Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition)

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ISBN 10: 1852333812 / ISBN 13: 9781852333812

Editore: -, 2001

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Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition) This book is in very good condition and will be shipped within 24 hours of ordering. The cover may have some limited signs of wear but the pages are clean, intact and the spine remains undamaged. This book has clearly been well maintained and looked after thus far. Money back guarantee if you are not satisfied. See all our books here, order more than 1 book and get discounted shipping.

Codice articolo 7719-9781852333812

Dati bibliografici

• Titolo: Principles of Visual Information Retrieval (Advances in Computer Vision and Pattern Recognition)
• Editore: -
• Data di pubblicazione: 2001
• Lingua: Inglese
• ISBN 10: 1852333812
• ISBN 13: 9781852333812
• Rilegatura: Hardcover
• Condizione: Very Good

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.