Unifying keywords and visual contents in image retrieval

Xiang Sean Zhou, Thomas S. Huang

Research output: Contribution to journalArticlepeer-review


The unification of keywords and feature contents for image retrieval is addressed. A seamless joint querying and relevance feedback scheme based on both keywords and low-level visual contents incorporating keyword similarities is proposed. An algorithm for the learning of the word similarity matrix during user interaction is introduced. This learned similarity matrix can be applied for keyword semantic grouping, thesaurus construction, and soft query expansion during intelligent image retrieval.

Original languageEnglish (US)
Pages (from-to)23-33
Number of pages11
JournalIEEE Multimedia
Issue number2
StatePublished - Apr 2002
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Media Technology
  • Hardware and Architecture
  • Computer Science Applications


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