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http://dx.doi.org/10.9717/kmms.2020.23.6.765

Music Generation Algorithm based on the Color-Emotional Effect of a Painting  

Choi, Hee Ju (School of Computer Science and Engineering, Kyungpook National University)
Hwang, Jung-Hun (School of Convergence & Fusion System Engineering, Kyungpook National University)
Ryu, Shinhye (School of Computer Science and Engineering, Kyungpook National University)
Kim, Sangwook (School of Computer Science and Engineering, Kyungpook National University)
Publication Information
Abstract
To enable AI(artificial intelligence) to realize visual emotions, it attempts to create music centered on color, an element that causes emotions in paintings. Traditional image-based music production studies have a limitation in playing notes that are unrelated to the picture because of the absence of musical elements. In this paper, we propose a new algorithm to set the group of music through the average color of the picture, and to produce music after adding diatonic code progression and deleting sound using median value. And the results obtained through the proposed algorithm were analyzed.
Keywords
Artificial Emotion; Color-emotional Effect; Synesthesia; Image-color Conversion; Chord Progression;
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