Video grammar for locating named people
Identifieur interne : 001607 ( Main/Exploration ); précédent : 001606; suivant : 001608Video grammar for locating named people
Auteurs : JUN YANG [États-Unis] ; Alexander Hauptmann [États-Unis]Source :
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Finding a named person in broadcast news video is important to video retrieval. Relying on the text information such as video transcript and OCR text, this task suffers from the temporal mismatch between a person's visual appearance and his/her name occurred in text. By exploring video grammar on the concurrence pattern between faces and names, we propose an extended text-based IR method to overcome this problem and yield superior performance.
Affiliations:
Links toward previous steps (curation, corpus...)
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Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Video grammar for locating named people</title><author><name sortKey="Jun Yang" sort="Jun Yang" uniqKey="Jun Yang" last="Jun Yang">JUN YANG</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>School of Computer Science Carnegie Mellon University</s1><s2>Pittsburgh, PA 15213</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName></affiliation></author><author><name sortKey="Hauptmann, Alexander" sort="Hauptmann, Alexander" uniqKey="Hauptmann A" first="Alexander" last="Hauptmann">Alexander Hauptmann</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>School of Computer Science Carnegie Mellon University</s1><s2>Pittsburgh, PA 15213</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">06-0132650</idno><date when="2004">2004</date><idno type="stanalyst">PASCAL 06-0132650 INIST</idno><idno type="RBID">Pascal:06-0132650</idno><idno type="wicri:Area/PascalFrancis/Corpus">000403</idno><idno type="wicri:Area/PascalFrancis/Curation">000383</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000448</idno><idno type="wicri:Area/Main/Merge">001659</idno><idno type="wicri:Area/Main/Curation">001607</idno><idno type="wicri:Area/Main/Exploration">001607</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Video grammar for locating named people</title><author><name sortKey="Jun Yang" sort="Jun Yang" uniqKey="Jun Yang" last="Jun Yang">JUN YANG</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>School of Computer Science Carnegie Mellon University</s1><s2>Pittsburgh, PA 15213</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName></affiliation></author><author><name sortKey="Hauptmann, Alexander" sort="Hauptmann, Alexander" uniqKey="Hauptmann A" first="Alexander" last="Hauptmann">Alexander Hauptmann</name><affiliation wicri:level="2"><inist:fA14 i1="01"><s1>School of Computer Science Carnegie Mellon University</s1><s2>Pittsburgh, PA 15213</s2><s3>USA</s3><sZ>1 aut.</sZ><sZ>2 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Pennsylvanie</region></placeName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Character recognition</term><term>Electronic library</term><term>Grammar</term><term>Image retrieval</term><term>Localization</term><term>Optical character recognition</term><term>Text</term><term>Video signal</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Bibliothèque électronique</term><term>Signal vidéo</term><term>Localisation</term><term>Recherche image</term><term>Texte</term><term>Reconnaissance caractère</term><term>Reconnaissance optique caractère</term><term>Grammaire</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Finding a named person in broadcast news video is important to video retrieval. Relying on the text information such as video transcript and OCR text, this task suffers from the temporal mismatch between a person's visual appearance and his/her name occurred in text. By exploring video grammar on the concurrence pattern between faces and names, we propose an extended text-based IR method to overcome this problem and yield superior performance.</div></front></TEI><affiliations><list><country><li>États-Unis</li></country><region><li>Pennsylvanie</li></region></list><tree><country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Jun Yang" sort="Jun Yang" uniqKey="Jun Yang" last="Jun Yang">JUN YANG</name></region><name sortKey="Hauptmann, Alexander" sort="Hauptmann, Alexander" uniqKey="Hauptmann A" first="Alexander" last="Hauptmann">Alexander Hauptmann</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|texte= Video grammar for locating named people
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