Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

MSU Video Quality Metrics Benchmark Invitation #43

Open
msm1rnov opened this issue Dec 7, 2022 · 0 comments
Open

MSU Video Quality Metrics Benchmark Invitation #43

msm1rnov opened this issue Dec 7, 2022 · 0 comments

Comments

@msm1rnov
Copy link

msm1rnov commented Dec 7, 2022

Hello! We kindly invite you to participate in our video quality metrics benchmark. You can submit CNNIQA to the benchmark, following the submission steps, described here. The dataset distortions refer to compression artifacts on professional and user-generated content. The full dataset is used to measure methods overall performance, so we do not share it to avoid overfitting. Nevertheless, we provided the open part of it (around 1,000 videos) within our paper "Video compression dataset and benchmark of learning-based video-quality metrics", accepted to NeurIPS 2022.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant