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Multi-task Layout Analysis of Handwritten Musical Scores

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Multi-task Layout Analysis of Handwritten Musical Scores

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dc.contributor.author Quirós, Lorenzo es_ES
dc.contributor.author Toselli, Alejandro Héctor es_ES
dc.contributor.author Vidal, Enrique es_ES
dc.date.accessioned 2022-02-25T07:42:55Z
dc.date.available 2022-02-25T07:42:55Z
dc.date.issued 2019-07-04 es_ES
dc.identifier.isbn 978-3-030-31332-6 es_ES
dc.identifier.issn 0302-9743 es_ES
dc.identifier.uri http://hdl.handle.net/10251/181061
dc.description.abstract [EN] Document Layout Analysis (DLA) is a process that must be performed before attempting to recognize the content of handwritten musical scores by a modern automatic or semiautomatic system. DLA should provide the segmentation of the document image into semantically useful region types such as staff, lyrics, etc. In this paper we extend our previous work for DLA of handwritten text documents to also address complex handwritten music scores. This system is able to perform region segmentation, region classification and baseline detection in an integrated manner. Several experiments were performed in two different datasets in order to validate this approach and assess it in different scenarios. Results show high accuracy in such complex manuscripts and very competent computational time, which is a good indicator of the scalability of the method for very large collections. es_ES
dc.description.sponsorship This work was partially supported by the Universitat Politecnica de Valencia under grant FPI-420II/899, a 2017-2018 Digital Humanities research grant of the BBVA Foundation for the project Carabela, the History Of Medieval Europe (HOME) project (Ref.: PCI2018-093122) and through the EU project READ (Horizon-2020 program, grant Ref. 674943). NVIDIA Corporation kindly donated the Titan X GPU used for this research. es_ES
dc.language Inglés es_ES
dc.publisher Springer es_ES
dc.relation.ispartof Pattern Recognition and Image Analysis. 9th Iberian Conference, IbPRIA 2019 es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Document Layout Analysis es_ES
dc.subject Text region detection and classification es_ES
dc.subject Semantic segmentation es_ES
dc.subject Music document processing es_ES
dc.subject Music score images es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.title Multi-task Layout Analysis of Handwritten Musical Scores es_ES
dc.type Comunicación en congreso es_ES
dc.type Artículo es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-030-31321-0_11 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/674943/EU/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/UPV//FPI-420II%2F899/ es_ES
dc.relation.projectID info:eu-repo/grantAgreement/AEI//PCI2018-093122//HOME- HISTORIA DE EUROPA MEDIEVAL/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.description.bibliographicCitation Quirós, L.; Toselli, AH.; Vidal, E. (2019). Multi-task Layout Analysis of Handwritten Musical Scores. Springer. 123-134. https://doi.org/10.1007/978-3-030-31321-0_11 es_ES
dc.description.accrualMethod S es_ES
dc.relation.conferencename 9th Iberian Conference on Pattern Recognition and Image Analysis (IbPRIA 2019) es_ES
dc.relation.conferencedate Julio 01-04,2019 es_ES
dc.relation.conferenceplace Madrid, Spain es_ES
dc.relation.publisherversion https://doi.org/10.1007/978-3-030-31321-0_11 es_ES
dc.description.upvformatpinicio 123 es_ES
dc.description.upvformatpfin 134 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela S\414784 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
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