Image Databases

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.

Contributors.

Preface.

Introduction.

Digital Imagery: Fundamentals (V. Castelli & L. Bergman).

SELECTED APPLICATION.

Visible Image Retrieval (C. Colombo & A. Del Bimbo).

Satellite Imagery in Earth Science Applications (H. Ramapriyan).

Medical Imagery (S. Wong & K. Hoo).

Images in the Exploration for Oil and Gas (P. Tilke).

STORAGE AND SYSTEM ARCHITECTURE.

Storage Architectures for Digital Imagery (H. Vin).

Database Support for Multimedia Applications (M. Ortega-Binderberger and K. Chakrabarti).

Image Compression--A Review (S. Hemami).

Transmission of Digital Imagery (J. Percival).

INDEXING AND RETRIEVAL.

Introduction to Content-Based Image Retrieval-Overview of Key Techniques (Y. Li and C. Kuo).

Color for Image Retrieval (J. Smith).

Texture Features for Image Retreival (B. Manjunath & W. Ma).

Shape Representation for Image Retrieval (B. Kimia).

Multidimensional Indexing Structures for Content-Based Retrieval (V. Castelli).

Multimedia Indexing (C. Faloutsos).

Compressed or Progressive Image Search (S. Panchanathan).

Concepts and Techniques for Indexing Visual Semantics (A. Jaimes & S. Chang).

Index.