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MusCat: a music browser featuring abstract pictures and zooming user interface

Authors:

Kaori Kusama,

Takayuki ItohAuthors Info & Claims

SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing

Pages 1222 - 1228

https://doi.org/10.1145/1982185.1982455

Published: 21 March 2011 Publication History

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Abstract

Today many people store music media files in personal computers or portable audio players, thanks to recent evolution of multimedia technologies. The more music media files these devices store, the messier it is to search for tunes that users want to listen to. We propose MusCat, a music browser to interactively search for the tunes according to features, not according to metadata (e.g. title, artist name). The technique firstly calculates features of tunes, and then hierarchically clusters the tunes according to the features. It then automatically generates abstract pictures, so that users can recognize characteristics of tunes more instantly and intuitionally. It finally visualizes the tunes by using abstract pictures. The technique enables intuitive music selection with the zooming user interface.

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Okamoto KYamanishi RMatsushita M(2016)Sound-effects Exploratory Retrieval System Based on Various AspectsIEEJ Transactions on Electronics, Information and Systems10.1541/ieejeiss.136.1712136:12(1712-1720)Online publication date: 2016
https://doi.org/10.1541/ieejeiss.136.1712
Uota TItoh T(2014)GRAPE: A Gradation Based Portable Visual Playlist2014 18th International Conference on Information Visualisation10.1109/IV.2014.13(361-365)Online publication date: Jul-2014
https://doi.org/10.1109/IV.2014.13

Index Terms

MusCat: a music browser featuring abstract pictures and zooming user interface
1. Applied computing
  1. Arts and humanities
    1. Sound and music computing
2. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Graphical user interfaces

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Published In

SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing

March 2011

1868 pages

ISBN:9781450301138

DOI:10.1145/1982185

Conference Chairs:
William Chu
Tunghai University, TaiChung, Taiwan
,
W. Eric Wong
University of Texas at Dallas, Richardson, Texas
,
Program Chairs:
Mathew J. Palakal
Indiana University Purdue University, Indianapolis
,
Chih-Cheng Hung
Southern Polytechnic State University, Marietta

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 21 March 2011

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SAC'11: The 2011 ACM Symposium on Applied Computing

March 21 - 24, 2011

TaiChung, Taiwan

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Okamoto KYamanishi RMatsushita M(2016)Sound-effects Exploratory Retrieval System Based on Various AspectsIEEJ Transactions on Electronics, Information and Systems10.1541/ieejeiss.136.1712136:12(1712-1720)Online publication date: 2016
https://doi.org/10.1541/ieejeiss.136.1712
Uota TItoh T(2014)GRAPE: A Gradation Based Portable Visual Playlist2014 18th International Conference on Information Visualisation10.1109/IV.2014.13(361-365)Online publication date: Jul-2014
https://doi.org/10.1109/IV.2014.13

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