Détection et reconnaissance de texte dans les documents vidéos - Et leurs apports à la reconnaissance de personnes
Identifieur interne : 000100 ( France/Analysis ); précédent : 000099; suivant : 000101Détection et reconnaissance de texte dans les documents vidéos - Et leurs apports à la reconnaissance de personnes
Auteurs : Johann Poignant [France]Source :
Descripteurs français
Abstract
This article presents the different steps used to recognize characters for multi-modal person recognition systems in video (ANR REPRE challenge). Text detection is achieved by a technique based on the text features (texture, color, contrast, geometry, temporal information, measure of accumulated gradients). The text recognition is then performed by the free software Google Tesseract. The method was evaluated on a TV news corpus containing 59 videos from the France 2 French TV channel.
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Affiliations:
Links toward previous steps (curation, corpus...)
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Links to Exploration step
Hal:hal-00764143Le document en format XML
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Text detection is achieved by a technique based on the text features (texture, color, contrast, geometry, temporal information, measure of accumulated gradients). The text recognition is then performed by the free software Google Tesseract. The method was evaluated on a TV news corpus containing 59 videos from the France 2 French TV channel.</div></front></TEI><affiliations><list><country><li>France</li></country><region><li>Auvergne-Rhône-Alpes</li><li>Rhône-Alpes</li></region><settlement><li>Grenoble</li></settlement><orgName><li>Université Joseph Fourier</li><li>Université de Grenoble</li></orgName></list><tree><country name="France"><region name="Auvergne-Rhône-Alpes"><name sortKey="Poignant, Johann" sort="Poignant, Johann" uniqKey="Poignant J" first="Johann" last="Poignant">Johann Poignant</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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