Statistical structuring of pictorial databases for content-based image retrieval systems

Thierry Pun, David Squire

Research output: Contribution to journalArticleResearchpeer-review

14 Citations (Scopus)


This letter presents a two-stage statistical approach for "exploring and explaining" a pictorial database, for content-based image retrieval systems. First, we describe how correspondence analysis provides image classes, as well as facilitates the understanding of the role of image primitives and attributes used to index pictures. Such understanding allows an intelligent choice of features, and thus computational savings, to be made. Second, ascendent hierarchical classification permits the structuring of the database, in order to ease picture indexing and retrieval.

Original languageEnglish
Pages (from-to)1299-1310
Number of pages12
JournalPattern Recognition Letters
Issue number12
Publication statusPublished - 25 Oct 1996
Externally publishedYes


  • Ascendant hierarchical classification
  • Content-based image retrieval systems
  • Correspondence analysis
  • Exploratory statistics
  • Image databases

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