To date, Versatile Video Coding (VVC) has a more magnificent overall performance than High Efficiency Video Coding (HEVC). The Quadtree with Nested Multi-Type Tree (QTMT) coding block structure can substantially enhance video coding quality in VVC. However, the coding gain also leads to a greater coding complexity. Therefore, this letter proposes a Fast Decision Scheme Based on Structural Similarity Index Metric Variation (FDS-SSIMV) to solve this problem. Firstly, the Structural Similarity Index Metric Variation (SSIMV) characteristic among the sub coding units of the spit mode is illustrated. Next, to evaluate the SSIMV value, SSIMV measure strategies are designed for different split modes in this letter. Then, the desired split modes are selected by the SSIMV values. Experimental results show that the proposed method achieves 64.74\% average encoding Time Saving (TS) with a 2.79\% Bj$\varnothing$ntegaard Delta Bit Rate (BDBR), outperforming the benchmarks.
翻译：迄今为止,Versatile视频编码(VVC)的总体性能比高效率视频编码(HEVC)要高得多。 带有Nested 多功能树(QTMT)编码块块结构的四方可以大大提高VVC的视频编码质量。 然而,编码增益还导致更大的编码复杂性。 因此,本信提议了一个基于结构相似指数(FDS-SSIMV)的快速决策方案来解决这一问题。 首先,说明了喷口方式分编码单元中的结构相似性指数(SSIMV)特征。 其次,为了评价SSIMV值,SSIMV衡量战略是针对本字母中不同的分裂模式设计的。 然后,SSIMV值选择了理想的分裂模式。实验结果显示,拟议的方法达到了64.74 ⁇ 平均编码时间节省(TS),比基准要高2.79 ⁇ Bj$\varngengaard Delta Bit率(BDBBBBBR)。
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