Bad video classification based on deep learning

Yu Dai; Jun Lang

doi:10.1117/12.2684719

21 July 2023 Bad video classification based on deep learning

Yu Dai, Jun Lang

Proceedings Volume 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023); 1271715 (2023) https://doi.org/10.1117/12.2684719
Event: 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 2023, Wuhan, China

Abstract

In modern society, violence and pornography often occur in KTV entertainment venues and on campus. It is of great significance to protect students' physical and mental health and maintain the order of KTV entertainment venues if violent and pornographic clips can be instantly identified from surveillance videos. However, pornographic video identification networks in general are different from violent video identification networks. Moreover, the traditional video classification network is not suitable for the classification of bad videos. Therefore, we propose a new deep learning network architecture for bad video classification. The network consists of a primary branch that uses optical flow information and a secondary branch that uses keyframe information. Experimental results show that this network structure is more accurate than the existing related video classification networks.

Citation Download Citation

Yu Dai and Jun Lang "Bad video classification based on deep learning", Proc. SPIE 12717, 3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing (AIAHPC 2023), 1271715 (21 July 2023); https://doi.org/10.1117/12.2684719

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