Optimality of the basic colour categories for classification

Journal of the Royal Society Interface

Volumn 3, Issue 6, 2006, Pages 71-85

  Griffin, Lewis D ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Basic colour terms; Colour histograms; Colour quantization; Image retrieval

Indexed keywords

ARTICLE; CLASSIFICATION; COGNITION; COLOR; DATA BASE; IMAGING; INTERNET; LANGUAGE; MATHEMATICAL COMPUTING; SCORING SYSTEM; TASK PERFORMANCE; VISION; ALGORITHM; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COLORIMETRY; COMPARATIVE STUDY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; EVALUATION; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COLORIMETRY; COMPUTER GRAPHICS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED; USER-COMPUTER INTERFACE;

EID: 33747146807     PISSN: 17425689     EISSN: 17425662     Source Type: Journal    
DOI: 10.1098/rsif.2005.0076     Document Type: Article

References (54)

1. Aherne, F. J., Thacker, N. A. & Rockett, P. I. 1997 The Bhattacharyya metric as an absolute similarity measure for frequency coded data. Kybernetika 32, 1-7.
2. Amery, H. 1997 First 1000 words sticker book. London: Usborne Publishing Ltd.
3. Berlin, B. & Kay, P. 1969 Basic color terms: their universality and evolution. Berkeley: University of California Press.
4. Brown, D. E. 1991 Human universals. New York: McGraw-Hill.
5. Buchsbaum, G. & Bloch, O. 2002 Color categories revealed by non-negative matrix factorization of Munsell color spectra. Vis. Res. 42, 559-563. (doi:10.1016/S0042-6989(01)00303-0)
6. Chazelle, B. 1993 An optimal convex hull algorithm in any fixed dimension. Discrete & Computational Geometry 10, 377-409.
7. Ciocca, G. & Schettini, R. 1999 A relevance feedback mechanism for content-based image retrieval. Inf. Process. Manag. 32, 1685-1695.
8. Davidoff, J., Davies, I. & Roberson, D. 1999 Colour categories in a stone-age tribe. Nature 398, 203-204. (doi:10.1038/ 18335)
9. Dowman, M. 2002 Modelling the acquisition of colour words, in Al 2002. Adv. Artif. Intell., 259-271.
10. D'Zmura, M. & Knoblauch, K. 1998 Spectral bandwidths for the detection of color. Vis. Res. 38, 3117-3128. (doi:10. 1016/S0042-6989(97)00381-7)
11. Ellison, T. M. 2001 Induction and inherent similarity. In Similarity and categorization (ed. U. Hahn & M. Ramscar), pp. 29-49. Oxford: OUP.
12. Gagliardi, I. & Schettini, R. 1997 A method for the automatic indexing of colour images for effective image retrieval. N. Rev. Hypermedia Multimedia 3, 201-224.
13. Gärdenfors, P. 2000 Conceptual spaces: the geometry of thought. Cambridge, MA: MIT Press.
14. Gibson, J. J. 1979 The ecological approach to visual perception. Boston: Houghton Mifflin.
15. Gong, Y. H., Chuan, C. H. & Guo, X. Y. 1996 Image indexing and retrieval based on color histograms. Multimedia Tools Appl. 2, 133-156.
16. Griffin, L. D. 1999 Partitive mixing of images: a tool for investigating pictorial perception. J. Opt. Soc. Am. A 16, 2825-2835.
17. Griffin, L. D. 2001 Similarity of pyschological and physical colour space shown by symmetry analysis. Color Res. Appl. 26, 151-157. (doi:10.1002/1520-6378(200104)26:2〈151::AID-COL1006〉3.0.CO;2-G)
18. Griffin, L. D. & Sepehri, A. 2002 Performance of CIE94 for non-reference conditions. Color Res. Appl. 27, 108-115. (doi:10.1002/col.10029)
19. Hering, E. 1920 Outlines of a theory of the light sense. Harvard: Harvard University Press.
20. Humphrey, G. K. 1994 The role of surface information in object recognition: studies of a visual form agnosic and normal subjects. Perception 23, 1457-1481.
21. Hurlbert, A. 1998 Illusions and reality checking on the small screen. Perception 27, 633-636.
22. Hurvich, L. M. & Jameson, D. 1957 An opponent-process theory of color vision. Psychol. Rev. 64, 384-404.
23. Ingemar, J. C. et al. 2000 The Bayesian image retrieval system, pichunter: theory, implementation, and psychophysical experiments. IEEE Trans. Image Process. 9, 20-37. (doi:10.1109/83.817596)
24. ITU 1990 Parameter values for the HDTV standards for production and international programme exchange, ITU-R BT.709-3. Geneva: International Telecommunications Union.
25. Jameson, K. A. In press. Culture and cognition: what is universal about color experience? J. Cogn. Culture.
26. Kay, P. 1999 Color. J. Linguistic Anthropol. 1, 29-32.
27. Kay, P. & Maffi, L. 1999 Color appearance and the emergence and evolution of basic color lexicons. Am. Anthropol. 101, 743-760. (doi:10.1525/aa.1999.101.4.743)
28. Kay, P. & Regier, T. 2003 Resolving the question of color naming universals. Proc. Natl Acad. Sci. USA 100, 9085-9089. (doi:10.1073/pnas.1532837100)
29. Kay, P. et al. 2005 The World Color Survey. Center for the Study of Language and Information.
30. Kelly, K. L. & Judd, D. B. 1976 Color: universal language and dictionary of names. National Bureau of Standards 189.
31. Kim, C. E. & Rosenfeld, A. 1982 Digital straight lines and convexity of digital regions. IEEE Trans. Pattern Anal. Mach. Intell. 4, 149-153.
32. Koenderink, J. J. & van Doorn, A. J. 2003 Perspectives on color space. In Colour perception: mind and the physical world (ed. R. Mausfield & D. Heyer), pp. 1-56. Oxford: Oxford University Press.
33. Kuehni, R. G. 2004 Variability in unique hue selection: a surprising phenomenon. Color Res. Appl. 29, 158-162. (doi:10.1002/col.10237)
34. Lin, H. et al. 2001 A cross-cultural colour-naming study. Part I. Using an unconstrained method. Color Res. Appl. 26, 40-60. (doi:10.1002/1520-6378(200102)26:1〈40::AID-COL5〉3.0.CO;2-X)
35. Lucy, J. A. 1997 The linguistics of color. In Color categories in thought and language (ed. C. L. Hardin & L. Maffi), pp. 320-346. Cambridge: Cambridge University Press.
36. Manly, B. F. J. 1997 Randomization, bootstrap and monte carlo methods in biology. London: Chapman & Hall.
37. Ostergaard, A. L. & Davidoff, L. B. 1985 Some effects of colour on naming and recognition of objects. J. Exp. Psychol. 11, 579-587.
38. Paramei, G. V. 2005 Singing the Russian blues: an argument for culturally basic color terms. Cross-Cult. Res. 39, 10-38.
39. Riemann, A. 1854 On the hypotheses which lie at the foundations of geometry. A Source Book of Mathematics. New York: Dover.
40. Roberson, D. 2005 Color categories are culturally diverse in cognition as well as in language. Cross-Cult. Res. 39, 56-71. (doi:10.1177/1069397104267890)
41. Roberson, D., Davies, I. & Davidoff, J. 2000 Color categories are not universal: Replications and new evidence from a stone-age culture. J. Exp. Psychol.-Gen. 129, 369-398. (doi:10.1037//0096-3445.129.3.369)
42. Saunders, B. 2000 Revisiting basic color terms. J. R. Anthropol. Inst. 6, 81-99.
43. Saunders, B. & van Brakel, J. 1997 Are there non-trivial constraints on color categorization? Behav. Brain Sci. 20, 167-228. (doi:10.1017/S0140525X97531426)
44. Schirillo, J. 2001 Tutorial on the importance of color in language and culture. Color Res. Appl. 26, 179-192. (doi:10.1002/col.1016)
45. Sclaroff, S., Taycher, L. & La Cascia, M. 1997 Image-Rover: a content-based image browser for the world wide web. In Proc. IEEE Workshop on Content-based Access Image and Video Libraries, pp. 2-9. Los Alamitos: IEEE Computer Press.
46. Smith, J. R. & Chang, S.-F. 1995 Single color extraction and image query. Proc. ICIP, vol. 3, pp. 528-531. Los Alamitos: IEEE Computer Press.
47. Steels, L. & Belpaeme, T. In press. Coordinating perceptually grounded categories through language. A case study for colour. Behav. Brain Sci.
48. Swain, M. J. & Ballard, D. H. 1991 Color indexing. Int. J. Comput. Vis. 7, 11-32. (doi:10.1007/BF00130487)
49. Tanaka, J., Weiskopf, D. & Williams, P. 2001 The role of color in high-level vision. Trends Cogn. Sci. 5, 211-215. (doi:10.1016/S1364-6613(00)01626-0)
50. von Kries, J. 1902 Chromatic adaptation. In Sources of colour vision (ed. D. L. MacAdam), pp. 109-119. Cambridge, MA: MIT Press.
51. Webster, M. A. 2000 Variations in normal color vision. II. Unique hues. J. Opt. Soc. Am. A 17, 1545-1555.
52. Webster, M. A. & Mollon, J. D. 1994 The influence of contrast adaptation on color appearance. Vis. Res. 34, 1993-2020. (doi:10.1016/0042-6989(94)90028-0)
53. Wurm, L. H. et al. 1993 Color improves object recognition in normal and low vision. J. Exp. Psychol.: Hum. Percept. Perform. 19, 899-911. (doi:10.1037//0096-1523. 19.4.899)
54. Yendrikhovskij, S. N. 2001 Computing color categories from statistics of natural images. J. Imaging Sci. Technol. 45, 409-417.