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Table of contents (11 chapters)
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Front Matter
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Back Matter
About this book
MPEG-7 is the first international standard which contains a number of key techniques from Computer Vision and Image Processing. The Curvature Scale Space technique was selected as a contour shape descriptor for MPEG-7 after substantial and comprehensive testing, which demonstrated the superior performance of the CSS-based descriptor.
Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization is based on key publications on the CSS technique, as well as its multiple applications and generalizations. The goal was to ensure that the reader will have access to the most fundamental results concerning the CSS method in one volume. These results have been categorized into a number of chapters to reflect their focus as well as content. The book also includes a chapter on the development of the CSS technique within MPEG standardization, including details of the MPEG-7 testing and evaluation processes which led to the selection of the CSS shape descriptor for the standard.
The book can be used as a supplementary textbook by any university or institution offering courses in computer and information science.
Authors and Affiliations
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University of Surrey, Guildford, UK
Farzin Mokhtarian
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Mitsubishi Electric Visual Information Lab, Guildford, UK
Miroslaw Bober
About the authors
Bibliographic Information
Book Title: Curvature Scale Space Representation: Theory, Applications, and MPEG-7 Standardization
Authors: Farzin Mokhtarian, Miroslaw Bober
Series Title: Computational Imaging and Vision
DOI: https://doi.org/10.1007/978-94-017-0343-7
Publisher: Springer Dordrecht
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media Dordrecht 2003
Hardcover ISBN: 978-1-4020-1233-4Published: 31 March 2003
Softcover ISBN: 978-90-481-6270-3Published: 19 November 2011
eBook ISBN: 978-94-017-0343-7Published: 11 November 2013
Series ISSN: 1381-6446
Edition Number: 1
Number of Pages: XIX, 431
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Mathematics, general, Image Processing and Computer Vision, Data Structures and Information Theory, Multimedia Information Systems, Information Storage and Retrieval