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.
Image Databases: Search and Retrieval of Digital Imagery
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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.
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.
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.
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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Inside This Book
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First Sentence:
Digital images have a predominant position among multimedia data types. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Machine Intell, Pattern Anal, Pattern Recog, Image Process, Very Large Data Bases, San Jose, Computer Society Press, Santa Barbara, Data Eng, San Diego, San Francisco, Prentice Hall, University of California, World Wide Web, Earth Science Enterprise, Image Extender, Los Angeles, Academic Press, Computer Society Conference, Del Bimbo, Electronic Imaging, Seoul Meeting, Goddard Space Flight Center, Watson Research Center New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Digital images have a predominant position among multimedia data types. Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Machine Intell, Pattern Anal, Pattern Recog, Image Process, Very Large Data Bases, San Jose, Computer Society Press, Santa Barbara, Data Eng, San Diego, San Francisco, Prentice Hall, University of California, World Wide Web, Earth Science Enterprise, Image Extender, Los Angeles, Academic Press, Computer Society Conference, Del Bimbo, Electronic Imaging, Seoul Meeting, Goddard Space Flight Center, Watson Research Center New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 16
books:
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3
books
cite this book:
- Seventh International Conference on Computer Vision: Two Volume Set by IEEE on page 361, and page 362
- Discrete Cosine Transform: Algorithms, Advantages, Applications by K. Ramamohan Rao on page 238, and page 493
- Elements of Information Theory by Thomas M. Cover on page 137
- Mathematical Methods in Biomedical Image Analysis (Mmbia 2001): 2001 IEEE Workshop by Workshop on Mathematical Methods in Biomedical Image Analysis on page 365
- Handbook of Pattern Recognition and Computer Vision by C. H. Chen on page 340
See all 16 books this book cites
- Image and Video Retrieval: 4th International Conference, CIVR 2005, Singapore, July 20-22, 2005, Proceedings (Lecture Notes in Computer Science / ... Applications, incl. Internet/Web, and HCI) by Wee-Kheng Leow on page 163, page 173, and page 434
- Multimedia Signals and Systems (The Springer International Series in Engineering and Computer Science) by Mrinal Kr. Mandal on page 9, and page 330
- Image Analysis and Recognition by Aurélio Campilho on page 802
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