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.
This research was partially supported by the European Commission under contract FP6-001765 aceMedia.
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Simou, N. et al. (2006). An Ontology Infrastructure for Multimedia Reasoning. In: Atzori, L., Giusto, D.D., Leonardi, R., Pereira, F. (eds) Visual Content Processing and Representation. VLBV 2005. Lecture Notes in Computer Science, vol 3893. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11738695_8
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DOI: https://doi.org/10.1007/11738695_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33578-8
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