A Video Text Detection Method Based on Key Text Points
Identifieur interne : 000B34 ( Istex/Corpus ); précédent : 000B33; suivant : 000B35A Video Text Detection Method Based on Key Text Points
Auteurs : Zhi Li ; Guizhong Liu ; Xueming Qian ; Chen Wang ; Yana Ma ; Yang YangSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: This paper proposes a novel video text detection method based on the key text points. For text detection, the keyframes is decomposed by wavelet transform. The key text points (KTPs) are determined by three resulting high-frequency subbands, and merged by the morphological operations. The anti-texture-direction-projection method is proposed for text line localization and verification. A fast text tracking scheme is proposed, in which text detection is only implemented on the first keyframe of an identical text line in the duration. The appearing (disappearing) frame is determined by a fast search method. Experimental results show that the proposed text detection method is robust to the font size, style, color and alignment of texts. The proposed text tracking greatly speeds up the text detection.
Url:
DOI: 10.1007/978-3-642-15702-8_26
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last="Qian">Xueming Qian</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: qianxm@mail.xjtu.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Wang, Chen" sort="Wang, Chen" uniqKey="Wang C" first="Chen" last="Wang">Chen Wang</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: wangchen.615@stu.xjtu.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Ma, Yana" sort="Ma, Yana" uniqKey="Ma Y" first="Yana" last="Ma">Yana Ma</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: yana.ma@stu.xjtu.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Yang, Yang" sort="Yang, Yang" uniqKey="Yang Y" first="Yang" last="Yang">Yang Yang</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: lantianzhiyi.718@stu.xjtu.edu.cn</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:2558BBC5F8D3E13A7C89A4062BE1931818489EDA</idno><date when="2010" year="2010">2010</date><idno type="doi">10.1007/978-3-642-15702-8_26</idno><idno type="url">https://api.istex.fr/document/2558BBC5F8D3E13A7C89A4062BE1931818489EDA/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000B34</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A Video Text Detection Method Based on Key Text Points</title><author><name sortKey="Li, Zhi" sort="Li, Zhi" uniqKey="Li Z" first="Zhi" last="Li">Zhi Li</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: lizhi1030@mail.xjtu.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Liu, Guizhong" sort="Liu, Guizhong" uniqKey="Liu G" first="Guizhong" last="Liu">Guizhong Liu</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: liugz@mail.xjtu.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Qian, Xueming" sort="Qian, Xueming" uniqKey="Qian X" first="Xueming" last="Qian">Xueming Qian</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: qianxm@mail.xjtu.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Wang, Chen" sort="Wang, Chen" uniqKey="Wang C" first="Chen" last="Wang">Chen Wang</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: wangchen.615@stu.xjtu.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Ma, Yana" sort="Ma, Yana" uniqKey="Ma Y" first="Yana" last="Ma">Yana Ma</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: yana.ma@stu.xjtu.edu.cn</mods:affiliation></affiliation></author><author><name sortKey="Yang, Yang" sort="Yang, Yang" uniqKey="Yang Y" first="Yang" last="Yang">Yang Yang</name><affiliation><mods:affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: lantianzhiyi.718@stu.xjtu.edu.cn</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2010</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">2558BBC5F8D3E13A7C89A4062BE1931818489EDA</idno><idno type="DOI">10.1007/978-3-642-15702-8_26</idno><idno type="ChapterID">26</idno><idno type="ChapterID">Chap26</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: This paper proposes a novel video text detection method based on the key text points. For text detection, the keyframes is decomposed by wavelet transform. The key text points (KTPs) are determined by three resulting high-frequency subbands, and merged by the morphological operations. The anti-texture-direction-projection method is proposed for text line localization and verification. A fast text tracking scheme is proposed, in which text detection is only implemented on the first keyframe of an identical text line in the duration. The appearing (disappearing) frame is determined by a fast search method. Experimental results show that the proposed text detection method is robust to the font size, style, color and alignment of texts. The proposed text tracking greatly speeds up the text detection.</div></front></TEI><istex><corpusName>springer</corpusName><author><json:item><name>Zhi Li</name><affiliations><json:string>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</json:string><json:string>E-mail: lizhi1030@mail.xjtu.edu.cn</json:string></affiliations></json:item><json:item><name>Guizhong Liu</name><affiliations><json:string>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</json:string><json:string>E-mail: liugz@mail.xjtu.edu.cn</json:string></affiliations></json:item><json:item><name>Xueming Qian</name><affiliations><json:string>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</json:string><json:string>E-mail: qianxm@mail.xjtu.edu.cn</json:string></affiliations></json:item><json:item><name>Chen Wang</name><affiliations><json:string>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</json:string><json:string>E-mail: wangchen.615@stu.xjtu.edu.cn</json:string></affiliations></json:item><json:item><name>Yana Ma</name><affiliations><json:string>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</json:string><json:string>E-mail: yana.ma@stu.xjtu.edu.cn</json:string></affiliations></json:item><json:item><name>Yang Yang</name><affiliations><json:string>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</json:string><json:string>E-mail: lantianzhiyi.718@stu.xjtu.edu.cn</json:string></affiliations></json:item></author><language><json:string>eng</json:string></language><abstract>Abstract: This paper proposes a novel video text detection method based on the key text points. For text detection, the keyframes is decomposed by wavelet transform. The key text points (KTPs) are determined by three resulting high-frequency subbands, and merged by the morphological operations. The anti-texture-direction-projection method is proposed for text line localization and verification. A fast text tracking scheme is proposed, in which text detection is only implemented on the first keyframe of an identical text line in the duration. The appearing (disappearing) frame is determined by a fast search method. Experimental results show that the proposed text detection method is robust to the font size, style, color and alignment of texts. 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Xi’an Jiaotong University, Xi’an, China</affiliation></author><author><persName><forename type="first">Xueming</forename><surname>Qian</surname></persName><email>qianxm@mail.xjtu.edu.cn</email><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation></author><author><persName><forename type="first">Chen</forename><surname>Wang</surname></persName><email>wangchen.615@stu.xjtu.edu.cn</email><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation></author><author><persName><forename type="first">Yana</forename><surname>Ma</surname></persName><email>yana.ma@stu.xjtu.edu.cn</email><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation></author><author><persName><forename type="first">Yang</forename><surname>Yang</surname></persName><email>lantianzhiyi.718@stu.xjtu.edu.cn</email><affiliation>School of Electronic 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type="first">Jay</forename><surname>Kuo</surname></persName><email>cckuo@sipi.usc.edu</email><affiliation>Department of Electrical Engineering, University of Southern California, 90089-2564, Los Angeles, CA</affiliation></editor><editor><persName><forename type="first">Michael</forename><forename type="first">S.</forename><surname>Lew</surname></persName><email>mlew@liacs.nl</email><affiliation>LIACS Media Lab, Leiden University,</affiliation></editor><imprint><publisher>Springer Berlin Heidelberg</publisher><pubPlace>Berlin, Heidelberg</pubPlace><date type="published" when="2010"></date><biblScope unit="volume">6297</biblScope><biblScope unit="page" from="284">284</biblScope><biblScope unit="page" to="295">295</biblScope></imprint></monogr><series><title level="s">Lecture Notes in Computer Science</title><editor><persName><forename type="first">David</forename><surname>Hutchison</surname></persName><affiliation>Lancaster University, Lancaster, 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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>2010</date></biblScope><idno type="pISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="seriesId">558</idno></series><idno type="istex">2558BBC5F8D3E13A7C89A4062BE1931818489EDA</idno><idno type="DOI">10.1007/978-3-642-15702-8_26</idno><idno type="ChapterID">26</idno><idno type="ChapterID">Chap26</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2010</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>Abstract: This paper proposes a novel video text detection method based on the key text points. For text detection, the keyframes is decomposed by wavelet transform. The key text points (KTPs) are determined by three resulting high-frequency subbands, and merged by the morphological operations. The anti-texture-direction-projection method is proposed for text line localization and verification. A fast text tracking scheme is proposed, in which text detection is only implemented on the first keyframe of an identical text line in the duration. The appearing (disappearing) frame is determined by a fast search method. Experimental results show that the proposed text detection method is robust to the font size, style, color and alignment of texts. The proposed text tracking greatly speeds up the text detection.</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>I18059</label><label>I13022</label><label>I18040</label><label>I18032</label><label>I18067</label><label>I14029</label><item><term>Computer Science</term></item><item><term>Multimedia Information Systems</term></item><item><term>Computer Communication Networks</term></item><item><term>Information Systems Applications (incl.Internet)</term></item><item><term>Information Storage and Retrieval</term></item><item><term>User Interfaces and Human Computer Interaction</term></item><item><term>Software Engineering</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2010">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" 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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" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-15702-8</BookID><BookTitle>Advances in Multimedia Information Processing - PCM 2010</BookTitle><BookSubTitle>11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010, Proceedings, Part I</BookSubTitle><BookVolumeNumber>6297</BookVolumeNumber><BookSequenceNumber>6297</BookSequenceNumber><BookDOI>10.1007/978-3-642-15702-8</BookDOI><BookTitleID>213556</BookTitleID><BookPrintISBN>978-3-642-15701-1</BookPrintISBN><BookElectronicISBN>978-3-642-15702-8</BookElectronicISBN><BookChapterCount>67</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18059" Priority="1" Type="Secondary">Multimedia Information Systems</BookSubject><BookSubject Code="I13022" Priority="2" Type="Secondary">Computer Communication Networks</BookSubject><BookSubject Code="I18040" Priority="3" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18032" Priority="4" Type="Secondary">Information Storage and Retrieval</BookSubject><BookSubject Code="I18067" Priority="5" Type="Secondary">User Interfaces and Human Computer Interaction</BookSubject><BookSubject Code="I14029" Priority="6" Type="Secondary">Software Engineering</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Guoping</GivenName><FamilyName>Qiu</FamilyName></EditorName><Contact><Email>qiu@cs.nott.ac.uk</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>Kin</GivenName><GivenName>Man</GivenName><FamilyName>Lam</FamilyName></EditorName><Contact><Email>enkmlam@polyu.edu.hk</Email></Contact></Editor><Editor AffiliationIDS="Aff18"><EditorName DisplayOrder="Western"><GivenName>Hitoshi</GivenName><FamilyName>Kiya</FamilyName></EditorName><Contact><Email>kiya@sd.tmu.ac.jp</Email></Contact></Editor><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Xiang-Yang</GivenName><FamilyName>Xue</FamilyName></EditorName><Contact><Email>xyxue@fudan.edu.cn</Email></Contact></Editor><Editor AffiliationIDS="Aff20"><EditorName DisplayOrder="Western"><GivenName>C.-C.</GivenName><GivenName>Jay</GivenName><FamilyName>Kuo</FamilyName></EditorName><Contact><Email>cckuo@sipi.usc.edu</Email></Contact></Editor><Editor AffiliationIDS="Aff21"><EditorName DisplayOrder="Western"><GivenName>Michael</GivenName><GivenName>S.</GivenName><FamilyName>Lew</FamilyName></EditorName><Contact><Email>mlew@liacs.nl</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>School of Computer Science</OrgDivision><OrgName>University of Nottingham</OrgName><OrgAddress><Street>Jubilee Campus</Street><Postcode>NG8 1BB</Postcode><City>Nottingham</City><Country>UK</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>The Centre for Multimedia Signal Processing</OrgDivision><OrgName>The Hong Kong Polytechnic University</OrgName><OrgAddress><City>Hong Kong</City><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff18"><OrgDivision>Faculty of System Design</OrgDivision><OrgName>Tokyo Metropolitan University</OrgName><OrgAddress><Street>6-6, Asahigaoka</Street><Postcode>191-0065</Postcode><City>Hino-city, Tokyo</City></OrgAddress></Affiliation><Affiliation ID="Aff19"><OrgDivision>Shanghai Key Laboratory of Intelligent Information Processing, Department of Computer Science & Engineering</OrgDivision><OrgName>Fudan University</OrgName><OrgAddress><City>Shanghai</City><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff20"><OrgDivision>Department of Electrical Engineering</OrgDivision><OrgName>University of Southern California</OrgName><OrgAddress><Postcode>90089-2564</Postcode><City>Los Angeles</City><State>CA</State></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgDivision>LIACS Media Lab</OrgDivision><OrgName>Leiden University</OrgName><OrgAddress><Country> </Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part1"><PartInfo TocLevels="0"><PartID>1</PartID><PartSequenceNumber>1</PartSequenceNumber><PartTitle>Multimedia Analysis and Retrieval</PartTitle><PartChapterCount>52</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Multimedia Information Processing - PCM 2010</BookTitle></PartContext></PartInfo><Chapter ID="Chap26" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>26</ChapterID><ChapterDOI>10.1007/978-3-642-15702-8_26</ChapterDOI><ChapterSequenceNumber>26</ChapterSequenceNumber><ChapterTitle Language="En"> A Video Text Detection Method Based on Key Text Points</ChapterTitle><ChapterFirstPage>284</ChapterFirstPage><ChapterLastPage>295</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</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>978-3-642-15702-8</BookID><BookTitle>Advances in Multimedia Information Processing - PCM 2010</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Zhi</GivenName><FamilyName>Li</FamilyName></AuthorName><Contact><Email>lizhi1030@mail.xjtu.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Guizhong</GivenName><FamilyName>Liu</FamilyName></AuthorName><Contact><Email>liugz@mail.xjtu.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Xueming</GivenName><FamilyName>Qian</FamilyName></AuthorName><Contact><Email>qianxm@mail.xjtu.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Chen</GivenName><FamilyName>Wang</FamilyName></AuthorName><Contact><Email>wangchen.615@stu.xjtu.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Yana</GivenName><FamilyName>Ma</FamilyName></AuthorName><Contact><Email>yana.ma@stu.xjtu.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff22"><AuthorName DisplayOrder="Western"><GivenName>Yang</GivenName><FamilyName>Yang</FamilyName></AuthorName><Contact><Email>lantianzhiyi.718@stu.xjtu.edu.cn</Email></Contact></Author><Affiliation ID="Aff22"><OrgDivision>School of Electronic and Information Engineering</OrgDivision><OrgName>Xi’an Jiaotong University</OrgName><OrgAddress><City>Xi’an</City><Country>China</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>This paper proposes a novel video text detection method based on the key text points. For text detection, the keyframes is decomposed by wavelet transform. The key text points (KTPs) are determined by three resulting high-frequency subbands, and merged by the morphological operations. The anti-texture-direction-projection method is proposed for text line localization and verification. A fast text tracking scheme is proposed, in which text detection is only implemented on the first keyframe of an identical text line in the duration. The appearing (disappearing) frame is determined by a fast search method. Experimental results show that the proposed text detection method is robust to the font size, style, color and alignment of texts. The proposed text tracking greatly speeds up the text detection.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Text detection</Keyword><Keyword>text localization</Keyword><Keyword>text tracking</Keyword><Keyword>wavelet transform</Keyword><Keyword>key text points</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Video Text Detection Method Based on Key Text Points</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Video Text Detection Method Based on Key Text Points</title></titleInfo><name type="personal"><namePart type="given">Zhi</namePart><namePart type="family">Li</namePart><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation><affiliation>E-mail: lizhi1030@mail.xjtu.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Guizhong</namePart><namePart type="family">Liu</namePart><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation><affiliation>E-mail: liugz@mail.xjtu.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Xueming</namePart><namePart type="family">Qian</namePart><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation><affiliation>E-mail: qianxm@mail.xjtu.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Chen</namePart><namePart type="family">Wang</namePart><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation><affiliation>E-mail: wangchen.615@stu.xjtu.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yana</namePart><namePart type="family">Ma</namePart><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation><affiliation>E-mail: yana.ma@stu.xjtu.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yang</namePart><namePart type="family">Yang</namePart><affiliation>School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China</affiliation><affiliation>E-mail: lantianzhiyi.718@stu.xjtu.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">2010</dateIssued><copyrightDate encoding="w3cdtf">2010</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: This paper proposes a novel video text detection method based on the key text points. For text detection, the keyframes is decomposed by wavelet transform. The key text points (KTPs) are determined by three resulting high-frequency subbands, and merged by the morphological operations. The anti-texture-direction-projection method is proposed for text line localization and verification. A fast text tracking scheme is proposed, in which text detection is only implemented on the first keyframe of an identical text line in the duration. The appearing (disappearing) frame is determined by a fast search method. Experimental results show that the proposed text detection method is robust to the font size, style, color and alignment of texts. The proposed text tracking greatly speeds up the text detection.</abstract><relatedItem type="host"><titleInfo><title>Advances in Multimedia Information Processing - PCM 2010</title><subTitle>11th Pacific Rim Conference on Multimedia, Shanghai, China, September 21-24, 2010, Proceedings, Part I</subTitle></titleInfo><name type="personal"><namePart type="given">Guoping</namePart><namePart type="family">Qiu</namePart><affiliation>School of Computer Science, University of Nottingham, Jubilee Campus, NG8 1BB, Nottingham, UK</affiliation><affiliation>E-mail: qiu@cs.nott.ac.uk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Kin</namePart><namePart type="given">Man</namePart><namePart type="family">Lam</namePart><affiliation>The Centre for Multimedia Signal Processing, The Hong Kong Polytechnic University, Hong Kong, China</affiliation><affiliation>E-mail: enkmlam@polyu.edu.hk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Hitoshi</namePart><namePart type="family">Kiya</namePart><affiliation>Faculty of System Design, Tokyo Metropolitan University, 6-6, Asahigaoka, 191-0065, Hino-city, Tokyo</affiliation><affiliation>E-mail: kiya@sd.tmu.ac.jp</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Xiang-Yang</namePart><namePart type="family">Xue</namePart><affiliation>Shanghai Key Laboratory of Intelligent Information Processing, Department of Computer Science & Engineering, Fudan University, Shanghai, China</affiliation><affiliation>E-mail: xyxue@fudan.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.-C.</namePart><namePart type="given">Jay</namePart><namePart type="family">Kuo</namePart><affiliation>Department of Electrical Engineering, University of Southern California, 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