Supporting similarity queries in MARS

Michael Ortega, Yong Rui, Kaushik Chakrabarti, Sharad Mehrotra, Thomas S Huang

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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 [13]. 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 [24, 2]. 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.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM International Multimedia Conference & Exhibition
Number of pages11
StatePublished - 1997
EventProceedings of the 1997 5th ACM International Multimedia Conference - Seattle, WA, USA
Duration: Nov 9 1997Nov 13 1997


OtherProceedings of the 1997 5th ACM International Multimedia Conference
CitySeattle, WA, USA

ASJC Scopus subject areas

  • General Engineering


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