Image Description and Matching Scheme for Identical Image Searching

Author

Yang, Won-Keun ; Cho, Ayoung ; Jeong, Dong-Seok ; Oh, Weon-Geun

Author_Institution

Dept. of Electron. Eng., Inha Univ., Incheon, South Korea

fYear

2009

fDate

15-20 Nov. 2009

Firstpage

669

Lastpage

674

Abstract

This paper presents image description and matching scheme for identical image searching. In the proposed extraction scheme, an image is described by spatial and statistical features, and these features are combined. The concentric square partition is used for spatial feature. And three-transforms are adapted for statistical feature. The spatial feature is formed to binary code by hashing and the statistical feature is formed into three-dimensional histogram. The matching schemes are designed hierarchically using proposed spatial and statistical features. When we adapt the proposed whole description and matching scheme to search identical image, overall performance become 98.63% in Correct Search Ratio (CSR).

Keywords

image matching; 3D histogram; binary code; concentric square partition; correct search ratio; extraction scheme; hashing; identical image searching; image description; image matching scheme; statistical feature; Content based retrieval; Data mining; Discrete cosine transforms; Feature extraction; Hamming distance; Histograms; Image databases; Image retrieval; Pattern matching; Spatial databases; image Searching; image description; image matching; spatial feature; statistical feature;

fLanguage

English

Publisher

ieee

Conference_Titel

Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:

Conference_Location

Athens

Print_ISBN

978-1-4244-5166-1

Electronic_ISBN

978-0-7695-3862-4

Type

conf

DOI

10.1109/ComputationWorld.2009.76

Filename

5358876