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Global constraints for syntactic consistency in omr: an ongoing approach

Bibliographic Details
Main Author: Rebelo, Ana
Publication Date: 2013
Other Authors: Marcal, Andre R. S., Cardoso, Jaime S.
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/11328/2480
https://doi.org/10.1007/978-3-642-39094-4_84
Summary: Optical Music Recognition (OMR) systems are an indispensable tool to transform the paper-based music scores and manuscripts into a machine-readable symbolic format. A system like this potentiates search, retrieval and analysis. One of the problematic stages is the musical symbols detection where operations to localize and to isolate musical objects are developed. The complexity is caused by printing and digitalization, as well as the paper degradation over time. Distortions inherent in staff lines, broken, connected and overlapping symbols, differences in sizes and shapes, noise, and zones of high density of symbols is even worst when we are dealing with handwritten music scores. In this paper the exploration of an optimization approach to support semantic and syntactic consistency after the music symbols extraction phase is proposed. The inclusion of this ongoing technique can lead to better results and encourage further experiences in the field of handwritten music scores recognition.
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spelling Global constraints for syntactic consistency in omr: an ongoing approachComputer visionImage processingOptical music recognitionOptical Music Recognition (OMR) systems are an indispensable tool to transform the paper-based music scores and manuscripts into a machine-readable symbolic format. A system like this potentiates search, retrieval and analysis. One of the problematic stages is the musical symbols detection where operations to localize and to isolate musical objects are developed. The complexity is caused by printing and digitalization, as well as the paper degradation over time. Distortions inherent in staff lines, broken, connected and overlapping symbols, differences in sizes and shapes, noise, and zones of high density of symbols is even worst when we are dealing with handwritten music scores. In this paper the exploration of an optimization approach to support semantic and syntactic consistency after the music symbols extraction phase is proposed. The inclusion of this ongoing technique can lead to better results and encourage further experiences in the field of handwritten music scores recognition.Springer2018-12-11T17:12:38Z2018-12-112013-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfRebelo, A., Marcal, A., & Cardoso, J. S. (2013). Global constraints for syntactic consistency in omr: an ongoing approach. In Kamel M., Campilho A. (eds), International Conference on Image Analysis and Recognition (ICIAR 2013): Image Analysis and Recognition. Lecture Notes in Computer Science (vol. 7950, pp. 734-741). Springer, Berlin, Heidelberg. Disponível no Repositório UPT, http://hdl.handle.net/11328/2480http://hdl.handle.net/11328/2480Rebelo, A., Marcal, A., & Cardoso, J. S. (2013). Global constraints for syntactic consistency in omr: an ongoing approach. In Kamel M., Campilho A. (eds), International Conference on Image Analysis and Recognition (ICIAR 2013): Image Analysis and Recognition. Lecture Notes in Computer Science (vol. 7950, pp. 734-741). Springer, Berlin, Heidelberg. Disponível no Repositório UPT, http://hdl.handle.net/11328/2480http://hdl.handle.net/11328/2480https://doi.org/10.1007/978-3-642-39094-4_84eng978-3-642-39094-4978-3-642-39093-7https://link.springer.com/chapter/10.1007/978-3-642-39094-4_84http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessRebelo, AnaMarcal, Andre R. S.Cardoso, Jaime S.reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-01-09T02:07:54Zoai:repositorio.upt.pt:11328/2480Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T19:28:08.416244Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Global constraints for syntactic consistency in omr: an ongoing approach
title Global constraints for syntactic consistency in omr: an ongoing approach
spellingShingle Global constraints for syntactic consistency in omr: an ongoing approach
Rebelo, Ana
Computer vision
Image processing
Optical music recognition
title_short Global constraints for syntactic consistency in omr: an ongoing approach
title_full Global constraints for syntactic consistency in omr: an ongoing approach
title_fullStr Global constraints for syntactic consistency in omr: an ongoing approach
title_full_unstemmed Global constraints for syntactic consistency in omr: an ongoing approach
title_sort Global constraints for syntactic consistency in omr: an ongoing approach
author Rebelo, Ana
author_facet Rebelo, Ana
Marcal, Andre R. S.
Cardoso, Jaime S.
author_role author
author2 Marcal, Andre R. S.
Cardoso, Jaime S.
author2_role author
author
dc.contributor.author.fl_str_mv Rebelo, Ana
Marcal, Andre R. S.
Cardoso, Jaime S.
dc.subject.por.fl_str_mv Computer vision
Image processing
Optical music recognition
topic Computer vision
Image processing
Optical music recognition
description Optical Music Recognition (OMR) systems are an indispensable tool to transform the paper-based music scores and manuscripts into a machine-readable symbolic format. A system like this potentiates search, retrieval and analysis. One of the problematic stages is the musical symbols detection where operations to localize and to isolate musical objects are developed. The complexity is caused by printing and digitalization, as well as the paper degradation over time. Distortions inherent in staff lines, broken, connected and overlapping symbols, differences in sizes and shapes, noise, and zones of high density of symbols is even worst when we are dealing with handwritten music scores. In this paper the exploration of an optimization approach to support semantic and syntactic consistency after the music symbols extraction phase is proposed. The inclusion of this ongoing technique can lead to better results and encourage further experiences in the field of handwritten music scores recognition.
publishDate 2013
dc.date.none.fl_str_mv 2013-01-01T00:00:00Z
2018-12-11T17:12:38Z
2018-12-11
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv Rebelo, A., Marcal, A., & Cardoso, J. S. (2013). Global constraints for syntactic consistency in omr: an ongoing approach. In Kamel M., Campilho A. (eds), International Conference on Image Analysis and Recognition (ICIAR 2013): Image Analysis and Recognition. Lecture Notes in Computer Science (vol. 7950, pp. 734-741). Springer, Berlin, Heidelberg. Disponível no Repositório UPT, http://hdl.handle.net/11328/2480
http://hdl.handle.net/11328/2480
Rebelo, A., Marcal, A., & Cardoso, J. S. (2013). Global constraints for syntactic consistency in omr: an ongoing approach. In Kamel M., Campilho A. (eds), International Conference on Image Analysis and Recognition (ICIAR 2013): Image Analysis and Recognition. Lecture Notes in Computer Science (vol. 7950, pp. 734-741). Springer, Berlin, Heidelberg. Disponível no Repositório UPT, http://hdl.handle.net/11328/2480
http://hdl.handle.net/11328/2480
https://doi.org/10.1007/978-3-642-39094-4_84
identifier_str_mv Rebelo, A., Marcal, A., & Cardoso, J. S. (2013). Global constraints for syntactic consistency in omr: an ongoing approach. In Kamel M., Campilho A. (eds), International Conference on Image Analysis and Recognition (ICIAR 2013): Image Analysis and Recognition. Lecture Notes in Computer Science (vol. 7950, pp. 734-741). Springer, Berlin, Heidelberg. Disponível no Repositório UPT, http://hdl.handle.net/11328/2480
url http://hdl.handle.net/11328/2480
https://doi.org/10.1007/978-3-642-39094-4_84
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-3-642-39094-4
978-3-642-39093-7
https://link.springer.com/chapter/10.1007/978-3-642-39094-4_84
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dc.publisher.none.fl_str_mv Springer
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