Knowledge Space of Semantic Inference for Automatic Annotation and retrieval of Multimedia Content - K-Space

K-Space is a network of leading research teams from academia and industry conducting integrative research and dissemination activities in semantic inference for semi-automatic annotation and retrieval of multimedia content. K-Space exploits the complementary expertise of project partners, enables resource optimization and fosters innovative research in the field. The aim of K-Space research is to narrow the gap between lowlevel 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: The Semantic Gap. Specifically, K-Space integrative research focus on three areas: Content-based multimedia analysis; Knowledge extraction and Semantic multimedia.