지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.8
- 수록면
- 208 - 216 (9page)
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초록· 키워드
오류제보하기
Music can always bring out infinite reverie. Famous music website like last.fm further tags music based on raised emotions, from sadness to joy. Color on the other hand, is believed to have a connection with human emotions. This paper proposes a music visualization system Muvis that digs out emotion from music which is represented by color from a revised HSV color model and the mapping process adopt a simplified linear probability density function to fit emotion’s Gaussian distribution. After that, we use three dimensions of space to display the music with particle system in a visually meaningful way. By making use of both low level features, such as intensity, and high level features such as emotion, Muvis can give user a better understanding of the music content. Examples are presented for music with different emotion and user studies are shown our method can create enjoyable result and enhance emotional resonance at the same time.
목차
Abstract
1. Introduction
2. Related work
3. Music visualize system of Muvis
4. Emotion mapping
5. Experiments and discussion
6. Conclusions
References
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UCI(KEPA) : I410-ECN-0101-2015-500-000938467