Reference TypeConference Proceedings
Citation KeyKolhoffPhilippPreu▀JacquelineLoviscachJ÷rn:2006:PrGlAu
Author1 Kolhoff
2 Philipp
3 Preu▀
4 Jacqueline
5 Loviscach
6 J÷rn
Affiliation1 Hochschule Bremen (University of Applied Sciences)
TitleMusic Icons: Procedural Glyphs for Audio Files
Conference NameBrazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI)
EditorOliveira Neto, Manuel Menezes de
Carceroni, Rodrigo Lima
Book TitleProceedings
Date8-11 Oct. 2006
Publisher CityLos Alamitos
PublisherIEEE Computer Society
Conference LocationManaus
Keywordsmusic information retrieval, visual data mining, audio features, MFCC, neural net.
AbstractNowadays, a personal music collection may comprise thousands of MP3 files. Visualization can help the user to gain an overview and to find similar songs inside so large a set. We describe a method to create icons from audio files in such a way that songs which the user considers similar receive similar icons. This allows visual data mining in standard directory listings of window-based operating sys-tems. The icons consist of bloom-like shapes, whose form and color depend on eight parameters. These parameters are controlled through a neural net, the input of which are audio features that are extracted algorithmically from the MP3 files. To adapt the system to the users perception and interests, the neural net is initially trained with a small set of songs and icons. User studies done on the system demon-strate a strong perceptual relation between music and icons.
Tertiary TypeFull Paper
Size822 KiB
Number of Files1
Target Filekolhoff-MusicIcons.pdf
Last Update2006: administrator
Metadata Last Update2020: administrator {D 2006}
Document Stagecompleted
Is the master or a copy?is the master
User Groupj.loviscach administrator
Content TypeExternal Contribution
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History2008-07-17 14:11:02 :: j.loviscach -> administrator ::
2009-08-13 20:38:01 :: administrator -> banon ::
2010-08-28 20:02:22 :: banon -> administrator ::
2020-02-19 03:17:34 :: administrator -> :: 2006
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Access Date2020, Nov. 24