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Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-88188-9_25
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dc.titleGenerating ground truthed dataset of chart images: Automatic or semi-automatic?
dc.contributor.authorHuang, W.
dc.contributor.authorTan, C.L.
dc.contributor.authorZhao, J.
dc.date.accessioned2013-07-04T08:08:14Z
dc.date.available2013-07-04T08:08:14Z
dc.date.issued2008
dc.identifier.citationHuang, W.,Tan, C.L.,Zhao, J. (2008). Generating ground truthed dataset of chart images: Automatic or semi-automatic?. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 5046 LNCS : 266-277. ScholarBank@NUS Repository. <a href="https://doi.org/10.1007/978-3-540-88188-9_25" target="_blank">https://doi.org/10.1007/978-3-540-88188-9_25</a>
dc.identifier.isbn3540881840
dc.identifier.issn03029743
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/40608
dc.description.abstractGround truthing tools mainly fall into two categories: automatic and semi-automatic. In this paper, we first discuss the pros and cons of the two approaches. We then report our own work on designing and implementing systems for generating a chart image dataset and multi-level ground truth data. Both semi-automatic and automatic approaches were adopted, resulting in two independent systems. The dataset as well as the ground truth data are publicly available so that other researchers can access them for evaluating and comparing performances of different systems. © 2008 Springer-Verlag Berlin Heidelberg.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1007/978-3-540-88188-9_25
dc.sourceScopus
dc.subjectGround truth generation
dc.subjectMaps and charts interpretation
dc.typeConference Paper
dc.contributor.departmentCOMPUTER SCIENCE
dc.description.doi10.1007/978-3-540-88188-9_25
dc.description.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.description.volume5046 LNCS
dc.description.page266-277
dc.identifier.isiutNOT_IN_WOS
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