In this paper, we propose a new manifold representation capable of being applied for visual speech recognition. In this regard, the real time input video data is compressed using P...
Dahai Yu, Ovidiu Ghita, Alistair Sutherland, Paul ...
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Joj...
Robustly tracking moving objects in video sequences is one of the key problems in computer vision. In this paper we introduce a computationally efficient nonlinear kernel learning...
Chunhua Shen, Anton van den Hengel, Michael J. Bro...
This paper presents a rate control algorithm for the dominant discrete cosine transform (DCT) -based video coding. It is developed based on a more accurate rate-distortion (RD) mo...
The development of 3D visual simulation systemson inexpensive, commercially available graphics workstations is occurring today and will be commonplace in the near future. Such sys...
Michael Zyda, David R. Pratt, James G. Monahan, Ka...