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Benoit (Hrsg.) Huet

Multimedia Semantics

Metadata, Analysis and Interaction

Ebook (PDF Format)

In this book, the authors present the latest research results in the multimedia and semantic web communities, bridging the Semantic Gap This book explains, collects and reports on the latest research results that aim at narrowing the so-called multimedia Semantic Gap: the large disparity between descriptions of multimedia content that can be computed automatically, and the richness and subjectivity of semantics in user queries and human interpretations of audiovisual media. Addressing the grand challenge posed by the Semantic Gap requires a multi-disciplinary approach (computer science, computer vision and signal processing, cognitive science… Mehr

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Produktdetails


Weitere Autoren: Troncy, Raphael (Hrsg.) / Schenk, Simon (Hrsg.)
  • ISBN: 978-1-119-97022-4
  • EAN: 9781119970224
  • Produktnummer: 13865222
  • Verlag: Wiley-Blackwell
  • Sprache: Englisch
  • Erscheinungsjahr: 2011
  • Seitenangabe: 328 S.
  • Plattform: PDF
  • Masse: 3'768 KB

Über den Autor


Dr. Raphaël Troncy, Centre for Mathematics and Computer Science, NetherlandsRaphaël Troncy obtained his Master's thesis with honours in computer science at the University Joseph Fourier of Grenoble, France. He received his PhD with honours in 2004. His research interests include Semantic Web and Multimedia Technologies, Knowledge Representation, Ontology Modeling and Alignment. Raphaël Troncy is an expert in audio visual metadata and in combining existing metadata standards (such as MPEG-7) with current Semantic Web technologies. Dr. Benoit Huet, Institut EURECOM, FranceBenoit Huet received his BSc degree in computer science and engineering from the Ecole Superieure de Technologie Electrique (Groupe ESIEE, France) in 1992. In 1993, he was awarded the MSc degree in Artificial Intelligence from the University of Westminster (UK) with distinction. He received his PhD degree in Computer Science from the University of York (UK). His research interests include computer vision, content-based retrieval, multimedia data mining and indexing (still and/or moving images) and pattern recognition. Simon Schenk, University of Koblenz-Landau, GermanySimon Schenk is a research and teaching assistant at the Information Systems and Semantic Web Group of University of Koblenz-Landau.Simon is working towards his PhD degree under the supervision of Professor Dr. Steffen Staab. Previously, he has worked as a consultant for Capgemini. Schenk studied at NORDAKADEMIE University of Applied Sciences, Germany and Karlstads Universitet, Sweden and received his diploma in Computer Science and Business Management from NORDAKADEMIE in 2004.

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