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) in our group at the University of Illinois 26]. 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 36, 3]. This paper describes how these techniques can be adapted for ranked retrieval over image databases. Speci cally, 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 e ectiveness of the developed model for image retrieval.
Ortega et al. REF support ranked retrieval over image databases as part of their MARS system.
Supporting Ranked Boolean Similarity Queries in MARS
IEEE Trans. Knowl. Data Eng.
Computer Science