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

页码：164 / 166

页数：3

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