Buy it now
Buying options
Tax calculation will be finalised at checkout
Other ways to access
This is a preview of subscription content, log in via an institution to check for access.
Table of contents (6 chapters)
-
Front Matter
-
Back Matter
About this book
Content-Based Image And Video Retrieval addresses the basic concepts and techniques for designing content-based image and video retrieval systems. It also discusses a variety of design choices for the key components of these systems. This book gives a comprehensive survey of the content-based image retrieval systems, including several content-based video retrieval systems. The survey includes both research and commercial content-based retrieval systems. Content-Based Image And Video Retrieval includes pointers to two hundred representative bibliographic references on this field, ranging from survey papers to descriptions of recent work in the area, entire books and more than seventy websites. Finally, the book presents a detailed case study of designing MUSE–a content-based image retrieval system developed at Florida Atlantic University in Boca Raton, Florida.
Authors and Affiliations
-
Florida Atlantic University, Boca Raton, USA
Oge Marques, Borko Furht
Bibliographic Information
Book Title: Content-Based Image and Video Retrieval
Authors: Oge Marques, Borko Furht
Series Title: Multimedia Systems and Applications
DOI: https://doi.org/10.1007/978-1-4615-0987-5
Publisher: Springer New York, NY
-
eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2002
Hardcover ISBN: 978-1-4020-7004-4Published: 30 April 2002
Softcover ISBN: 978-1-4613-5338-6Published: 09 November 2012
eBook ISBN: 978-1-4615-0987-5Published: 06 December 2012
Series ISSN: 1568-2358
Series E-ISSN: 2945-5715
Edition Number: 1
Number of Pages: XIII, 182
Topics: Data Structures and Information Theory, Information Storage and Retrieval, Multimedia Information Systems