VIOLENCE

作品数:273被引量:60H指数:4
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相关作者:缪怡曹明伦郑莹尤小云丁希更多>>
相关机构:湖南大学复旦大学清华大学四川大学更多>>
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A violence detection method based on deep and shallow feature fusion
《Instrumentation》2024年第4期64-75,共12页Lin'en Liu Xuguang Zhang 
In the research of video-based violent behavior detection,the motion information in the video is vital for violence detection.How to highlight motion information in videos and integrate spatiotemporal information is a...
关键词:SURVEILLANCE optical flow violence detection deep learning 
Balancing Accuracy and Training Time in Federated Learning for Violence Detection in Surveillance Videos:A Study of Neural Network Architectures
《Journal of Computer Science & Technology》2024年第5期1029-1039,共11页Quentin Pajon Swan Serre Hugo Wissocq Léo Rabaud Siba Haidar Antoun Yaacoub 
This paper presents an original investigation into the domain of violence detection in videos,introducing an innovative approach tailored to the unique challenges of a federated learning environment.The study encompas...
关键词:artificial intelligence federated learning neural network violence detection video analysis 
Social Media Cyberbullying Detection on Political Violence from Bangla Texts Using Machine Learning Algorithm
《Journal of Intelligent Learning Systems and Applications》2023年第4期108-122,共15页Md. Tofael Ahmed Almas Hossain Antar Maqsudur Rahman Abu Zafor Muhammad Touhidul Islam Dipankar Das Md. Golam Rashed 
When someone threatens or humiliates another person online by sending those unpleasant messages or comments, this is known as Cyberbullying. Recently, Bangla text has been used much more often on social media. People ...
关键词:CYBERBULLYING Bangla Texts Political Issues Machine Learning Random Forest Social Media 
An Efficient Violence Detection Method Based on Temporal Attention Mechanism
《Instrumentation》2023年第2期49-56,共8页WANG Binxu ZHANG Xuguang 
Violence detection is very important for public safety.However,violence detection is not an easy task.Because recognizing violence in surveillance video requires not only spatial information but also sufficient tempor...
关键词:Violence Detection Temporal Attention Convolutional LSTM CNN-RNN 
Predicting Violence-Induced Stress in an Arabic Social Media Forum
《Intelligent Automation & Soft Computing》2023年第2期1423-1439,共17页Abeer Abdulaziz AlArfaj Nada Ali Hakami Hanan Ahmed Hosni Mahmoud 
funded by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2022R113);Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabia。
Social Media such as Facebook plays a substantial role in virtual com-munities by sharing ideas and ideologies among different populations over time.Social interaction analysis aids in defining people’s emotions and a...
关键词:Arabic language analysis violence-induced stress detection hybrid model deep learning 
A Skeleton-based Approach for Campus Violence Detection被引量:1
《Computers, Materials & Continua》2022年第7期315-331,共17页Batyrkhan Omarov Sergazy Narynov Zhandos Zhumanov Aidana Gumar Mariyam Khassanova 
This work was supported by the grant“Development of artificial intelligenceenabled software solution prototype for automatic detection of potential facts of physical bullying in educational institutions”funded by the Ministry of Education of the Republic of Kazakhstan.Grant No.IRN AP08855520.
In this paper,we propose a skeleton-based method to identify violence and aggressive behavior.The approach does not necessitate highprocessing equipment and it can be quickly implemented.Our approach consists of two p...
关键词:PoseNET SKELETON VIOLENCE BULLYING artificial intelligence machine learning 
Automatic Mid-Level Concepts Clusteringfor Violent Movie Scenes Detection
《Journal of Mathematics and System Science》2014年第9期609-619,共11页Terumasa AOKI Shinichi GOTO 
This paper presents a novel system for violent scenes detection, which is based on machine learning to handle visual and audio features. MKL (Multiple Kernel Learning) is applied so that multimodality of videos can ...
关键词:Multimedia analysis video processing violence scenes detection MediaEval machine learning MKL(Multiple KernelLearning) 
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