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 :
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