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

被引：0
|
作者：
Liu, Suxing [1 ,2 ]
An, Ping [1 ,2 ]
Zhang, Zhaoyang [2 ]
Zhang, Qian [1 ,2 ]
Yan, Tao [1 ,2 ]
机构：
[1] Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200072, Peoples R China
[2] Minist Educ, Key Lab Adv Displays & Syst Applicat, Shanghai 200072, Peoples R China
来源：
CIRCUITS SYSTEMS AND SIGNAL PROCESSING | 2009年 / 28卷 / 06期
关键词：
Multi-view video coding; Vector field estimation; Loop constraint; Weighted disparity interpolation; MOTION ESTIMATION;
D O I：
10.1007/s00034-009-9129-0
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
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：11
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