We propose a new model for the probabilistic estimation of continuous state variables from a sequence of observations, such as tracking the position of an object in video. This ma...
In recent years, research and development in the field of machine learning and classification techniques have gained paramount importance. The future generation of intelligent e...
We present a system to segment the medial edges of the vocal folds from stroboscopic video. The system has two components. The first learns a color transformation that optimally d...
Sonya Allin, John M. Galeotti, George D. Stetten, ...
Lagrangian minimization is one of the most powerful tools for Rate-Distortion optimal coding mode selection. However, in the latest video compression standard H.264/AVC, the total...
An efficient scalable predictive coding method is proposed for the Wyner-Ziv problem, using nested lattice quantization followed by multi-layer Slepian-Wolf coders (SWC) with laye...