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Improving the consistency verification and the quality of multimedia presentations

Authors: Abdelli Abdelkrim;

Improving the consistency verification and the quality of multimedia presentations

Abstract

We propose in this paper a formal methodology that improves the temporal consistency verification of multimedia presentations. It extends the standard approaches to check over inconsistencies due to output resource conflicts. This goal is achieved thanks to the definition of a new model that extends time Petri net to preemptor hyperarcs. This specification framework called preemptive resource time Petri nets (PRTPN) makes it possible to model correctly and accurately output resource requirements. A special attention is given to the modelling of user interactions when resource constrained. In order to be able to derive the reachability graph of this specification, the syntax and the formal semantics of the model are provided. The obtained graph is used in the verification of inconsistencies due inter alia to resource conflicts; hence a new paradigm called 'qualitative consistency' is defined.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
3
Average
Average
Average
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