Save 40% on select Business & Management books + FREE shipping or 50% on Physics eBooks!

The Springer International Series in Engineering and Computer Science

Multimedia Information Retrieval

Content-Based Information Retrieval from Large Text and Audio Databases

Authors: Schäuble, Peter

Free Preview

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-1-4615-6163-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.99
price for USA in USD
  • ISBN 978-0-7923-9899-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.99
price for USA in USD
  • ISBN 978-1-4613-7825-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

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.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $149.00
price for USA in USD (gross)
  • ISBN 978-1-4615-6163-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $229.99
price for USA in USD
  • ISBN 978-0-7923-9899-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $199.99
price for USA in USD
  • ISBN 978-1-4613-7825-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Multimedia Information Retrieval
Book Subtitle
Content-Based Information Retrieval from Large Text and Audio Databases
Authors
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
397
Copyright
1997
Publisher
Springer US
Copyright Holder
Springer Science+Business Media New York
eBook ISBN
978-1-4615-6163-7
DOI
10.1007/978-1-4615-6163-7
Hardcover ISBN
978-0-7923-9899-8
Softcover ISBN
978-1-4613-7825-9
Series ISSN
0893-3405
Edition Number
1
Number of Pages
IX, 190
Topics