Image replica detection using R-Trees and Linear Discriminant Analysis

被引：2

作者：

Nikolopoulos, Spyros ^{[1
]}

Zafeiriou, Stefanos ^{[1
]}

Sidiropoulos, Panagiotis ^{[1
]}

Nikolaidis, Nikos ^{[1
]}

Pitas, Ioannis ^{[1
]}

机构：

[1] Aristotle Univ Thessaloniki, Dept Informat, Box 451, Thessaloniki 54124, Greece

来源：

2006 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO - ICME 2006, VOLS 1-5, PROCEEDINGS | 2006年

关键词：

D O I：

10.1109/ICME.2006.262901

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：1797 / 1800

页数：4

共 50 条

[31] Multispectral magnetic resonance image analysis using principal component and linear discriminant analysis
Witjes, H
Rijpkema, M
van der Graaf, M
Melssen, W
Heerschap, A
Buydens, L
[J]. JOURNAL OF MAGNETIC RESONANCE IMAGING, 2003, 17 (02) : 261 - 269
[32] Transmissibility-based damage detection using linear discriminant analysis
Zhou, Y. L.
Figueiredo, E.
Maia, N.
Sampaio, R.
Perera, R.
[J]. PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2014) AND INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2014), 2014, : 527 - 535
[33] Multispectral palmprint recognition using Image-Based Linear Discriminant Analysis
Cui, Jin-Rong
[J]. INTERNATIONAL JOURNAL OF BIOMETRICS, 2012, 4 (02) : 106 - 115
[34] Spatial joins using R-trees: Breadth-first traversal with global optimizations
Huang, YW
Jing, N
Rundensteiner, EA
[J]. PROCEEDINGS OF THE TWENTY-THIRD INTERNATIONAL CONFERENCE ON VERY LARGE DATABASES, 1997, : 396 - 405
[35] Multi-way spatial joins using R-trees: Methodology and performance evaluation
Park, HH
Cha, GH
Chung, CW
[J]. ADVANCES IN SPATIAL DATABASES, 1999, 1651 : 229 - 250
[36] Recognition of protozoa and metazoa using image analysis tools, discriminant analysis, neural networks and decision trees
Ginoris, Y. P.
Amaral, A. L.
Nicolau, A.
Coelho, M. A. Z.
Ferreira, E. C.
[J]. ANALYTICA CHIMICA ACTA, 2007, 595 (1-2) : 160 - 169
[37] Bounding the Weisfeiler-Leman Dimension via a Depth Analysis of I/R-Trees
Kiefer, Sandra
Neuen, Daniel
[J]. PROCEEDINGS OF THE 39TH ANNUAL ACM/IEEE SYMPOSIUM ON LOGIC IN COMPUTER SCIENCE, LICS 2024, 2024,
[38] Processing distance-based queries in multidimensional data spaces using R-trees
Corral, A
Cañadas, J
Vassilakopoulos, M
[J]. ADVANCES IN INFORMATICS, 2003, 2563 : 1 - 18
[39] A web-based spatial data access system using semantic R-trees
Chen, SC
Wang, XR
Rishe, N
Weiss, MA
[J]. INFORMATION SCIENCES, 2004, 167 (1-4) : 41 - 61
[40] Efficient organization of health data using modified range based multidimensional R-Trees
Srinivasan, S.
Bhargavi, R.
Vaidehi, V.
Srivatsa, Ram K.
Kumar, Ram, I
[J]. 2013 INTERNATIONAL CONFERENCE ON RECENT TRENDS IN INFORMATION TECHNOLOGY (ICRTIT), 2013, : 557 - 561

← 1 2 3 4 5 →