Title
An ontology infrastructure for multimedia reasoning
Abstract
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
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 Simou1393.29
Carsten Saathoff240126.69
S. Dasiopoulou327718.37
Evangelos Spyrou4572.88
Nikola Voisine5201.42
Vassilis Tzouvaras665241.89
Ioannis Kompatsiaris71404197.36
Yiannis Avrithis8140.76
Steffen Staab96658593.89