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Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases - Couverture rigide
Synopsis
Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital data repositories, such as digital libraries and other multimedia databases. Because of the dramatically increasing amount of multimedia data available, there is a growing need for new search techniques that provide not only fewer bits, but also the most relevant bits, to those searching for multimedia digital data. This book serves to bridge the gap between classic ranking of text documents and modern information retrieval where composite multimedia documents are searched for relevant information.
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.
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- ÉditeurSpringer
- Date d'édition1997
- ISBN 10 0792398998
- ISBN 13 9780792398998
- ReliureRelié
- Langueanglais
- Nombre de pages190
- Coordonnées du fabricantnon disponible
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Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases
Edité par
Springer, 1997
ISBN 10 : 0792398998
ISBN 13 : 9780792398998
Ancien ou d'occasion
Couverture rigide
Vendeur : Ammareal, Morangis, France
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Hardcover. Etat : Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1997. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Edition 1997. Ammareal gives back up to 15% of this item's net price to charity organizations. N° de réf. du vendeur E-836-327
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Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases: 397 (The Springer International Series in Engineering and Computer Science, 397)
Edité par
Springer, 1997
ISBN 10 : 0792398998
ISBN 13 : 9780792398998
Ancien ou d'occasion
Couverture rigide
Vendeur : Anybook.com, Lincoln, Royaume-Uni
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Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. Clean from markings. In good all round condition. No dust jacket. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,650grams, ISBN:9780792398998. N° de réf. du vendeur 9481770
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Multimedia Information Retrieval : Content-Based Information Retrieval from Large Text and Audio Databases
Edité par
Springer US, 1997
ISBN 10 : 0792398998
ISBN 13 : 9780792398998
Ancien ou d'occasion
Couverture rigide
Vendeur : Buchpark, Trebbin, Allemagne
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Etat : Sehr gut. Zustand: Sehr gut | Seiten: 202 | Sprache: Englisch | Produktart: Bücher. N° de réf. du vendeur 1369225/202
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Multimedia Information Retrieval Vol. 397 : Content-Based Information Retrieval from Large Text and Audio Databases
Edité par
Springer, 1997
ISBN 10 : 0792398998
ISBN 13 : 9780792398998
Ancien ou d'occasion
Couverture rigide
Vendeur : Better World Books, Mishawaka, IN, Etats-Unis
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Etat : Very Good. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. N° de réf. du vendeur GRP63271185
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Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases (The Springer International Series in Engineering and Computer Science, 397)
Edité par
Springer, 1997
ISBN 10 : 0792398998
ISBN 13 : 9780792398998
Ancien ou d'occasion
Couverture rigide
Vendeur : Wonder Book, Frederick, MD, Etats-Unis
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Etat : Very Good. Very Good condition. A copy that may have a few cosmetic defects. May also contain a few markings such as an owner's name, short gifter's inscription or light stamp. N° de réf. du vendeur L09J-01305
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Multimedia Information Retrieval
impression à la demandeVendeur : moluna, Greven, Allemagne
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital . N° de réf. du vendeur 5971804
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Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases (The Springer International Series in Engineering and Computer Science, 397)
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Multimedia Information Retrieval
Edité par
Springer US, Springer US Apr 1997, 1997
ISBN 10 : 0792398998
ISBN 13 : 9780792398998
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
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Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital data repositories, such as digital libraries and other multimedia databases. Because of the dramatically increasing amount of multimedia data available, there is a growing need for new search techniques that provide not only fewer bits, but also the most relevant bits, to those searching for multimedia digital data. This book serves to bridge the gap between classic ranking of text documents and modern information retrieval where composite multimedia documents are searched for relevant information.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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 202 pp. Englisch. N° de réf. du vendeur 9780792398998
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Multimedia Information Retrieval : Content-Based Information Retrieval from Large Text and Audio Databases
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Multimedia Information Retrieval : Content-Based Information Retrieval from Large Text and Audio Databases
Edité par
Springer US, Springer New York, 1997
ISBN 10 : 0792398998
ISBN 13 : 9780792398998
Neuf
Couverture rigide
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Multimedia Information Retrieval: Content-Based Information Retrieval from Large Text and Audio Databases addresses the future need for sophisticated search techniques that will be required to find relevant information in large digital data repositories, such as digital libraries and other multimedia databases. Because of the dramatically increasing amount of multimedia data available, there is a growing need for new search techniques that provide not only fewer bits, but also the most relevant bits, to those searching for multimedia digital data. This book serves to bridge the gap between classic ranking of text documents and modern information retrieval where composite multimedia documents are searched for relevant information. 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. N° de réf. du vendeur 9780792398998
Quantité disponible : 1 disponible(s)