Shape Analysis and Retrieval of Multimedia Objects provides a comprehensive survey of the most advanced and powerful shape retrieval techniques used in practice today. In addition, this monograph addresses key methodological issues for evaluation of the shape retrieval methods.
Shape Analysis and Retrieval of Multimedia Objects is designed to meet the needs of practitioners and researchers in industry, and graduate-level students in Computer Science.
Author(s): Maytham H. Safar, Cyrus Shahabi (auth.)
Series: Multimedia Systems and Applications 23
Edition: 1
Publisher: Springer US
Year: 2003
Language: English
Pages: 130
Tags: Data Structures, Cryptology and Information Theory; Information Storage and Retrieval; Multimedia Information Systems; Computer Imaging, Vision, Pattern Recognition and Graphics
Front Matter....Pages i-xxix
Front Matter....Pages 1-1
Image Description Techniques....Pages 3-7
Image Similarity Measures....Pages 9-11
Image Shape Features....Pages 13-18
Alternative Image Description Techniques....Pages 19-27
Front Matter....Pages 29-29
Shape Similarity Matching Queries....Pages 31-41
Spatial Queries....Pages 43-62
Multidimensional Index Structures....Pages 63-77
Front Matter....Pages 79-79
Observations on MBC and MBR Approaches....Pages 81-83
Evaluation Framework....Pages 85-94
MBC Optimization Techniques....Pages 95-104
Appendix....Pages 105-116
Bibliography....Pages 117-126
Back Matter....Pages 127-130