1. Identity statement | |
Reference Type | Conference Paper (Conference Proceedings) |
Site | sibgrapi.sid.inpe.br |
Holder Code | ibi 8JMKD3MGPEW34M/46T9EHH |
Identifier | 6qtX3pFwXQZG2LgkFdY/LJ4gH |
Repository | sid.inpe.br/sibgrapi@80/2006/07.11.16.44 |
Last Update | 2006:07.11.16.44.01 (UTC) administrator |
Metadata Repository | sid.inpe.br/sibgrapi@80/2006/07.11.16.44.02 |
Metadata Last Update | 2022:06.14.00.13.10 (UTC) administrator |
DOI | 10.1109/SIBGRAPI.2006.30 |
Citation Key | KolhoffPhilippPreußJacquelineLoviscachJörn:2006:PrGlAu |
Title | Music Icons: Procedural Glyphs for Audio Files  |
Format | On-line |
Year | 2006 |
Access Date | 2025, Feb. 10 |
Number of Files | 1 |
Size | 822 KiB |
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2. Context | |
Author | 1 Kolhoff 2 Philipp 3 Preuß 4 Jacqueline 5 Loviscach 6 Jörn |
Affiliation | 1 Hochschule Bremen (University of Applied Sciences) |
Editor | Oliveira Neto, Manuel Menezes de Carceroni, Rodrigo Lima |
e-Mail Address | j.loviscach@computer.org |
Conference Name | Brazilian Symposium on Computer Graphics and Image Processing, 19 (SIBGRAPI) |
Conference Location | Manaus, AM, Brazil |
Date | 8-11 Oct. 2006 |
Publisher | IEEE Computer Society |
Publisher City | Los Alamitos |
Book Title | Proceedings |
Tertiary Type | Full Paper |
History (UTC) | 2008-07-17 14:11:02 :: j.loviscach -> administrator :: 2009-08-13 20:38:01 :: administrator -> banon :: 2010-08-28 20:02:22 :: banon -> administrator :: 2022-06-14 00:13:10 :: administrator -> :: 2006 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Version Type | finaldraft |
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. |
Arrangement 1 | urlib.net > SDLA > Fonds > SIBGRAPI 2006 > Music Icons: Procedural... |
Arrangement 2 | urlib.net > SDLA > Fonds > Full Index > Music Icons: Procedural... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | there are no files |
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4. Conditions of access and use | |
data URL | http://urlib.net/ibi/6qtX3pFwXQZG2LgkFdY/LJ4gH |
zipped data URL | http://urlib.net/zip/6qtX3pFwXQZG2LgkFdY/LJ4gH |
Language | en |
Target File | kolhoff-MusicIcons.pdf |
User Group | j.loviscach administrator |
Visibility | shown |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPEW34M/46RFT7E 8JMKD3MGPEW34M/4742MCS |
Citing Item List | sid.inpe.br/sibgrapi/2022/05.08.00.20 22 sid.inpe.br/sibgrapi/2022/06.10.21.49 6 |
Host Collection | sid.inpe.br/banon/2001/03.30.15.38 |
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6. Notes | |
Empty Fields | archivingpolicy archivist area callnumber contenttype copyholder copyright creatorhistory descriptionlevel dissemination documentstage edition electronicmailaddress group isbn issn label lineage mark mirrorrepository nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project readergroup readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey secondarymark secondarytype serieseditor session shorttitle sponsor subject tertiarymark type url volume |
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