This paper describes a data model for content representation of temporal media in an IP based sensor network. The model is formed by introducing the idea of semantic-role from linguistics into the underlying concepts of formal event representation with the aim of developing a common event model. The architecture of a prototype system for a multi camera surveillance system, based on the proposed model is described. The important aspects of the proposed model are its expressiveness, its ability to model content of temporal media, and its suitability for use with a natural language interface. It also provides a platform for temporal information fusion, as well as organizing sensor annotations by help of ontologies. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Qasemizadeh, B., O’Neill, I., Hanna, P., & Stewart, D. (2009). A data model for content modelling of temporal media. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5630 LNCS, pp. 194–199). https://doi.org/10.1007/978-3-642-02472-6_18
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