Avoiding staff removal stage in optical music recognition: application to scores written in white mensural notation
Empreu sempre aquest identificador per citar o enllaçar aquest ítem
http://hdl.handle.net/10045/58096
Títol: | Avoiding staff removal stage in optical music recognition: application to scores written in white mensural notation |
---|---|
Autors: | Calvo-Zaragoza, Jorge | Barbancho, Isabel | Tardón, Lorenzo J. | Barbancho, Ana M. |
Grups d'investigació o GITE: | Reconocimiento de Formas e Inteligencia Artificial |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Paraules clau: | Optical music recognition | Staff detection and removal | Ancient music | White mensural notation |
Àrees de coneixement: | Lenguajes y Sistemas Informáticos |
Data de publicació: | de novembre-2015 |
Editor: | Springer London |
Citació bibliogràfica: | Pattern Analysis and Applications. 2015, 18(4): 933-943. doi:10.1007/s10044-014-0415-5 |
Resum: | Staff detection and removal is one of the most important issues in optical music recognition (OMR) tasks since common approaches for symbol detection and classification are based on this process. Due to its complexity, staff detection and removal is often inaccurate, leading to a great number of errors in posterior stages. For this reason, a new approach that avoids this stage is proposed in this paper, which is expected to overcome these drawbacks. Our approach is put into practice in a case of study focused on scores written in white mensural notation. Symbol detection is performed by using the vertical projection of the staves. The cross-correlation operator for template matching is used at the classification stage. The goodness of our proposal is shown in an experiment in which our proposal attains an extraction rate of 96 % and a classification rate of 92 %, on average. The results found have reinforced the idea of pursuing a new research line in OMR systems without the need of the removal of staff lines. |
Patrocinadors: | This work has been funded by the Ministerio de Educación, Cultura y Deporte of the Spanish Government under a FPU Fellowship No. AP20120939, by the Ministerio de Economía y Competitividad of the Spanish Government under Project No. TIN2013-48152-C2-1-R and Project No. TIN2013-47276-C6-2-R, by the Consejería de Educación de la Comunidad Valenciana under Project No. PROMETEO/2012/017 and by the Junta de Andalucía under Project No. P11-TIC-7154. |
URI: | http://hdl.handle.net/10045/58096 |
ISSN: | 1433-7541 (Print) | 1433-755X (Online) |
DOI: | 10.1007/s10044-014-0415-5 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © Springer-Verlag London 2014. The final publication is available at Springer via http://dx.doi.org/10.1007/s10044-014-0415-5 |
Revisió científica: | si |
Versió de l'editor: | http://dx.doi.org/10.1007/s10044-014-0415-5 |
Apareix a la col·lecció: | INV - GRFIA - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
---|---|---|---|---|
2015_Calvo_etal_PatternAnalApplic_final.pdf | Versión final (acceso restringido) | 1,23 MB | Adobe PDF | Obrir Sol·licitar una còpia |
2015_Calvo_etal_PatternAnalApplic_preprint.pdf | Preprint (acceso abierto) | 5,06 MB | Adobe PDF | Obrir Vista prèvia |
Tots els documents dipositats a RUA estan protegits per drets d'autors. Alguns drets reservats.