"The last standard Versatile Video Codec (VVC), aims to im- prove the compression efficiency by saving around 50% of bitrate at the same quality compared to its predecessor High Efficiency Video Codec (HEVC). However, this comes with a significant rise in computational complexity due to the new added tools in the encoder side. This paper proposes a speed- up technique to accelerate the partitioning process in VVC based on multi-output regression model that predicts a suit- able split mode for coding unit (CU) of size 32 × 32. Expire- ment results shows that our approach can reduce the complex- ity up to 43% with 0.96% BD-rate loss."
RD-Cost Regression Speed Up Technique For vvc intra block Partitioning
RD-Cost Regression Speed Up Technique For vvc intra block Partitioning
RD-Cost Regression Speed Up Technique For vvc intra block Partitioning
Research Paper / Apr 2024 / Compression, Video coding, Machine learning/ Deep learning /Artificial Intelligence
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