{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/81254"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/81254","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Color, Texture, and Shape Features for Content-Based Image Retrieval","abstract":"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. 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