5 research outputs found

    VAMP: semantic validation for MPEG-7 profile descriptions

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    MPEG-7 can be used to create complex and comprehensive metadata descriptions of multimedia content. Since MPEG-7 is defined in terms of an XML schema, the semantics of its elements has no formal grounding. In addition, certain features can be described in multiple ways. MPEG-7 profiles are subsets of the standard that apply to specific application areas and that aim to reduce this syntactic variability, but they still lack formal semantics. We propose an approach for expressing the semantics explicitly

    Easing the Creation of Mappings between Metadata Formats

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    VAMP: a service for validating MPEG-7 descriptions w.r.t. to formal profile definitions

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    MPEG-7 can be used to create complex and comprehensive metadata descriptions of multimedia content. Since MPEG-7 is defined in terms of an XML schema, the semantics of its elements has no formal grounding. In addition, certain features can be described in multiple ways. MPEG-7 profiles are subsets of the standard that apply to specific application areas and that aim to reduce this syntactic variability, but they still lack formal semantics. We propose an approach for expressing the semantics explicitly by formalizing the constraints of various profiles using ontologies, logical rules and ad-hoc programming, thus enabling interoperability and automatic use for MPEG-7 based applications. We have implemented VAMP, a full semantic validation service that detects any inconsistencies of the semantic constraints formalized. Another contribution of this paper is an analysis of how MPEG-7 is practically used. We report on experiments about the semantic validity of MPEG-7 descriptions produced by numerous tools and projects and we categorize the most common errors found

    INformation Systems VAMP: semantic validation for MPEG-7 profile descriptions

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    CWI is a founding member of ERCIM, the European Research Consortium for Informatics and Mathematics. CWI's research has a theme-oriented structure and is grouped into four clusters. Listed below are the names of the clusters and in parentheses their acronyms
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