• 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