Ancient Music Recovery for Digital Libraries

  • J. Caldas Pinto
  • P. Vieira
  • M. Ramalho
  • M. Mengucci
  • P. Pina
  • F. Muge
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1923)

Abstract

The purpose of this paper is to present a description and current state of the “ROMA” (Reconhecimento Óptico de Música Antiga or Ancient Music Optical Recognition) Project that consists on building an application, for the recognition and restoration specialised in ancient music manuscripts (from XVI to XVIII century). This project, beyond the inventory of the Biblioteca Geral da Universidade de Coimbra musical funds aims to develop algorithms for scores restoration and musical symbols recognition in order to allow a suitable representation and restoration on digital format. Both objectives have an intrinsic research nature one in the area of musicology and other in digital libraries.

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References

  1. 1.
    F. Pépin, R. Randriamahefa, C. Fluhr, S. Philipp and J. P. Cocquerez, “Printed Music Recognition”, IEEE-2nd ICDAR, 1993Google Scholar
  2. 2.
    I. Leplumey, J. Camillerapp and G. Lorette, “A Robust Detector for Music Staves”, IEEE-2nd ICDAR, 1993Google Scholar
  3. 3.
    K. C. Ng and R. D. Boyle, “Segmentation of Music Primitives”, British Machine Vision Conference, 1992Google Scholar
  4. 4.
    S. N. Srilhari, S. W. Lam, V. Govindaraju, R. K. Srilhari and J. J. Hull, “Document Image Understanding”, Center of Excellence for Document Analysis and RecognitionGoogle Scholar
  5. 5.
    Kia C. Ng and Roger D. Boyle, “Recognition and reconstruction of primitives in music scores”, Image and Vision computing, 1994Google Scholar
  6. 6.
    David Bainbridge and Tim Bell, “An Extensible Optical Music Recognition system”, Ninetenth Australian Computer Science Conference, 1996Google Scholar
  7. 8.
    Christian Pellegrini, Mélanie Hilario and Marc Vuilleumier Stückelberg, “An Architecture for Musical Score Recognition using High-Level Domain Knowledge”, IEEE-4° ICDAR, 1997Google Scholar
  8. 9.
    Jean-Pierre Armand, “Musical Score Recognition: A Hierarchical and Recursive Approach”, IEEE-2° ICDAR, 1993Google Scholar
  9. 10.
    Jean Serra, “Image Analysis and Mathematical Morphology”, Academic Press, London, 1982.MATHGoogle Scholar
  10. 11.
    Pierre Soille, “Morphological Image Operators, Springer”, Berlin, 1999.Google Scholar
  11. 12.
    Michele Mengucci and Isabel Granado, “Morphological Segmentation of Text and Figures in Renaissance Books (XVI Century)”, to present at ISMM’2000 — 5th International Symposium on Mathematical Morphology and its Applications to Image and Signal Processing, Palo Alto, USA, June 2000.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • J. Caldas Pinto
    • 1
  • P. Vieira
    • 1
  • M. Ramalho
    • 1
  • M. Mengucci
    • 2
  • P. Pina
    • 2
  • F. Muge
    • 2
  1. 1.IDMEC/IST - Technical University of LisbonInstituto Superior TécnicoLisboaPORTUGAL
  2. 2.CVRM/Centro de Geo-SistemasInstituto Superior TécnicoLisboaPORTUGAL

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