Image Databases: Search and Retrieval of Digital Imagery - Hardcover

Hardcover

ISBN 10: 0471321168 ISBN 13: 9780471321163

Publisher: Wiley-Interscience, 2001

Synopsis

The explosive growth of multimedia data transmission has generated a critical need for efficient, high-capacity image databases, as well as powerful search engines to retrieve image data from them. This book brings together contributions by an international all-star team of innovators in the field who share their insights into all key aspects of image database and search engine construction. Readers get in-depth discussions of the entire range of crucial image database architecture, indexing and retrieval, transmission, display, and user interface issues. And, using examples from an array of disciplines, the authors present cutting-edge applications in medical imagery, multimedia communications, earth science, remote sensing, and other major application areas.

About this title

About the Author

VITTORIO CASTELLI received his MS in both statistics and electrical engineering and his PhD in electrical engineering from Stanford University. He currently works at the IBM Thomas J. Watson Research Center, where his main research interests include information theory, statistics, classification, and their applications to performance analysis and computer architecture.

LAWRENCE D. BERGMAN received his PhD in Computer Science from the University of North Carolina at Chapel Hill, and currently works at the IBM Thomas J. Watson Research Center. His research interests include user-interfaces and visualization tools for content-based retrieval, and application development environments for pervasive computing.

From the Back Cover

An up-to-date, expert guide to modern digital image databases

This volume presents the state of the art in digital image database design, with a concentration on storage and retrieval techniques, and includes a set of selected application case studies.

Chapters by experts from around the world explore a variety of techniques for accessing images based on color, texture, shape, and semantic descriptions. Underlying principles are stressed, including compression, indexing, storage organization, and transmission.

Image Databases also features detailed coverage of these important issues:
* Hierarchical storage management
* Database support
* Search at multiple abstraction levels
* Content extraction from compressed imagery
* Standards for representation and search

Case studies cover important application areas including:
* Photographic images
* Satellite imagery
* Images in the oil industry
* Medical imagery

A wide range of introductory material and an extensive bibliography makes Image Databases an excellent text for graduate-level students. It also serves as a valuable reference for developers and researchers in the field, and as a guide for helping IT professionals more fully understand the discipline.

Edition details

• Publisher: Wiley-Interscience
• Publication date: 2001
• Language: English
• ISBN 10: 0471321168
• ISBN 13: 9780471321163
• Binding: Hardcover
• Edition number: 1
• Number of pages: 608
• Editor: Castelli Vittorio, Bergman Lawrence D.