A Comprehensive Method for Arabic Video Text Detection, Localization, Extraction and Recognition
Identifieur interne : 000760 ( Main/Exploration ); précédent : 000759; suivant : 000761A Comprehensive Method for Arabic Video Text Detection, Localization, Extraction and Recognition
Auteurs : Ben Halima [Tunisie] ; H. Karray [Tunisie] ; M. Alimi [Tunisie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: With the rapid growth of the number of TV channels, the internet and online information services, more and more information becomes available and accessible. The digitization enhances preservation of records and makes the access to documents easier. However, when the quantity of documents become important the digitalization is not enough to ensure an efficient access. Indeed, we need to extract semantic information to help users to find what we need quickly. The text included in video sequences is highly needed for indexing and searching system. However, this text is difficult to detect and recognize because of the variability of its size, low resolution characters and the complexity of the backgrounds. To resolve these shortcomings, we propose a two task system: As a first step, we extract the textual information from video sequences and second, we recognize this text. Our system is tested on a diverse database composed of several Arabic news broadcast. The obtained results are encouraging and prove the qualities of our approach.
Url:
DOI: 10.1007/978-3-642-15696-0_60
Affiliations:
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Alimi</name><affiliation wicri:level="1"><country xml:lang="fr">Tunisie</country><wicri:regionArea>REGIM: REsearch Group on Intelligent Machines, University of Sfax, National School of Engineers (ENIS), BP 1173, 3038, Sfax</wicri:regionArea><wicri:noRegion>Sfax</wicri:noRegion></affiliation><affiliation><wicri:noCountry code="no comma">E-mail: adel.alimi@ieee.org</wicri:noCountry></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>2011</date></imprint><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">2F2E332915BB23BFFDCDE7742E2FB3AF59709478</idno><idno type="DOI">10.1007/978-3-642-15696-0_60</idno><idno type="ChapterID">60</idno><idno type="ChapterID">Chap60</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: With the rapid growth of the number of TV channels, the internet and online information services, more and more information becomes available and accessible. The digitization enhances preservation of records and makes the access to documents easier. However, when the quantity of documents become important the digitalization is not enough to ensure an efficient access. Indeed, we need to extract semantic information to help users to find what we need quickly. The text included in video sequences is highly needed for indexing and searching system. However, this text is difficult to detect and recognize because of the variability of its size, low resolution characters and the complexity of the backgrounds. To resolve these shortcomings, we propose a two task system: As a first step, we extract the textual information from video sequences and second, we recognize this text. Our system is tested on a diverse database composed of several Arabic news broadcast. The obtained results are encouraging and prove the qualities of our approach.</div></front></TEI><affiliations><list><country><li>Tunisie</li></country></list><tree><country name="Tunisie"><noRegion><name sortKey="Halima, Ben" sort="Halima, Ben" uniqKey="Halima B" first="Ben" last="Halima">Ben Halima</name></noRegion><name sortKey="Alimi, M" sort="Alimi, M" uniqKey="Alimi M" first="M." last="Alimi">M. Alimi</name><name sortKey="Karray, H" sort="Karray, H" uniqKey="Karray H" first="H." last="Karray">H. Karray</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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