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<p><b>Abstract</b>—To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing the <it>Multimedia Analysis and Retrieval System</it> (MARS) [<ref rid="bibk090529" type="bib">29</ref>]. In this paper, we concentrate on the retrieval subsystem of MARS and its support for content-based queries over image databases. Content-based retrieval techniques have been extensively studied for textual documents in the area of automatic information retrieval [<ref rid="bibk090540" type="bib">40</ref>], [<ref rid="bibk09054" type="bib">4</ref>]. This paper describes how these techniques can be adapted for ranked retrieval over image databases. Specifically, we discuss the ranking and retrieval algorithms developed in MARS based on the Boolean retrieval model and describe the results of our experiments that demonstrate the effectiveness of the developed model for image retrieval.</p>
Database management, multimedia retrieval, Boolean queries, incremental query processing, ranked retrieval.
Yong Rui, Michael Ortega, Kaushik Chakrabarti, Thomas S. Huang, Sharad Mehrotra, Kriengkrai Porkaew, "Supporting Ranked Boolean Similarity Queries in MARS", IEEE Transactions on Knowledge & Data Engineering, vol. 10, no. , pp. 905-925, November/December 1998, doi:10.1109/69.738357
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