Using diagram generation software to improve diagram recognition: acase study of music notation
Blostein, D.
Haken, L.
Dept. of Comput. & Inf. Sci., Queen's Univ., Kingston, Ont.;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Nov 1999
Volume: 21,
Issue: 11
On page(s): 1121-1136
ISSN: 0162-8828
References Cited: 48
CODEN: ITPIDJ
INSPEC Accession Number: 6446091
Digital Object Identifier: 10.1109/34.809106
Current Version Published: 2002-08-06
Abstract
Diagrams are widely used in society to transmit information such
as circuit designs, music, mathematical formulae, architectural plans,
and molecular structure. Computers must process diagrams both as images
(marks on paper) and as information. A diagram recognizer translates
from image to information and a diagram generator translates from
information to image. Current technology for diagram generation is ahead
of the technology for diagram recognition. Diagram generators have
extensive knowledge of notational conventions which relate to
readability and aesthetics, whereas current diagram recognizers focus on
the hard constraints of the notation. To create a recognizer capable of
exploiting layout information, it is expedient to reuse the expertise in
existing diagram generators. In particular, we discuss the use of Lime
(our editor and generator for music notation) to proofread and correct
the raw output of MIDIScan (a third-party commercial recognizer for
music notation). Over the past several years, this combination of
software has been distributed to thousands of users
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