Title :
Low-bit-rate video coding using dense motion field and uncovered background prediction
Author :
Lim, K.P. ; Chong, M.N. ; Das, A.
Author_Institution :
Sch. of Appl. Sci., Nanyang Technol. Inst., Singapore
fDate :
1/1/2001 12:00:00 AM
Abstract :
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
Keywords :
Markov processes; image sequences; motion estimation; video coding; H.263-based video coding; Markov random field model; dense motion field estimation; image sequences; low-bit-rate coding; motion estimation; occlusion field estimation; uncovered background prediction; video coding; Bayesian methods; Bidirectional control; Image reconstruction; Image sequences; Layout; Markov random fields; Motion estimation; Video coding;
Journal_Title :
Image Processing, IEEE Transactions on
