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http://dx.doi.org/10.3745/KIPSTB.2006.13B.3.275

Image Retrieval Using the Color Co-occurrence Histogram Describing the Size and Coherence of the Homogeneous Color Region  

An Myung-Seok (한국해양대학교 컴퓨터 공학과)
Cho Seok-Je (한국해양대학교 IT공학부)
Publication Information
The KIPS Transactions:PartB / v.13B, no.3, 2006 , pp. 275-282 More about this Journal
Abstract
For the efficient image retrieval, the method has studied that uses color distribution and relations between pixels. This paper presents the color descriptor that stands high above the others in image retrieval capacity. It is based on color co-occurrence histogram that the diagonal part and the non-diagonal part are attached the weight and modified to energy of color co-occurrence histogram, and the number of bins with petty worth have little influence is curtailed. It's verified by analysis that the diagonal part carries size information of homogeneous color region and the non-diagonal part does information about the coherence of it, Moreover the non-diagonal part is more influential than diagonal part in survey of similarity between images. So, the non-diagonal part is attached more weight than the diagonal part as a result of the research. The experiments validate that the proposed descriptor shows better image retrieval performance when the weight for non-diagonal part is set to the value between 0.7 and 0.9.
Keywords
Image Retrieval; Co-occurrence Histogram;
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1 J. Huang, S. Kumar, and R. Zabih, 'Automatic Hierarchical Color Image Classification,' JASP, Vo.2, pp.151-159, 2003   DOI   ScienceOn
2 D. Messing, P. Beek, and J. Errico, 'The MPEG-7 Colour Structure Descriptors: Image Description using Colour and Local Spatial Information,' Proc. of ICIP, Vol.1, pp.670-673, 2001   DOI
3 Patrick N., J. Restat, and at al, 'Subjective Evaluation of the MPEG-7 Retrieval Accuracy Measure(ANMRR),' ISO/WG11 MPEG Meeting, Geneva, Doc. M6029, 2000
4 N. Howe and A. Ricketson, 'Improving the Boosted Correlogram,' ICIAR, Vol.1, pp.803-810, 2004
5 V. Kovalev and S. Volmer, 'Color Co-occurrence Descriptors for Querying-by-Example,' Proc. of the Conf. on Multimedia Modeling, p.32, 1998   DOI
6 A. Bimbo, 'Visual Information Retrieval', Morgan Kaufmann, 2001
7 S. O. Shim and T. S. Choi, 'Image Indexing by Modified Color Co-occurrence matrix,' Proc. Of ICIP, Vol.3, pp.III-493-496, 2003   DOI
8 J. Huang, S. Kumar, and et al, 'Spatial Color Indexing and Applications,' IJCV, Vol.35, No.3, pp.245-268, 1999   DOI
9 B. Manjunath, J. Ohm, V. Vasudevan, and A. Yamada, 'Color and Texture Descriptors,' IEEE Trans. on CSVT, Vol.11, No.6, 2001   DOI   ScienceOn
10 G. Pass, R. Zabih, and J. Miller, 'Comparing Images using Colour Coherence Vectors,' Proc. of the ACM Conf. on Multimedia, pp.65-73, 1996   DOI
11 G. Paschos, I. Radev, and N. Prabakar, 'Image Content-based Retrieval Using Chromaticity Moments,' IEEE Trans. On KDE, Vol.15, No. 5, pp.1069-1072, 2003   DOI   ScienceOn
12 A. Smeulders, M. Worring, and et al, 'Content-based Image Retrieval at the End of the early Years,' IEEE Trans. on PAMI, Vol.22, No.12, 2000   DOI   ScienceOn
13 M. Swain and D. Ballard, 'Color Indexing,' IJCV, Vol.7, No.1, pp.11-32, 1992   DOI
14 E. Broek, P. Kisters, and L. Vuurpijl, 'Content-Based Image Retrieval Benchmarking: Utilizing Color Categories and Color Distributions,' JIST, Vol.49, No.3, pp.293-301, 2005
15 K. Wong, C. Cheung, and et al, 'Dominant Color Image Retrieval using Merged Histogram,' Proc. of IEEE ISCS, Vol.2, pp.908-911, 2003