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Ontology Based Multimedia Indexing

Ontology Based Multimedia Indexing

Mihaela Brut, Florence Sedes
Copyright: © 2010 |Pages: 19
ISBN13: 9781615208593|ISBN10: 1615208593|EISBN13: 9781615208609
DOI: 10.4018/978-1-61520-859-3.ch013
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MLA

Brut, Mihaela, and Florence Sedes. "Ontology Based Multimedia Indexing." Ontology Theory, Management and Design: Advanced Tools and Models, edited by Faiez Gargouri and Wassim Jaziri, IGI Global, 2010, pp. 284-302. https://doi.org/10.4018/978-1-61520-859-3.ch013

APA

Brut, M. & Sedes, F. (2010). Ontology Based Multimedia Indexing. In F. Gargouri & W. Jaziri (Eds.), Ontology Theory, Management and Design: Advanced Tools and Models (pp. 284-302). IGI Global. https://doi.org/10.4018/978-1-61520-859-3.ch013

Chicago

Brut, Mihaela, and Florence Sedes. "Ontology Based Multimedia Indexing." In Ontology Theory, Management and Design: Advanced Tools and Models, edited by Faiez Gargouri and Wassim Jaziri, 284-302. Hershey, PA: IGI Global, 2010. https://doi.org/10.4018/978-1-61520-859-3.ch013

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Abstract

The chapter goal is to provide responses to the following question: how the ontologies could be used in order to index and manage the multimedia collections? Alongside with reviewing the main standard formats, vocabularies and ontology categories developed especially for multimedia content description, the chapter emphasis the existing techniques for acquiring ontology-based indexing. Since a fully automatic such technique is not possible yet, the chapter also proposes a solution for indexing a multimedia collection by combining technologies from both semantic Web and multimedia indexation domains. The solution considers the management of multimedia metadata based on two correlated dictionaries: a metadata dictionary centralizes the multimedia metadata obtained through an automatic indexation process, while the visual concepts dictionary identifies the list of visual objects contained in multimedia documents and considered in the ontology-based annotation process. This approach facilitates as well the multimedia retrieval process.

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