Abstract | ||
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In this paper, an ontology infrastucture for multimedia reasoning is presented, making it possible to combine low-level visual descriptors with domain specific knowledge and subsequently analyze multimedia content with a generic algorithm that makes use of this knowledge. More specifically, the ontology infrastructure consists of a domain-specific ontology, a visual descriptor ontology (VDO) and an upper ontology. In order to interpret a scene, a set of atom regions is generated by an initial segmentation and their descriptors are extracted. Considering all descriptors in association with the related prototype instances and relations, a genetic algorithm labels the atom regions. Finally, a constraint reasoning engine enables the final region merging and labelling into meaningful objects. |
Year | DOI | Venue |
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2005 | 10.1007/11738695_8 | VLBV |
Keywords | Field | DocType |
visual descriptor ontology,ontology infrastucture,atom region,domain specific knowledge,ontology infrastructure,domain-specific ontology,low-level visual descriptors,upper ontology,constraint reasoning engine,multimedia reasoning,generic algorithm,genetic algorithm | Ontology (information science),Ontology,Ontology-based data integration,Process ontology,Computer science,Ontology Inference Layer,Suggested Upper Merged Ontology,Content management,Upper ontology,Multimedia | Conference |
Volume | ISSN | ISBN |
3893 | 0302-9743 | 3-540-33578-1 |
Citations | PageRank | References |
14 | 0.76 | 9 |
Authors | ||
9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nikolaos Simou | 1 | 39 | 3.29 |
Carsten Saathoff | 2 | 401 | 26.69 |
S. Dasiopoulou | 3 | 277 | 18.37 |
Evangelos Spyrou | 4 | 57 | 2.88 |
Nikola Voisine | 5 | 20 | 1.42 |
Vassilis Tzouvaras | 6 | 652 | 41.89 |
Ioannis Kompatsiaris | 7 | 1404 | 197.36 |
Yiannis Avrithis | 8 | 14 | 0.76 |
Steffen Staab | 9 | 6658 | 593.89 |