Laser & Optoelectronics Progress, Volume. 56, Issue 6, 061004(2019)

Key Frame Extraction of Hysteroscopy Videos Based on Image Quality and Attention

Qiangqiang Miao*
Author Affiliations
  • College of Information Engineering, Wuhan University of Technology, Wuhan, Hubei 430070, China
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    Figures & Tables(6)
    Overall framework of proposed method
    Processing results of video 4 by method in Ref.[13]
    Image quality curve of video 4 and corresponding video segmentation results
    Final segmentation results of video 4 and key frames selected by proposed method
    Comparison of key frames extractedfrom video 8 by each method
    • Table 1. Comparison of experimental resultsby each method

      View table

      Table 1. Comparison of experimental resultsby each method

      MethodNMξμR /%P /%F /%Running time /h
      Method in Ref. [1]121563572.9246.2856.6215.56
      Method in Ref. [2]192582245.8330.2136.420.13
      Method in Ref. [11]110503879.1745.4557.7512.36
      Method in Ref. [13]109523981.2547.7160.1212.21
      Proposed102543777.0852.9462.771.64
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    Qiangqiang Miao. Key Frame Extraction of Hysteroscopy Videos Based on Image Quality and Attention[J]. Laser & Optoelectronics Progress, 2019, 56(6): 061004

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    Paper Information

    Category: Image Processing

    Received: Sep. 3, 2018

    Accepted: Oct. 17, 2018

    Published Online: Jul. 30, 2019

    The Author Email: Miao Qiangqiang (amiao@whut.edu.cn)

    DOI:10.3788/LOP56.061004

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