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Supporting ranked Boolean similarity queries in MARS
1998 / IEEE
This item was taken from the IEEE Periodical ' Supporting ranked Boolean similarity queries in MARS ' 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 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. 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.
Incremental Query Processing
Ranked Boolean Similarity Queries
Multimedia Analysis And Retrieval System
Mars Retrieval Subsystem
Content-based Retrieval Techniques
Boolean Retrieval Model
Content Based Retrieval
Computing And Processing
Multimedia Object Retrieval