Queries by visual content using fuzzy similarity measures on regional descriptions

Abstract : 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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Conference papers
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https://hal.archives-ouvertes.fr/hal-01520606
Contributor : Lip6 Publications <>
Submitted on : Wednesday, May 10, 2017 - 4:21:07 PM
Last modification on : Thursday, March 21, 2019 - 2:32:32 PM

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  • HAL Id : hal-01520606, version 1

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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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