DocumentCode
3109728
Title
Content-based image retrieval using orthogonal moments heuristically
Author
Patra, J.C. ; Sood, S. ; Meher, P.K. ; Bornand, C.
Author_Institution
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
fYear
2008
fDate
12-15 Oct. 2008
Firstpage
512
Lastpage
517
Abstract
A number of approaches have been used recently for image retrieval using color features. Use of orthogonal moments instead of normal moments and histograms has been found to be more effective. We propose a scheme to further improve the efficiency by using the most differentiating moments heuristically. The performance for moments calculated using four different orthogonal polynomials is compared and a study is conducted to see if the four types of moments can be used together.
Keywords
Legendre polynomials; content-based retrieval; feature extraction; image colour analysis; image retrieval; Lagendre orthogonal polynomial; color feature; content-based image retrieval; orthogonal moment heuristically; Content based retrieval; Image retrieval; Mediation; Ontologies; Resource description framework; Social network services; Tagging; Web sites; Wikipedia; YouTube; Chebyshev; Hermite and Laguerre orthogonal polynomials; Legendre; image moments; image retrieval;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
Conference_Location
Singapore
ISSN
1062-922X
Print_ISBN
978-1-4244-2383-5
Electronic_ISBN
1062-922X
Type
conf
DOI
10.1109/ICSMC.2008.4811328
Filename
4811328
Link To Document