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Volume 39 Issue 1
Jan.  2021
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Article Navigation >  DIGITAL TECHNOLOGY & APPLICATION  > 2021  >  39(1): 162-165
JIANG Guang-jie. A General Technical Framework for Searching Graphs from Massive Data[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 162-165. doi: 10.19695/j.cnki.cn12-1369.2021.01.51
Citation: JIANG Guang-jie. A General Technical Framework for Searching Graphs from Massive Data[J]. DIGITAL TECHNOLOGY & APPLICATION, 2021, 39(1): 162-165. doi: 10.19695/j.cnki.cn12-1369.2021.01.51
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A General Technical Framework for Searching Graphs from Massive Data

doi: 10.19695/j.cnki.cn12-1369.2021.01.51

  • Qingdao Hisense Network Technology Co., Ltd., Qingdao Shandong 266071

  • Received Date: 2020-12-10
  • Rev Recd Date: 2021-01-17
    • Available Online: 2021-09-23
  • Publish Date: 2021-01-25
    Abstract
  • With the continuous deepening of the application of video AI intelligent analysis technology in the field of public security, the surveillance camera acquisition equipment in each urban area has incorporated massive video image data, forming effective structured information and vector feature information. The vector feature information is mainly used to search the case suspects with the precise image. This paper presents a solution to support the rapid retrieval of mass images.

     

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