Multimedia content and the semantic Web多媒体内容与语义网络-方法、标准与工具 snb txt 网盘 pdf kindle 2025 lit 下载

The 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: de*ions are inherently subjective and usage is often confined to the specific application domain for which the de*ions 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 concise volume the findings of leading researchers from around the globe。The focus，in particular，is on the MPEG-7 and MPEG-21 standards that seek to consolidate and render effective the infrastructure for the delivery and management of multimedia content。Provides thorough coverage of all relevant topics，including structure identification in audiovisual documents，object-based video indexing，multimedia indexing and retrieval using natural language，speech and image processing methods Contains detailed advice on ontology representation and querying for realizing semantics-driven applications Includes cutting-edge information on multimedia content de*ion in MPEG-7 and MPEG-21 Illustrates all theory with real-world case studies gleaned from state-of-the-art worldwide research。The contributors are pioneers in the fields of multimedia analysis and knowledge technologies This unified，comprehensive up-to-date resource will appeal to integrators，systems suppliers，managers and consultants in the area of knowledge management and information retrieval； particularly those concerned with the automation of the semantic web。The detailed，theory-based practical advice is also essential reading for postgraduates and researchers in these fields。

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

　　Fernando Pereira alldRik Van de Walie

　　1.1 Mulfimedia Content Description

　　1.2 MPEG-7：Multimedia Content Description Interface

　　1.3 MPEG-2 l：Multimedia Framework

　　1.4 Final Remarks

　 Acknowledgments

　 References

　2 Ontology Representation and Querying for Realizing

　 Semantics-Driven Applications

　 Boris Motik,Alexander Maedche and Raphael Volz

　　2.1 IntrOductiOn

　　2.2 Requirements

　　2.3 Ontology Representation

　　2.4 Ontology Querying

　　2.5 Implementation

　　2.6 Related Work

　　2.7 Conclusion

References

　3 Adding Multimedia to the Semantic Web：Building and Applying an

　 MPEG-7 Ontology

　 JaneHuner

　　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

Refefences

Appendix A

Appendix B MPEG-7 Description of a Fuel Cell

Appendix C 0ME Description of Fuel Cell Image

Appendix D FUSION Description of a Fuel Cell Image

Appendix E XML Schema for FUSl0N

　4 A Fuzzy Knowledge-Based System for Multimedia Applications

Vassilis Tzouvaras，Giorgos S~mou and Stefanos Kollias

　　4.1 Introduction

　　4.2 Knowledge Base Formalization

　　4.3 Fuzzy Propositional Rules Inference Engine

　　4.4 Demonstration

　　4.5 ConcJusion and Future W10rk

References

Part TwO：Multimedia Content Analysis

　5 Structure Identification in an Audiovisual Document

Philippejoty

　　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

　　Jenny Benois-Pineau

　　6.1 IntrOductiOn

　　6.2 MPEG-7 as a Normalized Framework for Object-Based Indexing of Video Content

　　6.3 Spatio-Temporal Segmentation of Video for Object Extraction

　　6.4 Rough Indexing Paradigm for Object-Based Indexing of Compassed Content

　　……

7 Automatic extraction and analysis of visual objects information

8 Mining the semantics of visual concepts and context

9 Machine learning in multimedia

Pt. 3 Multimedia content management systems and the semantic Web

10 Semantic Web applications

11 Multimedia indexing and retrieval using natural language, speech and image processing methods

12 Knowledge-based multimedia content indexing and retrieval

13 Multimedia content indexing and retrieval using an object ontology

14　Context-Based Video Retrieval for Life-Log Applications

Index

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书籍介绍

The 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 concise volume the findings of leading researchers from around the globe. The focus, in particular, is on the MPEG-7 and MPEG-21 standards that seek to consolidate and render effective the infrastructure for the delivery and management of multimedia content. 

Provides thorough coverage of all relevant topics, including structure identification in audiovisual documents, object-based video indexing, multimedia indexing and retrieval using natural language, speech and image processing methods

Contains detailed advice on ontology representation and querying for realizing semantics-driven applications

Includes cutting-edge information on multimedia content description in MPEG-7 and MPEG-21

Illustrates all theory with real-world case studies gleaned from state-of-the-art worldwide research. The contributors are pioneers in the fields of multimedia analysis and knowledge technologies

This unified, comprehensive up-to-date resource will appeal to integrators, systems suppliers, managers and consultants in the area of knowledge management and information retrieval; particularly those concerned with the automation of the semantic web. The detailed, theory-based practical advice is also essential reading for postgraduates and researchers in these fields.