A relevance feedback architecture for content-based multimedia information retrieval systems

Yong Rui, Thomas S. Huang, Sharad Mehrotra, Michael Ortega

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

Abstract

Content-based multimedia information retrieval (MIR) has become one of the most active research areas in the past few years. Many retrieval approaches based on extracting and representing visual properties of multimedia data have been developed. While these approaches establish the viability of MIR based on visual features, techniques for incorporating human expertise directly during the query process to improve retrieval performance have not drawn enough attention. To address this limitation, this paper introduces a human-computer interaction based approach to MIR in which the user guides the system during retrieval using relevance feedback. Our experiments show that the retrieval performance improves significantly by incorporating humans in the retrieval process.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1997
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages82-89
Number of pages8
ISBN (Electronic)0818679832, 9780818679834
DOIs
StatePublished - 1997
Externally publishedYes
Event1997 IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1997 - San Juan, United States
Duration: Jun 20 1997Jun 20 1997

Publication series

NameProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1997

Other

Other1997 IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 1997
Country/TerritoryUnited States
CitySan Juan
Period6/20/976/20/97

ASJC Scopus subject areas

  • Library and Information Sciences
  • Information Systems
  • Signal Processing

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