Image Databases: Search and Retrieval of Digital Imagery / Edition 1

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Overview

This book brings together acknowledged experts and researchers to discuss all aspects of image databases and the search engines used to retrieve image data from them. This comprehensive volume covers architecture, indexing, retrieval, transmission, display, and user interface issues.
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Product Details

  • ISBN-13: 9780471321163
  • Publisher: Wiley
  • Publication date: 12/24/2001
  • Edition number: 1
  • Pages: 608
  • Product dimensions: 6.36 (w) x 9.39 (h) x 1.26 (d)

Meet 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.
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Table of Contents

Contributors
Preface
1 Digital Imagery: Fundamentals 1
2 Visible Image Retrieval 11
3 Satellite Imagery in Earth Science Applications 35
4 Medical Imagery 83
5 Images in the Exploration for Oil and Gas 107
6 Storage Architectures for Digital Imagery 139
7 Database Support for Multimedia Applications 161
8 Image Compression - A Review 211
9 Transmission of Digital Imagery 241
10 Introduction to Content-Based Image Retrieval - Overview of Key Techniques 261
11 Color for Image Retrieval 285
12 Texture Features for Image Retrieval 313
13 Shape Representation for Image Retrieval 345
14 Multidimensional Indexing Structures for Content-Based Retrieval 373
15 Multimedia Indexing 435
16 Compressed or Progressive Image Search 465
17 Concepts and Techniques for Indexing Visual Semantics 497
Index 567
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