Content-based image collection summarization and comparison using self-organizing maps

Pattern Recognition

Volumn 40, Issue 2, 2007, Pages 718-727

  Deng, Da ^a  

^a UNIVERSITY OF OTAGO   (New Zealand)

Author keywords

Content based image retrieval; Dissimilarity; Self organizing maps

Indexed keywords

COMPUTATIONAL METHODS; CONFORMAL MAPPING; DATA ACQUISITION; IMAGE ANALYSIS; PATTERN RECOGNITION; SELF ORGANIZING MAPS;

CLUSTERING ANALYSIS; FEATURE MAPS;

CONTENT BASED RETRIEVAL;

EID: 33750372574     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2006.05.022     Document Type: Article

References (24)

1. Carson C., Thomas M., Belongie S., et al. Blobworld: a system for region-based image indexing and retrieval. Proceedings of the International Conference on Visual Information Systems (1999) 509-516
2. Smith J., and Chang S. Visualseek: a fully automated content-based image query system. Proceedings of ACM Multimedia vol. 96 (1996) 87-98
3. Smeulders A., Worring M., Santini S., Gupta A., and R. J. Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Anal. Mach. Intell. 22 12 (2000) 1349-1380
4. B. Manjunath, J. Ohm, V. Vinod, A. Yamada, Color and texture descriptors, IEEE Transactions on Circuits and Systems for Video Technology (Special Issue on MPEG-7).
5. M. Bober, Mpeg-7 visual shape descriptors, IEEE Trans. Circuits Syst. Video Technol. 11.
6. Brunelli R., and Mich O. Histograms analysis for image retrieval. Pattern Recognition 34 (2001) 1625-1637
7. Rubner Y., Tomasi C., and Guibas L. A metric for distributions with applications to image databases. Proceedings of IEEE ICCV (1998) 59-66
8. Mathiassen J.R., Skavhaug A., and Bø K. Texture similarity measure using Kullback-Leibler divergence between gamma distributions. ECCV '02: Proceedings of the Seventh European Conference on Computer Vision-Part III. Springer, London, UK (2002) 133-147
9. Kohonen T. Self-organizing Maps. second ed. (1997), Springer, Berlin
10. Rauber A., and Merkl D. The somlib digital library system. Proceedings of European Conference on Digital Libraries (1999) 323-342
11. Laaksonen J., Koskela M., and Oja E. Content-based image retrieval using self-organizing maps. Visual Information and Information Systems (1999) 541-548
12. Haykin S. Neural Networks: A Comprehensive Foundation. second ed. (1999), Prentice-Hall, Englewood Cliffs, NJ
13. Ritter H. Asymptotic level density for a class of vector quantization processes. IEEE Trans. Neural Networks 2 (1991) 173-175
14. Yin H., and Allison N. Self-organizing mixture networks for probability density estimation. IEEE Trans. Neural Networks 12 2 (2001) 405-411
15. Sammon W. A nonlinear mapping for data analysis. IEEE Trans. Comput. 5 (1969) 401-409
16. Kaski S., and Lagus K. Comparing self-organizing maps. In: Vorbruggen J., and Sendhoff B. (Eds). Proceedings of ICANN96 International Conference on Artificial Neural Networks, Lecture Notes in Computer Science vol. 1112 (1996), Springer, Berlin 809-814
17. Honkela T. Comparisons of self-organized word category maps. Proceedings of WSOM97, Workshop on Self-Organizing Maps, Helsinki University of Technology, Neural Networks Research Centre, Espoo, Finland (1997) 298-303
18. Fritzke B. A growing neural gas network learns topologies. Proceedings of NIPS (1994) 625-632
19. Eiter T., and Mannila H. Distance measures for point sets and their computation. Acta Informica 34 (1997) 109-133
20. Manjunath B.S., and Ma W. Texture features for browsing and retrieval of image data. IEEE Trans. Pattern Anal. Mach. Intell. (PAMI-Special issue on Digital Libraries) 18 8 (1996) 837-842. http://vision.ece.ucsb.edu/publications/96PAMITrans.pdf URL: 〈http://vision.ece.ucsb.edu/publications/96PAMITrans.pdf〉
21. T. Kohonen, J. Hynninen, J. Kangas, J. Laaksonen, Som_pak: The self-organizing map program package, 1996.
22. Puzicha J., Rubner Y., Tomasi C., and Buhmann J. Empirical evaluation of dissimilarity measures for color and texture. Proceedings of the IEEE International Conference on Computer Vision (ICCV-1999) (1999) 1165-1173
23. Deng D., and Kasabov N. On-line pattern analysis by evolving self-organizing maps. Neurocomputing 51 (2003) 87-103
24. Tino P., and Nabney I. Hierarchical GTM: constructing localized nonlinear projection manifolds in a principled way. IEEE Trans. Pattern Anal. Mach. Intell. 24 5 (2002) 639-656