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Block-shape adaptive inter prediction candidate list in Versatile Video Coding

机译:多功能视频编码中的块形自适应帧内预测候选列表

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Recently, Joint Video Experts Team (JVET) has started the standardization of a new video coding named as Versatile Video Coding (VVC) with the aim of completing by 2020. In HEVC and VVC, each candidate list of Merge/AMVP (Advanced Motion Vector Prediction) is constructed from the motion information of spatial/temporal neighboring blocks to enhance the performance of inter predictive coding by utilizing available motion information. In this paper, we propose a method to derive candidate lists of Merge/AMVP with more reliable motion information having high correlation by considering the block shape of the current Coding Unit (CU). Experiment results show the performance of the proposed method in the reference SW codec of VVC named as VVC Test Model (VTM).
机译:最近,联合视频专家团队(JVET)已经开始标准化名为多功能视频编码(VVC)的新视频编码,目的是在2020年完成。在HEVC和VVC中,每个候选者/ AMVP列表(高级运动矢量预测)由空间/时间相邻块的运动信息构成,通过利用可用的运动信息来增强预测编码的性能。在本文中,我们提出了一种通过考虑当前编码单元(CU)的块形状而导出具有高相关的更可靠的运动信息的合并/ amvp的候选列表的方法。实验结果表明,在VVC的参考SW编解码器中所提出的方法的性能,名为VVC测试模型(VTM)。

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