University of Canterbury Home
    • Admin
    UC Research Repository
    UC Library
    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    1. UC Home
    2. Library
    3. UC Research Repository
    4. Faculty of Engineering | Te Kaupeka Pūhanga
    5. Engineering: Reports
    6. View Item
    1. UC Home
    2.  > 
    3. Library
    4.  > 
    5. UC Research Repository
    6.  > 
    7. Faculty of Engineering | Te Kaupeka Pūhanga
    8.  > 
    9. Engineering: Reports
    10.  > 
    11. View Item

    Optical music recognition : feature identification (1995)

    Thumbnail
    View/Open
    Bainbridge_1995.pdf (1.135Mb)
    Type of Content
    Discussion / Working Papers
    UC Permalink
    http://hdl.handle.net/10092/11903
    
    Publisher
    University of Canterbury
    Collections
    • Engineering: Reports [740]
    Authors
    Bainbridge, D.
    show all
    Abstract

    Although it has been less than a year since the last progress report, work has reached a natural 'breakpoint' offering an opportunity to describe what has been accomplished as well as gathering thoughts on the future. For a broader picture of how the implemented work fits into the general design, the reader is directed towards [Bai94a], which describes a complete Optical Music Recognition system. Since it is possible for a piece of music to include arbitrary graphics1 , it is impossible to design an OMR system that can process all music. The key idea, therefore, expressed in [Bai94a] is to provide a versatile foundation that can be built upon by individual users to generate particular instances of the system capable of recognising a particular class of music notation. Such a philosophy is reminiscent of Computer Aided Design (CAD). Similar to this area, the user should be encouraged to utilise sound software engineering principles. The proposed system could be thought of as a Computer Aided Music Recognition (CAMR). The main body of this report describes the implemented work. The topics: staff separation; primitive identification; primitive data tabulation; drawing package development; prototype2 musical feature classifier extensions; and miscellaneous items are discussed in turn. The report concludes by reflecting on the completed work as well as contemplating how the remaining problems may be solved. Having the right development environment to study OMR is considered an important facet of work. Time throughout the project has been devoted to this. In addition to the topics listed in (Bai94b], time has recently been invested learning Perl ( a Practical Extraction and Report Language), Gofer ( a functional language), and Lime ( a music file format for graphical reconstruction). Developing Internet searching skills using 'whois', 'archie', 'gofer', and 'mosaic' has also proved invaluable. Finally, in lieu of the forth coming design of a musical knowledge expression language, time has been spent investigating the suitability of Lisp, Prolog and various public domain knowledge based systems. The excerpt of music shown in Figure 1 is a recurring example used, throughout this report, to illustrate various points.

    ANZSRC Fields of Research
    46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processing
    08 - Information and Computing Sciences::0801 - Artificial Intelligence and Image Processing::080104 - Computer Vision
    Rights
    All Rights Reserved
    https://canterbury.libguides.com/rights/theses

    Related items

    Showing items related by title, author, creator and subject.

    • Optical Music Recognition : Progress Report 1 

      Bainbridge, David (University of Canterbury. Computer Science and Software Engineering, 1994)
      The purpose of writing this report is to record and comment on the work done over the last year. The report will also summarise my main insights into the problem and outline future work. There were three main areas of ...
    • A complete optical music recognition system : looking to the future 

      Bainbridge, David (University of Canterbury. Computer Science and Software Engineering, 1994)
      Reading music is something a child can learn, and once understood, it becomes such a natural process that it is no longer a conscious effort. If we were to dissect this `natural process,' we might hypothesise that reading ...
    • Texture mapping system and method 

      Clark, Adrian (2018)
      Abstract: An aspect of the invention provides a texture mapping system configured to map texture to a three-dimensional model. The system includes a video renderer configured to render captured image data on a display to ...
    Advanced Search

    Browse

    All of the RepositoryCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThesis DisciplineThis CollectionBy Issue DateAuthorsTitlesSubjectsThesis Discipline

    Statistics

    View Usage Statistics
    • SUBMISSIONS
    • Research Outputs
    • UC Theses
    • CONTACTS
    • Send Feedback
    • +64 3 369 3853
    • ucresearchrepository@canterbury.ac.nz
    • ABOUT
    • UC Research Repository Guide
    • Copyright and Disclaimer
    • SUBMISSIONS
    • Research Outputs
    • UC Theses
    • CONTACTS
    • Send Feedback
    • +64 3 369 3853
    • ucresearchrepository@canterbury.ac.nz
    • ABOUT
    • UC Research Repository Guide
    • Copyright and Disclaimer