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K-Space: bridging the semantic gap

K-Space: bridging the semantic gap. Craig Stewart (QMUL). Machines see pixels and numbers. Textures Colours Distributions. Elephant in the African Savannah. Textures Colours Distributions. Humans see “semantic” objects. Overview of K-Space.

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K-Space: bridging the semantic gap

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  1. K-Space: bridging the semantic gap Craig Stewart (QMUL)

  2. Machines see pixels and numbers Textures Colours Distributions Elephant in the African Savannah Textures Colours Distributions Humans see “semantic” objects

  3. Overview of K-Space • K-Space -- Knowledge Space of Shared Technology and Integrative Research to Bridge the Semantic Gap (in Multimedia Representation and Processing) • A Network of Excellence in the 6th European R&D Framework (see http://www.k-space.eu/) • K-Space is a network of research teams from academia and industry to conduct integrative research and dissemination activities in semantic inference for (semi-)automatic annotation and retrieval of multimedia content. • K-Space is aiming at closing the semantic gap between low-level content descriptions that can be computed automatically by machines and the richness and subjectivity of semantics in high-level human interpretations of audiovisual media.

  4. Network Partners • Queen Mary, University of London (QMUL) - UK • Universitaet Koblenz-Landau (KU) - D • Joanneum Research Forschungsgesellschaft mbH (JRS) - AT • Centre for Research and Technology Hellas (CERTH) - GR • Dublin City University (DCU) - IR • Centrum voor Wiskunde en Informatica (CWI) - NL • Groupe des Ecoles des Télécommunications (GET) - F • Institut National de l’Audiovisuel (INA) - F • Institut Eurécom (EURECOM) - F • University of Glasgow (GU) - UK • German Research Centre for Artificial Intelligence (DFKI) - D • Technische Universität Berlin (TUB) - D • Ecole Polytechnique Fédérale de Lausanne (EPFL) - CH • University of Economics, Prague (UEP) - CZ

  5. K-Space Framework

  6. Summary Creation of an open and expandable framework for collaborative research on knowledge acquisition based on a common distributed system made up of flexible, modular and interconnected technology needed to bridge the semantic gap. Continued in …

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