We present a new blind deconvolution method for video sequence. It is derived following an inverse problem approach in a Bayesian framework. This method exploits the temporal cont...
Ferreol Soulez, Eric Thiebaut, Yves Tourneur, Alai...
This paper proposes a method for analyzing and synthesizing video sequences, specifically suited for image sequences of natural phenomena. We combine a low-dimensional representat...
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Abstract— This paper proposes a novel approach for motion primitive segmentation from continuous full body human motion captured on monocular video. The proposed approach does no...
We introduce a behavior-based similarity measure which tells us whether two different space-time intensity patterns of two different video segments could have resulted from a simi...