Visimu: a game for music color label collection
Authors: 
Borui Wang, Jingshu ChenAuthors Info & Claims
Pages 93 - 94
Abstract
Based on previous studies of the associations between color and music, we introduce a scalable way of using colors to label songs and a visualization of music archives that facilitates music exploration. We present Visimu, an online game that attracted users to generate 926 color labels for 102 songs, with over 75% of the songs having color labels reaching high consensus in the Lab color space. We implemented a music archive visualization using the color labels generated by Visimu, and conducted an experiment to show that labeling music by color is more effective than text tags when the user is looking for songs of a particular mood or use scenario. Our results showed that Visimu is effective to produce meaningful color labels for music mood classification, and such approach enables a wide range of applications for music visualization and discovery.
References
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Meyers, O. C. A mood-based music classification and exploration system (Doctoral dissertation, Massachusetts Institute of Technology) (2007).
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Trohidis K.,Tsoumakas, G., Kalliris, G., Vlahavas, I. Multi-label classification of music by emotion. Eurasip Journal on Audio Speech and Music Processing, 9 (2011).
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Law E.L.M., Ahn L.V., Dannenberg R. B.,Crawford M. Tagatume: a game for music and sound annotation, International Conference on Music Information Retrieval (ISMIR'07), 361--364 (2007).
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Kim, Y., Schmidt, E., Emelle L. MoodSwings: A Collaborative Game for Music Mood Label Collection., the 9th International Conference on Music Information Retrieval, 231--236 (2008).
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Cuddy, L. L. The color of melody. Music Perception, 345360 (1985).
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Tsang, T., & Schloss, K. B. Associations between Color and Music are Mediated by Emotion and Influenced by Tempo. The Yale Review of Undergraduate Research in Psychology, 82.
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Index Terms
- Visimu: a game for music color label collection
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Information
Published In
October 2013
126 pages
ISBN:9781450324069
DOI:10.1145/2508468
- General Chairs:
- Shahram Izadi,
- Aaron Quigley,
- Program Chairs:
- Ivan Poupyrev,
- Takeo Igarashi
Copyright © 2013 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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Association for Computing Machinery
New York, NY, United States
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Published: 08 October 2013
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UIST'13: The 26th Annual ACM Symposium on User Interface Software and Technology
October 8 - 11, 2013
St. Andrews, Scotland, United Kingdom
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UIST '13 Adjunct Paper Acceptance Rate 49 of 317 submissions, 15%;
Overall Acceptance Rate 355 of 1,733 submissions, 20%
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