Abstract
Back Ground Music (BGM) is used to enhance the impression of the image. However, we have no method of automatic recommendation of a music that suits an impression of an image in currently. In this paper, we propose an automatic recommendation system of music matching input image. To recommend a music, the system extracts some features of both the input image and the music in database. And the system learns the correspondence of the image features to the music features using Canonical Correlation Analysis. We designed the system structure and verified the effectiveness of the proposed method.
