Name
Abstract | ||
|---|---|---|
Advanced semantic description of multimedia data signifl- cantly improves representing, labeling, and retrieving multimedia-based contents. In this paper we present an intelligent framework for attach- ing semantic annotations to image contents based on the extraction of elementary low-level features, user's relevance feedback and the usage of ontology knowledge. This approach facilitates image annotation by proposing a set of most likely relevant content descriptors as a result of extracted image features and the prior annotation of similar images. We illustrate how the speciflc components of our architecture interact in order to provide a ∞exible annotation schema and a learning-based annotation mechanism. |
Year | Venue | DocType |
|---|---|---|
2005 | SemAnnot@ISWC | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johanna Vompras | 1 | 7 | 3.24 |
| Stefan Conrad | 2 | 0 | 2.03 |