Low-bit-rate video coding using dense motion field and uncovered background prediction

被引：1
|
作者：
Lim, KP [1 ]
Chong, MN [1 ]
Das, A [1 ]
机构：
[1] Nanyang Technol Univ, Sch Appl Sci, Singapore 639798, Singapore
来源：
IEEE TRANSACTIONS ON IMAGE PROCESSING | 2001年 / 10卷 / 01期
关键词：
dense motion field; H.263; Markov random field; video coding;
D O I：
10.1109/83.892453
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：164 / 166
页数：3
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