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Huang, Thomas S. She, Alfred Chia-Hwa 2015-09-25T20:10:16Z 2015-09-25T20:10:16Z 10000-01-01 1998 1998 The main contributions of our work are towards the development of a prototype content-based retrieval system, the Multimedia Analysis and Retrieval System (MARS), a joint effort by several research groups under the Digital Library Initiative. In MARS, we have developed and implemented a shape-matching method that is very fast computationally and invariant to rotation, translation, scale, and spatial quantization. We propose several generalizations of monochrome texture methods to work with color images and discuss their use in segmentation. We also perform a database retrieval accuracy test to quantitatively compare the performance of several texture methods. Based on the test results, we make observations on how color information can improve classification. Made available in DSpace on 2015-09-25T20:10:16Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 9904584.pdf: 3954024 bytes, checksum: 25b8d821a769abf48110c83c1cca623a (MD5) Previous issue date: 1998 Embargo set by: Seth Robbins for item 82535 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 108 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 1998. http://hdl.handle.net/2142/81254 (MiAaPQ)AAI9904584 eng Engineering, Electronics and Electrical Color, Texture, and Shape Features for Content-Based Image Retrieval text Electrical Engineering Electrical Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.