Multi-View Video Coding Based on Vector Estimation and Weighted Disparity Interpolation

被引：0
|
作者：
Suxing Liu
Ping An
Zhaoyang Zhang
Qian Zhang
Tao Yan
机构：
[1] Shanghai University,School of Communication and Information Engineering
[2] Ministry of Education,Key Laboratory of Advanced Displays and System Application
来源：
Circuits, Systems and Signal Processing | 2009年 / 28卷
关键词：
Multi-view video coding; Vector field estimation; Loop constraint; Weighted disparity interpolation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Aiming at fully exploiting the temporal and spatial redundancy and answering the “Call for Proposals” for multi-view video coding (MVC) issued by MPEG, a MVC scheme based on vector field estimation and weighted disparity interpolation is presented. By extending the loop constraint to multi-view images for a parallel camera model and proposing the novel “vector field estimation” scheme, the temporal and spatial redundancy is significantly reduced. Also, weighted disparity interpolation is performed to predict adjacent disparity vectors. Experimental results over multi-view image sets imply that the coding efficiency is improved about 0.2–0.5 dB compared with previous coding approaches such as H.264/AVC simulcast and JMVM.
引用
收藏
页码：913 / 923
页数：10
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