---
title: "V-Nova mentioned on NVIDIA Partner success stories - \"Calculating Video Quality Using NVIDIA GPUs and VMAF-CUDA\" - V-Nova"
description: Video quality metrics are used to evaluate the fidelity of video content. They provide a consistent quantitative measurement to assess the performance of
image: https://campaign.v-nova.com/hubfs/Imported_Blog_Media/v-nova-video-compression-technology-May-22-2024-10-14-40-5612-AM.png
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# V-Nova mentioned on NVIDIA Partner success stories - "Calculating Video Quality Using NVIDIA GPUs and VMAF-CUDA"

[V-Nova](https://campaign.v-nova.com/news/author/v-nova)

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.

- **Peak signal-to-noise ratio** (PSNR): A long-established quality metric that compares the pixel values of the reference image to a degraded one.
-  
- **Structural similarity index measure** (SSIM): Compares luminance, contrast, and structure of the degraded image to the original one.
-  
- **Video Multi-Method Assessment Fusion** (VMAF): Introduced by Netflix, this metric attempts to accurately capture human visual perception.
-  

### V-Nova

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](https://developer.nvidia.com/blog/calculating-video-quality-using-nvidia-gpus-and-vmaf-cuda/)

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