Michael Ortega
- 1.Jeffrey R. Bach, Charles Fuller, Amarnath Gupta, Arun Hampapur, Bradley Horowitz, Rich Humphrey, Ramesh J a in, and Chiao fe Shu. The virage image search engine: An open framework for image management. In SPIE Storage and Retrieval for Still Image and Video Databases IV.Google Scholar
- 2.3. P. Callan, W. B. Croft, and S. M. Harding. The inquery retrieval system. In In Proceedings of the Third International Conference on Database and Expert S!lS- terns Applications, Valencia, Spain, 1992.Google ScholarCross Ref
- 3.Surajit Chaudhari and Luis Gravano. Optimizing queries over multimedia repositories. Proc. of SIG- MOD, 1996. Google ScholarDigital Library
- 4.Lomet D. The hb-tree: A multiattribute indexing mechanism with good guaranteed performance. A CM Transactions on Database Systems, 15(4), 1990. Google ScholarDigital Library
- 5.Ronald Fagin. Combining fuzzy information from multiple systems. Proc. of the 15th ACM Syrup. on PODS,' 1996. Google ScholarDigital Library
- 6.C. Faloutsos, M. Flocker, W. Niblack, D. Petkovic, W. Equitz, and R. Barber. Efficient and effective querying by image content. Technical Report RJ 9453 (83074), iBM Research Report, Aug. 199,3.Google Scholar
- 7.M. Flickner et al. Query by image and video content: The qbic system, iEEE Computer, September 1995. Google ScholarDigital Library
- 8.Goetz Graefe. Query evaluation techniques for large databases. A CM Computing Surveys, Vol. ~5, No. ~, 1993, 1996. Google ScholarDigital Library
- 9.Amarnath Gupta and Ramesh Jain. Visual information retrieval. Communications of the A CM, 40(5), 1997. Google ScholarDigital Library
- 10.A. Guttman. R-tree: a dynamic index structure for spatial searching. In SIGMOD, pages 47-57, 1984. Google ScholarDigital Library
- 11.Anil K. jain and Aditya Vailaya. Image retrieval using color and shape. Pattern Recognition, 29(8), 1996.Google Scholar
- 12.B.S. Manjunath and W.Y. Ms. Texture features for browsing and retrieval of image data. Technical Report TR-95-06, CIPR, July 1995.Google Scholar
- 13.Sharad Mehrotra, Kaushik Chakrabarti;' Michael Ortega, Yong Rui, and Thomas S. Huang. Towards extending information retrieval techniques for multimedia~ retrieval. In 3rd International Workshop on Multimedia Information Systems, Como, .Italy, 1997.Google Scholar
- 14.T. P. Minks and R. W. Picard. Interactive learning using a "society of models". Technical Report 349, MiT Media Lab, 1996.Google Scholar
- 15.Makoto Miyahara et al. Mathematical transform of (r,g,b) ~olo~ d~ to mu~ll (h,v,~) color d~t~. in SPZE Visual Communications ~ind Image Processing'88, volume 1001, 1988. 650.Google Scholar
- 16.J. Neivergelt et al. The grid file: an adaptable, symmetric multikey file structure. A CM Transactions on Database Systems, March 1984. Google ScholarDigital Library
- 17.Michael Ortega, Sharad Mehrotra, Yong Rui, Kaushik (3hakrabarti, and Thomas S. Huang. Processing similarity queries in mars. Technical Report TR-MARS-97- 12, University of Illinois at Urbana~Champaign, Aug. 1997.Google Scholar
- 18.A. Pentland, R. W. Picard, and S. Sdaroff. Photobook: Tools for content-based manipulation of image databases. In Proc. Storage and Retrieval for Image and Video Databases 1I, volume 2(185), pages 34-47, Bellingham, Wash, 1994. SPIE.Google Scholar
- 19.Yong Rui, Kaushik Chakrabarti, Sharad Mehrotra, Yunxin Zhao, and Thomas S. Huang. Dynamic clustering for efficient retrieval in high dimensional multimedia databases. Technical Report TR-MARS-97-10, University of Illinois at Urbana Champaign, 1997.Google Scholar
- 20.Yong Rui, Thomas S. Huang, Sharad Mehrotra, and Michael Ortega. Automatic matching tool selection via relevance feedback in mars. to appear in the ~nd Int. Conf. on Visual Information Systems, 1997.Google Scholar
- 21.Yong Rut, Thonias S. Huang, Sharad Mehrotra, and Michael Ortega. A relevance feedback architecture in content-based multimedia information retrleval systems. In Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries, IEEE, 1997. ! Google ScholarDigital Library
- 22.Yong Rut, Alfred C. She, and Thomas S. Huang. Modified fourier descriptors for shape representation - a practical approach. In Proceeding of First International Workshop on Image Databases and Multi Media Search, 1996. Amsterdam, The Netherlands.Google Scholar
- 23.G. Salton, Edward Fox, and E. Voorhees. Extended boolean information retrieval. Communications of the A CM, 26(11):1022-1036, November 1983. Google ScholarDigital Library
- 24.G. Salton and M. J. McGill. Introduction to Modern Information Retrieval. McGraw Hill Computer Science Series, 1983. Google ScholarDigital Library
- 25.John R. Smith and Shih-Fu Chang. Tools and tech- Iniques for color image retrieval. In IS 14 T/$PIE pro. ceedings, volume 2670, 1994. Storage & Retrieval for Image and Video Databases IV.Google Scholar
- 26.Hid'eyuki Tamura et al. Texture features corresponding t0 visual perception, iEEE Trans. Systems, Man, and Cybernetics, SMC-8(6), June 1978.Google Scholar
- 27.(3. J. Van Rijsbergen. Information Retrieval. London: Butterworths, 1979. Google ScholarDigital Library
Index Terms
- Supporting similarity queries in MARS
Recommendations
Supporting Ranked Boolean Similarity Queries in MARS
To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the Multimedia Analysis and Retrieval System (MARS) [29]. In this paper, we concentrate on the retrieval subsystem of MARS and ...
Supporting Content-based Queries over Images in MARS
ICMCS '97: Proceedings of the 1997 International Conference on Multimedia Computing and SystemsTo address the emerging needs of applications that require access to and retrieval of multimedia objects, we have started a Multimedia Analysis and Retrieval Systems (MARS) project at the University of Illinois. As a first step towards the project, we ...
Learning similarity with cosine similarity ensemble
This paper proposes a cosine similarity ensemble (CSE) method to learn similarity.CSE is a selective ensemble and combines multiple cosine similarity learners.A learner redefines the pattern vectors and determines its threshold adaptively.Experimental ...
Comments