Construction of university English teaching connection model based on multimedia fusion

Author:

luo liang1

Affiliation:

1. Panzhihua University

Abstract

Abstract In order to improve the cohesion and quality of college English teaching, the cohesion model of college English teaching under the interactive network environment of database server is constructed. This paper puts forward a connecting platform for college English teaching under the interactive network environment of database server based on multimedia fusion. Build a big data analysis model of college English teaching convergence multimedia information in the database server interactive network environment, get the feature quantity of college English teaching convergence information in the queue resource quota manager, and combine the big data mining method to carry out multimedia information fusion and feature clustering processing of college English teaching convergence in the database server interactive network environment. The heterogeneous directed graph fusion clustering is adopted to design the optimal storage structure of college English teaching convergence multimedia information in the database server interactive network environment, and the semantic ontology features of college English teaching convergence multimedia information in the database server interactive network environment are extracted. Through feature optimization retrieval, the design of college English teaching convergence platform and multimedia information fusion in the database server interactive network environment are realized. Through the method of multimedia information fusion of college English teaching convergence under the interactive network environment of database server, differential scheduling is carried out to improve the ability of college English teaching convergence and multimedia information fusion under the interactive network environment of database server. The simulation results show that the designed college English teaching interface platform has high information fusion degree and strong resource allocation ability under the interactive network environment of database server.

Publisher

Research Square Platform LLC

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