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