Scalable Content-Based Classification and Retrieval Framework for Dynamic Commercial Image Databases (original) (raw)

References

1. Kressel, U.: Pairwise classification and support vector machines. Advances in Kernel Methods - Support Vector Learning (1999)
   Google Scholar
2. Chang, C.C., Lin, C.J.: LIBSVM: a library for support vector machines (2001), http://www.csie.ntu.edu.tw/~cjlin/libsvm
3. Zou, T., Yang, W., Dai, D., Sun, H.: Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests. EURASIP Journal on Advances in Signal Processing 2010, Article ID 465612, 9 pages (2010)
   Article Google Scholar
4. Kiranyaz, S., Ince, T., Yildirim, A., Gabbouj, M.: Evolutionary Artificial Neural Networks by Multi-Dimensional Particle Swarm Optimization. Neural Networks 22, 1448–1462 (2009)
   Article Google Scholar
5. MUVIS, http://muvis.cs.tut.fi/
6. Manjunath, B.S., Ohm, J.-R., Vasudevan, V.V., Yamada, A.: Color and Texture Descriptors. IEEE Trans. On Circuits and Systems for Video Technology 11, 703–715 (2001)
   Article Google Scholar
7. Manjunath, B., Wu, P., Newsam, S., Shin, H.: A texture descriptor for browsing and similarity retrieval. Journal of Signal Processing: Image Communication 16, 33–43 (2000)
   Article Google Scholar
8. Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture measures with classification based on feature distributions. Pattern Recognition 29, 51–59 (1996)
   Article Google Scholar
9. Partio, M., Cramariuc, B., Gabbouj, M.: An Ordinal Co-occurrence Matrix Framework for Texture Retrieval. EURASIP Journal on Image and Video Processing 2007, Article ID 17358 (2007)
   Google Scholar
10. Chauvin, Y., Rumelhart, D.E.: Back Propagation: Theory, Architectures, and Applications. Lawrence Erlbaum Associates Publishers, UK (1995)
    Google Scholar
11. Spyrou, E., Le Borgne, H., Mailis, T., Cooke, E., Avrithis, Y., O’Connor, N.E.: Fusing MPEG-7 Visual Descriptors for Image Classification. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds.) ICANN 2005. LNCS, vol. 3697, pp. 847–852. Springer, Heidelberg (2005)
    Google Scholar
12. Chen, H., Gao, Z., Lu, G., Li, S.: A Novel Support Vector Machine Fuzzy Network for Image Classification Using MPEG-7 Visual Descriptors. In: International Conference on MultiMedia and Information Technology, MMIT 2008, December 30-31, pp. 365–368 (2008), doi:10.1109/MMIT.2008.199
    Google Scholar
13. Chang, E., Goh, K., Sychay, G., Gang, W.: CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines. IEEE Transactions on Circuits and Systems for Video Technology 13(1), 26–38 (2003), doi:10.1109/TCSVT.2002.808079
    Article Google Scholar
14. Qi, G.-J., Hua, X.-S., Rui, Y., Tang, J., Zhang, H.-J.: Image Classification With Kernelized Spatial-Context. IEEE Trans. on Multimedia 12(4), 278–287 (2010), doi:10.1109/TMM.2010.2046270
    Article Google Scholar
15. Kiranyaz, S., Gabbouj, M., Pulkkinen, J., Ince, T., Meissner, K.: Network of Evolutionary Binary Classifiers for Classification and Retrieval in Macroinvertebrate Databases. In: Proc. of IEEE Int. Conf. on Image Processing, ICIP 2010, Hong Kong, September 26-29, pp. 2257–2260 (2010)
    Google Scholar
16. Finnish Realstate site, http://www.etuovi.com/

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