An Improved Online Folk Sports Culture Exchange Model Based on Multimedia Data Analysis and Edge Computing

Abstract

In order to improve the effect of folk sports cultural exchange, this study proposes an improved online folk sports cultural exchange model based on multimedia data analysis and edge computing. Moreover, this study explores the factors that affect the local popularity of media content and establishes a relationship model between user request volume and edge node location characteristics. In addition, this study designs customized edge storage strategies under different conditions, which effectively increases the amount of user requests processed by edge nodes and enhances the agility of edge nodes to respond to user content requests. Finally, in order to improve the effectiveness of content crowdsourcing collection, the edge platform needs to select the optimal set of participants to complete the content collection task under a given task budget. The experimental research shows that the improved online folk sports culture exchange model based on multimedia data analysis and edge computing can realize the effective exchange of folk culture.