The ICDAR 2013 Music Scores Competition: Staff Removal

Muriel Visani (1) , van Cuong Kieu (2) , Alicia Fornés (3) , Nicholas Journet (4)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118
2 IDDC
3 CVC - Computer Vision Center (Centre de visio per computador)
4 LaBRI - Laboratoire Bordelais de Recherche en Informatique

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.

Mots clés: Semi-synthetic old document generation; document image analysis; staff removal from musical scores

Domaines: Vision par ordinateur et reconnaissance de formes [cs.CV]

Muriel Visani, van Cuong Kieu, Alicia Fornés, Nicholas Journet. The ICDAR 2013 Music Scores Competition: Staff Removal. International Conference on Document Analysis and Recognition (ICDAR 2013), Aug 2013, Washington DC, United States. pp.1439-1443. ⟨hal-00859333⟩