SJT | Scientific Journal of Technology
← Back to Volume 4, Issue 9

Research on the Method of Keras Library Combined with CNN Convolution to Classify Video

Ziqiao Qiu
Vol. 4, No. 9, pp. 14-17, 2022 DOI: 10.54691/sjt.v4i9.2091 September 21, 2022
Download PDF
Abstract.With the popularization of the mobile Internet and the impact of the new crown epidemic, the time spent by netizens on the Internet is gradually increasing. Every minute, every major video website will add nearly 100 hours of video. How to help users quickly find their favorite content and achieve effective video push is the future development focus of deep learning technology. This paper mainly introduces the research direction of efficient video classification using Keras library combined with CNN.
Keywords. Keras Library; CNN Convolution; Video Classification.
APA Citation Ziqiao Qiu (2022). Research on the Method of Keras Library Combined with CNN Convolution to Classify Video. Scientific Journal of Technology, 4(9), 14-17. https://doi.org/10.54691/sjt.v4i9.2091

References

  1. Wang Hengtao. Image recognition integrated system based on TensorFlow, Keras and OpenCV [J]. Electronic Testing,.2020.24.019.
  2. Yanxuan Lu, Qing Gao, Jinhu Lu, Maciej , Jin Zheng. A Quantum Convolutional Neural Network for Image Classification [C]//. Proceedings of the 40th China Control Conference (11). [Publisher unknown] 2021.027534.
  3. Bendong Zhao,Huanzhang Lu,Shangfeng Chen,Junliang Liu,Dongya Wu.Convolutional neural networks for time series classification[J].Journal of Systems Engineering and Electronics, 2017, 28 (01): 162-169.