Calculating Video Quality Using NVIDIA GPUs and VMAF-CUDA

Picture of flowers split between VMAF-CUDA at 1424 FPS and CPU at 1034 FPS.

Video quality metrics are used to evaluate the fidelity of video content. They provide a consistent quantitative measurement to assess the performance of the…Picture of flowers split between VMAF-CUDA at 1424 FPS and CPU at 1034 FPS.

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. VMAF combines human vision modeling with machine learning techniques that are continuously evolving, enabling it to adapt to new content. VMAF excels in aligning with human visual perception by combining detailed analysis…

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Source:: NVIDIA