The ICDAR 2013 Music Scores Competition: Staff Removal

نویسندگان

  • Muriel Visani
  • V. C Kieu
  • Alicia Fornés
  • Nicholas Journet
چکیده

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-Competition, Music Scores, Staff Removal.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

The ICDAR/GREC 2013 Music Scores Competition: Staff Removal

The first competition on music scores that was organized at ICDAR and GREC in 2011 awoke the interest of researchers, who participated in both staff removal and writer identification tasks. In this second edition, we focus on the staff removal task and simulate a real case scenario: old and degraded music scores. For this purpose, we have generated a new set of images using two degradations: lo...

متن کامل

Effective staff line detection, restoration and removal approach for different quality of scanned handwritten music sheets

Musical staff detection and removal is one of the most important preprocessing steps of an Optical Music Recognition (OMR) system. This paper proposes a new method for detecting and restoring staff lines from global information of music sheets. First of all the location of staff lines is determined. Therefore, music staff is sliced. The staff line segments are recognized at each slice and then ...

متن کامل

Staff line Removal using Generative Adversarial Networks

Staff line removal is a crucial pre-processing step in Optical Music Recognition. It is a challenging task to simultaneously reduce the noise and also retain the quality of music symbol context in ancient degraded music score images. In this paper we propose a novel approach for staff line removal, based on Generative Adversarial Networks. We convert staff line images into patches and feed them...

متن کامل

Projection based Segmentation of Musical Sheets

The automatic recognition of music scores is a key process for the electronic treatment of music information. In this paper, we present the segmentation module of an OMR system. The proposed approach is based on the use of projection profiles for the location of elementary symbols that constitute the music notation. An extensive experimentation was made with the help of a tool developed to this...

متن کامل

Staff Line Detection and Removal with Stable Paths

Many music works produced in the past are currently available only as original manuscripts or as photocopies. Preserving them entails their digitalization and consequent accessibility in a machine-readable format, which encourages browsing, retrieval, search and analysis while providing a generalized access to the digital material. Carrying this task manually is very time consuming and error pr...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013