Robust tracking of abrupt motion is a challenging task
in computer vision due to the large motion uncertainty. In
this paper, we propose a stochastic approximation Monte
Carlo (...
In this paper we present a system to robustly estimate the 3D position of a human head. Before the face model is positioned in the initial frame, it is adapted to the 3D scan of t...
Axel Weissenfeld, Onay Urfalioglu, Kang Liu, J&oum...
Multi-reference frame motion estimation improves the accuracy of motion compensation in video coding. However, it also increases computational complexity dramatically. In this pap...
This paper proposes a subband adaptive motion compensated temporal filtering (MCTF) technique for scalable video coding and introduces a revised synthesis gain model for the quant...
In conventional video coding, the complexity of an encoder is generally much higher than that of a decoder because of operations such as motion estimation consume significant com...