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Author: search.filters.author.Amghar, Youssef

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    Semantic indexing of multimedia content using textual and visual information
    (Inderscience, 2014) Amrane, Abdesalam; Mellah, Hakima; Amghar, Youssef; Aliradi, Rachid
    The challenge in multimedia information retrieval remains in the indexing process, an active search area. There are three fundamental techniques for indexing multimedia content: those using textual information, and those using low-level information and those that combine different information extracted from multimedia. Each approach has its advantages and disadvantages as well to improve multimedia retrieval systems. The recent works are oriented towards multimodal approaches. In this paper we propose an approach that combines the surrounding text with the information extracted from the visual content of multimedia and represented in the same repository in order to allow querying multimedia content based on keywords or concepts. Each word contained in queries or in description of multimedia is disambiguated using the WordNet ontology in order to define its semantic concept. Support Vector Machines (SVMs) are used for image classification in one of the defined semantic concept based on SIFT (Scale Invariant Feature Transform) descriptors.
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    Web services based approach for integrating multimedia content
    (CERIST, 2012-05) Lebib, Fatma-Zohra; Mellah, Hakima; Amghar, Youssef
    Multimedia content is derived from various autonomous, distributed and heterogeneous content sources (relational or object databases, multimedia applications, multimedia servers, etc...). To address problems posed by content sources heterogeneity, a service-oriented architecture is proposed to assure a dynamic integration of multimedia content. In this work we propose a model that we call MaaS (for Multimedia as a Service), through which multimedia content providers expose their content. Once the MaaS is discovered, its classification into category of concepts, based on domain ontology, is made. However, content access is done through a concept hierarchy. The sport domain is used to validate the proposed model.
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    Web Services based Approach for Integrating Multimedia Content
    (SciTePress, 2012-06-28) Lebib, Fatma-Zohra; Mellah, Hakima; Amghar, Youssef
    Multimedia content is derived from various autonomous, distributed and heterogeneous content sources. To address problems posed by content sources heterogeneity, a service-oriented architecture is proposed to assure a dynamic integration of multimedia content. In this work we propose a model that we call MaaS (for Multimedia as a Service), through which multimedia content providers expose their content. Once the MaaS is discovered, its classification into category of concepts, based on domain ontology, is made. However, content access is done through a concept hierarchy. The sport domain is used to validate the proposed model.
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    Indexing multimedia content for textual querying: A multimodal approach
    (2013-07) Amrane, Abdesalam; Mellah, Hakima; Amghar, Youssef; Aliradi, Rachid
    Multimedia retrieval approaches are classified into three categories: those using textual information, and those using low-level information and those that combine different information extracted from multimedia. Each approach has its advantages and disadvantages as well to improving multimedia retrieval systems. The recent works are oriented towards multimodal approaches. It is in this context that we propose an approach that combines the surrounding text with the information extracted from the visual content of multimedia and represented in the same repository in order to allow querying multimedia content based on keywords or concepts. Each word contained in queries or in description of multimedia is disambiguated by using the WordNet in order to define its semantic concept.