This paper describes a new framework for video matting, the process of pulling a high-quality alpha matte and foreground from a video sequence. The framework builds upon technique...
Yung-Yu Chuang, Aseem Agarwala, Brian Curless, Dav...
We present a method to simultaneously estimate 3d body pose and action categories from monocular video sequences. Our approach learns a lowdimensional embedding of the pose manifol...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
In this paper, we provide an accurate and fully analytical model for the distortion due to lost frames in wireless video transmission. Our analysis combines the properties of the ...
Ruly Lai-U Choi, Michel T. Ivrlac, Eckehard G. Ste...
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
Recovery of dynamic scene properties from multiple videos usually requires the manipulation of synchronous (simultaneously captured) frames. This paper is concerned with the autom...
D. W. Pooley, Michael J. Brooks, Anton van den Hen...