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    Distributed Query Processing for Mobile Surveillance

    Access Status
    Fulltext not available
    Authors
    Greenhill, Stewart
    Venkatesh, Svetha
    Date
    2007
    Type
    Conference Paper
    
    Metadata
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    Citation
    Greenhill, 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).
    Source Title
    Compilation Proceedings of MM'07 & Co-Located Workshops
    Source Conference
    ACM Mulitmedia 2007
    DOI
    10.1145/1291233.1291331
    ISBN
    9781595937025
    School
    Department of Computing
    URI
    http://hdl.handle.net/20.500.11937/15551
    Collection
    • Curtin Research Publications
    Abstract

    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.

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