DocumentCode
2457456
Title
Content-based image retrieval using Fourier descriptors on a logo database
Author
Folkers, Andre ; Samet, Hanan
Author_Institution
Inst. for Signal Process., Med. Univ. of Lubeck, Germany
Volume
3
fYear
2002
fDate
2002
Firstpage
521
Abstract
A system that enables the pictorial specification of queries in an image database is described. The queries are comprised of rectangle, polygon, ellipse, and B-spline shapes. The queries specify which shapes should appear in the target image as well as spatial constraints on the distance between them and their relative position. The retrieval process makes use of an abstraction of the contour of the shape which is invariant against translation, scale, rotation, and starting point, that is based on the use of Fourier descriptors. These abstractions are used in a system to locate logos in an image database. The utility of this approach is illustrated using some sample queries.
Keywords
Fourier analysis; content-based retrieval; database theory; edge detection; image retrieval; visual databases; Fourier descriptors; content-based retrieval; image database; image retrieval; logos; pictorial query processing; pictorial specification; shape contour abstraction; spatial constraints; Biomedical imaging; Computer science; Content based retrieval; Educational institutions; Image databases; Image retrieval; Information retrieval; Shape; Signal processing; Spline;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1047991
Filename
1047991
Link To Document