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Hue class equalization to improve a hierarchical image retrieval system
- 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.
- Subjects :
- ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
[INFO.INFO-DM]Computer Science [cs]/Discrete Mathematics [cs.DM]
Space search reduction
Image texture
0202 electrical engineering, electronic engineering, information engineering
Computer vision
Color classification
Visual Word
HSL
10. No inequality
Image retrieval
Hue
Pixel
Color image
business.industry
020207 software engineering
Pattern recognition
Global descriptor
Automatic image annotation
Computer Science::Computer Vision and Pattern Recognition
Human visual system model
020201 artificial intelligence & image processing
Artificial intelligence
business
Subjects
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