A Data Model for Content Modelling of Temporal Media

Behrang Qasemizadeh¹⁹,
Ian O’Neill¹⁹,
Philip Hanna¹⁹ &
…
Darryl Stewart¹⁹

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5630))

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International Workshop on Future Multimedia Networking

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Abstract

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.

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Authors and Affiliations

Institute of Electronics, Communications and Information Technology (ECIT), Queen’s University of Belfast, Belfast, BT3 9DT, Northern Ireland
Behrang Qasemizadeh, Ian O’Neill, Philip Hanna & Darryl Stewart

Authors

Behrang Qasemizadeh
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Ian O’Neill
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Philip Hanna
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Darryl Stewart
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Editors and Affiliations

Computing Department, Lancaster University, P.O. Box, LA1 4YR, Lancaster, United Kingdom
Andreas Mauthe
Department of Computer Science and Information Technology, University of the District of Columbia, 4200, Connecticut Avenue, 20008, Washington, DC, USA
Sherali Zeadally
Department of Informatics Engineering, University of Coimbra, Polo II, Pinhal de Marrocos, 3030-290, Coimbra, Portugal
Eduardo Cerqueira & Marília Curado &

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Qasemizadeh, B., O’Neill, I., Hanna, P., Stewart, D. (2009). A Data Model for Content Modelling of Temporal Media. In: Mauthe, A., Zeadally, S., Cerqueira, E., Curado, M. (eds) Future Multimedia Networking. FMN 2009. Lecture Notes in Computer Science, vol 5630. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02472-6_18

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DOI: https://doi.org/10.1007/978-3-642-02472-6_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02471-9
Online ISBN: 978-3-642-02472-6
eBook Packages: Computer ScienceComputer Science (R0)

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