Exploring the nature and variants of relevance feedback

X. S. Zhou, T. S. Huang

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

Abstract

We analyze the nature of the relevance feedback problem in a continuous representation space in the context of multimedia information 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 state-of-the-art review as the main portion, the paper also offers some novel solutions and perspectives throughout the discussion.

Original languageEnglish (US)
Title of host publicationProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages94-101
Number of pages8
ISBN (Electronic)0769513549, 9780769513546
DOIs
StatePublished - 2001
EventIEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2001 - Kauai, United States
Duration: Dec 14 2001 → …

Publication series

NameProceedings - IEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2001

Other

OtherIEEE Workshop on Content-Based Access of Image and Video Libraries, CBAIVL 2001
Country/TerritoryUnited States
CityKauai
Period12/14/01 → …

ASJC Scopus subject areas

  • General Computer Science

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