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Table of contents (16 chapters)
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Front Matter
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Introduction
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Database Indexing Methods
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Front Matter
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Indexing Signals
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Front Matter
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Mathematical Toolbox
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Front Matter
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Keywords
About this book
The first half of Searching Multimedia Databases by Content reviews the most successful database access methods, in increasing complexity, reaching up to spatial access methods and text retrieval. In all cases, the emphasis is on practical approaches that have been incorporated in commercial systems, or that seem very promising.
The second half of the book uses the above access methods to achieve fast searching in a database of signals. A general methodology is presented, which suggests extracting a few good features from each multimedia object, thus mapping objects into points in a metric space. Finally, the book concludes by presenting some recent successful applications of the methodology on time series and color images.
Searching Multimedia Databases by Content is targeted towards researchers and developers of multimedia systems. The book can also serve as a textbook for a graduate course on multimedia searching, covering both access methods as well as the basics of signal processing.
Authors and Affiliations
Bibliographic Information
Book Title: Searching Multimedia Databases by Content
Authors: Christos Faloutsos
Series Title: Advances in Database Systems
DOI: https://doi.org/10.1007/978-1-4613-1445-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 1996
Hardcover ISBN: 978-0-7923-9777-9Published: 30 September 1996
Softcover ISBN: 978-1-4612-8629-5Published: 27 September 2011
eBook ISBN: 978-1-4613-1445-5Published: 06 December 2012
Series ISSN: 1386-2944
Edition Number: 1
Number of Pages: XII, 155
Topics: Multimedia Information Systems, Data Mining and Knowledge Discovery, Data Structures and Information Theory, Signal, Image and Speech Processing, Information Storage and Retrieval, Image Processing and Computer Vision