Name
Abstract | ||
|---|---|---|
An approach for knowledge assisted semantic analysis and annotation of video content, based on an ontology infrastructure is pre- sented. Semantic concepts in the context of the examined domain are defined in an ontology, enriched with qualitative attributes of the se- mantic objects (e.g. color homogeneity), multimedia processing methods (color clustering, respectively), and numerical data or low-level features generated via training (e.g. color models, also defined in the ontology). Semantic Web technologies are used for knowledge representation in RDF/RDFS language. Rules in F-logic are defined to describe how tools for multimedia analysis should be applied according to different object attributes and low-level features, aiming at the detection of video objects corresponding to the semantic concepts defined in the ontology. This sup- ports flexible and managed execution of various application and domain independent multimedia analysis tasks. This ontology-based approach provides the means of generating semantic metadata and as a conse- quence Semantic Web services and applications have a greater chance of discovering and exploiting the information and knowledge in multimedia data. The proposed approach is demonstrated in the Formula One and Football domains and shows promising results. |
Year | Venue | Keywords |
|---|---|---|
2004 | SemAnnot@ISWC | knowledge representation,color model |
Field | DocType | Citations |
Semantic technology,Semantic Web Stack,Information retrieval,Semantic search,Computer science,Semantic analytics,OWL-S,Semantic grid,Social Semantic Web,Semantic computing | Conference | 15 |
PageRank | References | Authors |
1.07 | 12 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Dasiopoulou | 1 | 277 | 18.37 |
| V. K. Papastathis | 2 | 83 | 4.08 |
| V. Mezaris | 3 | 293 | 16.26 |
| I. Kompatsiaris | 4 | 282 | 15.61 |
| michael g strintzis | 5 | 1095 | 79.71 |