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Ontology driven framework for multimedia information retrieval in P2P network

Abstract : 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.
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https://pastel.archives-ouvertes.fr/pastel-00678039
Contributor : Maria Sokhn <>
Submitted on : Monday, March 12, 2012 - 12:51:33 AM
Last modification on : Friday, October 23, 2020 - 4:37:48 PM
Long-term archiving on: : Wednesday, December 14, 2016 - 11:56:06 AM

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  • HAL Id : pastel-00678039, version 1

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Maria Sokhn. Ontology driven framework for multimedia information retrieval in P2P network. Computational Engineering, Finance, and Science [cs.CE]. Télécom ParisTech, 2011. English. ⟨pastel-00678039⟩

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