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Improved disparity vector derivation for inter-view residual prediction in 3D-HEVC

机译:改进的视差矢量推导用于3D-HEVC中的视图间残差预测

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Inter-view residual prediction and advanced residual prediction (ARP) are efficient tools for coding dependent views of 3D video. It can predict the residue of motion compensated prediction (MCP) using the additional derived disparity vector. However, its coding performance depends on the accuracy of disparity vector derivation. In this paper, we propose the improved disparity vector derivation scheme for ARP. In the proposed scheme, the disparity vector is derived from the corresponding block in the reference picture. And that corresponding block is pointed by the same as MCP. Moreover, the disparity vector can be derived not only from the current reference block, but also from the blocks on the all other reference pictures included in the current reference picture lists. In addition, the disparity vector can be derived from both of the blocks predicted by disparity compensated prediction (DCP) and the blocks predicted by MCP and ARP because the derived disparity vector for ARP is stored in additional disparity vector field. Experimental results show that 0.2% bitrate reduction of synthesized views, and up to 0.5% for each dependent views in the reference software of 3D-HEVC.
机译:视图间残差预测和高级残差预测(ARP)是用于对3D视频的相关视图进行编码的有效工具。它可以使用其他派生的视差矢量来预测运动补偿预测(MCP)的残差。但是,其编码性能取决于视差矢量推导的精度。在本文中,我们提出了一种改进的ARP视差矢量推导方案。在所提出的方案中,视差矢量是从参考图片中的相应块导出的。该对应的块由与MCP相同的对象指向。此外,视差矢量不仅可以从当前参考块导出,而且可以从当前参考图片列表中包括的所有其他参考图片上的块导出。另外,由于导出的用于ARP的视差矢量存储在附加的视差矢量字段中,因此可以从通过视差补偿预测(DCP)预测的块以及通过MCP和ARP预测的块两者导出视差矢量。实验结果表明,在3D-HEVC的参考软件中,合成视图的比特率降低了0.2%,每个从属视图的比特率降低了0.5%。

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