Duplicate detection in facsimile scans of early printed music

Christophe Rhodes; Tim Crawford; Mark D’Inverno

doi:10.1007/978-3-319-25226-1_38

Duplicate detection in facsimile scans of early printed music

Christophe Rhodes^*
, Tim Crawford
, Mark D’Inverno

^*Corresponding author for this work

Academy of Music

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

Abstract

There is a growing number of collections of readily available scanned musical documents, whether generated and managed by libraries, research projects, or volunteer efforts. They are typically digital images; for computational musicology we also need the musical data in machine-readable form. Optical Music Recognition (OMR) can be used on printed music, but is prone to error, depending on document condition and the quality of intermediate stages in the digitization process such as archival photographs. This work addresses the detection of one such error—duplication of images—and the discovery of other relationships between images in the process.

Original language	English
Title of host publication	Analysis of Large and Complex Data
Editors	Adalbert F.X. Wilhelm, Hans A. Kestler
Publisher	Springer Cham
Pages	449-459
Number of pages	11
Edition	1st
ISBN (Electronic)	9783319252261
ISBN (Print)	9783319252247
DOIs	https://doi.org/10.1007/978-3-319-25226-1_38
Publication status	Published - 3 Aug 2016
Event	2nd European Conference on Data Analysis, ECDA 2014 - Bremen, Germany Duration: 2 Jul 2014 → 4 Jul 2014 https://link.springer.com/book/10.1007/978-3-319-25226-1 (Conference proceedings) https://dblp.org/db/conf/ecda/ecda2014.html (Conference proceedings)

Publication series

Name	Studies in Classification, Data Analysis, and Knowledge Organization
ISSN (Print)	1431-8814
ISSN (Electronic)	2198-3321

Conference

Conference	2nd European Conference on Data Analysis, ECDA 2014
Country/Territory	Germany
City	Bremen
Period	2/07/14 → 4/07/14
Internet address	https://link.springer.com/book/10.1007/978-3-319-25226-1 (Conference proceedings) https://dblp.org/db/conf/ecda/ecda2014.html (Conference proceedings)

User-Defined Keywords

Musical Notation
Graphical Material
Mass Setting
Musical Content
Musical Data

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10.1007/978-3-319-25226-1_38

Cite this

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title = "Duplicate detection in facsimile scans of early printed music",

abstract = "There is a growing number of collections of readily available scanned musical documents, whether generated and managed by libraries, research projects, or volunteer efforts. They are typically digital images; for computational musicology we also need the musical data in machine-readable form. Optical Music Recognition (OMR) can be used on printed music, but is prone to error, depending on document condition and the quality of intermediate stages in the digitization process such as archival photographs. This work addresses the detection of one such error—duplication of images—and the discovery of other relationships between images in the process.",

keywords = "Musical Notation, Graphical Material, Mass Setting, Musical Content, Musical Data",

author = "Christophe Rhodes and Tim Crawford and Mark D{\textquoteright}Inverno",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 2nd European Conference on Data Analysis, ECDA 2014 ; Conference date: 02-07-2014 Through 04-07-2014",

year = "2016",

month = aug,

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doi = "10.1007/978-3-319-25226-1\_38",

language = "English",

isbn = "9783319252247",

series = "Studies in Classification, Data Analysis, and Knowledge Organization",

publisher = "Springer Cham",

pages = "449--459",

editor = "Wilhelm, \{Adalbert F.X.\} and Kestler, \{Hans A.\}",

booktitle = "Analysis of Large and Complex Data",

edition = "1st",

url = "https://link.springer.com/book/10.1007/978-3-319-25226-1, https://dblp.org/db/conf/ecda/ecda2014.html",

}

Rhodes, C, Crawford, T & D’Inverno, M 2016, Duplicate detection in facsimile scans of early printed music. in AFX Wilhelm & HA Kestler (eds), Analysis of Large and Complex Data. 1st edn, Studies in Classification, Data Analysis, and Knowledge Organization, Springer Cham, pp. 449-459, 2nd European Conference on Data Analysis, ECDA 2014, Bremen, Germany, 2/07/14. https://doi.org/10.1007/978-3-319-25226-1_38

Duplicate detection in facsimile scans of early printed music. / Rhodes, Christophe; Crawford, Tim; D’Inverno, Mark.
Analysis of Large and Complex Data. ed. / Adalbert F.X. Wilhelm; Hans A. Kestler. 1st. ed. Springer Cham, 2016. p. 449-459 (Studies in Classification, Data Analysis, and Knowledge Organization).

Research output: Chapter in book/report/conference proceeding › Conference proceeding › peer-review

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AU - D’Inverno, Mark

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Y1 - 2016/8/3

N2 - There is a growing number of collections of readily available scanned musical documents, whether generated and managed by libraries, research projects, or volunteer efforts. They are typically digital images; for computational musicology we also need the musical data in machine-readable form. Optical Music Recognition (OMR) can be used on printed music, but is prone to error, depending on document condition and the quality of intermediate stages in the digitization process such as archival photographs. This work addresses the detection of one such error—duplication of images—and the discovery of other relationships between images in the process.

AB - There is a growing number of collections of readily available scanned musical documents, whether generated and managed by libraries, research projects, or volunteer efforts. They are typically digital images; for computational musicology we also need the musical data in machine-readable form. Optical Music Recognition (OMR) can be used on printed music, but is prone to error, depending on document condition and the quality of intermediate stages in the digitization process such as archival photographs. This work addresses the detection of one such error—duplication of images—and the discovery of other relationships between images in the process.

KW - Musical Notation

KW - Graphical Material

KW - Mass Setting

KW - Musical Content

KW - Musical Data

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DO - 10.1007/978-3-319-25226-1_38

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AN - SCOPUS:84981503324

SN - 9783319252247

T3 - Studies in Classification, Data Analysis, and Knowledge Organization

SP - 449

EP - 459

BT - Analysis of Large and Complex Data

A2 - Wilhelm, Adalbert F.X.

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PB - Springer Cham

T2 - 2nd European Conference on Data Analysis, ECDA 2014

Y2 - 2 July 2014 through 4 July 2014

ER -

Duplicate detection in facsimile scans of early printed music

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