Design of Multimedia Tennis Teaching Data Integration System in Colleges and Universities Based on Computation

Abstract

In order to improve the management ability of multimedia tennis video teaching data in colleges and universities under cloud computing, the optimization design of college multimedia tennis video teaching data integration system is carried out. Big data processing technology is used to optimize the scheduling and management of multimedia tennis video teaching data in colleges and universities under cloud computing, and a data management model of college multimedia tennis video teaching is constructed. Extracting metadata of college multimedia tennis video teaching data under cloud computing, using semantic feature extraction method to extract multimedia tennis video teaching data information feature extraction, The fuzzy correlation degree characteristics of multimedia tennis video teaching data metadata in cloud computing environment is calculated, and combines fuzzy clustering method to deal with multimedia tennis video teaching data information clustering in colleges and universities under cloud computing. Improve the multimedia tennis video teaching data extended query and parallel scheduling ability. Develop and design the multimedia tennis video teaching data integration system in the embedded mobile terminal. The simulation results show that this method is used to design the multimedia tennis video teaching data integration system under cloud computing, which improves the information management ability of the multimedia tennis video teaching data, and the balance of resource scheduling is good, the teaching quality is improved.