Image Replica Detection using R-Trees and Linear Discriminant Analysis

Author

Nikolopoulos, Spyros ; Zafeiriou, Stefanos ; Sidiropoulos, Panagiotis ; Nikolaidis, Nikos ; Pitas, Ioannis

Author_Institution

Dept. of Informatics, Aristotelian Univ. of Thessaloniki

fYear

2006

fDate

9-12 July 2006

Firstpage

1797

Lastpage

1800

Abstract

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

Keywords

feature extraction; image colour analysis; image enhancement; image representation; indexing; trees (mathematics); visual databases; LDA; R-tree; color-based descriptor; decision error; feature extraction; image indexing; image replica detection; image representation; linear discriminant analysis; Feature extraction; Image databases; Image representation; Image retrieval; Indexing; Information retrieval; Linear discriminant analysis; Robustness; Spatial databases; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2006 IEEE International Conference on

Conference_Location

Toronto, Ont.

Print_ISBN

1-4244-0366-7

Electronic_ISBN

1-4244-0367-7

Type

conf

DOI

10.1109/ICME.2006.262901

Filename

4036970