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.

• 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
• Keywords: Ontology, Pattern Recognition, Visual Descriptor, Visual Descriptor Ontology, VLBV 2005