Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Keywords |
|---|---|---|
2015 | 5TH INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, THEORY, TOOLS AND APPLICATIONS 2015 | Image retrieval, HSL, Global descriptor, Color classification, space search reduction |
Field | DocType | ISSN |
Computer vision,Automatic image annotation,Pattern recognition,Image texture,Computer science,Human visual system model,Image retrieval,Hue,Artificial intelligence,Pixel,Visual Word,Color image | Conference | 2154-512X |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tristan D'Anzi | 1 | 0 | 0.34 |
| William Puech | 2 | 535 | 76.74 |
| Christophe Fiorio | 3 | 197 | 23.27 |
| Jérémie Francois | 4 | 0 | 0.34 |