Network-Diffused Media Scaling for Multimedia Content Services
Identifieur interne : 001F53 ( Main/Exploration ); précédent : 001F52; suivant : 001F54Network-Diffused Media Scaling for Multimedia Content Services
Auteurs : E. Kia [États-Unis] ; J. Sauvola [Finlande] ; S. Doermann [États-Unis]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 1999.
Abstract
Abstract: In this paper we propose a new approach to adaptation of content-based processing, media preparation and presentation. We address multimedia consumption terminals having a variable amount of resources. The proposed technique adapts the required service data contained within the multimedia to the abilities of the hybrid network elements and application requirements. In our approach the data representations are transformed and converted efficiently to reduce delivery requirements and to emphasize quality of service ratio. An experimental system is implemented in a distributed environment providing only low processing requirements from the data processing nodes. We perform media profiling based on cross-media translation to achieve an efficient scaling and fit the content with terminal capabilities. Our approach aims to build an intelligent content service infrastructure in a way that the servers, nodes, and terminals are aware of their capabilities along with the capabilities of their surroundings. We demonstrate with an example service with scalable multimedia delivery over hybrid network elements.
Url:
DOI: 10.1007/3-540-48109-5_13
Affiliations:
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Kia</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><placeName><region type="state">Maryland</region></placeName><wicri:cityArea>Information Technology Laboratory, National Institute of Standards and Technology, 20899, Gaithersburg</wicri:cityArea></affiliation><affiliation><wicri:noCountry code="no comma">E-mail: omid.kia@nist.gov</wicri:noCountry></affiliation></author><author><name sortKey="Sauvola, J" sort="Sauvola, J" uniqKey="Sauvola J" first="J." last="Sauvola">J. Sauvola</name><affiliation wicri:level="1"><country xml:lang="fr">Finlande</country><wicri:regionArea>Machine Vision and Media Processing Group, Infotech Oulu University of Oulu, 90570, Oulu</wicri:regionArea><wicri:noRegion>Oulu</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Finlande</country></affiliation></author><author><name sortKey="Doermann, S" sort="Doermann, S" uniqKey="Doermann S" first="S." last="Doermann">S. Doermann</name><affiliation wicri:level="2"><country xml:lang="fr">États-Unis</country><placeName><region type="state">Maryland</region></placeName><wicri:cityArea>Language and Media Processing Laboratory, Institute for Advanced Computing Studies University of Maryland, 20742, College park</wicri:cityArea></affiliation><affiliation wicri:level="1"><country wicri:rule="url">États-Unis</country></affiliation></author></analytic><monogr></monogr><series><title level="s">Lecture Notes in Computer Science</title><imprint><date>1999</date></imprint><idno type="ISSN">0302-9743</idno><idno type="ISSN">0302-9743</idno></series><idno type="istex">F0AF70743733A97A5F4A2CD70A1520A1F161E99F</idno><idno type="DOI">10.1007/3-540-48109-5_13</idno><idno type="ChapterID">13</idno><idno type="ChapterID">Chap13</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: In this paper we propose a new approach to adaptation of content-based processing, media preparation and presentation. We address multimedia consumption terminals having a variable amount of resources. The proposed technique adapts the required service data contained within the multimedia to the abilities of the hybrid network elements and application requirements. In our approach the data representations are transformed and converted efficiently to reduce delivery requirements and to emphasize quality of service ratio. An experimental system is implemented in a distributed environment providing only low processing requirements from the data processing nodes. We perform media profiling based on cross-media translation to achieve an efficient scaling and fit the content with terminal capabilities. Our approach aims to build an intelligent content service infrastructure in a way that the servers, nodes, and terminals are aware of their capabilities along with the capabilities of their surroundings. We demonstrate with an example service with scalable multimedia delivery over hybrid network elements.</div></front></TEI><affiliations><list><country><li>Finlande</li><li>États-Unis</li></country><region><li>Maryland</li></region></list><tree><country name="États-Unis"><region name="Maryland"><name sortKey="Kia, E" sort="Kia, E" uniqKey="Kia E" first="E." last="Kia">E. Kia</name></region><name sortKey="Doermann, S" sort="Doermann, S" uniqKey="Doermann S" first="S." last="Doermann">S. Doermann</name><name sortKey="Doermann, S" sort="Doermann, S" uniqKey="Doermann S" first="S." last="Doermann">S. Doermann</name></country><country name="Finlande"><noRegion><name sortKey="Sauvola, J" sort="Sauvola, J" uniqKey="Sauvola J" first="J." last="Sauvola">J. Sauvola</name></noRegion><name sortKey="Sauvola, J" sort="Sauvola, J" uniqKey="Sauvola J" first="J." last="Sauvola">J. Sauvola</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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