Depth Sequence Coding With Hierarchical Partitioning and Spatial-Domain Quantization
Depth Sequence Coding With Hierarchical Partitioning and Spatial-Domain Quantization
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DOI：
10.1109/tcsvt.2019.2897403
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发表时间：
2020-03
影响因子：
8.4
通讯作者：
Shampa Shahriyar;M. Murshed;Mortuza Ali;M. Paul
中科院分区：
文献类型：
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作者：
Shampa Shahriyar;M. Murshed;Mortuza Ali;M. Paul
3D-HEVC中的深度编码由于块级边缘近似而使对象形状变形，并且由于深度数据中的帧级聚类趋势而缺乏有效的技术来利用统计冗余以获得接近无损质量的更高编码增益。本文提出了一种独立的单视点深度序列编码器，它通过将量化限制在空间域来隐式地保留边缘，并利用一种新的基于二叉树的分解（BTBD）技术来有效地利用帧级聚类趋势。BTBD可以有效地利用帧级语法、运动分量和残差中的统计冗余，具有更少的块级预测/编码模式和更简单的上下文建模以用于上下文自适应算术编码。与3D-HEVC中的深度编码器相比，所提出的深度编码器在无损到近无损质量范围内实现了显著更低的比特率以用于单视图编码，并且从以相同比特率压缩的深度图和对应的纹理帧渲染了上级质量的合成视图。
Depth coding in 3D-HEVC deforms object shapes due to block-level edge-approximation and lacks efficient techniques to exploit the statistical redundancy, due to the frame-level clustering tendency in depth data, for higher coding gain at near-lossless quality. This paper presents a standalone mono-view depth sequence coder, which preserves edges implicitly by limiting quantization to the spatial-domain and exploits the frame-level clustering tendency efficiently with a novel binary tree-based decomposition (BTBD) technique. The BTBD can exploit the statistical redundancy in frame-level syntax, motion components, and residuals efficiently with fewer block-level prediction/coding modes and simpler context modeling for context-adaptive arithmetic coding. Compared with the depth coder in 3D-HEVC, the proposed one has achieved significantly lower bitrate at lossless to near-lossless quality range for mono-view coding and rendered superior quality synthetic views from the depth maps, compressed at the same bitrate, and the corresponding texture frames.