视点间可扩展性与预测多视点视频编码方案

Liu Hai, M. Lini, Lv Huayi
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引用次数: 0

摘要

由于多视点视频的数据量随着摄像机数量的增加呈线性增长,因此有必要对多视点视频数据进行压缩以实现高效的存储和传输。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依赖性和视图间依赖性。本文讨论了不同时间层的视图与时间的相关性以及随机访问性能。在分析MVC编码方案的基础上,提出了一种新的MVC预测结构。该预测结构将分层B图的概念应用于访谈视图,将访谈视图预测应用于无锚点图像组(GOP)。与MVC参考预测编码方案相比,该编码方案的增益可达0.8 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inter-view Scalability and Prediction Multi-view Video Coding Scheme
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.
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