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Dense disparity estimation in a multi-view distributed video coding system

机译:多视图分布式视频编码系统中的密集视差估计

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Distributed video coding (DVC) is a recent paradigm which aims at transferring part of the coding complexity from the encoder to the decoder. The performance of such a coding scheme strongly depends on the capacity to estimate correlation at the decoder and, consequently, on the side information quality. In this paper we consider a multi-view DVC framework and propose a very efficient dense disparity estimation technique for side information construction, based on a variational formulation. The simulation results show that our approach clearly outperforms the existing methods for inter-view side-information generation.
机译:分布式视频编码(DVC)是最近的一种范例,旨在将部分编码复杂度从编码器传输到解码器。这种编码方案的性能在很大程度上取决于在解码器处估计相关性的能力,并且因此取决于辅助信息质量。在本文中,我们考虑了一个多视图DVC框架,并基于变分公式,提出了一种用于边信息构建的非常有效的密集视差估计技术。仿真结果表明,我们的方法明显优于现有的视图间边信息生成方法。

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