通过边缘信息预测最优几何分割，提升视频编码效率。
Edge-directed geometric partitioning for versatile video coding
- 利用时空边缘信息构建最可能模式列表，预测最佳分割方式。
- 相比VTM-6.0，平均节省0.58%（RA）和1.00%（LDB）码率。
- 特别改善了物体边界的视觉质量，适合视频压缩研究者。
为提升编码性能，下一代VVC标准提出了几何分割（GEO），提供140种分割候选。最优GEO模式的索引需显式传输，造成开销。针对不同编码单元（CU）的结构特性及空间邻块与时间对应块间的相关性，本文提出基于最可能模式（MPM）列表的GEO模式预测策略，以减少索引开销并提升编码效率。基于分割模式与物体边界的强相关性，进一步提出一种边缘引导的几何分割方案，根据时空边缘信息构建MPM列表。该方法在RA和LDB配置下分别实现平均0.58%和1.00%的客观BD-rate增益，同时显著提升物体边界的视觉质量。
原文摘要 · Abstract (English)
To improve the coding performance, geometric partition (GEO) was proposed for the upcoming VVC standard. GEO provides 140 partition candidates. The index of optimal GEO mode needs to be signaled explicitly. Considering different structural characteristics of different CUs and the correlation between spatial adjacent blocks and temporal collocated blocks, we propose a GEO mode prediction strategy by constructing a Most Probable Mode (MPM) list to reduce the overhead of GEO index and improve coding efficiency. Based on the observation of the high correlation between the partition mode and object boundaries, an edge-directed geometric partition scheme is proposed to construct the MPM list according to spatio-temporal edge information. The proposed method provides an objective BD-rate gain of 0.58% and 1.00% on average for RA and LDB configurations compared to VTM-6.0. Besides, it also promotes the visual quality of object boundaries.
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