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Principles of Visual Information Retrieval. Softcover reprint of hardcover 1st ed. 2001
・ISBN 978-1-84996-868-3 paper EUR 99.99
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お気に入り
★★★
| 著者・編者 | Lew, Michael S. (ed.), |
|---|---|
| シリーズ | (Advances in Computer Vision and Pattern Recognition) |
| 出版社 | (Springer London Ltd, UK) |
| 出版年月 | 2010 |
| ページ数 | 356 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-44717＞ |
解説
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.
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.