Abstract :
|
A fundamental module in modern video coders is the frame
predictor which provides the data needed to code frames from previous
ones. In PCA-based predictors, the frames are represented as their
projection in a proper basis (eigenspace) obtained from the
convariance matrix.
In this paper, we investigate
the performance of several algorithms in order to obtain an adequate
eigenspace. Experiment results show that the best performance is
obtained when the eigenspace is updated taking into account the
non-stationary nature of face images. The technique offers a
competitive alternative to P-predictive and B-predictive frames.
|
|
