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

Editat de Michael S. Lew
en Limba Engleză Hardback – 26 ian 2001
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.
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Specificații

ISBN-13: 9781852333812
ISBN-10: 1852333812
Pagini: 380
Ilustrații: XIX, 356 p.
Dimensiuni: 156 x 234 x 26 mm
Greutate: 0.71 kg
Ediția:2001
Editura: SPRINGER LONDON
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition

Locul publicării:London, United Kingdom

Public țintă

Research

Cuprins

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.

Caracteristici

The only available book to cover advanced topics such as relevance feedback, integration of multiple modalities, and learning visual features and semantics