This paper proposes a new method for the selection of sets of omnidirectional views, which contribute together to the efficient representation of a 3D scene. When the 3D surface i...
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
This paper proposes the variable block-size transform and context-based entropy coding techniques for the enhancement layer of FGS (Fine Granularity Scalable) video coding. First,...
This paper describes a pattern classification approach for detecting frontal-view faces via learning a decision boundary. The classification can be achieved either by explicit est...