Skip to main content

Advertisement

Log in

Relevance feedback in image retrieval: A comprehensive review

  • special issue on content-based image retrieval
  • Published:
Multimedia Systems Aims and scope Submit manuscript

Abstract.

We analyze the nature of the relevance feedback problem in a continuous representation space in the context of content-based image retrieval. Emphasis is put on exploring the uniqueness of the problem and comparing the assumptions, implementations, and merits of various solutions in the literature. An attempt is made to compile a list of critical issues to consider when designing a relevance feedback algorithm. With a comprehensive review as the main portion, this paper also offers some novel solutions and perspectives throughout the discussion.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

Author information

Authors and Affiliations

Authors

Additional information

RID="*"

ID="*" Work was done while at the University of Illinois.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Zhou, X., Huang, T. Relevance feedback in image retrieval: A comprehensive review. Multimedia Systems 8, 536–544 (2003). https://doi.org/10.1007/s00530-002-0070-3

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00530-002-0070-3

Navigation