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首页> 外文期刊>Circuits and Systems for Video Technology, IEEE Transactions on >Epipolar Geometry-Based Side Information Creation for Multiview Wyner–Ziv Video Coding
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Epipolar Geometry-Based Side Information Creation for Multiview Wyner–Ziv Video Coding

机译:基于对极几何的多视图Wyner–Ziv视频编码辅助信息创建

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摘要

The side information (SI) quality significantly influences the rate-distortion (RD) performance of both monoview and multiview Wyner–Ziv (WZ) video coding. Efficient multiview WZ video coding schemes typically exploit both temporal and inter-view correlation during the SI creation process targeting to achieve high SI quality and, thus, high RD performance. In this context, the overall SI creation process typically involves fusing a temporally created SI with an inter-view created SI. Consequently, the final SI quality does not only depend on the temporal and inter-view SI creation techniques but also on the fusion process. Thus, the main objective of this paper is to propose an efficient SI creation solution for multiview WZ video coding by simultaneously tackling the two main issues aforementioned with the following technical novelty: 1) a disparity-based view synthesis technique accounting for the scene geometry to create high quality inter-view SI and 2) a time-view driven fusion technique efficiently selecting, on a pixel basis, the temporal or inter-view SI depending on which one is estimated to be closer the original WZ data. Experimental results show considerable RD performance improvements, notably gains up to 2 dB or more, regarding the best performing state-of-the-art multiview WZ video coding solutions available.
机译:辅助信息(SI)的质量极大地影响了单视图和多视图Wyner-Ziv(WZ)视频编码的速率失真(RD)性能。高效的多视图WZ视频编码方案通常在以SI创建过程为目标的过程中同时利用时间和视图间相关性,以实现高SI质量,从而实现高RD性能。在这种情况下,整个SI创建过程通常涉及将临时创建的SI与视图间创建的SI融合在一起。因此,最终的SI质量不仅取决于时间和视图间SI创建技术,而且还取决于融合过程。因此,本文的主要目的是通过以下技术新颖性同时解决上述两个主要问题,从而为多视图WZ视频编码提供一种有效的SI创建解决方案:1)一种基于视差的视图合成技术,将场景几何考虑在内。创建高质量的视图间SI和2)一种时域驱动的融合技术,该方法基于像素有效地选择了时间或视图间SI,具体取决于估计哪个更接近原始WZ数据。实验结果表明,相对于可用的最佳性能的最先进的多视图WZ视频编码解决方案,RD的性能得到了显着改善,尤其是高达2 dB或更高。

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