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Ontology driven framework for multimedia information retrieval in P2P network

During the last decade we have witnessed an exponential growth of digital documents and multimedia resources, including a vast amount of video resources. Videos are becoming one of the most popular media thanks to the rich audio, visual and textual content they may convey. The recent technological a...

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Autor principal: Sokhn, Maria
Lenguaje:eng
Publicado: 2014
Materias:
Acceso en línea:http://cds.cern.ch/record/1967386
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author Sokhn, Maria
author_facet Sokhn, Maria
author_sort Sokhn, Maria
collection CERN
description During the last decade we have witnessed an exponential growth of digital documents and multimedia resources, including a vast amount of video resources. Videos are becoming one of the most popular media thanks to the rich audio, visual and textual content they may convey. The recent technological advances have made this large amount of multimedia resources available to users in a variety of areas, including the academic and scientific realms. However, without adequate techniques for effective content based multimedia retrieval, this large and valuable body of data is barely accessible and remains in effect unusable. This thesis explores semantic approaches to content based management browsing and visualization of the multimedia resources generated for and during scientific conferences. Indeed, a so-called semantic gap exists between the explicit knowledge representation required by users who search the multimedia resources and the implicit knowledge conveyed within a conference life cycle. The aim of this work is to provide users with an integrated framework that enhances the conference multimedia information retrieval by bridging this semantic gap. The goal of this thesis is to provide a novel approach for content based multimedia retrieval in the domain of scientific conferences.
id cern-1967386
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2014
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spelling cern-19673862019-09-30T06:29:59Zhttp://cds.cern.ch/record/1967386engSokhn, MariaOntology driven framework for multimedia information retrieval in P2P networkComputing and ComputersDuring the last decade we have witnessed an exponential growth of digital documents and multimedia resources, including a vast amount of video resources. Videos are becoming one of the most popular media thanks to the rich audio, visual and textual content they may convey. The recent technological advances have made this large amount of multimedia resources available to users in a variety of areas, including the academic and scientific realms. However, without adequate techniques for effective content based multimedia retrieval, this large and valuable body of data is barely accessible and remains in effect unusable. This thesis explores semantic approaches to content based management browsing and visualization of the multimedia resources generated for and during scientific conferences. Indeed, a so-called semantic gap exists between the explicit knowledge representation required by users who search the multimedia resources and the implicit knowledge conveyed within a conference life cycle. The aim of this work is to provide users with an integrated framework that enhances the conference multimedia information retrieval by bridging this semantic gap. The goal of this thesis is to provide a novel approach for content based multimedia retrieval in the domain of scientific conferences.CERN-THESIS-2011-336oai:cds.cern.ch:19673862014-11-06T10:34:33Z
spellingShingle Computing and Computers
Sokhn, Maria
Ontology driven framework for multimedia information retrieval in P2P network
title Ontology driven framework for multimedia information retrieval in P2P network
title_full Ontology driven framework for multimedia information retrieval in P2P network
title_fullStr Ontology driven framework for multimedia information retrieval in P2P network
title_full_unstemmed Ontology driven framework for multimedia information retrieval in P2P network
title_short Ontology driven framework for multimedia information retrieval in P2P network
title_sort ontology driven framework for multimedia information retrieval in p2p network
topic Computing and Computers
url http://cds.cern.ch/record/1967386
work_keys_str_mv AT sokhnmaria ontologydrivenframeworkformultimediainformationretrievalinp2pnetwork