Overview
- The only available book to cover advanced topics such as relevance feedback, integration of multiple modalities, and learning visual features and semantics
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Table of contents (13 chapters)
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Front Matter
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Fundamental Principles
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Front Matter
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Back Matter
Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Principles of Visual Information Retrieval
Editors: Michael S. Lew
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-3702-3
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London 2001
Hardcover ISBN: 978-1-85233-381-2Published: 26 January 2001
Softcover ISBN: 978-1-84996-868-3Published: 21 October 2010
eBook ISBN: 978-1-4471-3702-3Published: 14 March 2013
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XIX, 356
Topics: Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence, Information Storage and Retrieval, Multimedia Information Systems