Issues in Ground-Truthing Graphic Documents
Identifieur interne : 000126 ( Istex/Corpus ); précédent : 000125; suivant : 000127Issues in Ground-Truthing Graphic Documents
Auteurs : Daniel Lopresti ; George NagySource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2002.
Abstract
Abstract: We examine the nature of ground-truth: whether it is always well-defined for a given task, or only relative and approximate. In the conventional scenario, reference data is produced by recording the interpretation of each test document using a chosen data-entry platform. Looking a little more closely at this process, we study its constituents and their interrelations. We provide examples from the literature and from our own experiments where non-trivial problems with each of the components appear to preclude the possibility of real progress in evaluating automated graphics recognition systems, and propose possible solutions. More specifically, for documents with complex structure we recommend multi-valued, layered, weighted, functional ground-truth supported by model-guided reference data-entry systems and protocols. Mostly, however, we raise far more questions than we currently have answers for.
Url:
DOI: 10.1007/3-540-45868-9_5
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<affiliation>Lucent Technologies Inc., Bell Labs, 600 Mountain Ave. Room 2D-447, 07974, Murray Hill, NJ, USA</affiliation>
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<name type="personal"><namePart type="given">George</namePart>
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<affiliation>Rensselaer Polytechnic Institute Troy, Department of Electrical, Computer, and Systems Engineering, 12180, NY, USA</affiliation>
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<abstract lang="en">Abstract: We examine the nature of ground-truth: whether it is always well-defined for a given task, or only relative and approximate. In the conventional scenario, reference data is produced by recording the interpretation of each test document using a chosen data-entry platform. Looking a little more closely at this process, we study its constituents and their interrelations. We provide examples from the literature and from our own experiments where non-trivial problems with each of the components appear to preclude the possibility of real progress in evaluating automated graphics recognition systems, and propose possible solutions. More specifically, for documents with complex structure we recommend multi-valued, layered, weighted, functional ground-truth supported by model-guided reference data-entry systems and protocols. Mostly, however, we raise far more questions than we currently have answers for.</abstract>
<relatedItem type="host"><titleInfo><title>Graphics Recognition Algorithms and Applications</title>
<subTitle>4th International Workshop, GREC 2001 Kingston, Ontario, Canada, September 7–8, 2001 Selected Papers</subTitle>
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<name type="personal"><namePart type="given">Dorothea</namePart>
<namePart type="family">Blostein</namePart>
<affiliation>Computing and Information Science, Queen’s University, K7L 3N6, Kingston, Ontario, Canada</affiliation>
<affiliation>E-mail: blostein@cs.queensu.ca</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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<name type="personal"><namePart type="given">Young-Bin</namePart>
<namePart type="family">Kwon</namePart>
<affiliation>Department of Computer Engineering, Chung-Ang University, 156-756, Seoul, South Korea</affiliation>
<affiliation>E-mail: ybkwon@visionnet.cse.cau.ac.kr</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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<originInfo><copyrightDate encoding="w3cdtf">2002</copyrightDate>
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<topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I22013">Computer Graphics</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I17028">Discrete Mathematics in Computer Science</topic>
<topic authority="SpringerSubjectCodes" authorityURI="I16021">Algorithm Analysis and Problem Complexity</topic>
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<identifier type="DOI">10.1007/3-540-45868-9</identifier>
<identifier type="ISBN">978-3-540-44066-6</identifier>
<identifier type="eISBN">978-3-540-45868-5</identifier>
<identifier type="ISSN">0302-9743</identifier>
<identifier type="BookTitleID">72648</identifier>
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<part><date>2002</date>
<detail type="part"><title>Validation, User Interfaces</title>
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<detail type="volume"><number>2390</number>
<caption>vol.</caption>
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<extent unit="pages"><start>46</start>
<end>67</end>
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<relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title>
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<name type="personal"><namePart type="given">Gerhard</namePart>
<namePart type="family">Goos</namePart>
<affiliation>Karlsruhe University, Germany</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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<name type="personal"><namePart type="given">Juris</namePart>
<namePart type="family">Hartmanis</namePart>
<affiliation>Cornell University, NY, USA</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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<name type="personal"><namePart type="given">Jan</namePart>
<namePart type="family">van Leeuwen</namePart>
<affiliation>Utrecht University, The Netherlands</affiliation>
<role><roleTerm type="text">editor</roleTerm>
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