Applying Preattentive Visual Guidance in Document Image Analysis
Identifieur interne : 003241 ( Istex/Corpus ); précédent : 003240; suivant : 003242Applying Preattentive Visual Guidance in Document Image Analysis
Auteurs : Di Wen ; Xiaoqing DingSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: In this paper, we present a novel methodology on document image analysis (DIA) which harnesses the mechanism of preattentive visual guidance in human vision. Summarizing the psychophysical discoveries on preattentive vision, we propose two types of computational simulations of this biological process: the visual similarity clustering and visual saliency detection, based on which we implement a novel biological plausible way to guide the interpretation of document images. Experimental results prove the efficiency of these two computational processes, whose outputs can be further utilized by other task-oriented DIA applications.
Url:
DOI: 10.1007/11821045_35
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ISTEX:F00B460E3B0A0C5D1EBC7504133A1350138BC589Le document en format XML
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Summarizing the psychophysical discoveries on preattentive vision, we propose two types of computational simulations of this biological process: the visual similarity clustering and visual saliency detection, based on which we implement a novel biological plausible way to guide the interpretation of document images. 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Science</OrgName><OrgAddress><City>Saarbruecken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-540-37598-2</BookID><BookTitle>Advances in Machine Vision, Image Processing, and Pattern Analysis</BookTitle><BookSubTitle>International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006 Xi’an, China, August 26-27, 2006 Proceedings</BookSubTitle><BookVolumeNumber>4153</BookVolumeNumber><BookSequenceNumber>4153</BookSequenceNumber><BookDOI>10.1007/11821045</BookDOI><BookTitleID>140899</BookTitleID><BookPrintISBN>978-3-540-37597-5</BookPrintISBN><BookElectronicISBN>978-3-540-37598-2</BookElectronicISBN><BookChapterCount>52</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin 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Robotics)</BookSubject><BookSubject Code="I16021" Priority="5" Type="Secondary">Algorithm Analysis and Problem Complexity</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Nanning</GivenName><FamilyName>Zheng</FamilyName></EditorName><Contact><Email>nnzheng@mail.xjtu.edu.cn</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Xiaoyi</GivenName><FamilyName>Jiang</FamilyName></EditorName><Contact><Email>xjiang@math.uni-muenster.de</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Xuguang</GivenName><FamilyName>Lan</FamilyName></EditorName><Contact><Email>xglan@aiar.xjtu.edu.cn</Email></Contact></Editor><Affiliation ID="Aff16"><OrgName>Xi’an Jiaotong University</OrgName><OrgAddress><Postcode>710049</Postcode><City>Xi’an</City><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Department of Mathematics and Computer Science</OrgDivision><OrgName>University of Münster</OrgName><OrgAddress><Street>Einsteinstrasse 62</Street><Postcode>D-48149</Postcode><City>Münster</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Institute of Artificial Intelligence and Robotics</OrgDivision><OrgName>Xi’an Jiaotong University</OrgName><OrgAddress><Street>Xianning West Road 28</Street><Postcode>710049</Postcode><City>Xi’an</City><Country>China</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part4"><PartInfo TocLevels="0"><PartID>4</PartID><PartSequenceNumber>4</PartSequenceNumber><PartTitle>Image Processing</PartTitle><PartChapterCount>15</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Machine Vision, Image Processing, and Pattern Analysis</BookTitle></PartContext></PartInfo><Chapter ID="Chap35" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>35</ChapterID><ChapterDOI>10.1007/11821045_35</ChapterDOI><ChapterSequenceNumber>35</ChapterSequenceNumber><ChapterTitle Language="En">Applying Preattentive Visual Guidance in Document Image Analysis</ChapterTitle><ChapterFirstPage>328</ChapterFirstPage><ChapterLastPage>338</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2006</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>4</PartID><BookID>978-3-540-37598-2</BookID><BookTitle>Advances in Machine Vision, Image Processing, and Pattern Analysis</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff19 Aff20"><AuthorName DisplayOrder="Western"><GivenName>Di</GivenName><FamilyName>Wen</FamilyName></AuthorName><Contact><Email>wendi@ocrserv.ee.tsinghua.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff19 Aff20"><AuthorName DisplayOrder="Western"><GivenName>Xiaoqing</GivenName><FamilyName>Ding</FamilyName></AuthorName><Contact><Email>dxq@ocrserv.ee.tsinghua.edu.cn</Email></Contact></Author><Affiliation ID="Aff19"><OrgDivision>Department of Electronic Engineering</OrgDivision><OrgName>Tsinghua University</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgName>State Key Laboratory of Intelligent Technology and Systems</OrgName><OrgAddress><City>Beijing</City><Postcode>100084</Postcode><Country>P.R. China</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>In this paper, we present a novel methodology on document image analysis (DIA) which harnesses the mechanism of preattentive visual guidance in human vision. Summarizing the psychophysical discoveries on preattentive vision, we propose two types of computational simulations of this biological process: the visual similarity clustering and visual saliency detection, based on which we implement a novel biological plausible way to guide the interpretation of document images. Experimental results prove the efficiency of these two computational processes, whose outputs can be further utilized by other task-oriented DIA applications.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Document image analysis</Keyword><Keyword>preattentive visual guidance</Keyword><Keyword>texture synthesis</Keyword><Keyword>dynamic clustering</Keyword><Keyword>visual saliency</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Applying Preattentive Visual Guidance in Document Image Analysis</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Applying Preattentive Visual Guidance in Document Image Analysis</title></titleInfo><name type="personal"><namePart type="given">Di</namePart><namePart type="family">Wen</namePart><affiliation>Department of Electronic Engineering, Tsinghua University</affiliation><affiliation>State Key Laboratory of Intelligent Technology and Systems, 100084, Beijing, P.R. China</affiliation><affiliation>E-mail: wendi@ocrserv.ee.tsinghua.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xiaoqing</namePart><namePart type="family">Ding</namePart><affiliation>Department of Electronic Engineering, Tsinghua University</affiliation><affiliation>State Key Laboratory of Intelligent Technology and Systems, 100084, Beijing, P.R. China</affiliation><affiliation>E-mail: dxq@ocrserv.ee.tsinghua.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2006</dateIssued><copyrightDate encoding="w3cdtf">2006</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: In this paper, we present a novel methodology on document image analysis (DIA) which harnesses the mechanism of preattentive visual guidance in human vision. Summarizing the psychophysical discoveries on preattentive vision, we propose two types of computational simulations of this biological process: the visual similarity clustering and visual saliency detection, based on which we implement a novel biological plausible way to guide the interpretation of document images. Experimental results prove the efficiency of these two computational processes, whose outputs can be further utilized by other task-oriented DIA applications.</abstract><relatedItem type="host"><titleInfo><title>Advances in Machine Vision, Image Processing, and Pattern Analysis</title><subTitle>International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006 Xi’an, China, August 26-27, 2006 Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Nanning</namePart><namePart type="family">Zheng</namePart><affiliation>Xi’an Jiaotong University, 710049, Xi’an, China</affiliation><affiliation>E-mail: nnzheng@mail.xjtu.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Xiaoyi</namePart><namePart type="family">Jiang</namePart><affiliation>Department of Mathematics and Computer Science, University of Münster, Einsteinstrasse 62, D-48149, Münster, Germany</affiliation><affiliation>E-mail: xjiang@math.uni-muenster.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Xuguang</namePart><namePart type="family">Lan</namePart><affiliation>Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xianning West Road 28, 710049, Xi’an, China</affiliation><affiliation>E-mail: xglan@aiar.xjtu.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2006</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I22005">Computer Imaging, Vision, Pattern Recognition and Graphics</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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