Title :
Invariant content-based image retrieval using a complete set of Fourier-Mellin descriptors
Author :
Derrode, Stéphane ; Daoudi, Mohamed ; Ghorbel, Faouzi
Author_Institution :
Groupe de Recherche Images et Formes, ENIC/INT-Cite Sci., Villeneuve d´´Ascq, France
Abstract :
Image retrieval from a large database is an important and emerging search area. This retrieval requires the choice of a suitable set of image features, a method to extract them correctly, and a measure of the similarity between features that can be computed in real time. The paper presents a complete set of Fourier-Mellin descriptors for object storage and retrieval. Our approach is translation, rotation and scale invariant. Several retrieval examples in a large image database are presented
Keywords :
content-based retrieval; feature extraction; real-time systems; very large databases; visual databases; Fourier-Mellin descriptors; image features; invariant content based image retrieval; large image database; object storage; search area; Content based retrieval; Fourier transforms; Image analysis; Image databases; Image retrieval; Information retrieval; Real time systems; Shape; Spatial databases; Visual databases;
Conference_Titel :
Multimedia Computing and Systems, 1999. IEEE International Conference on
Conference_Location :
Florence
Print_ISBN :
0-7695-0253-9
DOI :
10.1109/MMCS.1999.778603
