Movie generation based on higher-order features of music

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  • 音楽からの高次特徴抽出に基づく映像生成

Abstract

When posting their music on the Internet, professional musicians create their own videos or order videos, but this is not always easy for amateur composers due to financial and other reasons. In this research, we have developed a program that analyzes music and automatically creates videos. Using machine learning, we extracted abstract features of the music such as “brightness,” “orderliness,” and “organicity” as numerical values, and built a system that automatically creates images according to these values. The video was based on the frequency spectrum, volume, and audio waveform, and its lines and colors were changed according to those higher-order features to make the video more suitable for the music.

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