Indexing and Retrieval of Images using Multiple Features
Abstract
Content-based retrievals in image databases require appropriate features of images to be derived and used in the indexing and searching process. The kinds of features used, their organization in suitable data structures, and the similarity search scheme, directly affect the speed and quality of content-based retrievals. In this paper, we evaluate the relative siginificance of three different image features - geometry, moments, and Fourier descriptors in the context of content-based retrievals, and present experimental results. These could be used to tune the search process which speeds up the retrieval without significantly affecting the retrieval quality.
Recommended Citation
S. R. Subramanya et al., "Indexing and Retrieval of Images using Multiple Features," 15th International Conference on Computers and Their Applications 2000, CATA 2000, pp. 146 - 149, International Society for Computers and Their Applications, Jan 2000.
Department(s)
Electrical and Computer Engineering
Second Department
Computer Science
International Standard Book Number (ISBN)
978-161839546-7
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 International Society for Computers and Their Applications , All rights reserved.
Publication Date
01 Jan 2000
