The terminological image retrieval model

Carlo Meghini, Fabrizio Sebastiani, Umberto Straccia

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

13 Citations (Scopus)

Abstract

We present a model for image retrieval in which images are represented both at the form level, as sets of physical features of the representing objects, and at the content level, as sets of logical assertions about the represented entities as well as about facts of the subject matter that are deemed as relevant for retrieval. A uniform and powerful query language allows queries to be issued that transparently combine features pertaining to form and content. Queries are expressions of a fuzzy logical language. While that part of the query that pertains to (medium-independent) content is "directly" processed by an inferential engine, that part that pertains to (medium-dependent) form is entrusted to specialised signal processing procedures linked to the logical language by a procedural attachment mechanism.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages156-163
Number of pages8
Volume1311
ISBN (Print)3540635084, 9783540635086
DOIs
Publication statusPublished - 1997
Externally publishedYes
Event9th International Conference on Image Analysis and Processing, ICIAP 1997 - Florence, Italy
Duration: 17 Sep 199719 Sep 1997

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1311
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other9th International Conference on Image Analysis and Processing, ICIAP 1997
CountryItaly
CityFlorence
Period17/9/9719/9/97

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ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Meghini, C., Sebastiani, F., & Straccia, U. (1997). The terminological image retrieval model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1311, pp. 156-163). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1311). Springer Verlag. https://doi.org/10.1007/3-540-63508-4_118