摘要
多视点视频编码(Multiview Video Coding,MVC)利用运动估计和视差估计取得了较好的编码性能,但在易错的网络环境下传输MVC视频码流,将导致差错在视点内与视点间进行扩散.针对多视点视频的编码特性,提出了一种端到端的失真度估计模型,并将此模型与率失真优化相结合得到一种基于联合信源信道的编码模式选择算法.实验结果表明该方法能够在易错网络环境下有效的提高多视点视频的传输效率.
Multiview video coding （MVC） has employed motion estimation and disparity estimation to achieve the highest coding efficiency. While the compressed MVC video bit-stream is transmitted through error-prone networks, transmission error will propagate along intra-view and inter-view direction. Based on the characteristic of MVC, we propose a new end-to-end distortion es- timation model, and incorporate the model with rate distortion optimization to obtain the joint source-channel coding mode selection algorithm. Experimental results demonstrate the proposed algorithm has a superior transmission efficiency improvement for multiview video transmission over error-prone networks.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2012年第12期2544-2548,共5页
Acta Electronica Sinica
基金
国家自然科学基金(No.60972111
No.61036008)
关键词
多视点视频编码
失真度估计
率失真优化
模式选择
multiview video coding
distortion estimation
rate distortion optimization
mode selection
