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dc.contributor.authorGreenhill, Stewart
dc.contributor.authorVenkatesh, Svetha
dc.contributor.editorAssociation for Computing Machinery, Inc. (ACM)
dc.identifier.citationGreenhill, S. and Venkatesh, S. 2007. Distributed Query Processing for Mobile Surveillance, in Wang, J.Z. et al (ed), Proceedings of the 9th ACM SIGMM International Workshop on Multimedia Information Retrieval (MIR 2007), Sep 24-29 2007, pp. 413-422. Augsburg, Germany: Association for Computing Machinery (ACM).

Addressing core issues in mobile surveillance, we present an architecture for querying and retrieving distributed, semi-permanent multi-modal data through challenged networks with limited connectivity. The system provides a rich set of queries for spatio-temporal querying in a surveillance context, and uses the network availability to provide best quality of service. It incrementally and adaptively refines the query, using data already retrieved that exists on static platforms and on-demand data that it requests from mobile platforms. We demonstrate the system using a real surveillance system on a mobile 20 bus transport network coupled with static bus depot infrastructure. In addition, we show the robustness of the system in handling different conditions in the underlying infrastructure by running simulations on a real, but historic dataset collected in an offline manner.

dc.publisherAssociation for Computing Machinery, Inc. (ACM)
dc.titleDistributed Query Processing for Mobile Surveillance
dc.typeConference Paper
dcterms.source.titleCompilation Proceedings of MM'07 & Co-Located Workshops
dcterms.source.seriesCompilation Proceedings of MM'07 & Co-Located Workshops
dcterms.source.conferenceACM Mulitmedia 2007
dcterms.source.conference-start-dateSep 24 2007
dcterms.source.conferencelocationAugsburg, Germany
dcterms.source.placeNew York, USA
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available

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