New Representations of Content through Visualization of Music

Abstract

In this paper, we will introduce methods of converting musical expression into visual representations and research work into producing content using these new representations. We expect to accomplish this by analyzing and extracting relationship between the music theory features (volume, rhythm, pitch, reverberation, song development, etc.) and the emotional features (bright, dark, tension, relaxation, etc.) caused by music and then designing images output that corresponds to each of the parameters. By combining the results with the original content images, the information contained in the music can be conveyed in a way that is easy to understand, and that is rich with emotion.