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2014 | OriginalPaper | Chapter

The ICDAR/GREC 2013 Music Scores Competition: Staff Removal

Authors : Alicia Fornés, Van Cuong Kieu, Muriel Visani, Nicholas Journet, Anjan Dutta

Published in: Graphics Recognition. Current Trends and Challenges

Publisher: Springer Berlin Heidelberg

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Abstract

The first competition on music scores that was organized at ICDAR and GREC in 2011 awoke the interest of researchers, who participated in both staff removal and writer identification tasks. In this second edition, we focus on the staff removal task and simulate a real case scenario concerning old and degraded music scores. For this purpose, we have generated a new set of semi-synthetic images using two degradation models that we previously introduced: local noise and 3D distortions. In this extended paper we provide an extended description of the dataset, degradation models, evaluation metrics, the participant’s methods and the obtained results that could not be presented at ICDAR and GREC proceedings due to page limitations.

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previous chapter Improved Contour-Based Corner Detection for Architectural Floor Plans

next chapter Interpretation, Evaluation and the Semantic Gap ... What if We Were on a Side-Track?

Available at http://www.cvc.uab.es/cvcmuscima/

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Title: The ICDAR/GREC 2013 Music Scores Competition: Staff Removal
Authors: Alicia Fornés
Van Cuong Kieu
Muriel Visani
Nicholas Journet
Anjan Dutta
Publisher: Springer Berlin Heidelberg
Book: Graphics Recognition. Current Trends and Challenges
Print ISBN: 978-3-662-44853-3

Electronic ISBN: 978-3-662-44854-0

Copyright Year: 2014
DOI: https://doi.org/10.1007/978-3-662-44854-0_16

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