Title: Application of Video Data Classification Models Using Convolutional Neural Networks
Authors: Iryna Tvoroshenko, Viktor Pomazan, Volodymyr Gorokhovatskyi, Oleg Kobylin
Volume: 7
Issue: 11
Pages: 134-145
Publication Date: 2023/11/28
Abstract:
This paper explores the classification of video data with convolutional neural networks. It discusses how convolutional neural network architecture can do this task with fastness and maximum efficiency. By analyzing the different convolutional neural network models model was proposed that showed great results in this video classification task. The strengths and weaknesses of the neural network model for video classification have been identified, and the prospects for further work have also been outlined.