Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders
Identifieur interne : 000650 ( Istex/Corpus ); précédent : 000649; suivant : 000651Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders
Auteurs : E. Fersini ; E. Messina ; F. ArchettiSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2010.
Abstract
Abstract: Digital videos represent a fundamental informative source of those events that occur during a penal proceedings, which thanks to the technologies available nowadays, can be stored, organized and retrieved in short time and with low cost. However, considering the dimension that a video source can assume during a trial recording, several requirements have been pointed out by judicial actors: fast navigation of the stream, efficient access to data inside and effective representation of relevant contents. One of the possible solutions to these requirements is represented by multimedia summarization aimed at deriving a synthetic representation of audio/video contents, characterized by a limited loss of meaningful information. In this paper a multimedia summarization environment is proposed for defining a storyboard for proceedings celebrated into courtrooms.
Url:
DOI: 10.1007/978-3-642-14400-4_19
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ISTEX:5BECFB4E30972368C0B9EBFF1DB362C11064ABB7Le document en format XML
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Applications and Theoretical Aspects</BookTitle><BookSubTitle>10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. Proceedings</BookSubTitle><BookVolumeNumber>6171</BookVolumeNumber><BookSequenceNumber>6171</BookSequenceNumber><BookDOI>10.1007/978-3-642-14400-4</BookDOI><BookTitleID>212482</BookTitleID><BookPrintISBN>978-3-642-14399-1</BookPrintISBN><BookElectronicISBN>978-3-642-14400-4</BookElectronicISBN><BookChapterCount>50</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2010</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I18030" Priority="1" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I18059" Priority="2" Type="Secondary">Multimedia Information Systems</BookSubject><BookSubject Code="I22021" Priority="3" Type="Secondary">Image Processing and Computer Vision</BookSubject><BookSubject Code="I18040" Priority="4" Type="Secondary">Information Systems Applications (incl.Internet)</BookSubject><BookSubject Code="I18024" Priority="5" Type="Secondary">Database Management</BookSubject><BookSubject Code="I21017" Priority="6" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID><SubSeriesID>1244</SubSeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff19"><EditorName DisplayOrder="Western"><GivenName>Petra</GivenName><FamilyName>Perner</FamilyName></EditorName><Contact><Email>pperner@ibai-institut.de</Email></Contact></Editor><Affiliation ID="Aff19"><OrgName>Institut für Bildverarbeitung und angewandte Informatik</OrgName><OrgAddress><Street>Körnerstr. 10</Street><Postcode>04107</Postcode><City>Leipzig</City><Country>Deutschland</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part3"><PartInfo TocLevels="0"><PartID>3</PartID><PartSequenceNumber>3</PartSequenceNumber><PartTitle>Multimedia Data Mining</PartTitle><PartChapterCount>8</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Advances in Data Mining</BookTitle></PartContext></PartInfo><Chapter ID="Chap19" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>19</ChapterID><ChapterDOI>10.1007/978-3-642-14400-4_19</ChapterDOI><ChapterSequenceNumber>19</ChapterSequenceNumber><ChapterTitle Language="En">Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders</ChapterTitle><ChapterFirstPage>237</ChapterFirstPage><ChapterLastPage>247</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>3</PartID><BookID>978-3-642-14400-4</BookID><BookTitle>Advances in Data Mining</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>E.</GivenName><FamilyName>Fersini</FamilyName></AuthorName><Contact><Email>fersini@disco.unimib.it</Email></Contact></Author><Author AffiliationIDS="Aff20"><AuthorName DisplayOrder="Western"><GivenName>E.</GivenName><FamilyName>Messina</FamilyName></AuthorName><Contact><Email>messina@disco.unimib.it</Email></Contact></Author><Author AffiliationIDS="Aff20 Aff21"><AuthorName DisplayOrder="Western"><GivenName>F.</GivenName><FamilyName>Archetti</FamilyName></AuthorName><Contact><Email>archetti@disco.unimib.it</Email><Email>archetti@milanoricerche.it</Email></Contact></Author><Affiliation ID="Aff20"><OrgDivision>DISCo</OrgDivision><OrgName>Università degli Studi di Milano-Bicocca</OrgName><OrgAddress><Street>Viale Sarca, 336</Street><Postcode>20126</Postcode><City>Milano</City><Country>Italy</Country></OrgAddress></Affiliation><Affiliation ID="Aff21"><OrgName>Consorzio Milano Ricerche</OrgName><OrgAddress><Street>Via Cicognara 7</Street><Postcode>20129</Postcode><City>Milano</City><Country>Italy</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>Digital videos represent a fundamental informative source of those events that occur during a penal proceedings, which thanks to the technologies available nowadays, can be stored, organized and retrieved in short time and with low cost. However, considering the dimension that a video source can assume during a trial recording, several requirements have been pointed out by judicial actors: fast navigation of the stream, efficient access to data inside and effective representation of relevant contents. One of the possible solutions to these requirements is represented by multimedia summarization aimed at deriving a synthetic representation of audio/video contents, characterized by a limited loss of meaningful information. In this paper a multimedia summarization environment is proposed for defining a storyboard for proceedings celebrated into courtrooms.</Para></Abstract></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Multimedia Summarization in Law Courts: A Clustering-Based Environment for Browsing and Consulting Judicial Folders</title></titleInfo><name type="personal"><namePart type="given">E.</namePart><namePart type="family">Fersini</namePart><affiliation>DISCo, Università degli Studi di Milano-Bicocca, Viale Sarca, 336, 20126, Milano, Italy</affiliation><affiliation>E-mail: fersini@disco.unimib.it</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">E.</namePart><namePart type="family">Messina</namePart><affiliation>DISCo, Università degli Studi di Milano-Bicocca, Viale Sarca, 336, 20126, Milano, Italy</affiliation><affiliation>E-mail: messina@disco.unimib.it</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">F.</namePart><namePart type="family">Archetti</namePart><affiliation>DISCo, Università degli Studi di Milano-Bicocca, Viale Sarca, 336, 20126, Milano, Italy</affiliation><affiliation>Consorzio Milano Ricerche, Via Cicognara 7, 20129, Milano, Italy</affiliation><affiliation>E-mail: archetti@disco.unimib.it</affiliation><affiliation>E-mail: archetti@milanoricerche.it</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: Digital videos represent a fundamental informative source of those events that occur during a penal proceedings, which thanks to the technologies available nowadays, can be stored, organized and retrieved in short time and with low cost. However, considering the dimension that a video source can assume during a trial recording, several requirements have been pointed out by judicial actors: fast navigation of the stream, efficient access to data inside and effective representation of relevant contents. One of the possible solutions to these requirements is represented by multimedia summarization aimed at deriving a synthetic representation of audio/video contents, characterized by a limited loss of meaningful information. In this paper a multimedia summarization environment is proposed for defining a storyboard for proceedings celebrated into courtrooms.</abstract><relatedItem type="host"><titleInfo><title>Advances in Data Mining. Applications and Theoretical Aspects</title><subTitle>10th Industrial Conference, ICDM 2010, Berlin, Germany, July 12-14, 2010. 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type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Wolfgang</namePart><namePart type="family">Wahlster</namePart><affiliation>DFKI and University of Saarland, Saarbrücken, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Petra</namePart><namePart type="family">Perner</namePart><affiliation>Institut für Bildverarbeitung und angewandte Informatik, Körnerstr. 10, 04107, Leipzig, Deutschland</affiliation><affiliation>E-mail: pperner@ibai-institut.de</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Sub-Series"></genre><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="SubSeriesID">1244</identifier></relatedItem><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier 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