An Automatic Video Text Detection, Localization and Extraction Approach
Identifieur interne : 000229 ( Istex/Corpus ); précédent : 000228; suivant : 000230An Automatic Video Text Detection, Localization and Extraction Approach
Auteurs : Chengjun Zhu ; Yuanxin Ouyang ; Lei Gao ; Zhenyong Chen ; Zhang XiongSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: Text in video is a very compact and accurate clue for video indexing and summarization. This paper presents an algorithm regarding word group as a special symbol to detect, localize and extract video text using support vector machine (SVM) automatically. First, four sobel operators are applied to get the EM(edge map) of the video frame and the EM is segmented into N×2N size blocks. Then character features and characters group structure features are extracted to construct a 19-dimension feature vector. We use a pre-trained SVM to partition each block into two classes: text and non-text blocks. Secondly a dilatation-shrink process is employed to adjust the text position. Finally text regions are enhanced by multiple frame information. After binarization of enhanced text region, the text region with clean background is recognized by OCR software. Experimental results show that the proposed method can detect, localize, and extract video texts with high accuracy.
Url:
DOI: 10.1007/978-3-642-01350-8_1
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Zhu</name><affiliation><mods:affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: zhucj@cse.buaa.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Ouyang, Yuanxin" sort="Ouyang, Yuanxin" uniqKey="Ouyang Y" first="Yuanxin" last="Ouyang">Yuanxin Ouyang</name><affiliation><mods:affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: oyyx@buaa.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Gao, Lei" sort="Gao, Lei" uniqKey="Gao L" first="Lei" last="Gao">Lei Gao</name><affiliation><mods:affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: gaol@cse.buaa.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Chen, Zhenyong" sort="Chen, Zhenyong" uniqKey="Chen Z" first="Zhenyong" last="Chen">Zhenyong Chen</name><affiliation><mods:affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: chzhyong@buaa.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Xiong, Zhang" sort="Xiong, Zhang" uniqKey="Xiong Z" first="Zhang" last="Xiong">Zhang Xiong</name><affiliation><mods:affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: xiongz@buaa.edu.cn</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2009</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">D7BE73F548C8DA59A7383DA67FF544008E430728</idno><idno type="DOI">10.1007/978-3-642-01350-8_1</idno><idno type="ChapterID">1</idno><idno type="ChapterID">Chap1</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Text in video is a very compact and accurate clue for video indexing and summarization. This paper presents an algorithm regarding word group as a special symbol to detect, localize and extract video text using support vector machine (SVM) automatically. First, four sobel operators are applied to get the EM(edge map) of the video frame and the EM is segmented into N×2N size blocks. Then character features and characters group structure features are extracted to construct a 19-dimension feature vector. We use a pre-trained SVM to partition each block into two classes: text and non-text blocks. Secondly a dilatation-shrink process is employed to adjust the text position. Finally text regions are enhanced by multiple frame information. After binarization of enhanced text region, the text region with clean background is recognized by OCR software. Experimental results show that the proposed method can detect, localize, and extract video texts with high accuracy.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Chengjun Zhu</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</json:string><json:string>E-mail: zhucj@cse.buaa.edu.cn</json:string></affiliations></json:item><json:item><name>Yuanxin Ouyang</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</json:string><json:string>E-mail: oyyx@buaa.edu.cn</json:string></affiliations></json:item><json:item><name>Lei Gao</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</json:string><json:string>E-mail: gaol@cse.buaa.edu.cn</json:string></affiliations></json:item><json:item><name>Zhenyong Chen</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</json:string><json:string>E-mail: chzhyong@buaa.edu.cn</json:string></affiliations></json:item><json:item><name>Zhang Xiong</name><affiliations><json:string>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</json:string><json:string>E-mail: xiongz@buaa.edu.cn</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: Text in video is a very compact and accurate clue for video indexing and summarization. This paper presents an algorithm regarding word group as a special symbol to detect, localize and extract video text using support vector machine (SVM) automatically. First, four sobel operators are applied to get the EM(edge map) of the video frame and the EM is segmented into N×2N size blocks. Then character features and characters group structure features are extracted to construct a 19-dimension feature vector. We use a pre-trained SVM to partition each block into two classes: text and non-text blocks. Secondly a dilatation-shrink process is employed to adjust the text position. Finally text regions are enhanced by multiple frame information. After binarization of enhanced text region, the text region with clean background is recognized by OCR software. 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type="first">Yuanxin</forename><surname>Ouyang</surname></persName><email>oyyx@buaa.edu.cn</email><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</affiliation></author><author><persName><forename type="first">Lei</forename><surname>Gao</surname></persName><email>gaol@cse.buaa.edu.cn</email><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</affiliation></author><author><persName><forename type="first">Zhenyong</forename><surname>Chen</surname></persName><email>chzhyong@buaa.edu.cn</email><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</affiliation></author><author><persName><forename type="first">Zhang</forename><surname>Xiong</surname></persName><email>xiongz@buaa.edu.cn</email><affiliation>School of Computer Science and 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type="first">Friedemann</forename><surname>Mattern</surname></persName><affiliation>ETH Zurich, Zurich, Switzerland</affiliation></editor><editor><persName><forename type="first">John</forename><forename type="first">C.</forename><surname>Mitchell</surname></persName><affiliation>Stanford University, Stanford, CA, USA</affiliation></editor><editor><persName><forename type="first">Moni</forename><surname>Naor</surname></persName><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation></editor><editor><persName><forename type="first">Oscar</forename><surname>Nierstrasz</surname></persName><affiliation>University of Bern, Bern, Switzerland</affiliation></editor><editor><persName><forename type="first">C.</forename><surname>Pandu Rangan</surname></persName><affiliation>Indian Institute of Technology, Madras, India</affiliation></editor><editor><persName><forename type="first">Bernhard</forename><surname>Steffen</surname></persName><affiliation>University of Dortmund, Dortmund, Germany</affiliation></editor><editor><persName><forename type="first">Madhu</forename><surname>Sudan</surname></persName><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation></editor><editor><persName><forename type="first">Demetri</forename><surname>Terzopoulos</surname></persName><affiliation>University of California, Los Angeles, CA, USA</affiliation></editor><editor><persName><forename type="first">Doug</forename><surname>Tygar</surname></persName><affiliation>University of California, Berkeley, CA, USA</affiliation></editor><editor><persName><forename type="first">Moshe</forename><forename type="first">Y.</forename><surname>Vardi</surname></persName><affiliation>Rice University, Houston, TX, USA</affiliation></editor><editor><persName><forename type="first">Gerhard</forename><surname>Weikum</surname></persName><affiliation>Max-Planck Institute of Computer Science, Saarbrücken, Germany</affiliation></editor><biblScope><date>2009</date></biblScope><biblScope unit="volume">I</biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesId">558</idno></series><idno type="istex">D7BE73F548C8DA59A7383DA67FF544008E430728</idno><idno type="DOI">10.1007/978-3-642-01350-8_1</idno><idno type="ChapterID">1</idno><idno type="ChapterID">Chap1</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2009</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: Text in video is a very compact and accurate clue for video indexing and summarization. This paper presents an algorithm regarding word group as a special symbol to detect, localize and extract video text using support vector machine (SVM) automatically. First, four sobel operators are applied to get the EM(edge map) of the video frame and the EM is segmented into N×2N size blocks. Then character features and characters group structure features are extracted to construct a 19-dimension feature vector. We use a pre-trained SVM to partition each block into two classes: text and non-text blocks. Secondly a dilatation-shrink process is employed to adjust the text position. Finally text regions are enhanced by multiple frame information. After binarization of enhanced text region, the text region with clean background is recognized by OCR software. Experimental results show that the proposed method can detect, localize, and extract video texts with high accuracy.</p></abstract><textClass><keywords scheme="Book Subject Collection"><list><label>SUCO11645</label><item><term>Computer Science</term></item></list></keywords></textClass><textClass><keywords scheme="Book Subject Group"><list><label>I</label><label>I18040</label><label>I18030</label><label>I18024</label><label>I13022</label><label>I18059</label><label>I21017</label><item><term>Computer Science</term></item><item><term>Information Systems Applications (incl.Internet)</term></item><item><term>Data Mining and Knowledge Discovery</term></item><item><term>Database Management</term></item><item><term>Computer Communication Networks</term></item><item><term>Multimedia Information Systems</term></item><item><term>Artificial Intelligence (incl. 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TocLevels="0"><SeriesID>558</SeriesID><SeriesPrintISSN>0302-9743</SeriesPrintISSN><SeriesElectronicISSN>1611-3349</SeriesElectronicISSN><SeriesTitle Language="En">Lecture Notes in Computer Science</SeriesTitle></SeriesInfo><SeriesHeader><EditorGroup><Editor AffiliationIDS="Aff1"><EditorName DisplayOrder="Western"><GivenName>David</GivenName><FamilyName>Hutchison</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff2"><EditorName DisplayOrder="Western"><GivenName>Takeo</GivenName><FamilyName>Kanade</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff3"><EditorName DisplayOrder="Western"><GivenName>Josef</GivenName><FamilyName>Kittler</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff4"><EditorName DisplayOrder="Western"><GivenName>Jon</GivenName><GivenName>M.</GivenName><FamilyName>Kleinberg</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff5"><EditorName 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DisplayOrder="Western"><GivenName>Madhu</GivenName><FamilyName>Sudan</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff12"><EditorName DisplayOrder="Western"><GivenName>Demetri</GivenName><FamilyName>Terzopoulos</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff13"><EditorName DisplayOrder="Western"><GivenName>Doug</GivenName><FamilyName>Tygar</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff14"><EditorName DisplayOrder="Western"><GivenName>Moshe</GivenName><GivenName>Y.</GivenName><FamilyName>Vardi</FamilyName></EditorName></Editor><Editor AffiliationIDS="Aff15"><EditorName DisplayOrder="Western"><GivenName>Gerhard</GivenName><FamilyName>Weikum</FamilyName></EditorName></Editor><Affiliation ID="Aff1"><OrgName>Lancaster University</OrgName><OrgAddress><City>Lancaster</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff2"><OrgName>Carnegie Mellon University</OrgName><OrgAddress><City>Pittsburgh</City><State>PA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff3"><OrgName>University of Surrey</OrgName><OrgAddress><City>Guildford</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff4"><OrgName>Cornell University</OrgName><OrgAddress><City>Ithaca</City><State>NY</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff5"><OrgName>ETH Zurich</OrgName><OrgAddress><City>Zurich</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff6"><OrgName>Stanford University</OrgName><OrgAddress><City>Stanford</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff7"><OrgName>Weizmann Institute of Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingStyle="Unnumbered" OutputMedium="All" TocLevels="0"><BookID>978-3-642-01350-8</BookID><BookTitle>Advanced Internet Based Systems and Applications</BookTitle><BookSubTitle>Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, Tunisia, December 17-21, 2006, Revised Selected Papers</BookSubTitle><BookVolumeNumber>4879</BookVolumeNumber><BookSequenceNumber>4879</BookSequenceNumber><BookDOI>10.1007/978-3-642-01350-8</BookDOI><BookTitleID>187561</BookTitleID><BookPrintISBN>978-3-642-01349-2</BookPrintISBN><BookElectronicISBN>978-3-642-01350-8</BookElectronicISBN><BookChapterCount>33</BookChapterCount><BookCopyright><CopyrightHolderName>Springer Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18040" Priority="1" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18030" Priority="2" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I18024" Priority="3" Type="Secondary">Database Management</BookSubject><BookSubject Code="I13022" Priority="4" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I18059" Priority="5" Type="Secondary">Multimedia Information Systems</BookSubject><BookSubject Code="I21017" Priority="6" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Ernesto</GivenName><FamilyName>Damiani</FamilyName></EditorName><Contact><Email>damiani@dti.unimi.it</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Kokou</GivenName><FamilyName>Yetongnon</FamilyName></EditorName><Contact><Email>kokou.yetongnon@u-bourgogne.fr</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Richard</GivenName><FamilyName>Chbeir</FamilyName></EditorName><Contact><Email>richard.chbeir@u-bourgogne.fr</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Albert</GivenName><FamilyName>Dipanda</FamilyName></EditorName><Contact><Email>adipanda@u-bourgogne.fr</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Dipartemento Tecnologie dell’Informazione</OrgDivision><OrgName>Universitá degli Studi di Milano</OrgName><OrgAddress><Street>Via Bramante 65</Street><Postcode>26013</Postcode><City>Crema</City><Country>Italy</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>LE2I-CNRS</OrgDivision><OrgName>Université de Bourgogne</OrgName><OrgAddress><Street>Aile de l’Ingénieur</Street><Postcode>21078</Postcode><City>Dijon Cedex</City><Country>France</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartNumber>I</PartNumber><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Query Languages and Information Retrieval</PartTitle><PartChapterCount>7</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advanced Internet Based Systems and Applications</BookTitle></PartContext></PartInfo><Chapter ID="Chap1" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingStyle="Unnumbered" TocLevels="0"><ChapterID>1</ChapterID><ChapterDOI>10.1007/978-3-642-01350-8_1</ChapterDOI><ChapterSequenceNumber>1</ChapterSequenceNumber><ChapterTitle Language="En">An Automatic Video Text Detection, Localization and Extraction Approach</ChapterTitle><ChapterFirstPage>1</ChapterFirstPage><ChapterLastPage>9</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2009</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>1</PartID><BookID>978-3-642-01350-8</BookID><BookTitle>Advanced Internet Based Systems and Applications</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Chengjun</GivenName><FamilyName>Zhu</FamilyName></AuthorName><Contact><Email>zhucj@cse.buaa.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Yuanxin</GivenName><FamilyName>Ouyang</FamilyName></AuthorName><Contact><Email>oyyx@buaa.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Lei</GivenName><FamilyName>Gao</FamilyName></AuthorName><Contact><Email>gaol@cse.buaa.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Zhenyong</GivenName><FamilyName>Chen</FamilyName></AuthorName><Contact><Email>chzhyong@buaa.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Zhang</GivenName><FamilyName>Xiong</FamilyName></AuthorName><Contact><Email>xiongz@buaa.edu.cn</Email></Contact></Author><Affiliation ID="Aff18"><OrgDivision>School of Computer Science and Technology</OrgDivision><OrgName>Beihang University</OrgName><OrgAddress><Street>No. 37 Xue Yuan Road, Haidian District</Street><City>Beijing</City><Country>P.R.China</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Text in video is a very compact and accurate clue for video indexing and summarization. This paper presents an algorithm regarding word group as a special symbol to detect, localize and extract video text using support vector machine (SVM) automatically. First, four sobel operators are applied to get the EM(edge map) of the video frame and the EM is segmented into N×2N size blocks. Then character features and characters group structure features are extracted to construct a 19-dimension feature vector. We use a pre-trained SVM to partition each block into two classes: text and non-text blocks. Secondly a dilatation-shrink process is employed to adjust the text position. Finally text regions are enhanced by multiple frame information. After binarization of enhanced text region, the text region with clean background is recognized by OCR software. Experimental results show that the proposed method can detect, localize, and extract video texts with high accuracy.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>video text detection</Keyword><Keyword>support vector machine(SVM)</Keyword><Keyword>multilingual texts</Keyword><Keyword>video OCR</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>An Automatic Video Text Detection, Localization and Extraction Approach</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>An Automatic Video Text Detection, Localization and Extraction Approach</title></titleInfo><name type="personal"><namePart type="given">Chengjun</namePart><namePart type="family">Zhu</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</affiliation><affiliation>E-mail: zhucj@cse.buaa.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yuanxin</namePart><namePart type="family">Ouyang</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</affiliation><affiliation>E-mail: oyyx@buaa.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Lei</namePart><namePart type="family">Gao</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</affiliation><affiliation>E-mail: gaol@cse.buaa.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Zhenyong</namePart><namePart type="family">Chen</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</affiliation><affiliation>E-mail: chzhyong@buaa.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Zhang</namePart><namePart type="family">Xiong</namePart><affiliation>School of Computer Science and Technology, Beihang University, No. 37 Xue Yuan Road, Haidian District, Beijing, P.R.China</affiliation><affiliation>E-mail: xiongz@buaa.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">2009</dateIssued><copyrightDate encoding="w3cdtf">2009</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: Text in video is a very compact and accurate clue for video indexing and summarization. This paper presents an algorithm regarding word group as a special symbol to detect, localize and extract video text using support vector machine (SVM) automatically. First, four sobel operators are applied to get the EM(edge map) of the video frame and the EM is segmented into N×2N size blocks. Then character features and characters group structure features are extracted to construct a 19-dimension feature vector. We use a pre-trained SVM to partition each block into two classes: text and non-text blocks. Secondly a dilatation-shrink process is employed to adjust the text position. Finally text regions are enhanced by multiple frame information. After binarization of enhanced text region, the text region with clean background is recognized by OCR software. Experimental results show that the proposed method can detect, localize, and extract video texts with high accuracy.</abstract><relatedItem type="host"><titleInfo><title>Advanced Internet Based Systems and Applications</title><subTitle>Second International Conference on Signal-Image Technology and Internet-Based Systems, SITIS 2006, Hammamet, Tunisia, December 17-21, 2006, Revised Selected Papers</subTitle></titleInfo><name type="personal"><namePart type="given">Ernesto</namePart><namePart type="family">Damiani</namePart><affiliation>Dipartemento Tecnologie dell’Informazione, Universitá degli Studi di Milano, Via Bramante 65, 26013, Crema, Italy</affiliation><affiliation>E-mail: damiani@dti.unimi.it</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Kokou</namePart><namePart type="family">Yetongnon</namePart><affiliation>LE2I-CNRS, Université de Bourgogne, Aile de l’Ingénieur, 21078, Dijon Cedex, France</affiliation><affiliation>E-mail: kokou.yetongnon@u-bourgogne.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Richard</namePart><namePart type="family">Chbeir</namePart><affiliation>LE2I-CNRS, Université de Bourgogne, Aile de l’Ingénieur, 21078, Dijon Cedex, France</affiliation><affiliation>E-mail: richard.chbeir@u-bourgogne.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Albert</namePart><namePart type="family">Dipanda</namePart><affiliation>LE2I-CNRS, Université de Bourgogne, Aile de l’Ingénieur, 21078, Dijon Cedex, France</affiliation><affiliation>E-mail: adipanda@u-bourgogne.fr</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2009</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="I18040">Information Systems Applications (incl.Internet)</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I18024">Database Management</topic><topic authority="SpringerSubjectCodes" authorityURI="I13022">Computer Communication Networks</topic><topic authority="SpringerSubjectCodes" authorityURI="I18059">Multimedia Information Systems</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. 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