Name
Abstract | ||
|---|---|---|
We describe our experiments for the Image CLEF medical retrieval task. Our eorts were focused on the initial visual search. A content based approach was followed using global features that would perform well with the medical image collection. We used structure, texture, localisation and colour features that have been proven by previous experiments. The retrieval results showed that this simple approach was successful. |
Year | Venue | Keywords |
|---|---|---|
2004 | Cross-Language Evaluation Forum | visual search |
Field | DocType | Citations |
Visual search,Automatic image annotation,Information retrieval,Computer science,Image retrieval,Clef,Visual Word | Conference | 4 |
PageRank | References | Authors |
1.05 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Howarth | 1 | 40 | 3.77 |
| Alexei Yavlinsky | 2 | 165 | 16.15 |
| Daniel Heesch | 3 | 144 | 14.87 |
| Stefan M. Rüger | 4 | 499 | 51.53 |