Queries by visual content using fuzzy similarity measures on regional descriptions - Archive ouverte HAL
Communication Dans Un Congrès Année : 2004

Queries by visual content using fuzzy similarity measures on regional descriptions

Résumé

This paper introduces a new CBIR system based on segmented images and fuzzy similarity measures. It gives the possibility to the user to specify a set of regions, and to retrieve images containing these regions in an approximate spatial configuration. It also supports competitive queries, and allows the expert-user to manipulate the parameters of the functions involved. In this manuscript we focus in the architectural aspects of the system.
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Dates et versions

hal-01520606 , version 1 (10-05-2017)

Identifiants

  • HAL Id : hal-01520606 , version 1

Citer

Jean-François Omhover, Marcin Detyniecki. Queries by visual content using fuzzy similarity measures on regional descriptions. European Symposium on Intelligent Technologies, Hybrid Systems and their implementation on Smart Adaptive Systems - EUNITE'2004, Jun 2004, Jena, Germany. pp.43-44. ⟨hal-01520606⟩
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