Optimization Of Motion Compensation Based On GPU And CPU For VVC Decoding

Abstract

To achieve higher compression efficiency, the new developing video coding standard Versatile Video Coding(VVC) introduced a large amount of new coding technologies, which increases the computational complexity of the decoder significantly. Among these technologies, the inter prediction methods, including affine motion compensation and decoder side motion vector refinement(DMVR), make inter prediction become the most time consuming module and bring new challenges for real-time decoding. In this paper, we proposed an efficient GPU-based motion compensation scheme to speedup the decoding. Through re-partition of coding unit(CU) according to the data dependency and different thread organization methods for different situation, the computational resources of GPU are utilized efficiently. Experiments on NVIDIA GeForce RTX 2080Ti GPU showed the motion compensation can be done in 5ms for Ultra HD 4K, which means the decoding speed is accelerated by 16 times compared to the VVC reference software on CPU.