@InProceedings{KolhoffPhilippPreußJacquelineLoviscachJörn:2006:PrGlAu,
author = "Kolhoff and Philipp and Preuß and Jacqueline and Loviscach and
{J{"o}rn}",
affiliation = "{Hochschule Bremen (University of Applied Sciences)}",
title = "Music Icons: Procedural Glyphs for Audio Files",
booktitle = "Proceedings...",
year = "2006",
editor = "Oliveira Neto, Manuel Menezes de and Carceroni, Rodrigo Lima",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 19.
(SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "music information retrieval, visual data mining, audio features,
MFCC, neural net.",
abstract = "Nowadays, 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.",
conference-location = "Manaus, AM, Brazil",
conference-year = "8-11 Oct. 2006",
doi = "10.1109/SIBGRAPI.2006.30",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2006.30",
language = "en",
ibi = "6qtX3pFwXQZG2LgkFdY/LJ4gH",
url = "http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LJ4gH",
targetfile = "kolhoff-MusicIcons.pdf",
urlaccessdate = "2025, Feb. 10"
}