Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases - The Springer International Series in Engineering and Computer Science 397 (Paperback)Peter K. Schauble (author)
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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.
Publisher: Springer-Verlag New York Inc.
Number of pages: 190
Weight: 320 g
Dimensions: 235 x 155 x 10 mm
Edition: Softcover reprint of the original 1st ed. 199
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