| Principles of Visual Information Retrieval 2001 Edition Contributor(s): Lew, Michael S. (Editor) |
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ISBN: 1852333812 ISBN-13: 9781852333812 Publisher: Springer OUR PRICE: $104.49 Product Type: Hardcover - Other Formats Published: January 2001 Annotation: 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. |
| Additional Information |
| BISAC Categories: - Computers | System Administration - Storage & Retrieval - Computers | Computer Graphics - Computers | Intelligence (ai) & Semantics |
| Dewey: 621.367 |
| LCCN: 00063529 |
| Series: Advances in Computer Vision and Pattern Recognition |
| Physical Information: 0.88" H x 6.14" W x 9.21" (1.56 lbs) 356 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |