We propose a novel semantic video summarization framework, which generates video skimmings that guarantee both the balanced content coverage and the visual coherence. First, we co...
We propose an approach to adjective-noun composition (AN) for corpus-based distributional semantics that, building on insights from theoretical linguistics, represents nouns as ve...
: We conducted psychophysical experiments to gain insight into the semantic categories that guide the human perception of image similarity. We analyzed the perceptual data using mu...
Abstract. Clustering algorithms based on a matrix of pairwise similarities (kernel matrix) for the data are widely known and used, a particularly popular class being spectral clust...
It is well understood that the key for successful Semantic Web applications depends on the availability of machine understandable meta-data. We describe the Information Grid, a pr...