Name
Abstract | ||
|---|---|---|
This paper describes an approach made to the development of a textual image retrieval system, by the university of Alicante using IR-n, a Information Retrieval (IR) text- based system. With only a minimal quantity of adaptations to the features of this task, our system has obtained precision results over the mean average of participants at ImageCLEF07: for English (0.1604 vs 0.1388) and for Spanish (0.1482 vs 0.1450). For German, our results were under the mean (0.0991 vs 0.1331), it could be due to our system does not incorporate a splitter for the treatment of this agglutinative language. We obtain these results, without incorporate specific adaptations of the dominion of the recovery of images. This leads us to believe that we start from a good base point from which to work to obtain better results. |
Year | Venue | Keywords |
|---|---|---|
2007 | CLEF (Working Notes) | questions beyond factoids,question answering |
Field | DocType | Citations |
Information retrieval,Computer science,Agglutinative language,Image retrieval,German,Visual Word | Conference | 5 |
PageRank | References | Authors |
0.86 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Navarro | 1 | 43 | 5.97 |
| Fernando Llopis | 2 | 29 | 4.24 |
| Rafael Munoz Guillena | 3 | 5 | 1.20 |
| Elisa Noguera | 4 | 47 | 10.35 |