IEEE
International Conference on Multimedia and Expo,
July-Aug. 2001
Adaptive Frame Prediction
For Foveation Scalable Video Coding
Ligang
Lu1, Zhou Wang2,
and Alan C. Bovik2
1 IBM T. J. Watson Research Center, Yorktown
Heights, NY 10598
2 Laboratory for Image and Video Engineering
(LIVE), Department of Electrical and Computer Engineering, The University of
Texas at Austin, Austin, TX 78712-1084
Abstract: Embedded rate scalable video coding allows
for the extraction of coded visual information at continuously varying bit rates
from a single compressed bitstream. This is a very attractive feature for many
multimedia communication applications. Motion estimation (ME) /motion
compensation (MC) techniques are widely employed in various video coding
systems to reduce temporal information redundancy. One of the major challenging
problems in ME/MC based rate scalable video coding is how to generate the
prediction frame from the previous frame to match the current frame. This
problem is more difficult in rate scalable coding than in fixed rate coding
because the decoding data rate is unavailable to the encoder. We propose an
adaptive frame prediction scheme for foveation scalable video coding (FSVC),
which is a new video coding algorithm that combines a foveation-based human
visual system (HVS) model with a wavelet-based rate scalable coding algorithm.
The new frame prediction algorithm provides an adaptive mechanism to control
the prediction errors while reduce error propagation.