Application of Multimedia Service based on Artificial Intelligence and Real-time Communication in Higher Education

Abstract

In order to improve the application effect of multimedia services in higher education, this paper combines artificial intelligence technology and real-time communication technology to improve the multimedia teaching mode in colleges and universities to improve the efficiency of multimedia teaching in colleges and universities, and proposes a new estimation method of neighborhood parameters and intrinsic dimensions. Moreover, this paper uses SVD to analyze the intrinsic dimension of each subset in the minimum subset coverage under different neighborhood parameters of the dataset. In addition, this paper obtains the eigen-dimension of the manifold where the dataset is located and the range of the neighborhood parameters suitable for the manifold learning method by counting the change of the eigen-dimension with the neighborhood parameters. Finally, through research, this paper verifies that the real-time communication and multimedia service based on artificial intelligence proposed in this paper has obvious application effect in higher education.