Identifying music documents in a collection of images

Simple item page
dc.contributor.authorBainbridge, David
dc.contributor.authorBell, Timothy C.
dc.coverage.spatialConference held at Victoria, Canadaen_NZ
dc.date.accessioned2010-05-26T01:51:37Z
dc.date.available2010-05-26T01:51:37Z
dc.date.issued2006
dc.description.abstractDigital libraries and search engines are now well-equipped to find images of documents based on queries. Many images of music scores are now available, often mixed up with textual documents and images. For example, using the Google “images” search feature, a search for “Beethoven” will return a number of scores and manuscripts as well as pictures of the composer. In this paper we report on an investigation into methods to mechanically determine if a particular document is indeed a score, so that the user can specify that only musical scores should be returned. The goal is to find a minimal set of features that can be used as a quick test that will be applied to large numbers of documents. A variety of filters were considered, and two promising ones (run-length ratios and Hough transform) were evaluated. We found that a method based around run-lengths in vertical scans (RL) that out-performs a comparable algorithm using the Hough transform (HT). On a test set of 1030 images, RL achieved recall and precision of 97.8% and 88.4% respectively while HT achieved 97.8% and 73.5%. In terms of processor time, RL was more than five times as fast as HT.en
dc.format.mimetypeapplication/pdf
dc.identifier.citationBainbridge, D & Bell, T. (2006). Identifying music documents in a collection of images. In R. Dannenberg, K. Lemstrom & A. Tindale (Eds), Proceedings of ISMIR 2006, Seventh International Conference on Music Information Retrieval. Canada, University of Victoria, Victoria, Canada, 8-12 October, 2006 (pp.47-52). Victoria, Canada: University of Victoria.en
dc.identifier.urihttps://hdl.handle.net/10289/3903
dc.language.isoen
dc.publisherUniversity of Victoriaen_NZ
dc.relation.isPartOfProceedings of ISMIR 2006 - 7th International Conference on Music Information Retrievalen_NZ
dc.relation.urihttp://ismir2006.ismir.net/PAPERS/ISMIR06141_Paper.pdfen
dc.rightsThis article has been published in Proceedings of ISMIR 2006, Seventh International Conference on Music Information Retrieval. Canada, University of Victoria, Victoria, Canada, 8-12 October, 2006.en
dc.sourceISMIR 2006en_NZ
dc.subjectcomputer scienceen
dc.subjectOptical Music Recognitionen
dc.subjectOMRen
dc.subjectscore classificationen
dc.subjectmusic imageen
dc.titleIdentifying music documents in a collection of imagesen
dc.typeConference Contributionen
pubs.begin-page47en_NZ
pubs.elements-id17279
pubs.end-page52en_NZ
pubs.finish-date2006-10-12en_NZ
pubs.place-of-publicationCanadaen_NZ
pubs.start-date2006-10-08en_NZ
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
identifying music documents in a collection of images.pdf
Size:
163.58 KB
Format:
Adobe Portable Document Format
Thumbnail Image
Name: identifying music documents in a collection of images.pdf
Size: 163.58 KB
Kind: Adobe PDF
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.79 KB
Format:
Item-specific license agreed upon to submission
Description:
Name: license.txt
Size: 1.79 KB
Kind: License
Collections
Computing and Mathematical Sciences Papers