Image Categorization using Color Blobs in a Mobile Environment

Computer Graphics Forum

Volumn 22, Issue 3, 2003, Pages 427-432

  Gavilan Ruiz, David ^a   Takahashi, Hiroki ^a   Nakajima, Masayuki ^a  

^a TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); COLOR IMAGE PROCESSING; GEOGRAPHIC INFORMATION SYSTEMS; GRAPHICAL USER INTERFACES; HUMAN COMPUTER INTERACTION; MOBILE TELECOMMUNICATION SYSTEMS; OPTICAL RESOLVING POWER;

MOBILE PHONES;

IMAGE SEGMENTATION;

EID: 0141615931     PISSN: 01677055     EISSN: None     Source Type: Journal    
DOI: 10.1111/1467-8659.00690     Document Type: Conference Paper

References (26)

1. Chad Carson, Megan Thomas, Serge Belongie, Joseph M. Hellerstein, and Jitendra Malik. Blobworld: A system for region-based image indexing and retrieval. In Third International Conference on Visual Information Systems. Springer, 1999.
2. D. Comaniciu and P. Meer. Robust analysis of feature spaces: Color image segmentation. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pages 750-755, 1997.
3. M. Flickner, H. Sawhney, W. Niblack, and J. Ashley. Query by image and video content: The qbic system. IEEE Computer, 28(9):23-32, September 1995.
4. Robert M. Haralick and Linda G. Shapiro. Computer and Robot Vision, pages 28-48. Addison-Wesley, 1992.
5. Nicholas Howe, Percentile blobs for image similarity, 1998.
6. Anya C. Hurlbert. The Computation of Color. PhD thesis, Massachusetts Institute of Technology, September 1989. Also MIT Artificial Intelligence Lab Technical Report No. 1154.
7. Anya C. Hurlbert. The Computation of Color. PhD thesis, Massachusetts Institute of Technology, September 1989. Also MIT Artificial Intelligence Lab Technical Report No. 1154.
8. E. H. Land and J. J. McCann. Lightness and the retinex theory. Journal of the Optical Society of America, 61(1):1-11, 1971.
9. T. Lindeberg. Scale-Space Theory in Computer Vision. The Kluwer International Series in Engineering and Computer Science. Kluwer Academic Publishers, Dordrecht, Netherlands, 1994.
10. Tony Lindeberg. Principles for automatic scale selection. Technical report, Computational Vision and Active Perception Laboratory (CVAP), KTH (Royal Institute of Technology), Stockholm, Sweden, 1998.
11. Merenyi and T. Villmann. Self-organizing neural net approaches for hyperspectral images. In International Conference on Intelligent Computing and Information Systems, Cairo, Egypt, June 2002.
12. Krystian Mikolajczyk and Cordelia Schmid. Indexing based on scale invariant interest points. In International Conference on Computer Vision, pages 525-531, 2001.
13. J. Minguillon and J. Serra-Sagrista. Improving classification accuracy of aviris data by means of classifier combination. In 9th International Symposium on Remote Sensing, volume 4885, pages 367-378, Crete, Greece, September 2002. Society of Photo-optical Instrumentation Engineers (SPIE).
14. K. Okajima, A.R. Robertson, and G.H. Fielder. A quantitative network model for color categorization. Color Research & Application, 27(4):225-232, August 2002.
15. J. D. Paola and Schowengerdt. A review and analysis of backpropagation neural networks for classification of remotely sensed multispectral imagery. International Journal of Remote Sensing, 16(16):3033-3058, November 10 1995.
16. J. Ponce, A. Zisserman, and M. Hebert. Object Representation in Computer Vision, volume II of LNCS. Springer, 1996.
17. W. Skarbek and A. Koschan. Colour image segmentation - a survery -. Technical Report Technical Report 94-32, Technical University Berlin, 1994.
18. Markus Stricker and Michael Swain. The capacity and the sensitivity of color histogram indexing. Technical Report TR-94-05, University of Chicago, 24, 1994.
19. H. Takahashi, K. Kasai, D. Kim, and M. Nakajima. Extraction of text regions from scenery images using multiple features. In Proc. of IWAIT(International Workshop on Advanced Image Technology), pages 97-102, February 2001.
20. H. Takahashi and M. Nakajima. Graph-based color image segmentation using edge magnitude for image understanding. In Proc. of IWAIT(International Workshop on Advanced Image Technology), pages 93-96, February 2001.
21. H. Takahashi and M. Nakajima. Color image segmentation using region growing based on neighbouring region features. In Proc. of IWAIT (International Workshop on Advanced Image Technology), pages 97-102, January 2002.
22. Antonio Torralba and Pawan Sinha. Statistical context priming for object detection. In Proceedings of the International Conference on Computer Vision (ICCV01), pages 763-770, 2001.
23. Bryan E. Usevitch. A tutorial on modern lossy wavelet image compression: Foundations of JPEG 2000. IEEE Signal Processing Magazine, September 2001.
24. J. von Kries. Beitrag zur physiologie der gesicht-sempfindung. In Arch. Anat. Physiol., volume 2, pages 505-524, 1878.
25. Y.C. Wang and A. Abdesselam. Spatial distribution of color clusters for image retrieval. In Tencon Proceedings, pages 290-294. IEEE, 2000.
26. G. West and M.H. Brill. Necessary and sufficient conditions for von kries chromatic adaptation to give colour constancy. Journal of Mathematical Biology, 15:249-258, 1982. QH.J8413 in MIT Science Library.