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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Multimedia Mining: A Highway to Intelligent Multimedia Documents brings together experts in digital media content analysis, state-of-art data mining and knowledge discovery in multimedia database systems, knowledge engineers and domain experts from diverse applied disciplines.
Multimedia documents are ubiquitous and often required, if not essential, in many applications today. This phenomenon has made multimedia documents widespread and extremely large. There are tools for managing and searching within these collections, but the need for tools to extract hidden useful knowledge embedded within multimedia objects is becoming pressing and central for many decision-making applications. The tools needed today are tools for discovering relationships between objects or segments within multimedia document components, such as classifying images based on their content, extracting patterns in sound, categorizing speech and music, and recognizing and tracking objects in video streams.
Editors and Affiliations
Bibliographic Information
Book Title: Multimedia Mining
Book Subtitle: A Highway to Intelligent Multimedia Documents
Editors: Chabane Djeraba
Series Title: Multimedia Systems and Applications
DOI: https://doi.org/10.1007/978-1-4615-1141-0
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Kluwer Academic Publishers 2003
Hardcover ISBN: 978-1-4020-7247-5Published: 30 November 2002
Softcover ISBN: 978-1-4613-5412-3Published: 23 October 2012
eBook ISBN: 978-1-4615-1141-0Published: 06 December 2012
Series ISSN: 1568-2358
Series E-ISSN: 2945-5715
Edition Number: 1
Number of Pages: XIV, 231
Topics: Data Structures and Information Theory, Artificial Intelligence, Computer Imaging, Vision, Pattern Recognition and Graphics, Multimedia Information Systems