Video Aided Analysis System of Volleyball Match Based on Artificial Neural Network

The existence of information is not only in text mode, but also in video mode. What kind of technology can be used to effectively analyze and process video information has become an urgent problem to be solved. As we all know, video analysis of sports games can help athletes understand the rules and methods of sports, and also help amateurs to learn ball skills through video watching. Therefore, the development of a video-assisted analysis system for games has attracted the attention of the academic community. In this paper, the video-assisted analysis system based on artificial neural network is studied, and the video of volleyball game is taken as the research object to analyze the purpose and function of the system. According to the performance test results of system scalability, stability and parallelism, the system can meet the needs of users, and the automatic video annotation function of the system is also better than the manual annotation function.