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Conference Paper Image Description and Matching Scheme for Identical Image Searching
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Authors
Won Keun Yang, Ayoung Cho, Dong Seok Jeong, Weon Geun Oh
Issue Date
2009-11
Citation
Computation World 2009, pp.669-674
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ComputationWorld.2009.76
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). © 2009 IEEE.
KSP Keywords
Binary codes, Matching schemes, Overall performance, Statistical Features, Three dimensional(3D), image description, spatial feature