Name
Abstract | ||
|---|---|---|
In this paper, we propose a compact image signature based on VLAT. Our method integrates spatial information while significantly reducing the size of original VLAT by using two pojection steps. we carry out experiments showing our approach is competitive with state of the art signatures. |
Year | Venue | Keywords |
|---|---|---|
2012 | ICPR | feature extraction,image classification,learning (artificial intelligence),tensors,classifier learning,compact image signature,compacted VLAT,content based image categorization,descriptors aggregation,local image descriptor extraction,projection steps,spatial pyramids,vector-of-locally aggregated tensors |
Field | DocType | ISSN |
Spatial analysis,Categorization,Computer vision,Feature detection (computer vision),Pattern recognition,Computer science,Feature extraction,Artificial intelligence,Contextual image classification | Conference | 1051-4651 |
Citations | PageRank | References |
9 | 0.60 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Romain Negrel | 1 | 33 | 3.42 |
| David Picard | 2 | 304 | 25.12 |
| Philippe Henri Gosselin | 3 | 9 | 0.60 |