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The architecture of TrueViz: a groundTRUthmetadata editing and VIsualiZing ToolKit

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dc.contributor.authorLee, Chang Ha-
dc.contributor.authorTapas Kanungo-
dc.date.accessioned2023-02-22T06:44:14Z-
dc.date.available2023-02-22T06:44:14Z-
dc.date.issued2003-03-
dc.identifier.issn0031-3203-
dc.identifier.issn1873-5142-
dc.identifier.urihttps://scholarworks.bwise.kr/cau/handle/2019.sw.cau/60862-
dc.description.abstractTools for visualizing and creating groundtruth and metadata are crucial for document image analysis research. In this paper we describe TrueViz (TRUEVIZ User's Manual, August 2000; Proceedings of the SPIE Conference on Document Recognition and Retrieval, San Jose, CA, 2001, pp. 1–12), which is a tool for visualizing and editing groundtruth/metadata. We first describe the groundtruthing task and the requirements for any interactive groundtruthing tool. Next we describe the system design of TrueViz and discuss how a user can use it to create groundtruth. TrueViz is implemented in the Java programming language and works on various platforms including Windows and Unix. TrueViz reads and stores groundtruth/metadata in XML format, and reads a corresponding image stored in TIFF image file format. Multilingual text editing, display, and search modules based on the Unicode representation for text are also provided. This software is being made available free of charge to researchers.-
dc.format.extent15-
dc.publisherPergamon Press-
dc.titleThe architecture of TrueViz: a groundTRUthmetadata editing and VIsualiZing ToolKit-
dc.typeArticle-
dc.identifier.doi10.1016/S0031-3203(02)00101-2-
dc.identifier.bibliographicCitationPattern Recognition, v.36, no.3, pp 811 - 825-
dc.description.isOpenAccessN-
dc.citation.endPage825-
dc.citation.number3-
dc.citation.startPage811-
dc.citation.titlePattern Recognition-
dc.citation.volume36-
dc.publisher.location영국-
dc.subject.keywordAuthorAnnotation-
dc.subject.keywordAuthorGroundtruth-
dc.subject.keywordAuthorVisualization-
dc.subject.keywordAuthorMultilingual-
dc.subject.keywordAuthorMultiplatform-
dc.subject.keywordAuthorJava-
dc.subject.keywordAuthorXML-
dc.subject.keywordAuthorOCR-
dc.description.journalRegisteredClassscopus-
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