Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 8, 1233(2025)

Hierarchical video summarization algorithm based on independent recurrent neural networks

Xiwei REN*, Yan LIU, Man XIAO, Shiduan JIA, Rui WANG, and Lifeng HE
Author Affiliations
  • College of Electronic Information and Artificial Intelligence, Shaanxi University of Science & Technology, Xi'an 710021, China
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    Figures & Tables(10)
    Diagram of HIRVS video digest network model
    Diagram of frame level IndRNN network model
    Simulation of feature computation using self-atten⁃tion mechanism
    Training time per epoch comparison in component-wise network ablation experiments
    Abstract result visualization
    • Table 1. Comparison of F-score results of different models

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      Table 1. Comparison of F-score results of different models

      ModelsSumMeTvSum
      dppLSTM1238.654.7
      DR-DSNsup2340.558.6
      H-RNN1642.157.9
      HSA-RNN1742.358.7
      RSGN2445.060.1
      SSPVS2548.760.3
      VJMHT2649.261.0
      VOGNet2749.860.8
      HIRVS51.061.3
    • Table 2. Comparison of F-score results of ablation experi⁃ments of different network modules

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      Table 2. Comparison of F-score results of ablation experi⁃ments of different network modules

      IndRNNShotsAttentionSumMeTvSum
      48.758.0
      47.660.2
      49.159.9
      51.061.3
    • Table 3. Comparison of F-score results of various InDRNN methods

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      Table 3. Comparison of F-score results of various InDRNN methods

      ModelsSumMeTvSum
      Single IndRNN50.160.8
      Bi-directional IndRNN49.460.7
      HIRVS(single)49.860.5
      HIRVS51.061.3
    • Table 4. Comparison of F-score results of different shots feature dimensions

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      Table 4. Comparison of F-score results of different shots feature dimensions

      Feature dimensionsSumMeTvSum
      12850.460.7
      25650.560.2
      51250.760.6
      1 02451.061.3
    • Table 5. Comparison of F-score results for different feature inputs in the self-attention module

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      Table 5. Comparison of F-score results for different feature inputs in the self-attention module

      Feature inputsSumMeTvSum
      ct50.360.8
      相加(ctst50.961.0
      拼接(ctct51.061.3
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    Xiwei REN, Yan LIU, Man XIAO, Shiduan JIA, Rui WANG, Lifeng HE. Hierarchical video summarization algorithm based on independent recurrent neural networks[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(8): 1233

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    Paper Information

    Category:

    Received: Apr. 12, 2025

    Accepted: --

    Published Online: Sep. 25, 2025

    The Author Email: Xiwei REN (renxiwei@sust.edu.cn)

    DOI:10.37188/CJLCD.2025-0084

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