|
1. QBIC, the IBM QBIC project, Demo: http://wwwqbic.almaden.ibm.com/. 2. 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, Vol. 28, No. 9, pp. 23-32, 1995. 3. Virage, the project of Virage Inc., Demo: http://virage.com/. 4. J. R. Bach, C. Fuller, A. Gupta, A. Hampapur, B. Horowitz, R. Humphrey, R. Jain, and C. F. Shu, “The Virage image search engine: An open framework for image management,” in Proc. SPIE Storage and Retrieval for Still Image and Video Databases IV, pp. 76-87, San Jose, CA, USA, February 1996. 5. MARs, the Multimedia analysis and retrieval system developed at University of Illinois at Urbana-Champaign. Demo: http://jadzia.ifp.uiuc.edu:8000/. 6. S. Mehrotra, Y. Rui, O. B. Michael, and T. S. Huang, “Supporting content-based queries over images in MARS,” in Proc. IEEE Int. Conf. Multimedia Computing and Systems, pp. 632-633, 1997. 7. Y. Rui, T. S. Huang, M. Ortega, and S. Mehrotra, “Relevance feedback: A power tool in interactive content-based image retrieval,” IEEE Tran. Circuits Systems Vedio Technol (Special Issue on Interactive Multimedia Systems for the internet), Vol. 8, No. 5, pp. 644-655, Sept. 1998. 8. X. S. Zhou, T. S. Huang, “ Image retrieval: feature primitives, feature representation, and relevance feedback,” in Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, in Conjunction with CVPR''00, pp. 10-14, 2000. 9. WebSEEk, the World Wide Web oriented text/image search engine, Demo: http://www.ee.columbia.edu/~sfchang/demos.html/. 10. R. Smith and S. F. Chang, “Visually searching the web for content,” IEEE Trans. Multimedia, Vol. 4, No. 3, pp. 12-20, 1997. 11. C. Carson, S. Belongie, H. Greenspan, and J. Malik, “Region-based image querying,” in Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, in Conjunction with CVPR''97, pp. 762-768, 1997. 12. Hu, “Visual pattern recognition by moment invariants,” IRE Trans. on Inform. Theory, Vol. IT-8, pp. 179-187, 1962. 13. J. K. Wu, C. P. Lam, B. M. Mehtre, Y. J. Gao, and A. D. NarasiMhalu, “Content-based retrieval for trademark registration,” Multimedia Tools and Applications Vol. 3, pp. 245-267, 1996. 14. S. Zhang and K. K. Ma, “A novel shape matching method using biological sequence Dynamic alignment,” in Proceedings of IEEE International Conference on Multimedia and Expo, 2000. 15. W. Y. Kim and Y. S. Kim, “A region-based shape descriptor using Zernike moments, “ Signal Processing: Image Communication Vol. 16, pp. 95-102, 2000. 16. H. K. Kim and J. D. Kim, “Region-based shape descriptor invariant to rotation, scale and translation,”in Signal Processing: Image Communication Vol. 16, pp. 87-93, 2000. 17. M. Swain and D. Ballard, “Color indexing,” International Journal of Computer Vision, Vol. 7, No. 1, pp. 11-32, 1991. 18. M. Stricker and M. Orengo, “Similarity of Color Images,” in Proc. SPIE Storage and Retrieval for Still Image and Video Databases III, pp. 381-392, San Jose, CA, USA, February 1995. 19. J. Huang, S. K. Kumar, M. Mitra, W. Zhu and R. Zabih, “Image indexing using color correlograms, ” in Proc. CVPR Int. Conf., pp. 762-768, 1997. 20. X. S. Zhou and T. S. Huang, “ Image retrieval: feature Primitives, feature representation, and relevance feedback,” in Proc. IEEE Workshop on Content-Based Access of Image and Video Libraries, in Conjunction with CVPR''00, pp. 10-14, 2000. 21. Laine and J. Fan, ” Texture classification by wavelet packet signatures,” IEEE Tran. Pattern Anal. Machine Intell., Vol. 15, No. 11, pp. 1186-1191, 1993. 22. M. Mehtre, M. S. Kankanhalli, and W. F. Lee, “Content-based image retrieval using a composite color-shape approach,” Information Processing and management, Vol. 34 No. 1, pp. 109-120, 1998. 23. M. S. Kankanhalli, B. M. Mehtre, and J. K. Wu, “Cluster-based color matching for image retrieval,” Pattern Recognition, Vol. 29, No. 4, pp. 701-708, 1996. 24. K. Jain, A. Vailaya, “Image retrieval using color and shape,” Pattern Recognition, Vol. 29, pp. 1233-1244, 1996. 25. Vailaya, A. K. ZhongYuJam, “A hierarchical system for efficient image retrieval,” in Proceedings of IEEE International Conference on Pattern Recognition, 1996. 26. G. Cortelazzo, G. A. Mian, G. Vezzi, P. Zamperoni, “Trademark shapes description by stringmatching techniques,” Pattern Recognition, Vol. 27, No.8, pp. 1005-1018, 1994. 27. Bimbo, P. Pala, “Image Indexing using shape-based visual features,” in Proceedings of IEEE International Conference on Pattern Recognition, 1996. 28. R. C. Gonzalez and Richard E. Woods, Digital Image Processing, 1992. 29. O. Maron and A. L. Ratan, “Multiple-instance learning for natural scene classification,” in Proc. Machine Learning Int. Conf., 1998. 30. J. L. Shih and P. C. Chung, “2-D Invariant pattern recognition using a backpropagation network improved by distributed associative memory,” in Proceedings of Visual Communications and Image Processing, pp. 140-147, 1995. 31. N. Akrout, R. Prost, and R. Goutte, “Image compression by vector quantization: a review focused on codebook generation,” Image and Vision Computing, Vol. 12, No. 10, pp. 627-637, 1994. 32. Y. Deng and B. S. Manjunath, “ An efficient low-dimensional color indexing scheme for region-based image reitrieval,”, in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, Vol. 6, pp. 3017-3020, 1999. 33. M. Stricker and A. Dimai, “Color indexing with weak spatial constrains,” in Proc. SPIE Storage and Retrieval for Still Image and Video Databases IV, Vol. 2670 pp. 29-40, 1996. 34. S. Manjunath, Jens-Rainer Ohm, Vinod V. Vasudevan and Akio Yamada, “Color and texture descriptors,” IEEE Tran. Circuits Systems Vedio Technol (Special Issue on MPEG-7), Vol. 11, No. 6, pp. 703-715, June 2001. 35. MPEG-7 Information Technology-Multimedia Content Descriptor Interface-Part3: Visual. Final Committee Draft, ISO/IEC/JTC1/SC29/WG11/N4062, Mar. 2001. 36. MPEG-7 Visual Part of Experimentation Model Version 9.0, Akio Yamada, Mark Pickering, Sylvie Jeannin, Leszek Cieplinski, Jens Rainer Ohm and Munchurl Kim, Eds., ISO/IEC/JTC1/SC29/WG11/N3914, Jan. 2001. 37. Y. Deng, B. S. Manjunath, C. Kenney, M. S. Moore, H. Shin, “An efficient color representation for image retrieval,” IEEE Tran. Image Processing, Vol. 10, No. 1, pp. 140-147, Jan. 2001. 38. S. Manjunath, Jens-Rainer Ohm, Vinod V. Vasudevan and Akio Yamada, “MPEG-7 visual shape descriptors,” IEEE Tran. Circuits Systems Vedio Technol (Special Issue on MPEG-7), Vol. 11, No. 6, pp. 716-719, June 2001. 39. Google, Demo: http://www.google.com/
|