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Hue class equalization to improve a hierarchical image retrieval system

Authors :
Jeremie Francois
Tristan D'Anzi
Christophe Fiorio
William Puech
Image & Interaction (ICAR)
Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier (LIRMM)
Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)
Source :
IPTA, 5th International Conference on Image Processing Theory, Tools and Applications, IPTA: Image Processing Theory, Tools and Applications, IPTA: Image Processing Theory, Tools and Applications, Nov 2015, Orléans, France. pp.561-566, ⟨10.1109/IPTA.2015.7367210⟩
Publication Year :
2015
Publisher :
IEEE, 2015.

Abstract

International audience; This paper proposes a filtering system within a large database in order to accelerate image retrieval. A first filter is applied to the database in order to have a small number of candidates. This filter consists of a global descriptor based on color classification. Instead of the use of static classification based on the HVS (Human Visual System), the classification is based on a uniform repartition of pixels from the database. Those classes are gathered from a learning database. With this classification a global descriptor is computed based on hue, saturation and lightness. An equiprobability of each pixel is assigned to each class, this allows us to have a more constant reduction for the requested image and to have better filtering of the candidates. A more powerful and time consuming method can be used then for identifying the best candidate.

Details

Database :
OpenAIRE
Journal :
2015 International Conference on Image Processing Theory, Tools and Applications (IPTA)
Accession number :
edsair.doi.dedup.....bfad729ce3f0a877b6ecb172a403722a
Full Text :
https://doi.org/10.1109/ipta.2015.7367210