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Recognition of Film Type Using HSV Features on Deep-Learning Neural Networks

Ching-Ta Lu Jia-An Lin Chia-Yi Chang Chia-Hua Liu Ling-Ling Wang Kun-Fu Tseng

电子科技学刊2020，Vol.18Issue(1)：31-41,11.
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电子科技学刊2020，Vol.18Issue(1)：31-41,11.DOI:10.11989/JEST.1674-862X.90904223

Recognition of Film Type Using HSV Features on Deep-Learning Neural Networks

Recognition of Film Type Using HSV Features on Deep-Learning Neural Networks

Ching-Ta Lu 1Jia-An Lin 2Chia-Yi Chang 1Chia-Hua Liu 1Ling-Ling Wang 1Kun-Fu Tseng3

作者信息

  • 1. the Department of Information Communication, Asia University,Taichung 41354
  • 2. the Department of Digital Media Design, Asia University, Taichung 41354
  • 3. the School of Electronics and Communication Engineering, Quanzhou University of Information Engineering,Quanzhou 362000
  • 折叠

摘要

关键词

Deep-learning/film type recognition/hue/saturation/and brightness value (HSV) analysis/neural networks/video classification

Key words

Deep-learning/film type recognition/hue/saturation/and brightness value (HSV) analysis/neural networks/video classification

引用本文复制引用

Ching-Ta Lu,Jia-An Lin,Chia-Yi Chang,Chia-Hua Liu,Ling-Ling Wang,Kun-Fu Tseng..Recognition of Film Type Using HSV Features on Deep-Learning Neural Networks[J].电子科技学刊,2020,18(1):31-41,11.

基金项目

This work was supported by MOST under Grant No. MOST 104-2221-E-468-007. （）

电子科技学刊

OACSCD

1674-862X

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