Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-540-88188-9_25
Title: Generating ground truthed dataset of chart images: Automatic or semi-automatic?
Authors: Huang, W. 
Tan, C.L. 
Zhao, J.
Keywords: Ground truth generation
Maps and charts interpretation
Issue Date: 2008
Source: Huang, 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. https://doi.org/10.1007/978-3-540-88188-9_25
Abstract: Ground 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.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/40608
ISBN: 3540881840
ISSN: 03029743
DOI: 10.1007/978-3-540-88188-9_25
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