Principles of Visual Information Retrieval

Michael S. Lew

ISBN 10: 1852333812 / ISBN 13: 9781852333812

Editore: Springer London, Springer London, 2001

Riguardo questo articolo

Druck auf Anfrage Neuware - Printed after ordering - Principles of Visual Information Retrieval introduces the basic concepts and techniques in VIR and develops a foundation that can be used for further research and study.Divided into 2 parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate context into the search process.The second part looks at advanced topics such as multimedia query, specification, visual learning and semantics, and offers state-of-the-art coverage that is not available in any other book on the market.This book will be essential reading for researchers in VIR, and for final year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, Computer Vision and Pattern Recognition.

Codice articolo 9781852333812

Dati bibliografici

• Titolo: Principles of Visual Information Retrieval
• Editore: Springer London, Springer London
• Data di pubblicazione: 2001
• Lingua: Inglese
• ISBN 10: 1852333812
• ISBN 13: 9781852333812
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 26 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 26 millimetri di profondità
• Peso: 735 grammi

Descrizione articolo

Riassunto

This text introduces the basic concepts and techniques in VIR. In doing so, it develops a foundation for further research and study. Divided into two parts, the first part describes the fundamental principles. A chapter is devoted to each of the main features of VIR, such as colour, texture and shape-based search. There is coverage of search techniques for time-based image sequences or videos, and an overview of how to combine all the basic features described and integrate them into the search process. The second part looks at advanced topics such as multimedia query. This book is essential reading for researchers in VIR, and final-year undergraduate and postgraduate students on courses such as Multimedia Information Retrieval, Multimedia Databases, and others.

Contenuti

I: Fundamental Principles.- 1. Visual Information Retrieval: Paradigms, Applications, and Research Issues.- 2. Color-Based Retrieval.- 3. Texture Features for Content-Based Retrieval.- 4. State of the Art in Shape Matching.- 5. Feature Similarity.- 6. Feature Selection and Visual Learning.- 7. Video Indexing and Understanding.- II: Advanced Topics.- 8. Query Languages for Multimedia Search.- 9. Relevance Feedback Techniques in Image Retrieval.- 10. Mix and Match Features in the ImageRover Search Engine.- 11. Integrating Analysis of Context and Image Content.- 12. Semantic-Based Retrieval of Visual Data.- 13. Trademark Image Retrieval.- Author Index.