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JI Jun-zhong, CHAI Ying, BEI Fei. Time-slice and Multi Metadata Fusion for Multimedia Social Event Detection[J]. Journal of Beijing University of Technology, 2015, 41(8): 1165-1171. DOI: 10.11936/bjutxb2015010034
Citation: JI Jun-zhong, CHAI Ying, BEI Fei. Time-slice and Multi Metadata Fusion for Multimedia Social Event Detection[J]. Journal of Beijing University of Technology, 2015, 41(8): 1165-1171. DOI: 10.11936/bjutxb2015010034
shu

Time-slice and Multi Metadata Fusion for Multimedia Social Event Detection

  • Beijing Municipal Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science,Beijing University of Technology,Beijing 100124,China

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  • Received Date: January 13, 2015
  • Available Online: January 10, 2023
    Graphical Abstract
    • Abstract
  • To detect network event efficiently in the large scaled and heterogeneous network environment,this research puts forward a new approach based on time-slice and multi metadata fusion for Multimedia Social Event Detection. Firstly,a user-time model by time-slicing with user information was constructed to reduce the scale of data. Secondly,the multi metadata fusion method and density-based clustering( DBSCAN) algorithm were applied to detect social events. The comparison experiments of the latest dataset-SED2014 indicate that the new approach is faster and more accurate to detect the network social event compared with the existing methods.
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    • References (14)
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