计算机与现代化Issue(8)：19-22,4.DOI:10.3969/j.issn.1006-2475.2013.08.005
基于虚拟视图和低秩矩阵恢复的视点间预测
Inter-view Prediction Based on Virtual-view and Low-rank Matrix Recovery
刘如意1
作者信息
- 1. 北京工业大学计算机学院,北京100124
- 折叠
摘要
Abstract
The new generation of multi-view video introduced depth map for virtual view synthesis.In order to make full use of the depth information and improve the compression efficiency,this paper presents a prediction method based on the virtual view and low-rank matrix recovery.First,the paper generates the virtual view by the adjacent views and depth maps,and then searches for several matching blocks from adjacent views using the corresponding block of virtual view as reference block.Finally,this paper uses low-rank matrix recovery to de-noise the prediction block.The experimental results show that it can save about 2％ bit-rate than the original JMVC inter-view prediction.关键词
视频编码/多视点视频/虚拟视图合成/低秩矩阵恢复Key words
video coding/ multi-view video/ virtual view synthesis/ low-rank matrix recovery分类
信息技术与安全科学引用本文复制引用
刘如意..基于虚拟视图和低秩矩阵恢复的视点间预测[J].计算机与现代化,2013,(8):19-22,4.
