In this paper, We propose an efficient compression method to encode the geometry of 3D mesh sequences of objects sharing the same connectivity. Our approach is based on the cluste...
We propose a multi-modal object tracking algorithm that combines appearance, motion and audio information in a particle filter. The proposed tracker fuses at the likelihood level ...
We propose a novel system-level error tolerance approach specifically targeted for multimedia compression algorithms. In particular we focus on the motion estimation process perf...
This paper presents a fast algorithm for H.264 fractional motion estimation (ME). In H.264 ME is the most time consuming component. The ME process consists of two stages: integer ...
The aim of this paper is to examine the effect of camera motion in user generated video with respect to human visual attention. Having a more accurate human attention model is par...