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A framework for ontology enriched semantic annotation of CCTV video

Vrusias, B, Newbold, N, Makris, D, Renno, J-P, Jones, G and Ahmad, K (2007) A framework for ontology enriched semantic annotation of CCTV video 8th International Workshop on Image Analysis for Multimedia Interactive Services, WIAMIS 2007.

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Abstract

This paper deals with the problem of semantic transcoding of CCTV video footage. A framework is proposed that combines Computer Vision algorithms that extract visual semantics, together with Natural Language Processing that automatically builds the domain ontology from unstructured text annotations. The final aim is a system that will link the visual and text semantics in order to routinely annotate video sequences with the appropriate keywords of the domain experts ' terminology. © 2007 IEEE.

Item Type: Article
Additional Information:

Copyright 2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Divisions: Faculty of Engineering and Physical Sciences > Computing Science
Depositing User: Melanie Hughes
Date Deposited: 16 Nov 2012 09:45
Last Modified: 09 Jun 2014 13:26
URI: http://epubs.surrey.ac.uk/id/eprint/724465

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