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Towards a Semantic Multi-modalities Description of Audiovisual Documents

Authors: Manel Fourati; Anis Jedidi; Faïez Gargouri;

Towards a Semantic Multi-modalities Description of Audiovisual Documents

Abstract

The description of an audiovisual document represents a major challenge for multimedia retrieval. Indeed, the lack of descriptive metadata extraction makes these proliferated resources underused in the querying process. To overcome these difficulties, the extraction of the semantic metadata of the content and the different structures of an audiovisual document is required. In this paper, we present a method that enables an automatic description of audiovisual documents. This automatic process is mainly based on the use of a multitude of modalities for the description and modeling of audiovisual documents, the standardization of these descriptions in the MPEG-7 standard through its description definition language (DDL) and on the use of semantic web language to link between the audiovisual resources.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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