DC Element
Wert
Sprache
dc.contributor.author
Kleber, Florian
-
dc.contributor.author
Diem, Markus
-
dc.contributor.author
Hollaus, Fabian
-
dc.contributor.author
Fiel, Stefan
-
dc.date.accessioned
2020-06-27T18:17:19Z
-
dc.date.issued
2017
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dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Kleber, F., Diem, M., Hollaus, F., &#38; Fiel, S. (2017). Mass Digitization of Archival Documents using Mobile Phones. In <i>HIP ’17 : Proceedings of the 4th International Workshop on Historical Document Imaging and Processing</i>. 4th International Workshop on Historical Document Imaging and Processing 2017, Kyoto, Japan. Association for Computing Machinery. https://doi.org/10.1145/3151509.3151526</div> </div>
-
dc.identifier.uri
https://resolver.obvsg.at/urn:nbn:at:at-ubtuw:3-3361
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/882
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dc.description
The final publication is available via <a href="https://doi.org/10.1145/3151509.3151526" target="_blank">https://doi.org/10.1145/3151509.3151526</a>.
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dc.description.abstract
Digital copies of historical documents are needed for the Digital Humanities. Currently, cameras of standard mobile phones are able to capture documents with a resolution of about 330 dpi for document sizes up to DIN A4 (German standard, 297 x 210 mm), which allows a digitization of documents using a standard device. Thus, scholars are able to take images of documents in archives themselves without the need of book scanners or other devices. This paper presents a scanning app, which comprises a real time page detection, quality assessment (focus measure) and an automated detection of a page turn over if books are scanned. Additionally, a portable device - the ScanTent - to place the mobile phone during scanning is presented. The page detection is evaluated on the ICDAR2015 SmartDoc competition dataset and shows a reliable page detection with an average Jaccard index of 75%.
en
dc.description.sponsorship
European Union's Horizon 2020
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dc.language
English
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dc.language.iso
en
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
ScanTent
en
dc.subject
Document Scanning
en
dc.subject
Page Detection
en
dc.subject
Pattern Recognition
en
dc.subject
Image Processing
en
dc.subject
Document Analysis
en
dc.title
Mass Digitization of Archival Documents using Mobile Phones
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.relation.isbn
9781450353908
-
dc.relation.grantno
674943
-
dc.rights.holder
2017 Copyright held by the owner/author(s). Publication rights licensed to Associa-tion for Computing Machinery
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dc.type.category
Full-Paper Contribution
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tuw.booktitle
HIP '17 : Proceedings of the 4th International Workshop on Historical Document Imaging and Processing
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tuw.relation.publisher
Association for Computing Machinery
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tuw.relation.publisherplace
New York
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tuw.version
am
-
tuw.publication.orgunit
E193 - Institut für Rechnergestützte Automation
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tuw.publisher.doi
10.1145/3151509.3151526
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dc.identifier.libraryid
AC11365319
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dc.description.numberOfPages
6
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dc.identifier.urn
urn:nbn:at:at-ubtuw:3-3361
-
tuw.author.orcid
0000-0001-8351-5066
-
tuw.author.orcid
0000-0002-5048-5128
-
tuw.author.orcid
0000-0002-5708-3666
-
tuw.author.orcid
0000-0001-5033-6723
-
dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
tuw.event.name
4th International Workshop on Historical Document Imaging and Processing 2017
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tuw.event.startdate
10-11-2017
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tuw.event.enddate
11-11-2017
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tuw.event.online
On Site
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tuw.event.type
Event for scientific audience
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tuw.event.place
Kyoto
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tuw.event.country
JP
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tuw.event.presenter
Kleber, Florian
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item.languageiso639-1
en
-
item.openairetype
conference paper
-
item.grantfulltext
open
-
item.fulltext
with Fulltext
-
item.cerifentitytype
Publications
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.openaccessfulltext
Open Access
-
crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
-
crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
-
crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
-
crisitem.author.dept
E193-01 - Forschungsbereich Computer Vision
-
crisitem.author.orcid
0000-0001-8351-5066
-
crisitem.author.orcid
0000-0002-5048-5128
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
crisitem.author.parentorg
E193 - Institut für Visual Computing and Human-Centered Technology
-
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