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A multi-view video coding based on correlation analysis

机译:基于相关分析的多视点视频编码

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摘要

Joint multi-view video model (JMVC(6.0)) proposed the fixed view-temporal prediction structure for the standardization multi-view video coding (MVC), which is difficult to cope with various characteristics with a fixed prediction structure. A multi-view coding scheme based on correlation analysis is proposed in this paper, which differs from the conventional MVC schemes with single inter-view prediction structure. Experimental results show that the proposed SMVC scheme can improve coding efficiency and random access. The simulation result shows that this proposed method improve random access by 56 % on average with PSNR increase 0. 13 dB on average.
机译:联合多视点视频模型(JMVC(6.0))提出了用于标准化多视点视频编码(MVC)的固定视点时间预测结构,该结构很难用固定的预测结构来应对各种特征。提出了一种基于相关性分析的多视图编码方案,该方案不同于传统的具有单个视图间预测结构的MVC方案。实验结果表明,所提出的SMVC方案可以提高编码效率和随机访问。仿真结果表明,该方法将随机接入平均提高了56%,PSNR平均提高了0. 13 dB。

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