2006 IEEE International Conference on Multimedia and Expo
Image Replica Detection using R-Trees and Linear Discriminant Analysis
Toronto, ON, Canada
July 09-July 12
ISBN: 1-4244-0366-7
Spyros Nikolopoulos, Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece
Stefanos Zafeiriou, Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece
Panagiotis Sidiropoulos, Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece
Nikos Nikolaidis, Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: nikolaid@aiia.csd.auth.gr
Ioannis Pitas, Dept. of Informatics, Aristotle University of Thessaloniki, Box 451, 54124 Thessaloniki, Greece. e-mail: pitas@aiia.csd.auth.gr
In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These features are used for indexing the images in a database using an R-Tree. When a query about whether a test image is a replica of an image in the database is submitted, the R-Tree is traversed and a set of candidate images is retrieved. Then, in order to obtain a single result and at the same time reduce the number of decision errors the system is enhanced with Linear Discriminant Analysis (LDA). The conducted experiments show that the proposed approach is very promising.
Citation:
Spyros Nikolopoulos, Stefanos Zafeiriou, Panagiotis Sidiropoulos, Nikos Nikolaidis, Ioannis Pitas, "Image Replica Detection using R-Trees and Linear Discriminant Analysis," icme, pp.1797-1800, 2006 IEEE International Conference on Multimedia and Expo, 2006
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