In this paper we describe a real-time system for AR/MR rendering applications in a painterly style. Impressionistic images are created using a large number of brush strokes, which...
This paper describes a comprehensive approach to construct robust multi-modal video classification on a specific digital source, broadcast news. Broadcast news has a very stable s...
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
News videos constitute an important source of information for tracking and documenting important events. In these videos, news stories are often accompanied by short video shots t...
We address the problem of unsupervised image auto-annotation with probabilistic latent space models. Unlike most previous works, which build latent space representations assuming ...