Video violence recognition and localization using a semi-supervised hard attention model
作者:
Highlights:
• Videos contain irrelevant information like background and surrounding objects.
• Isolating the valuable information in a video increases the classification accuracy.
• Reinforcement learning-based hard attention can identify critical visual information.
• Hard attention learns violence localization without explicit spatial annotation.
摘要
•Videos contain irrelevant information like background and surrounding objects.•Isolating the valuable information in a video increases the classification accuracy.•Reinforcement learning-based hard attention can identify critical visual information.•Hard attention learns violence localization without explicit spatial annotation.
论文关键词:Deep reinforcement learning,Violence detection,Hard attention,Video classification,Semi-supervised learning
论文评审过程:Received 19 April 2022, Revised 7 August 2022, Accepted 4 September 2022, Available online 7 September 2022, Version of Record 16 September 2022.
论文官网地址:https://doi.org/10.1016/j.eswa.2022.118791