Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 397)
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Table of contents (8 chapters)
Keywords
About this book
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases begins to pave the way for speech retrieval; only recently has the search for information in speech recordings become feasible. This book provides the necessary introduction to speech recognition while discussing probabilistic retrieval and text retrieval, key topics in classic information retrieval. The book then discusses speech retrieval, which is even more challenging than retrieving text documents because word boundaries are difficult to detect, and recognition errors affect the retrieval effectiveness. This book also addresses the problem of integrating information retrieval and database functions, since there is an increasing need for retrieving information from frequently changing data collections which are organized and managed by a database system.
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases serves as an excellent reference source and may be used as a text for advanced courses on the topic.
Authors and Affiliations
Bibliographic Information
Book Title: Multimedia Information Retrieval
Book Subtitle: Content-Based Information Retrieval from Large Text and Audio Databases
Authors: Peter Schäuble
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-6163-7
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1997
Hardcover ISBN: 978-0-7923-9899-8Published: 30 April 1997
Softcover ISBN: 978-1-4613-7825-9Published: 29 October 2012
eBook ISBN: 978-1-4615-6163-7Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: IX, 190
Topics: Multimedia Information Systems, Information Storage and Retrieval, Data Structures and Information Theory, Computer Science, general