A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video
Identifieur interne : 002B19 ( Istex/Corpus ); précédent : 002B18; suivant : 002B20A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video
Auteurs : Daniel Márquez ; Jesús Besc SSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: We here describe a method for caption extraction that totally works in the MPEG compressed domain. As opposed to other compressed domain methods; it does not need to refine their results in the pixel domain. It consists of two phases: first, a selection of candidate frames with captions, based on a rigorous statistical design of an AC coefficients mask; second, an extraction of caption boxes from the pre-selected set of candidate frames. Caption extraction relies on a model-based approach to obtaining the caption mask, robust enough to avoid the use of any subsequent refinement.
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DOI: 10.1007/978-3-540-77051-0_9
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<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video</title><author><name sortKey="Marquez, Daniel" sort="Marquez, Daniel" uniqKey="Marquez D" first="Daniel" last="Márquez">Daniel Márquez</name><affiliation><mods:affiliation>Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, E-28049 Madrid, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: daniel.marquez@uam.es</mods:affiliation></affiliation></author><author><name sortKey="Besc S, Jesus" sort="Besc S, Jesus" uniqKey="Besc S J" first="Jesús" last="Besc S">Jesús Besc S</name><affiliation><mods:affiliation>Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, E-28049 Madrid, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: j.bescos@uam.es</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:AD6B91C5A61EC6049F897D79E17386EA9631E95F</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1007/978-3-540-77051-0_9</idno><idno type="url">https://api.istex.fr/document/AD6B91C5A61EC6049F897D79E17386EA9631E95F/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">002B19</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video</title><author><name sortKey="Marquez, Daniel" sort="Marquez, Daniel" uniqKey="Marquez D" first="Daniel" last="Márquez">Daniel Márquez</name><affiliation><mods:affiliation>Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, E-28049 Madrid, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: daniel.marquez@uam.es</mods:affiliation></affiliation></author><author><name sortKey="Besc S, Jesus" sort="Besc S, Jesus" uniqKey="Besc S J" first="Jesús" last="Besc S">Jesús Besc S</name><affiliation><mods:affiliation>Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, E-28049 Madrid, Spain</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: j.bescos@uam.es</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2007</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">AD6B91C5A61EC6049F897D79E17386EA9631E95F</idno><idno type="DOI">10.1007/978-3-540-77051-0_9</idno><idno type="ChapterID">9</idno><idno type="ChapterID">Chap9</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: We here describe a method for caption extraction that totally works in the MPEG compressed domain. As opposed to other compressed domain methods; it does not need to refine their results in the pixel domain. It consists of two phases: first, a selection of candidate frames with captions, based on a rigorous statistical design of an AC coefficients mask; second, an extraction of caption boxes from the pre-selected set of candidate frames. 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As opposed to other compressed domain methods; it does not need to refine their results in the pixel domain. It consists of two phases: first, a selection of candidate frames with captions, based on a rigorous statistical design of an AC coefficients mask; second, an extraction of caption boxes from the pre-selected set of candidate frames. Caption extraction relies on a model-based approach to obtaining the caption mask, robust enough to avoid the use of any subsequent refinement.</Para></Abstract><ArticleNote Type="Misc"><SimplePara>Work partially supported by the European Commission under its 6<Superscript>th</Superscript> Framework Programme (FP6-027685 - MESH Project) and by Spanish Institutions under projects TIN2004-07860-C02-01 and S-0505-TIC-0223.</SimplePara></ArticleNote></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>A Model-Based Iterative Method for Caption Extraction in Compressed MPEG Video</title></titleInfo><name type="personal"><namePart type="given">Daniel</namePart><namePart type="family">Márquez</namePart><affiliation>Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, E-28049 Madrid, Spain</affiliation><affiliation>E-mail: daniel.marquez@uam.es</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Jesús</namePart><namePart type="family">Bescós</namePart><affiliation>Grupo de Tratamiento de Imágenes, Escuela Politécnica Superior, Universidad Autónoma de Madrid, E-28049 Madrid, Spain</affiliation><affiliation>E-mail: j.bescos@uam.es</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">2007</dateIssued><copyrightDate encoding="w3cdtf">2007</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: We here describe a method for caption extraction that totally works in the MPEG compressed domain. As opposed to other compressed domain methods; it does not need to refine their results in the pixel domain. It consists of two phases: first, a selection of candidate frames with captions, based on a rigorous statistical design of an AC coefficients mask; second, an extraction of caption boxes from the pre-selected set of candidate frames. Caption extraction relies on a model-based approach to obtaining the caption mask, robust enough to avoid the use of any subsequent refinement.</abstract><relatedItem type="host"><titleInfo><title>Semantic Multimedia</title><subTitle>Second International Conference on Semantic and Digital Media Technologies, SAMT 2007, Genoa, Italy, December 5-7, 2007. Proceedings</subTitle></titleInfo><name type="personal"><namePart type="given">Bianca</namePart><namePart type="family">Falcidieno</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Michela</namePart><namePart type="family">Spagnuolo</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Yannis</namePart><namePart type="family">Avrithis</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Ioannis</namePart><namePart type="family">Kompatsiaris</namePart><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Paul</namePart><namePart type="family">Buitelaar</namePart><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2007</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="I18059">Multimedia Information Systems</topic><topic authority="SpringerSubjectCodes" authorityURI="I13022">Computer Communication Networks</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="I21033">Document Preparation and Text Processing</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer 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