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Efficient inter-prediction depth coding algorithm based on depth map segmentation for 3D-HEVC

机译:基于3D-HEVC深度映射分段的高效互预测深度编码算法

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摘要

The 3D extension of High Efficiency Video Coding (3D-HEVC) is the latest international 3D video coding standard, which enhances the compression efficiency of 3D videos with multi-view plus depth (MVD) format. However, it is at the cost of increasing coding complexity. Therefore, this paper proposes a fast inter-prediction algorithm based on depth segmentation for the depth coding of 3D-HEVC to reduce the coding complexity of the depth map. We aim to reduce the coding time by efficiently utilizing the properties of the depth map. First, the proposed algorithm divides a depth map into background, middle ground and foreground, based on automatic thresholding technique. Then, we adjust the search range according to the classification of the coding tree unit (CTU). In addition, an early termination decision by utilizing the correlation of spatial, temporal, and inter-view neighboring CTUs and a fast prediction unit mode decision are also proposed to reduce coding time. The experimental results show that the proposed algorithm can reduce the depth coding time and still maintain good video quality.
机译:高效视频编码(3D-HEVC)的3D扩展是最新的国际3D视频编码标准,增强了多视图加深度(MVD)格式的3D视频的压缩效率。然而,它是增加编码复杂性的成本。因此,本文提出了一种基于深度分割的快速预测算法,用于3D-HEVC的深度编码,以减少深度图的编码复杂度。我们的目标是通过有效利用深度图的性质来减少编码时间。首先,该算法基于自动阈值化技术将深度映射划分为背景,中间地和前景。然后,根据编码树单元(CTU)的分类,我们调整搜索范围。另外,还提出了利用相邻CTU的空间,时间和视图间的相关性和快速预测单元模式决定的早期终止决定来减少编码时间。实验结果表明,该算法可以降低深度编码时间并保持良好的视频质量。

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