Low-bit-rate video coding using dense motion field and uncovered background prediction.
It is well known that accurate dense motion field can improve the video coding efficiency. This paper presents a novel Markov random field (MRF) model that estimates both the dense motion and uncovered background fields in image sequences, and the application of these estimates in H.263-based video coding framework.
Lim
K P
KP
School of Applied Science, Nanyang Technological University, Singapore 639798.
Chong
M N
MN
Das
A
A