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| Knowledge Extraction |
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WP4 aims at exploiting the development and results of WP3 and WP5 to provide techniques for the semantic analysis, annotation and
retrieval of multimedia content. The overall approach will be based on knowledge assisted content analysis and annotation using a
multimedia ontology infrastructure. More specifically, semantic and low-level attributes of the objects to be detected in combination
with appropriately defined rules developed within WP5 will determine the set of algorithms, which will be the aim of WP4, and
parameters required for the detection of semantic objects. Semantic concepts within the context of specific domains will be defined
in ontologies, extended with qualitative attributes of the semantic objects (e.g.colour homogeneity), multimedia processing methods
(e.g. colour clustering), and numerical data or lowlevel features (e.g. colour models, also defined in the ontology). Semantic Web
technologies will be used for knowledge representation including rules to describe how tools for multimedia analysis should be applied
according to different object attributes and low-level features as extracted in WP3.
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| Activity WP4.1 - Specification of a Multimedia Ontology Infrastructure |
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| Activity WP4.2 - Knowledge-assisted Multimedia Analysis |
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| Activity WP4.3 - Multimedia Reasoning and Annotation |
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| Activity WP4.4 - Content based Multimedia Mining |
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| Activity WP4.5 - Intelligent User Relevance Feedback |
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| Partners Involved |
| Informatics and Telematics Institute (ITI) & Centre for Research and Technology Hellas (CERTH) |
| Queen Mary, University of London (QMUL) |
| Koblenz University, (Uni Ko-Ld) |
| Joanneum Research Forschungsgesellschaft mbH, (JRS) |
| German Research Centre for Artificial Intelligence (DFKI) |
| Dublin City University, (DCU) |
| Centrum voor Wiskunde en Informatica, (CWI) |
| Groupe des Ecoles des Télécommunications, (GET) |
| Institut National de l'Audiovisuel (INA) |
| Institut Eurecom, (EURECOM) |
| University of Glasgow, (GU) |
| Technische Universitat Berlin, (TUB) |
| Ecole Polytechnique Fédérale de Lausanne, (EPFL) |
| University of Economics, Prague, (UEP) |
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| Contact |
| Yannis Avrithis |
| Image, Video and Multimedia Systems Laboratory |
| School of Electrical and Computer Engineering |
| National Technical University of Athens |
| 9 Iroon Polytechniou Str, 157 73 Athens, Greece |
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 | © 2006 K-Space - Knowledge Space of Semantic inference for automaic automatic annotation and retrieval of multimedia content Last Updated: 2006-03-24 |  |
