Supporting ranked Boolean similarity queries in MARS

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

Research output: Contribution to journalArticlepeer-review


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) [29]. 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 [40], [4]. 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)
Pages (from-to)905-925
Number of pages21
JournalIEEE Transactions on Knowledge and Data Engineering
Issue number6
StatePublished - 1998
Externally publishedYes


  • Boolean queries
  • Database management
  • Incremental query processing
  • Multimedia retrieval
  • Ranked retrieval

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics


Dive into the research topics of 'Supporting ranked Boolean similarity queries in MARS'. Together they form a unique fingerprint.

Cite this