Name
Abstract | ||
|---|---|---|
Abstract—In this poster, we present an approach to contex- tualized semantic,image,annotation,as an optimization,problem. Ontologies are used to capture general and contextual knowledge of the domain considered, and a genetic algorithm is applied to realize the final annotation. Experiments,with images,from the beach,vacation domain,demonstrate,the performance,of the proposed,approach,and,illustrate the added,value of utilizing contextual information. Index Terms—knowledge-assisted image analysis, ontologies, |
Year | Venue | Keywords |
|---|---|---|
2006 | SAMT (Posters and Demos) | indexing terms,optimization problem,image annotation,genetic algorithm,image analysis |
Field | DocType | Citations |
Ontology (information science),Automatic image annotation,Annotation,Information retrieval,Computer science,Image retrieval,Added value,Contextual image classification,Optimization problem,Genetic algorithm | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Dasiopoulou | 1 | 277 | 18.37 |
| Georgios Th. Papadopoulos | 2 | 107 | 13.01 |
| Phivos Mylonas | 3 | 252 | 44.52 |
| Yannis S. Avrithis | 4 | 1240 | 76.86 |
| Yiannis Kompatsiaris | 5 | 947 | 86.09 |