Acta Geodaetica et Cartographica Sinica ›› 2015, Vol. 44 ›› Issue (5): 555-562.doi: 10.11947/j.AGCS.2015.20140176

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Hierarchical Semantic Model of Geovideo

XIE Xiao1,2, ZHU Qing1,3, ZHANG Yeting1, ZHOU Yan4, XU Weiping1, WU Chen1   

  1. 1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;
    2. Department of Cartography, Technical University of Munich, Munich 80333, Germany;
    3. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China;
    4. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China
  • Received:2014-04-08 Revised:2014-06-17 Online:2015-05-20 Published:2015-05-27
  • Supported by:

    Open Foundation Funded by Key Laboratory of Oasis Ecology of Xinjiang University, China (No.XJDX0201-2013-01);The National Key Technology Research and Development Program of the Ministry of Science and Technology of China (No.2012BAH35B02);The National Natural Science Foundation of China (Nos.41261086;41471320; 41471332)

Abstract:

The public security incidents were getting increasingly challenging with regard to their new features, including multi-scale mobility, multistage dynamic evolution, as well as spatiotemporal concurrency and uncertainty in the complex urban environment. However, the existing video models, which were used/designed for independent archive or local analysis of surveillance video, have seriously inhibited emergency response to the urgent requirements.Aiming at the explicit representation of change mechanism in video, the paper proposed a novel hierarchical geovideo semantic model using UML. This model was characterized by the hierarchical representation of both data structure and semantics based on the change-oriented three domains (feature domain, process domain and event domain) instead of overall semantic description of video streaming; combining both geographical semantics and video content semantics, in support of global semantic association between multiple geovideo data. The public security incidents by video surveillance are inspected as an example to illustrate the validity of this model.

Key words: video GIS, geovideo, semantic model, event, spatiotemporal association

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