DocumentCode :
3490302
Title :
ICDAR 2013 Music Scores Competition: Staff Removal
Author :
Visaniy, Muriel ; Kieu, V.C. ; Fornes, Alicia ; Journet, Nicholas
Author_Institution :
Lab. Inf., Image et Interaction - L3i, Univ. of La Rochelle, La Rochelle, France
fYear :
2013
fDate :
25-28 Aug. 2013
Firstpage :
1407
Lastpage :
1411
Abstract :
The first competition on music scores that was organized at ICDAR in 2011 awoke the interest of researchers, who participated both at staff removal and writer identification tasks. In this second edition, we focus on the staff removal task and simulate a real case scenario: old music scores. For this purpose, we have generated a new set of images using two kinds of degradations: local noise and 3D distortions. This paper describes the dataset, distortion methods, evaluation metrics, the participant´s methods and the obtained results.
Keywords :
image recognition; music; 3D distortions; ICDAR 2013 music scores competition; distortion methods; evaluation metrics; local noise; old music; staff removal; writer identification; Databases; Degradation; Educational institutions; Noise; Solid modeling; Three-dimensional displays; Training; Competition; Music Scores; Staff Removal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Document Analysis and Recognition (ICDAR), 2013 12th International Conference on
Conference_Location :
Washington, DC
ISSN :
1520-5363
Type :
conf
DOI :
10.1109/ICDAR.2013.284
Filename :
6628845
Link To Document :
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