Analysis and Recognition of Sports Video in Physical Coaching Process Using Particle Swarm Optimization Algorithm

Abstract

The proportion of network video traffic in the network is increasing as Internet and streaming media technology continues to advance. The current network environment is becoming more complicated as new application services emerge. ISPs are grappling with how to effectively allocate limited network bandwidth resources while maintaining network service quality (Internet service provider). Currently, in the process of physical coaching, trainers use the video replay and analysis management method with less difficulty to explain the essentials of movements to athletes, but it is not intuitive enough to identify and classify network video services and can guide Internet service providers (ISPs) to optimise network resource management and rationally configure traffic engineering, in order to ensure the quality of service (QOS) of video services. Finally, using the shot as the unit, find similar video clips in the video database based on the video examples submitted by the user, and return retrieval results based on similarity. This paper uses streaming video as the research object and examines the transmission control of sports video using the particle swarm optimization algorithm in detail, based on a comprehensive introduction to the analysis and recognition of sports video in the process of physical coaching.