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Hybrid stopping model-based fast PU and CU decision for 3D-HEVC texture coding

机译:基于混合停止模型的快速PU和Cu决策3D HEVC纹理编码

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As an extension of High-Efficiency Video Coding (HEVC) standard, 3D-HEVC needs to encode multiple texture views and depth maps, which further increases the computational complexity. To reduce the complexity of dependent texture view coding, a fast prediction unit (PU) and coding unit (CU) decision method is proposed for 3D-HEVC based on hybrid stopping model. The inter-view correlation is used as a priori information to roughly predict the possible optimal PU and CU sizes. Then, by exploiting the encoded posterior information, the rate distortion cost correlation and the code block flag, the optimal PU and CU are further examined as being optimal or not. Experimental results show that the proposed fast PU and CU decision method achieves 52.7% encoding time saving on average with negligible loss of coding efficiency for 3D-HEVC-dependent texture view coding.
机译:作为高效视频编码(HEVC)标准的扩展,3D-HEVC需要编码多个纹理视图和深度图,这进一步提高了计算复杂性。为了降低依赖纹理视图编码的复杂性,基于混合停止模型,为3D-HEVC提出了一种快速预测单元(PU)和编码单元(CU)决策方法。视图间相关性用作先验信息以大致预测可能的最佳PU和Cu尺寸。然后,通过利用编码的后部信息,进一步检查速率失真成本相关性和代码块标志,最佳PU和Cu是最佳的。实验结果表明,该求快PU和Cu决策方法的平均值达到了52.7%的编码节省时间,可忽略3D-HEVC依赖性纹理视图编码的编码效率损失。

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