A Modular Approach for Automating Video Analysis
Identifieur interne : 000060 ( France/Analysis ); précédent : 000059; suivant : 000061A Modular Approach for Automating Video Analysis
Auteurs : Gayathri Nadarajan [Royaume-Uni] ; Arnaud Renouf [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2007.
Abstract
Abstract: Automating the steps involved in video processing has yet to be tackled with much success by vision developers and knowledge engineers. This is due to the difficulty in formulating vision problems and their solutions in a generalised manner. In this collaborated work, we introduce a modular approach that utilises ontologies to capture the goals, domain description and capabilities for performing video analysis. This modularisation is tested on real-world videos from an ecological source and proves useful in conceptualising and generalising video processing tasks. On a more significant note, this could be used in a framework for automatic video analysis in emerging infrastructures such as the Grid.
Url:
DOI: 10.1007/978-3-540-74272-2_17
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream Istex, to step Corpus: 000423
- to stream Istex, to step Curation: 000423
- to stream Istex, to step Checkpoint: 000668
- to stream Main, to step Merge: 001012
- to stream Main, to step Curation: 001005
- to stream Main, to step Exploration: 001005
- to stream France, to step Extraction: 000060
Links to Exploration step
ISTEX:DD672A9E2CF5AAF69085D141C313B4B392D42252Le document en format XML
<record><TEI wicri:istexFullTextTei="biblStruct"><teiHeader><fileDesc><titleStmt><title xml:lang="en">A Modular Approach for Automating Video Analysis</title><author><name sortKey="Nadarajan, Gayathri" sort="Nadarajan, Gayathri" uniqKey="Nadarajan G" first="Gayathri" last="Nadarajan">Gayathri Nadarajan</name></author><author><name sortKey="Renouf, Arnaud" sort="Renouf, Arnaud" uniqKey="Renouf A" first="Arnaud" last="Renouf">Arnaud Renouf</name></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:DD672A9E2CF5AAF69085D141C313B4B392D42252</idno><date when="2007" year="2007">2007</date><idno type="doi">10.1007/978-3-540-74272-2_17</idno><idno type="url">https://api.istex.fr/document/DD672A9E2CF5AAF69085D141C313B4B392D42252/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000423</idno><idno type="wicri:Area/Istex/Curation">000423</idno><idno type="wicri:Area/Istex/Checkpoint">000668</idno><idno type="wicri:doubleKey">0302-9743:2007:Nadarajan G:a:modular:approach</idno><idno type="wicri:Area/Main/Merge">001012</idno><idno type="wicri:Area/Main/Curation">001005</idno><idno type="wicri:Area/Main/Exploration">001005</idno><idno type="wicri:Area/France/Extraction">000060</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">A Modular Approach for Automating Video Analysis</title><author><name sortKey="Nadarajan, Gayathri" sort="Nadarajan, Gayathri" uniqKey="Nadarajan G" first="Gayathri" last="Nadarajan">Gayathri Nadarajan</name><affiliation wicri:level="2"><country>Royaume-Uni</country><placeName><region type="country">Écosse</region></placeName><wicri:cityArea>CISA, School of Informatics, University of Edinburgh</wicri:cityArea></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Royaume-Uni</country></affiliation></author><author><name sortKey="Renouf, Arnaud" sort="Renouf, Arnaud" uniqKey="Renouf A" first="Arnaud" last="Renouf">Arnaud Renouf</name><affiliation wicri:level="1"><country xml:lang="fr">France</country><wicri:regionArea>GREYC Laboratory (CNRS UMR 6072), Caen cedex</wicri:regionArea><wicri:noRegion>Caen cedex</wicri:noRegion><wicri:noRegion>Caen cedex</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">France</country></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">DD672A9E2CF5AAF69085D141C313B4B392D42252</idno><idno type="DOI">10.1007/978-3-540-74272-2_17</idno><idno type="ChapterID">17</idno><idno type="ChapterID">Chap17</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: Automating the steps involved in video processing has yet to be tackled with much success by vision developers and knowledge engineers. This is due to the difficulty in formulating vision problems and their solutions in a generalised manner. In this collaborated work, we introduce a modular approach that utilises ontologies to capture the goals, domain description and capabilities for performing video analysis. This modularisation is tested on real-world videos from an ecological source and proves useful in conceptualising and generalising video processing tasks. On a more significant note, this could be used in a framework for automatic video analysis in emerging infrastructures such as the Grid.</div></front></TEI><affiliations><list><country><li>France</li><li>Royaume-Uni</li></country><region><li>Écosse</li></region></list><tree><country name="Royaume-Uni"><region name="Écosse"><name sortKey="Nadarajan, Gayathri" sort="Nadarajan, Gayathri" uniqKey="Nadarajan G" first="Gayathri" last="Nadarajan">Gayathri Nadarajan</name></region><name sortKey="Nadarajan, Gayathri" sort="Nadarajan, Gayathri" uniqKey="Nadarajan G" first="Gayathri" last="Nadarajan">Gayathri Nadarajan</name></country><country name="France"><noRegion><name sortKey="Renouf, Arnaud" sort="Renouf, Arnaud" uniqKey="Renouf A" first="Arnaud" last="Renouf">Arnaud Renouf</name></noRegion><name sortKey="Renouf, Arnaud" sort="Renouf, Arnaud" uniqKey="Renouf A" first="Arnaud" last="Renouf">Arnaud Renouf</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/CyberinfraV1/Data/France/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000060 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/France/Analysis/biblio.hfd -nk 000060 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Ticri/CIDE
|area= CyberinfraV1
|flux= France
|étape= Analysis
|type= RBID
|clé= ISTEX:DD672A9E2CF5AAF69085D141C313B4B392D42252
|texte= A Modular Approach for Automating Video Analysis
}}
| This area was generated with Dilib version V0.6.25. |  |