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

Authors:
Kaori Kusama;Takayuki Itoh
Affiliations:
Ochanomizu University, Ohtsuka, Bunkyo-ku, Tokyo, Japan;Ochanomizu University, Ohtsuka, Bunkyo-ku, Tokyo, Japan
Venue:
Proceedings of the 2011 ACM Symposium on Applied Computing
Year:
2011

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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.