Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
This paper presents the systems and results for the Event Detection task of the TRECVid 2008 evaluation campaign. The kind of events addressed are single-actor, without requiring ...
Andreas Stergiou, Aristodemos Pnevmatikakis, Lazar...
The union of Interactive Digital TV (IDTV) and Web promotes the development of new interactive multimedia services, enjoyable while watching TV even on the new handheld digital TV...
Stefano Ferretti, Marco Roccetti, Johannes Andrich
Cast shadows induced by moving objects often cause serious problems to many vision applications. We present in this paper an online statistical learning approach to model the backg...