Research on Multimedia Music Teaching Based on Artificial Intelligence

In order to improve the efficiency of music teaching, this paper constructs a multimedia music teaching system based on artificial intelligence. Moreover, this paper focuses on the technical research of intraframe prediction, intraframe filtering, and transformation technology, respectively proposes the intraframe prediction method based on brightness change and the intraframe filtering technique based on the iterative update, and respectively proposes corresponding optimization algorithms. In addition, this paper proposes intraframe prediction technology based on brightness changes and intraframe filtering technology based on an iterative update, which brings improvements in coding performance, analyzes and verifies the experimental results, and proposes corresponding optimization algorithms, respectively, which saves coding and decoding time. Finally, this paper constructs a corresponding model structure based on actual needs, and analyzes the performance of this model through experimental research. The research results show that the teaching system constructed in this paper has better performance.