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Image Retrieval using Modified Color Correlogram  

안명석 (한국해양대학교 컴퓨터공학과)
조석제 (한국해양대학교 기계·정보학부 제어계측공학과)
Publication Information
Journal of KIISE:Software and Applications / v.29, no.12, 2002 , pp. 940-946 More about this Journal
Abstract
This paper proposes an image retrieval method to use the modified color correlogram. For retrieving images with less effect of the size variation of the regions in an image, the modified color correlogram is extracted by normalizing auto-correlogram and cross-correlogram of the color correlogram from a color image, and the similarity of two images is calculated by putting the less weight to the auto-correlogram of the modified color correlogram. Because proposed method uses the information of the color correlogram more effectively, we can get better results than that of color correlogram method. In the experiments, the performance of the proposed method is better as compared with that of the color cerrelogram method.
Keywords
ANMRR; color correlogram; color histogram; Image Retrieval; ANMRR;
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1 J. Huang, S. R. Kumar, M. Mitra, W. J. Zhu, and R. Zabih, 'Spatial Color Indexing and Applications,' Int'I. Journal of Computer Vision, Vol. 35, No.3, pp. 245-268, 1999   DOI
2 A. Pentland, R. W. Picard, and S. Sclaroff et al., 'Photobook: Tools for Content-Based Manipulation of Image Databases,' SPIE Proc. in Storage and Retrieval for Image and Video Databases II, Vol. 2185, Feb. 1994   DOI
3 J. R. Smith and S. F. Chang, 'Visual-SEEK: A Fully Automated Content-Based Image Query System,' ACM. Multimedia, Nov. 1996   DOI
4 G. Pass and R. Zabih, 'Histogram Refinement for Content-Based Image retrieval,' ACM. Journal of Multimedia System, Vol. 7. No.3, pp. 234-240, 1999   DOI
5 J. Huang, S.R. Kumar, M. Mitra, W. Zhu and R Zabih, 'Image indexing using color correlograms,' Proc. CVPR, pp. 762-768, 1997   DOI
6 W. Y. Ma, 'Netra: A Toolbox for Navigating Large Image Databases,' Thesis of Ph.D., Electrical & Computer Engineering, California Univ., 1997
7 W. Niblack, R. Barber, and W. Equitz, et al., 'The QBIC Project: Querying lmages by Content Using Color, Texture, and Shape,' SPIE Int'l. Symp, on Electronic Imaging Science and Technology, Vol. 1908, pp. 173-187, 1993   DOI
8 안명석, 조석제, '분할된 영상에서의 칼라 코렐로그램을 이용한 내용기반 영상검색', 한국정보과학회 논문집, CST, 제28권, 제9.10호, pp.507-512, 2001   과학기술학회마을
9 M. Swain and D. Ballard, 'Color Indexing,' Int'l. Journal of Computer Vision, Vol. 7, No.1, pp. 11-32, 1991   DOI
10 안명석, 류길수, 조석제, '칼라 크로스 코렐로그램을 이용한 영상 검색', 한국정보처리학회 학술 발표대회 논문집, 제8권, 제2호, pp.747-750, 2001   과학기술학회마을
11 J. Huang, 'Color-Spatial Image Indexing and Applications,' Thesis of Ph.D., the Faculty of the Graduate School of Cornell Univ. 1998
12 Vassili Kovalev and Stephan Volmer, 'Color Co-Occurrence Descriptors for Querying-by-Example,' Proc. Multimedia Modeling, Oct. 1998   DOI
13 Wei-Ying Ma, Hong Jiang Zhang, 'Benchmarking of image features for content-based retrieval,' Record of the 32nd Asilomar Conf. on Signals, Systems & Computers, Vol. pp. 253-257, 1998   DOI
14 ISO/IEC/JTC1/SC29/WG11: 'Description of Core Experiments for MPEG-7 Color/Texture Descriptors.' MPEG document N2929, Melbourne, Oct. 1999