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Inter-view Scalability and Prediction Multi-view Video Coding Scheme

机译:视图间可伸缩性和预测多视图视频编码方案

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Since the data size of the multi-view video increases at a linear speed with the increase of cameras number, it is necessary to compress multi-view video data for efficient storage and transmission. An efficient typical multi-view video coding (MVC) coding scheme can exploit temporal, as well as inter-view dependencies between adjacent cameras. This paper discusses the correlation of views and temporal in the different temporal layer and random access performance. We proposes a novel MVC prediction structure based on the analysis of the MVC coding schemes. The prediction structure applies the concept of hierarchical B pictures to inter-view and inter-view prediction to no-anchor images of group of pictures (GOP). The coding scheme proposed achieves up to 0.8 dB gain compared to the MVC reference prediction coding scheme.
机译:由于多视点视频的数据大小随着摄像机数量的增加而以线性速度增加,因此有必要压缩多视点视频数据以进行有效的存储和传输。一种有效的典型多视图视频编码(MVC)编码方案可以利用相邻摄像机之间的时间以及视图间依存关系。本文讨论了不同时间层中视图与时间的相关性以及随机访问性能。我们基于对MVC编码方案的分析,提出了一种新颖的MVC预测结构。预测结构将分层B图片的概念应用于视图间,将视图间预测应用于图片组(GOP)的无锚图像。与MVC参考预测编码方案相比,提出的编码方案可实现高达0.8 dB的增益。

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