We present a system and a set of tools for producing special effects in film/video making by applying image processing and human centered computing techniques. A combination of s...
Chun-Hao Wang, Yongjin Wang, Meifeng Lian, Bruce E...
Most work in action recognition deals with sequences acquired by stationary cameras with fixed viewpoints. Due to the camera motion, the trajectories of the body parts contain no...
A popular framework for the interpretation of image sequences is based on the layered model; see e.g. Wang and Adelson [8], Irani et al. [2]. Jojic and Frey [3] provide a generativ...
In this paper we address the problem of detecting shots of subjects that are interviewed in news sequences. This is useful since usually these kinds of scenes contain important an...
The Asynchronous Hidden Markov Model (AHMM) models the joint likelihood of two observation sequences, even if the streams are not synchronised. We explain this concept and how the...
Marc Al-Hames, Claus Lenz, Stephan Reiter, Joachim...