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Semantic Video Model for Description, Detection and Retrieval of Visual Events

Abstract : This thesis is about to explore the use of tools to support semantics of data in the field of multimedia. The first contribution concerns the generation of high-level descriptions. We propose a description language that allows high-level definition of events and objects from low-level features. The second contribution is the exploration of certain types of uncertainty reasoning in the context of multimedia semantics. We propose a semantic language (based on fuzzy conceptual graphs) for descriptions of videos and define mechanisms underlying reasoning. The third contribution relates to the semantic indexing and retrieval in multimedia databases. We propose a query language from deductive databases for the expression of spatiotemporal and semantic queries
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Submitted on : Thursday, June 25, 2020 - 1:41:11 PM
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  • HAL Id : tel-02881033, version 1


Ahmed Azough. Semantic Video Model for Description, Detection and Retrieval of Visual Events. Artificial Intelligence [cs.AI]. Université Claude Bernard - Lyon I, 2010. English. ⟨NNT : 2010LYO10055⟩. ⟨tel-02881033⟩



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