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Knowledge space of semantic inference for automatic annotation and retrieval of multimedia content

Objective

K-Space is a network of leading research teams from academia and industry conducting integrative research and dissemination activities in semantic inference for automatic and semi-automatic annotation and retrieval of multimedia content. The aim of K-Space research is to narrow the gap between low-level content descriptions that can be computed automatically by a machine and the richness and subjectivity of semantics in high-level human interpretations of audiovisual media.

K-Space integrative research focus on three key areas:
-Content-based multimedia analysis: Tools and methodologies for low and medium-level signal processing, natural language, audio and speech processing, text analysis, low-level feature fusion and content description.
-Knowledge extraction: Building of a multimedia ontology infrastructure, knowledge-assisted multimedia analysis multimedia reasoning and annotation, context based multimedia mining and intelligent user relevance feedback.
-Semantic multimedia: Adaptation of existing languages, representation of extracted semantic information, knowledge representation for multimedia, semantics-based interaction with multimedia and knowledge extraction from complementary sources.
An important objective of the Network is to implement an open and expandable framework for collaborative research based on a common reference system made up of modular technology: The Knowledge Space of Shared Technology to Bridge the Semantic Gap, "K-Space".

K-Space will integrate complementary expertise, enable resource optimization and sharing, and foster innovative research in semantic inference for semi-automatic annotation and retrieval of multimedia content. Specific dissemination objectives of K-Space are:
-Dissemination of the technical developments of the network across the broad research community
-Influencing and contributing to related knowledge-based multimedia standardisation activities.

Funding Scheme

NoE - Network of Excellence

Coordinator

QUEEN MARY AND WESTFIELD COLLEGE, UNIVERSITY OF LONDON
Address
Mile End Road
E1 4NS London
United Kingdom

Participants (13)

CENTRE FOR RESEARCH AND TECHNOLOGY HELLAS
Greece
Address
6Th Km Charilaou-thermi Road
Thermi-thessaloniki
DEUTSCHES FORSCHUNGSZENTRUM FUER KUENSTLICHE INTELLIGENZ GMBH
Germany
Address
Erwin-schroedinger-strasse 57
67663 Kaiserslautern
DUBLIN CITY UNIVERSITY
Ireland
Address

Glasnevin, Dublin 9
ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE
Switzerland
Address
Ecublens
1015 Lausanne
GROUPE DES ECOLES DES TELECOMMUNICATIONS
France
Address
46, Rue Barrault
75634 Paris 13
INSTITUT EURECOM
France
Address
2229 Route Des Cretes - Sophia Antipolis
Valbonne
INSTITUT NATIONAL DE L'AUDIOVISUEL
France
Address
4, Rue De L'europe
94366 Bry Sur Marne
JOANNEUM RESEARCH FORSCHUNGSGESELLSCHAFT MBH
Austria
Address
Steyrergasse 17
8010 Graz
STICHTING CENTRUM VOOR WISKUNDE EN INFORMATICA
Netherlands
Address
Kruislaan 413
1098SJ Amsterdam
TECHNISCHE UNIVERSITAET BERLIN
Germany
Address
Strasse Des 17. Juni 135
Berlin
THE UNIVERSITY OF GLASGOW
United Kingdom
Address
University Avenue
G12 8QQ Glasgow
UNIVERSITAET KOBLENZ-LANDAU
Germany
Address
Isaac-fulda-allee 3
55124 Mainz
VYSOKA SKOLA EKONOMICKA V PRAZE
Czechia
Address
Nam Winston Churchilla 4
130 67 Praha