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VLBV
2005
Springer

An Ontology Infrastructure for Multimedia Reasoning

14 years 3 months ago
An Ontology Infrastructure for Multimedia Reasoning
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.
Nikos Simou, Carsten Saathoff, Stamatia Dasiopoulo
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where VLBV
Authors Nikos Simou, Carsten Saathoff, Stamatia Dasiopoulou, Evaggelos Spyrou, Nikola Voisine, Vassilis Tzouvaras, Ioannis Kompatsiaris, Yannis S. Avrithis, Steffen Staab
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