The analysis and applications of adaptive-binning color histograms

Computer Vision and Image Understanding

Volumn 94, Issue 1-3, 2004, Pages 67-91

  Leow, Wee Kheng ^a   Li, Rui ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

Adaptive binning; Color histograms; Histogram based dissimilarity measures; Image classification; Image clustering; Image retrieval

Indexed keywords

ALGORITHMS; COLOR IMAGE PROCESSING; IMAGE ANALYSIS; IMAGE QUALITY; IMAGE UNDERSTANDING;

ADAPTIVE BINNING; COLOR HISTOGRAMS; HISTOGRAM BASED DISSIMILARITY MEASURES; IMAGE CLASSIFICATION; IMAGE CLUSTERING;

CONTENT BASED RETRIEVAL;

EID: 2342650829     PISSN: 10773142     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cviu.2003.10.010     Document Type: Article

References (38)

1. IEC 61966-2.1. Default RGB Colour Space - sRGB. International Electrotechnical Commission, Geneva, Switzerland, 1999. See also www.srgb.com.
2. R.S. Berns, Billmeyer and Saltzman's Principles of Color Technology, third ed., Wiley, New York, 2000.
3. E. Binaghi, I. Gagliardi, R. Schettini, Image retrieval using fuzzy evaluation of color similarity, Int. J. PR AI 8 (1994) 945-968.
4. I. Borg, P. Groenen, Modern Multidimensional Scaling, Springer-Verlag, New York, 1997.
5. R. Brunelli, O. Mich, Histograms analysis for image retrieval, Pattern Recogn. 34 (8) (2001) 1625-1637.
6. J. Burbea, C.R. Rao, Entropy differential metric, distance and divergence measures in probability spaces: a unified approach, J. Multivariate Anal. 12 (1982) 575-596.
7. J. Burbea, C.R. Rao, On the convexity of some divergence measures based on entropy functions, IEEE Trans. Inf. Theory 28 (3) (1982) 489-495.
8. G. Ciocca, R. Schettini, A relevance feedback mechanism for content-based image retrieval, Infor. Proc. Manage. 35 (1999) 605-632.
9. I.J. Cox, M.L. Miller, S.O. Omohundro, P.N. Yianilos, PicHunter: Bayesian relevance feedback for image retrieval, in: Proc. ICPR '96, 1996, pp. 361-369.
10. C.Y. Fung, K.F. Loe, Learning primitive and scene semantics of images for classification and retrieval, in: Proc. ACM Multimedia '99, 1999, pp. II: 9-12.
11. Y. Gong, G. Proietti, C. Faloutsos, Image indexing and retrieval based on human perceptual color clustering, in: Proc. CVPR '98, 1998.
12. S.-S. Guan, M.R. Luo, Investigation of parametric effects using small colour differences, Color Res. Appl. 24 (5) (1999) 331-343.
13. J. Hafner, H.S. Sawhney, W. Esquitz, M. Flickner, W. Niblack, Efficient color histogram indexing for quadratic form distance functions, IEEE Trans. PAMI 17 (1995) 729-736.
14. T. Indow, Predictions based on Munsell notation. I. perceptual color differences, Color Res. Appl. 24 (1) (1999) 10-18.
15. H. Jeffreys, Theory of Probability, second ed., Oxford, 1948.
16. 1 Norm and Related Methods, Elsevier Science, 1987, pp. 405-416.
17. L. Kaufmann, P.J. Rousseeuw, Finding Groups in Data: An Introduction to Cluster Analysis, Wiley, New York, 1990.
18. S. Kullback, R.A. Leibler, On information and sufficiency, Ann. Math. Stat. 22 (1951) 79-86.
19. B. Manjunath, W. Ma, Texture features for browsing and retrieval of image data, IEEE Trans. PAMI 18 (8) (1996) 837-842.
20. J.E. Marsden, M.J. Hoffman, Elementary Classical Analysis, second ed., W.H. Freeman, New York, 1993.
21. B.M. Mehtre, M.S. Kankanhalli, A. Desai, G.C. Man, Color matching for image retrieval, Pattern Recogn. Lett. 16 (1995) 325-331.
22. B.M. Mehtre, M.S. Kankanhalli, W.F. Lee, Content-based image retrieval using a composite color-shape approach, Inf. Process. Manage. 34 (1) (1998) 109-120.
23. M. Melgosa, Testing CIELAB-based color-difference formulas, Color Res. Appl. 25 (1) (2000) 49-55.
24. N.M. Nasrabad, R.A. King, Image coding using vector quantization: a review, IEEE Trans. Commun. 36 (8) (1988) 957-971.
25. W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, C. Faloutsos, G. Taubin, The QBIC project: querying images by content using color, texture, and shape, in: Proc. SPIE Conf. on Storage and Retrieval for Image and Video Databases, vol. 1908, 1993, pp. 173-181.
26. Z. Pečenović, Image retrieval using latent semantic indexing. Final Year Graduate Thesis, École Polytechnique Fédérale de Lausanne, Switzerland, 1997.
27. J. Puzicha, J.M. Buhmann, Y. Rubner, and C. Tomasi, Empirical evaluation of dissimilarity for color and texture, in: Proc. ICCV '99, 1999, pp. 1165-1172.
28. J. Puzicha, T. Hofmann, and J. Buhmann, Nonparametric similarity measures for unsupervised texture segmentation and image retrieval, in: Proc. CVPR '97, 1997, pp. 267-272.
29. K. Rodden, W. Basalaj, D. Sinclair, and K. Wood, A comparison of measures for visualising image similarity, in: Proc. Challenges of Image Retrieval, 2000.
30. Y. Rubner, Perceptual metrics for image database navigation, PhD thesis, Computer Science Department, Stanford USA, 1999.
31. Y. Rubner, C. Tomasi, L.J. Guibas, A metric for distributions with applications to image databases, in: Proc. ICCV '98, 1998.
32. S. Sclaroff, L. Taycher, M.L. Cascia, Image-Rover: a content-based image browser for the World Wide Web, in: Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, 1997.
33. N. Sebe, M.S. Lew, D.P. Huijsmans, Toward improved ranking metrics, IEEE. Trans. PAMI 22 (10) (2000) 1132-1143.
34. G. Sheikholeslami, W. Chang, A. Zhang, Semantic clustering and querying on heterogeneous features for visual data, in: Proc. ACM Multimedia '98, 1998, pp. 3-12.
35. J.R. Smith, S. Chang, Single color extraction and image query, in: Proc. ICIP '95, 1995.
36. T. Song, R. Luo, Testing color-difference formulae on complex images using a CRT monitor, in: Proc. 8th Color Imaging Conference, 2000.
37. I.J. Taneja, New developments in generalized information measures, in: P.W. Hawkes (Ed.), Advances in Imaging and Electron Physics, Academic Press, 1995.
38. A. Vailaya, A. Jain, H.J. Zhang, On image classification: city images vs. landscapes, Pattern Recogn. 31 (1998) 1921-1935.