERENCES 24 2. DISCOVERING PATTERNS WITH AND WITHIN IMAGES 27 OSMAR R. ZAIANE 2.1. INTRODUCTION 27 2.1.1. WHAT IS IMAGE MINING? 27 2.1.2. IMAGE MINING VERSUS CONTENT-BASED IMAGE RETRIEVAL 28 2.1.3. ISSUES AND CHALLENGES 30 2.2. IMAGE MINING TECHNIQUES 32 2.2.1. CONTENT-BASED AND NON-CONTENT-BASED IMAGE MINING 32 2.2.2. IMAGE MINING TECHNIQUES 33 2.2.2.1. CLASSIFICATION OF IMAGES AND/OR IMAGE CONTENT 33 2.2.2.2. IMAGE CLUSTERING 34 2.2.2.3. ASSOCIATION RULE MINING WITHIN IMAGES 35 2.2.3. PRE-PROCESSING IMAGES PRESENTS A CHALLENGE 37 2.3. CONCLUSION 39 2.4. REFERENCES 40 3. A SYSTEM SUPPORTING SEMANTICS RETRIEVAL 43 YUQING SONG AND AIDONG ZHANG 3.1. INTRODUCTION 43 3.2. SCENERY ANALYZER: SYSTEM FRAMEWORK 45 3.3. A HIERARCHICAL REPRESENTATION FOR LOW-LEVEL FEATURES 47 3.4. EXTRACTING SEMANTIC FEATURES 50 3.4.1. CLASSIFYING TEXTONS 51 3.4.2. CLUSTERING TEXTONS 53 3.4.3. RENDERING SEMANTIC REGIONS 53 3.5. CASE STUDY OF SEMANTIC FEATURES 54 3.5.1. BACKGROUND AND SKY 54 3.5.2. GROUND 54 3.5.3. WAVE 55 3.5.4. GREEN TREE 55 3.5.5. BUILDING 55 3.6. CONCLUSION 57 3.7. REFERENCES 58 4. TECHNIQUES FOR COLOR-BASED IMAGE RETRIEVAL 61 RENATO O. STEALING, MARIO A. NASCIMENTO, ALEXANDRE X. FALCDO 4.1. INTRODUCTION 61 4.2. COLOR-SPACES 63 4.3. COLOR-BASED IMAGE DESCRIPTION 64 4.3.1. STATIC REDUCTION METHODS 65 4.3.2. DYNAMIC REDUCTION METHODS 65 4.4. VISUAL FEATURES EXTRACTION AND REPRESENTATION 67 4.4.1. GLOBAL REPRESENTATIONS 67 4.4.2. PARTITION-BASED REPRESENTATIONS 68 4.4.3. REGIONAL REPRESENTATIONS 68 4.5. DISTANCE FUNCTION 69 4.6. SIMILARITY SEARCH 70 4.6.1. FILTERING 71 4.6.2. SPATIAL ACCESS METHODS - SAMS 72 4.6.3. METRIC ACCESS METHODS - MAMS 72 4.6.4. APPROXIMATE AND NON-METRIC METHODS 72 4.7. EXISTING CBIR APPROACHES 73 4.7.1. GLOBAL APPROACHES 73 4.7.2. PARTITION-BASED APPROACHES 75 4.7.3. REGIONAL APPROACHES 76 4.8. OPEN PROBLEMS 78 4.9. SUMMARY 79 4.10. ACKNOWLEDGMENT 79 4.11. REFERENCES 80 5. RECOVERING IN VIDEO DOCUMENTS 83 GEORGES QUENOT, PHILIPPE MULHEM, DAMIEN PAULIN, DINESH KUMAR, RAGHAV BHASKAR AND ARVIND BHUSNURMATH 5.1. INTRODUCTION 83 5.2. TEMPORAL VIDEO SEGMENTATION 85 5.3. COMPUTATION OF OPTICAL FLOW 86 5.3.1. ORTHOGONAL DYNAMIC PROGRAMMING 87 5.4. BUILDING AND SELECTION OF TRAJECTORIES 88 5.4.1. TURNING SEQUENCES OF VECTOR FIELDS INTO SETS OF TRAJECTORIES 90 5.4.1.1. BUILDING TRAJECTORIES FOR A REFERENCE FRAME 90 5.4.1.2. BUILDING TRAJECTORIES USING SEVERAL REFERENCE FRAMES 91 5.4.2. SELECTING RELIABLE AND OPTIMALLY SPREAD TRAJECTORIES 92 5.4.2.1. USE OF THE GRADIENT OF THE IMAGE INTENSITY 92 5.4.2.2. MODULE OF THE GRADIENT OF VECTOR FIELD 93 5.4.2.3. SHI-TOMASI-KANADE EIGENVALUES 93 5.4.2.4. CONSERVATION OF A TRANSPORTED WINDOW 94 5.4.2.5. SELECTION OF TRAJECTORIES -95 5.5. CAMERA MODEL 95 5.5.1. PINHOLE CAMERA MODEL 95 5.5.2. INTRINSIC PARAMETERS 96 5.5.3. EXTRINSIC PARAMETERS 96 5.5.4. VIDEO SEQUENCE CAMERA PARAMETERS 97 5.6. RECOVERY OF CAMERA MOTION WITHOUT PARALLAX 99 5.6.1. SEARCH FOR HOMOGRAPHIES AND BACKGROUND REGIONS 99 5.6.2. SEARCH FOR CAMERA PARAMETERS 102 5.6.2.1. SEARCH FOR LOCAL PARAMETERS 103 5.6.2.2. SEARCH FOR GLOBAL PARAMETERS 104 5.6.2.3. SEARCH FOR ALL PARAMETERS 105 5.6.2.4. SAMPLE RESULTS 105 5.7. RECOVERY OF CAMERA MOTION WITH PARALLAX 107 5.8. INTEGRATION 109 5.9. CONCLUSION 110 5.10. ACKNOWLEDGMENTS 110 5.11. REFERENCES 110 6. MINING OF VIDEO DATABASE 113 JIANPING FAN, XINGQUAN ZHU, XIAODONG LIN 6.1. INTRODUCTION 113 6.2. SEMANTICS-SENSITIVE VIDEO DATABASE MODEL 115 6.3. VIDEO ANALYSIS AND FEATURE EXTRACTION 119 6.4. SEMANTICS-SENSITIVE VIDEO CLASSIFICATION 121 6.5. HIERARCHICAL DATABASE INDEXING AND ACCESS 129 6.6. CONCLUSIONS 135 6.7. ACKNOWLEDGEMENT 136 6.8. REFERENCES 136 7. MEDICAL MULTIMEDIA DATABASES 139 PETER L. STANCHEV, FARSHAD FOTOUHI, MOHAMMAD-REZA SIADAT, HAMID SOLTANIAN-ZADEH 7.1. INTRODUCTION * 139 7.2. REVIEW OF MEDICAL MULTIMODALITY AND MULTIMEDIA SYSTEMS 140 7.2.1. CONTENT-BASED MEDICAL IMAGE RETRIEVAL TECHNIQUES 141 7.2.2. BRAIN IMAGE SEGMENTATION TECHNIQUES 142 7.2.2.1. INTENSITY-BASED SEGMENTATION METHODS 142 7.2.2.2. TEXTURE-BASED SEGMENTATION METHODS 143 7.2.2.3. MODEL-BASED SEGMENTATION METHODS 144 7.2.2.4. SEGMENTATION AND MEASUREMENTS IN MR IMAGES 144 7.2.3. MULTIMEDIA AND MULTIMODALITY BASED MEDICAL SYSTEMS 146 7.3. THE MEDIMAGE SYSTEM 147 7.3.1. THE MEDIMAGE SYSTEM DATABASES 148 7.3.2. THE MEDIMAGE MR IMAGE PROCESSING TOOLS 149 7.3.3. THE MEDIMAGE DATABASE MANAGEMENT TOOLS 149 7.3.4. RESULTS OBTAINED WITH THE MEDIMAGE SYSTEM 150 7.3.5. THE MEDIMAGE SYSTEM SUMMARY 153 7.4. THE EPILEPSY SYSTEM 153 7.4.1. THE EPILEPSY SYSTEM ARCHITECTURE 153 7.4.2. THE EPILEPSY SYSTEM METHODS 155 7.4.3. RESULTS OBTAINING WITH THE EPILEPSY SYSTEM 155 7.5. CONCLUSIONS 157 7.6. REFERENCES 158 8. AN OBJECT APPROACH FOR WEB PRESENTATIONS 161 JEROME GENSEL, PHILIPPE MULHEM, HERVE MARTIN 8.1. INTRODUCTION 161 8.2. THE V-STORM SYSTEM 162 8.3. THE AROM SYSTEM 164 8.4. COUPLING AROM AND V-STORM 165 8.4.1. AN AROM MODEL FOR MULTIMEDIA PRESENTATIONS 165 8.4.2. BUILDING A MULTIMEDIA PRESENTATION 168 8.4.3. BENEFITS OF THE AVS MODEL 169 8.5. THE TEMPLATE MODEL 170 8.5.1. TEMPLATE DEFINITION 170 8.5.2. SPATIAL DESCRIPTION 171 8.5.3. TEMPORAL DESCRIPTION 172 8.5.4. TRANSLATION INTO AROM 173 8.5.5. FROM TEMPLATES TO SMIL PRESENTATIONS 173 8.6. RELATED WORKS 175 8.7. CONCLUSION 176 8.8. REFERENCES 177 9. WEB MULTIFORM DATA STRUCTURING 179 J. DARMONT, O. BOUSSAID, F. BENTAYEB, S. RABASEDA, AND Y. ZELLOUF 9.1. INTRODUCTION 179 9.2. RELATED WORK 181 9.2.1. DATA INTEGRATION 181 9.2.2. XML MAPPING 182 9.2.3. XML QUERY LANGUAGES 182 9.3. UML CONCEPTUAL MODEL 183 9.4. XML LOGICAL MODEL 185 9.5. XML PHYSICAL MODEL 187 9.5.1. TRANSFORMATION ALGORITHM 187 9.5.2. IMPLEMENTATION 188 9.5.2.1. ARCHITECTURE 188 9.5.2.2. ATTRIBUTE EXTRACTION 189 9.5.2.3. XML DOCUMENT GENERATION 190 9.5.3. OUTPUT 190 9.5.4. MAPPING INTO A RELATIONAL DATABASE 193 9.6. CONCLUSION AND FUTURE ISSUES 193 9.7. REFERENCES 194 10. MEDIA ANNOTATION 197 CL. CHRISMENT, FL. SEDES 10.1. INTRODUCTION 197 10.2. GENERATION OF DESCRIBERS 197 10.2.1. SEGMENTATION AND TEXT ANNOTATION 197 10.2.2. IMAGES AND ANNOTATIONS 200 10.2.3. AUDIO SEGMENTATION AND ANNOTATION 201 10.2.4. SEGMENTATION AND ANNOTATION OF ANIMATED IMAGE 202 10.3. DIMENSIONS 204 10.4. QUERYING 205 10.5. CONCLUSION 208 10.6. REFERENCES 208 11. AUDIO CONTENT-BASED CLASSIFICATION 213 ABELHAKIM SAADANE 11.1. INTRODUCTION 213 11.2. FRAMEWORK OF SEMANTIC CLASSES 215 11.2.1. SILENCE DESCRIPTION 216 11.2.2. SPEECH DESCRIPTION 217 11.2.3. MUSIC DESCRIPTION 217 11.2.4. NOISE DESCRIPTION 218 11.3. CLASSIFICATION METHOD 218 11.4. RETRIEVAL 221 11.5. EXPERIMENTATION 222 11.5.1. FORMAT OF SOUND DATA STORAGE 222 11.5.2. EVALUATION METHOD 222 11.5.3. DATA SETS 223 11.5.3.1. SAMPLE OF AN AUDIO MATERIAL 223 11.5.4. RESULTS AND ANALYSIS 224 11.6. COMPARISON WITH RELATED WORKS 225 11.7. CONCLUSION 226 11.8. ACKNOWLEDGMENT 227 11.9. REFERENCES 227 INDEX 229
adam_txt	MULTIMEDIA MINING A HIGHWAY TO INTELLIGENT MULTIMEDIA DOCUMENTS EDITED BY CHABANE DJERABA POLYTECHNIC SCHOOL OF NANTES UNIVERSITY, FRANCE KLUWER ACADEMIC PUBLISHERS BOSTON / DORDRECHT / LONDON CONTENTS PREFACE XIII FEATURED CHAPTERS 1 CHABANE DJERABA 1. MET: IMAGE MINING FOR TYPHOON ANALYSIS 7 ASANOBU KITAMOTO 1.1. INTRODUCTION 7 1.2. TYPHOON FROM AN INFORMATICS PERSPECTIVE 8 1.2.1. METEOROLOGICAL BACKGROUND 8 1.2.2. CHALLENGES TO INFORMATICS 8 1.2.3. TYPHOON IMAGE COLLECTION 10 1.2.4. TYPHOON IMAGES FROM A CBIR PERSPECTIVE 11 1.2.4.1. SCIENTIFIC APPLICATION AND NARROW DOMAIN 11 1.2.4.2. TIME-SERIES DATA IN SEQUENCES 11 1.2.4.3. VARIABILITY OF CLOUD PATTERNS 11 1.2.4.4. CHARACTERISTIC SCALE 12 1.2.4.5. INVARIANCE 12 1.2.4.6. MULTI-SPECTRAL IMAGES 12 1.2.4.7. METADATA AND ANNOTATION 13 1.3. REPRESENTATION OF THE TYPHOON 13 1.3.1. COMPONENT-BASED REPRESENTATION 13 1.3.2. MULTI-SCALE REPRESENTATION 15 1.3.3. SHAPE-BASED REPRESENTATION 15 1.4. IMAGE MINING 15 1.4.1. FINDING TYPICAL PATTERNS 15 1.4.2. IMAGE MINING AND CBIR 17 1.5. IMAGE MINING ENVIRONMENT FOR TYPHOON ANALYSIS AND PREDICTION 18 1.5.1. SYSTEM ARCHITECTURE 18 1.5.2. QUERY LANGUAGE 19 1.5.-3. EXPLORATION WITH IMET 21 1.5.3.1. SEARCH BY METADATA 21 1.5.3.2. SPATIAL DATA MINING 21 1.5.3.3. COMPARISON OF MULTIPLE TYPHOON SEQUENCES 22 1.5.3.4. TEMPORAL DATA MINING 22 1.6. CONCLUSION 23 1.7. ACKNOWLEDGMENT 24 1.8. REFERENCES 24 2. DISCOVERING PATTERNS WITH AND WITHIN IMAGES 27 OSMAR R. ZAIANE 2.1. INTRODUCTION 27 2.1.1. WHAT IS IMAGE MINING? 27 2.1.2. IMAGE MINING VERSUS CONTENT-BASED IMAGE RETRIEVAL 28 2.1.3. ISSUES AND CHALLENGES 30 2.2. IMAGE MINING TECHNIQUES 32 2.2.1. CONTENT-BASED AND NON-CONTENT-BASED IMAGE MINING 32 2.2.2. IMAGE MINING TECHNIQUES 33 2.2.2.1. CLASSIFICATION OF IMAGES AND/OR IMAGE CONTENT 33 2.2.2.2. IMAGE CLUSTERING 34 2.2.2.3. ASSOCIATION RULE MINING WITHIN IMAGES 35 2.2.3. PRE-PROCESSING IMAGES PRESENTS A CHALLENGE 37 2.3. CONCLUSION 39 2.4. REFERENCES 40 3. A SYSTEM SUPPORTING SEMANTICS RETRIEVAL 43 YUQING SONG AND AIDONG ZHANG 3.1. INTRODUCTION 43 3.2. SCENERY ANALYZER: SYSTEM FRAMEWORK 45 3.3. A HIERARCHICAL REPRESENTATION FOR LOW-LEVEL FEATURES 47 3.4. EXTRACTING SEMANTIC FEATURES 50 3.4.1. CLASSIFYING TEXTONS 51 3.4.2. CLUSTERING TEXTONS 53 3.4.3. RENDERING SEMANTIC REGIONS 53 3.5. CASE STUDY OF SEMANTIC FEATURES 54 3.5.1. BACKGROUND AND SKY 54 3.5.2. GROUND 54 3.5.3. WAVE 55 3.5.4. GREEN TREE 55 3.5.5. BUILDING 55 3.6. CONCLUSION 57 3.7. REFERENCES 58 4. TECHNIQUES FOR COLOR-BASED IMAGE RETRIEVAL 61 RENATO O. STEALING, MARIO A. NASCIMENTO, ALEXANDRE X. FALCDO 4.1. INTRODUCTION 61 4.2. COLOR-SPACES 63 4.3. COLOR-BASED IMAGE DESCRIPTION 64 4.3.1. STATIC REDUCTION METHODS 65 4.3.2. DYNAMIC REDUCTION METHODS 65 4.4. VISUAL FEATURES EXTRACTION AND REPRESENTATION 67 4.4.1. GLOBAL REPRESENTATIONS 67 4.4.2. PARTITION-BASED REPRESENTATIONS 68 4.4.3. REGIONAL REPRESENTATIONS 68 4.5. DISTANCE FUNCTION 69 4.6. SIMILARITY SEARCH 70 4.6.1. FILTERING 71 4.6.2. SPATIAL ACCESS METHODS - SAMS 72 4.6.3. METRIC ACCESS METHODS - MAMS 72 4.6.4. APPROXIMATE AND NON-METRIC METHODS 72 4.7. EXISTING CBIR APPROACHES 73 4.7.1. GLOBAL APPROACHES 73 4.7.2. PARTITION-BASED APPROACHES 75 4.7.3. REGIONAL APPROACHES 76 4.8. OPEN PROBLEMS 78 4.9. SUMMARY 79 4.10. ACKNOWLEDGMENT 79 4.11. REFERENCES 80 5. RECOVERING IN VIDEO DOCUMENTS 83 GEORGES QUENOT, PHILIPPE MULHEM, DAMIEN PAULIN, DINESH KUMAR, RAGHAV BHASKAR AND ARVIND BHUSNURMATH 5.1. INTRODUCTION 83 5.2. TEMPORAL VIDEO SEGMENTATION 85 5.3. COMPUTATION OF OPTICAL FLOW 86 5.3.1. ORTHOGONAL DYNAMIC PROGRAMMING 87 5.4. BUILDING AND SELECTION OF TRAJECTORIES 88 5.4.1. TURNING SEQUENCES OF VECTOR FIELDS INTO SETS OF TRAJECTORIES 90 5.4.1.1. BUILDING TRAJECTORIES FOR A REFERENCE FRAME 90 5.4.1.2. BUILDING TRAJECTORIES USING SEVERAL REFERENCE FRAMES 91 5.4.2. SELECTING RELIABLE AND OPTIMALLY SPREAD TRAJECTORIES 92 5.4.2.1. USE OF THE GRADIENT OF THE IMAGE INTENSITY 92 5.4.2.2. MODULE OF THE GRADIENT OF VECTOR FIELD 93 5.4.2.3. SHI-TOMASI-KANADE EIGENVALUES 93 5.4.2.4. CONSERVATION OF A TRANSPORTED WINDOW 94 5.4.2.5. SELECTION OF TRAJECTORIES -95 5.5. CAMERA MODEL 95 5.5.1. PINHOLE CAMERA MODEL 95 5.5.2. INTRINSIC PARAMETERS 96 5.5.3. EXTRINSIC PARAMETERS 96 5.5.4. VIDEO SEQUENCE CAMERA PARAMETERS 97 5.6. RECOVERY OF CAMERA MOTION WITHOUT PARALLAX 99 5.6.1. SEARCH FOR HOMOGRAPHIES AND BACKGROUND REGIONS 99 5.6.2. SEARCH FOR CAMERA PARAMETERS 102 5.6.2.1. SEARCH FOR LOCAL PARAMETERS 103 5.6.2.2. SEARCH FOR GLOBAL PARAMETERS 104 5.6.2.3. SEARCH FOR ALL PARAMETERS 105 5.6.2.4. SAMPLE RESULTS 105 5.7. RECOVERY OF CAMERA MOTION WITH PARALLAX 107 5.8. INTEGRATION 109 5.9. CONCLUSION 110 5.10. ACKNOWLEDGMENTS 110 5.11. REFERENCES 110 6. MINING OF VIDEO DATABASE 113 JIANPING FAN, XINGQUAN ZHU, XIAODONG LIN 6.1. INTRODUCTION 113 6.2. SEMANTICS-SENSITIVE VIDEO DATABASE MODEL 115 6.3. VIDEO ANALYSIS AND FEATURE EXTRACTION 119 6.4. SEMANTICS-SENSITIVE VIDEO CLASSIFICATION 121 6.5. HIERARCHICAL DATABASE INDEXING AND ACCESS 129 6.6. CONCLUSIONS 135 6.7. ACKNOWLEDGEMENT 136 6.8. REFERENCES 136 7. MEDICAL MULTIMEDIA DATABASES 139 PETER L. STANCHEV, FARSHAD FOTOUHI, MOHAMMAD-REZA SIADAT, HAMID SOLTANIAN-ZADEH 7.1. INTRODUCTION * 139 7.2. REVIEW OF MEDICAL MULTIMODALITY AND MULTIMEDIA SYSTEMS 140 7.2.1. CONTENT-BASED MEDICAL IMAGE RETRIEVAL TECHNIQUES 141 7.2.2. BRAIN IMAGE SEGMENTATION TECHNIQUES 142 7.2.2.1. INTENSITY-BASED SEGMENTATION METHODS 142 7.2.2.2. TEXTURE-BASED SEGMENTATION METHODS 143 7.2.2.3. MODEL-BASED SEGMENTATION METHODS 144 7.2.2.4. SEGMENTATION AND MEASUREMENTS IN MR IMAGES 144 7.2.3. MULTIMEDIA AND MULTIMODALITY BASED MEDICAL SYSTEMS 146 7.3. THE MEDIMAGE SYSTEM 147 7.3.1. THE MEDIMAGE SYSTEM DATABASES 148 7.3.2. THE MEDIMAGE MR IMAGE PROCESSING TOOLS 149 7.3.3. THE MEDIMAGE DATABASE MANAGEMENT TOOLS 149 7.3.4. RESULTS OBTAINED WITH THE MEDIMAGE SYSTEM 150 7.3.5. THE MEDIMAGE SYSTEM SUMMARY 153 7.4. THE EPILEPSY SYSTEM 153 7.4.1. THE EPILEPSY SYSTEM ARCHITECTURE 153 7.4.2. THE EPILEPSY SYSTEM METHODS 155 7.4.3. RESULTS OBTAINING WITH THE EPILEPSY SYSTEM 155 7.5. CONCLUSIONS 157 7.6. REFERENCES 158 8. AN OBJECT APPROACH FOR WEB PRESENTATIONS 161 JEROME GENSEL, PHILIPPE MULHEM, HERVE MARTIN 8.1. INTRODUCTION 161 8.2. THE V-STORM SYSTEM 162 8.3. THE AROM SYSTEM 164 8.4. COUPLING AROM AND V-STORM 165 8.4.1. AN AROM MODEL FOR MULTIMEDIA PRESENTATIONS 165 8.4.2. BUILDING A MULTIMEDIA PRESENTATION 168 8.4.3. BENEFITS OF THE AVS MODEL 169 8.5. THE TEMPLATE MODEL 170 8.5.1. TEMPLATE DEFINITION 170 8.5.2. SPATIAL DESCRIPTION 171 8.5.3. TEMPORAL DESCRIPTION 172 8.5.4. TRANSLATION INTO AROM 173 8.5.5. FROM TEMPLATES TO SMIL PRESENTATIONS 173 8.6. RELATED WORKS 175 8.7. CONCLUSION 176 8.8. REFERENCES 177 9. WEB MULTIFORM DATA STRUCTURING 179 J. DARMONT, O. BOUSSAID, F. BENTAYEB, S. RABASEDA, AND Y. ZELLOUF 9.1. INTRODUCTION 179 9.2. RELATED WORK 181 9.2.1. DATA INTEGRATION 181 9.2.2. XML MAPPING 182 9.2.3. XML QUERY LANGUAGES 182 9.3. UML CONCEPTUAL MODEL 183 9.4. XML LOGICAL MODEL 185 9.5. XML PHYSICAL MODEL 187 9.5.1. TRANSFORMATION ALGORITHM 187 9.5.2. IMPLEMENTATION 188 9.5.2.1. ARCHITECTURE 188 9.5.2.2. ATTRIBUTE EXTRACTION 189 9.5.2.3. XML DOCUMENT GENERATION 190 9.5.3. OUTPUT 190 9.5.4. MAPPING INTO A RELATIONAL DATABASE 193 9.6. CONCLUSION AND FUTURE ISSUES 193 9.7. REFERENCES 194 10. MEDIA ANNOTATION 197 CL. CHRISMENT, FL. SEDES 10.1. INTRODUCTION 197 10.2. GENERATION OF DESCRIBERS 197 10.2.1. SEGMENTATION AND TEXT ANNOTATION 197 10.2.2. IMAGES AND ANNOTATIONS 200 10.2.3. AUDIO SEGMENTATION AND ANNOTATION 201 10.2.4. SEGMENTATION AND ANNOTATION OF ANIMATED IMAGE 202 10.3. DIMENSIONS 204 10.4. QUERYING 205 10.5. CONCLUSION 208 10.6. REFERENCES 208 11. AUDIO CONTENT-BASED CLASSIFICATION 213 ABELHAKIM SAADANE 11.1. INTRODUCTION 213 11.2. FRAMEWORK OF SEMANTIC CLASSES 215 11.2.1. SILENCE DESCRIPTION 216 11.2.2. SPEECH DESCRIPTION 217 11.2.3. MUSIC DESCRIPTION 217 11.2.4. NOISE DESCRIPTION 218 11.3. CLASSIFICATION METHOD 218 11.4. RETRIEVAL 221 11.5. EXPERIMENTATION 222 11.5.1. FORMAT OF SOUND DATA STORAGE 222 11.5.2. EVALUATION METHOD 222 11.5.3. DATA SETS 223 11.5.3.1. SAMPLE OF AN AUDIO MATERIAL 223 11.5.4. RESULTS AND ANALYSIS 224 11.6. COMPARISON WITH RELATED WORKS 225 11.7. CONCLUSION 226 11.8. ACKNOWLEDGMENT 227 11.9. REFERENCES 227 INDEX 229
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dewey-sort	16.7
dewey-tens	000 - Computer science, information, general works
discipline	Informatik
discipline_str_mv	Informatik
format	Book
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id	DE-604.BV022474769
illustrated	Illustrated
index_date	2024-07-02T17:46:00Z
indexdate	2024-07-09T20:58:23Z
institution	BVB
isbn	1402072473
language	English
lccn	2002028398
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-015682197
oclc_num	50410395
open_access_boolean
owner	DE-29T DE-11
owner_facet	DE-29T DE-11
physical	XIV, 231 S. Ill., graph. Darst.
publishDate	2003
publishDateSearch	2003
publishDateSort	2003
publisher	Kluwer Academic Publishers
record_format	marc
series	Multimedia systems and applications series
series2	Multimedia systems and applications series
spelling	Multimedia mining a highway to intelligent multimedia documents ed. by Chabane Djeraba Boston [u.a.] Kluwer Academic Publishers 2003 XIV, 231 S. Ill., graph. Darst. txt rdacontent n rdamedia nc rdacarrier Multimedia systems and applications series 22 Includes bibliographical references and index Bases de données - Gestion Data mining gtt Exploration de données (Informatique) Multimedia gtt Multimédia Data mining Database management Multimedia systems Multimedia (DE-588)4192358-3 gnd rswk-swf Datenbank (DE-588)4011119-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Multimedia (DE-588)4192358-3 s Datenbank (DE-588)4011119-2 s Data Mining (DE-588)4428654-5 s DE-604 Djeraba, Chabane Sonstige oth Multimedia systems and applications series 22 (DE-604)BV016433615 22 GBV Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015682197&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Multimedia mining a highway to intelligent multimedia documents Multimedia systems and applications series Bases de données - Gestion Data mining gtt Exploration de données (Informatique) Multimedia gtt Multimédia Data mining Database management Multimedia systems Multimedia (DE-588)4192358-3 gnd Datenbank (DE-588)4011119-2 gnd Data Mining (DE-588)4428654-5 gnd
subject_GND	(DE-588)4192358-3 (DE-588)4011119-2 (DE-588)4428654-5
title	Multimedia mining a highway to intelligent multimedia documents
title_auth	Multimedia mining a highway to intelligent multimedia documents
title_exact_search	Multimedia mining a highway to intelligent multimedia documents
title_exact_search_txtP	Multimedia mining a highway to intelligent multimedia documents
title_full	Multimedia mining a highway to intelligent multimedia documents ed. by Chabane Djeraba
title_fullStr	Multimedia mining a highway to intelligent multimedia documents ed. by Chabane Djeraba
title_full_unstemmed	Multimedia mining a highway to intelligent multimedia documents ed. by Chabane Djeraba
title_short	Multimedia mining
title_sort	multimedia mining a highway to intelligent multimedia documents
title_sub	a highway to intelligent multimedia documents
topic	Bases de données - Gestion Data mining gtt Exploration de données (Informatique) Multimedia gtt Multimédia Data mining Database management Multimedia systems Multimedia (DE-588)4192358-3 gnd Datenbank (DE-588)4011119-2 gnd Data Mining (DE-588)4428654-5 gnd
topic_facet	Bases de données - Gestion Data mining Exploration de données (Informatique) Multimedia Multimédia Database management Multimedia systems Datenbank Data Mining
url	http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=015682197&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
volume_link	(DE-604)BV016433615
work_keys_str_mv	AT djerabachabane multimediaminingahighwaytointelligentmultimediadocuments

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