| SIMPLIcity: a region-based retrieval system for picture libraries and biomedical image databases |
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International Multimedia Conference
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Proceedings of the eighth ACM international conference on Multimedia
table of contents
Marina del Rey, California, United States
Pages: 483 - 484
Year of Publication: 2000
ISBN:1-58113-198-4
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Author
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James Z. Wang
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Computer Science and Biomedical Informatics, Stanford University, Stanford, CA
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Downloads (6 Weeks): 1, Downloads (12 Months): 14, Citation Count: 3
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ABSTRACT
In this demonstration, we present SIMPLIcity, an image retrieval system for picture libraries and biomedical image databases. The system uses a wavelet-based approach for feature extraction, real-time region segmentation, the Integration Region Matching (IRM) metric, and image classification methods. Tested on large-scale picture libraries and a database of pathology images, the system has demonstrated accurate and fast retrieval. It also exceptionally robust to image alterations.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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J. Li, J. Z. Wang, G. Wiederhold, "Classification of textured and non-textured images using region segmentation," Proc. of the Seventh International Conference on lma9e Processing, Vancouver, BC, Canada, September, 2000.
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J. Z. Wang, G. Wiederhold, O. Firsehein, X.-W. Sha, "Content-based Image Indexing and Searching Using Daubechies' Wavelets," Int'l J. of Digital Libraries (IJODL), 1(4):311-328, Springer-Verlag, 1998.
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J. Z. Wang, J. Li, G. Wiederhold, O. Firschein, "System for Screening Objectionable Images," Computer Communications Journal, 21(15):1355 -1360, Elsevier Science, 1998.
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