title: Low-bit-rate video coding using dense motion field and uncovered background prediction.
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.
authors.affiliation: School of Applied Science, Nanyang Technological University, Singapore 639798.
authors.forename: K P
authors.initials: KP
authors.lastname: Lim
authors.forename: M N
authors.initials: MN
authors.lastname: Chong
authors.forename: A
authors.initials: A
authors.lastname: Das