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학술대회 Smoodi: Mood-based Music Recommendation Player
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저자
이승재, 김정현, 김성민, 유원영
발행일
201107
출처
International Conference on Multimedia and Expo (ICME) 2011, pp.1-4
DOI
https://dx.doi.org/10.1109/ICME.2011.6012116
협약과제
11MT1500, DRM 비적용 환경에서의 콘텐츠 보호 유통기술개발, 유원영
초록
In this paper, we present a mood-based music recommendation player: Smoodi. The Smoodi provides smart mood recommendation by touch and drag and it has three different views: Mood Square, Cover Flow and Mood Cloud. In the Mood Square, users can check the mood distribution of local clips and generate playlists by touching mood cells. In the Cover Flow, users can find music information and generate similar songs list by dragging a seed song. In the Tag Cloud, users can make playlists by selecting mood tags. For this application, we developed new mood model from collected mood tags and arousal-valence position values and designed a regression function to estimate mood probabilities. © 2011 IEEE.
KSP 제안 키워드
Music information, Regression function, music recommendation, tag cloud