The ICDAR 2013 Music Scores Competition: Staff Removal

Muriel Visani (1) , van Cuong Kieu (1, 2) , Alicia Fornés (3) , Nicholas Journet (2)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118
2 LaBRI - Laboratoire Bordelais de Recherche en Informatique
3 CVC

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.

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]; Base de données [cs.DB]; Performance et fiabilité [cs.PF]

Muriel Visani, van Cuong Kieu, Alicia Fornés, Nicholas Journet. The ICDAR 2013 Music Scores Competition: Staff Removal. The Twelfth International Conference on Document Analysis and Recognition, Aug 2013, United States. ⟨hal-01006096⟩