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K-Space - Knowledge Space of Semantic inference for automatic annotation and retrieval of multimedia content

K-Space aimed at narrowing the gap between automatically computed content descriptors, and the richness and subjectivity of semantics in high-level human interpretations of audiovisual media: The Semantic Gap.

Impact

Directed by the K-Space framework, content creators should be able to automatically annotate audiovisual media with information rich semantics. To this end K-Space looked to disseminate the technical developments of the network across the broad research community, to boost technology transfer to industry and contribute to related standardisation activities.

Main innovation

K-Space aimed at:

More details
Administrative Details
List of Participants
Contact Persons
Project Coordinator: Prof. Ebroul Izquierdo
Multimedia and Vision Lab (MMV)
Queen Mary, University of London
Mile End Road, E1 4NS, London, UK
Email: Prof. Ebroul Izquierdo
Project Manager: Craig Stewart
Multimedia and Vision Lab (MMV)
Electronic Engineering Department
Queen Mary, University of London
Mile End Road, E1 4NS, London, UK
Email: Craig Stewart
Events in connection with K-Space

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