05399nam 2200649Ia 450 991083116390332120230617002937.01-280-24183-797866102418350-470-33918-70-470-01261-70-470-85763-3(CKB)1000000000356083(EBL)241144(OCoLC)475955541(SSID)ssj0000206529(PQKBManifestationID)11166798(PQKBTitleCode)TC0000206529(PQKBWorkID)10214601(PQKB)10561931(MiAaPQ)EBC241144(EXLCZ)99100000000035608320040330d2005 uy 0engur|n|---|||||txtccrMultimedia content and the semantic Web[electronic resource] methods, standards and tools /edited by Giorgos Stamou and Stefanos KolliasChichester, England ;Hoboken, NJ Wileyc20051 online resource (416 p.)Description based upon print version of record.0-470-85753-6 Includes bibliographical references and index.Multimedia Content and the Semantic Web; Contents; List of Contributors; Foreword - Rudi Studer; Foreword - A. Murat Tekalp; Introduction; Part One: Knowledge and Multimedia; 1 Multimedia Content Description in MPEG-7 and MPEG-21; 1.1 Multimedia Content Description; 1.2 MPEG-7: Multimedia Content Description Interface; 1.3 MPEG-21: Multimedia Framework; 1.4 Final Remarks; Acknowledgments; References; 2 Ontology Representation and Querying for Realizing Semantics-Driven Applications; 2.1 Introduction; 2.2 Requirements; 2.3 Ontology Representation; 2.4 Ontology Querying; 2.5 Implementation2.6 Related Work2.7 Conclusion; References; 3 Adding Multimedia to the Semantic Web: Building and Applying an MPEG-7 Ontology; 3.1 Introduction; 3.2 Building an MPEG-7 Ontology; 3.3 Inferring Semantic Descriptions of Multimedia Content; 3.4 Semantic Querying and Presentation; 3.5 Conclusions; References; Appendix A; Appendix B MPEG-7 Description of a Fuel Cell; Appendix C OME Description of Fuel Cell Image; Appendix D FUSION Description of a Fuel Cell Image; Appendix E XML Schema for FUSION; 4 A Fuzzy Knowledge-Based System for Multimedia Applications; 4.1 Introduction4.2 Knowledge Base Formalization4.3 Fuzzy Propositional Rules Inference Engine; 4.4 Demonstration; 4.5 Conclusion and Future Work; References; Part Two: Multimedia Content Analysis; 5 Structure Identification in an Audiovisual Document; 5.1 Introduction; 5.2 Shot Segmentation; 5.3 Evaluation of Shot-Segmentation Algorithms; 5.4 Formal Description of the Video Editing Work; 5.5 Macrosegmentation; 5.6 Conclusion; 5.7 Acknowledgement; References; 6 Object-Based Video Indexing; 6.1 Introduction; 6.2 MPEG-7 as a Normalized Framework for Object-Based Indexing of Video Content6.3 Spatio-Temporal Segmentation of Video for Object Extraction6.4 Rough Indexing Paradigm for Object-Based Indexing of Compressed Content; 6.5 Conclusion; References; 7 Automatic Extraction and Analysis of Visual Objects Information; 7.1 Introduction; 7.2 Overview of the Proposed Model; 7.3 Region-Based Representation of Images: The Binary Partition Tree; 7.4 Perceptual Modelling of a Semantic Class; 7.5 Structural Modelling of a Semantic Class; 7.6 Conclusions; Acknowledgements; References; 8 Mining the Semantics of Visual Concepts and Context; 8.1 Introduction8.2 Modelling Concepts: Support Vector Machines for Multiject Models8.3 Modelling Context: A Graphical Multinet Model for Learning and Enforcing Context; 8.4 Experimental Set-up and Results; 8.5 Concluding Remarks; Acknowledgement; References; 9 Machine Learning in Multimedia; 9.1 Introduction; 9.2 Graphical Models and Multimedia Understanding; 9.3 Learning Classifiers with Labelled and Unlabelled Data; 9.4 Examples of Graphical Models for Multimedia Understanding and Computer Vision; 9.5 Conclusions; References; Part Three: Multimedia Content Management Systems and the Semantic Web10 Semantic Web ApplicationsThe emerging idea of the semantic web is based on the maximum automation of the complete knowledge lifecycle processes: knowledge representation, acquisition, adaptation, reasoning, sharing and use. Text-based based browsers involve a costly information-retrieval process: descriptions are inherently subjective and usage is often confined to the specific application domain for which the descriptions were created. Automatic extracted audiovisual features are, in general, more objective, domain-independent and can be native to the audiovisual content. This book seeks to draw together in one cMultimedia systemsSemantic WebInformation storage and retrieval systemsMultimedia systems.Semantic Web.Information storage and retrieval systems.006.7Stamou Giorgos1639004Kollias Stefanos1639005MiAaPQMiAaPQMiAaPQBOOK9910831163903321Multimedia content and the semantic Web3981724UNINA