Video quality metrics are used to evaluate the fidelity of video content. They provide a consistent quantitative measurement to assess the performance of the encoder.
V-Nova is exploring the benefits of CUDA-accelerated VMAF calculation for several use cases. These include its usefulness in both offline metric calculation and real-time decision-making within the LCEVC (MPEG-5 Part 2) encoding process. The integration of VMAF-CUDA can significantly accelerate offline metric calculations.
V-Nova’s video quality tools, including Video Quality Framework and Parallel Performance Runner (PAPER), processed approximately 20K encoding jobs weekly in 2023. VMAF-CUDA has demonstrated the ability to speed up metric calculation by at least 2x.
Looking ahead to the medium and long term, the real-time, in-loop VMAF calculation facilitated by VMAF-CUDA could offer additional benefits for algorithmic enhancements, such as optimizing LCEVC mode decisions and rate control for this metric.
Full text here: Calculating Video Quality Using NVIDIA GPUs and VMAF-CUDA | NVIDIA Technical Blog