Content-based image retrieval benchmarking: Utilizing color categories and color distributions

Journal of Imaging Science and Technology

Volumn 49, Issue 3, 2005, Pages 293-301

  Van Den Broek, Egon L ^a,b   Kisters, Peter M F ^a   Vuurpijl, Louis G ^a  

^a RADBOUD UNIVERSITY NIJMEGEN   (Netherlands)

^b VU UNIVERSITY AMSTERDAM   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CAMERAS; COLOR IMAGE PROCESSING; COMPUTER GRAPHICS; INTERNET; SEMANTICS; TEXTURES;

COLOR DISTRIBUTIONS; SEMANTIC CONTENTS; SPATIAL CHARACTERISTICS; WEB GRAPHICS;

CONTENT BASED RETRIEVAL;

EID: 23744506558     PISSN: 10623701     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. J. R. Janesick, Scientific Charge-Coupled Devices, SPIE, The International Society for Optical Engineering, Bellingham, WA, 2001.
2. B. H. Murray, Sizing the internet, Technical report, Cyveillance, Inc., Arlington, VA 2000.
3. NetCraft Ltd., Web Server Survey Statistics, http://news.netcraft.com/archives/web_server_survey.html, [Last accessed on April 17, 2005].
4. Google Inc., Google Blog Wednesday, November 10, 2004: Google's index nearly doubles, http://www.google.com/googleblog/2004/11/googles-index-nearly-doubles.html, [Last accessed on April 17, 2005].
5. T. Kanungo, C. H. Lee and R. Bradford, What fraction of images on the Web contain Text?, in Proc. First International Workshop on Web Document Analysis (WDA2001), A. Antonacopoulos and J. Hu, Eds., World Scientific Publishing Co. Seattle, WA, USA, 2001.
6. A. W. M. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain, Content-based image retrieval at the end of the early years, IEEE Trans. Pattern Analysis and Machine Intelligence 22, 1349-1380 (2000).
7. G. Frederix, G. Caenen and E. J. Pauwels, PARISS: Panoramic, Adaptive and Reconfigurable Interface for Similarity Search, in Proc. ICIP 2000 International Conference on Image Processing, R. K. Ward, Ed., vol. III, 2000, pp. 222-225.
8. G. Giacinto and F. Roll, Bayesian relevance feedback for content-based image retrieval, Pattern Recognitions 37, 1499-1508 (2004).
9. G. Derefeldt, T. Swartling, U. Berggrund, and P. Bodrogi, Cognitive color, Color Res. Appl. 29, 7-19 (2004).
10. P. Kay, Color, J. Linguistic Anthropol. 1, 29-32 (1999).
11. B. Saunders and J. van Brakel, in Theories, Technologies, Instrumentalities of Color: Anthropological and Historical Perspectives, B. Saunders and J. van Brakel, Eds., University Press of America Inc., Lanham, MD, 2002.
12. D. Forsyth and J. Ponse, Computer Vision: A modern approach, Pearson Education, Inc., Upper Saddle River, NJ, 2002.
13. P. Kay, The World Color Survey, http://www.icsi.berkeley.edu/wcs/, [Last accessed on April 17, 2005].
14. B. Berlin and P. Kay, Basic Color Terms: Their Universals and Evolution, University of California Press, Berkeley, CA, 1969.
15. R. Goldstone, Effects of categorization on color perception, Psychol. Sci. 5, 298-304 (1995).
16. E. R. Heider, Universals in color naming and memory, J. Exp. Psychol. 93, 10-20 (1972).
17. E. L. van den Broek, M. A. Hendriks, M. J. H. Puts, and L. G. Vuurpijl, Modeling human color categorization: Color discrimination and color memory, Proc. 15th Belgian-Netherlands Conference on Artificial Intelligence (BNAIC2003), T. Heskes, P. Lucas, L. Vuurpijl, and W. Wiegerinck, Eds., University of Nijmegen, Nijmegen, NL, 2003, pp. 59-68.
18. M. Stokes, M. Anderson, S. Chandrasekar, and R. Motta, A Standard Default Color Space for the internet - sRGB, Technical report, The World Wide Web Consortium (W3C), http://www.w3.org/Graphics/Color/sRGB.html [Last accessed on April 17, 2005].
19. T. Gevers and A. W. M. Smoulders, Color based object recognition, Pattern Recognition 32, 453-464 (1999).
20. Th.E. Schouten and E. L. van den Broek, Fast Exact Euclidean Distance (FEED) Transformation, J. Kittler, M. Petrou, and M. Nixon, Eds., Proc. 17th International Conference on Pattern Recognition, 2004, vol. 3, p. 594-597. IEEE Computer Society Press, Los Alamitos, CA.
21. E. L. van den Broek, Th.E. Schouten and P. M. F. Kisters, Weighted distance mapping, (2005). Weighted distance mapping (WDM), Proc. IEE International Conference on Visual Information Engineering: Convergence in Graphics and Vision [in press]. IEE Publishing, Stevenage, UK.
22. Munsell Color Science Laboratory, Rochester Institute of Technology, http://www.cis.rit.edu/mcsl/, [Last accessed on April 17, 2005].
23. L. G. Vuurpijl, L. R. B. Schomaker and E. L van den Broek, Vind(x): Using the user through cooperative annotation, Proc. Eighth International Workshop on Frontiers in Handwriting Recognition, S. N. Srihari and M. Cheriet, Eds., IEEE Computer Society Press, Los Alamitos, CA, 2002, pp. 221-226.
24. E. L. van den Broek, P. M. F. Kisters and L. G. Vuurpijl, The utilization of human color categorization for content-based image retrieval, Proc. SPIE, 5292, 351-362 (2004).
25. M. J. Swain and D. H. Ballard, Color indexing, Int'l. J. Computer Vision 7, 11-32 (1991).
26. S. Marchand-Maillet and G. Beretta, The Benchathlon Network, http://www.benchathlon.net/, [Last accessed on April 17, 2005].
27. W. Niblack, R. Barber, W. Equitz, M. Flickner, E. Glasman, D. Petkovic, P. Yanker, and C. Faloutos, The QBIC project: Querying images by content using color, texture, and shape, Proc. SPIE 1908, 173-187 (1993).
28. M. Flickner, H. Sawhney, W. Niblack, J. Ashley, Q. Huang, B. Dom, M. Gorkani, J. Hafner, D. Lee, D. Petkovic, D. Steele and P. Yanker, Query by Image and Video Content: The QBIC System, IEEE Computer 28, 23-32 (1995).
29. F.-D. Jou, K.-C. Fan and Y.-L. Chang, Efficient matching of large-size histograms, Pattern Rec. Lett. 25, 277-286 (2004).