Description: Multimedia Information Retrieval : Content-based Information Retrieval from Large Text and Audio Databases, Paperback by Schäuble, Peter, ISBN 1461378257, ISBN-13 9781461378259, Brand New, Free shipping in the US 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 data repositories, such as 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 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. Th 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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Book Title: Multimedia Information Retrieval : Content-based Information Retr
Number of Pages: IX, 190 Pages
Language: English
Publication Name: Multimedia Information Retrieval : Content-Based Information Retrieval from Large Text and Audio Databases
Publisher: Springer
Subject: System Administration / Storage & Retrieval, Interactive & Multimedia, Databases / General
Item Height: 0.2 in
Publication Year: 2012
Type: Textbook
Item Weight: 11.3 Oz
Author: Peter Schäuble
Subject Area: Computers
Item Length: 9.3 in
Item Width: 6.1 in
Series: The Springer International Series in Engineering and Computer Science Ser.
Format: Trade Paperback