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CVD2014 - A database for evaluating no-reference video quality assessment algorithms
[article]
2016
Zenodo
The CVD video database is developed to provide an useful tool for researchers in the validation and developing processes of no-reference (NR) objective video quality assessment (VQA) algorithms. It consists of 234 videos from five different scenes captured by 78 different cameras (mobile phones, compact camera, video camera, SLR). The subjective experiments are conducted following the Single-Stimulus (SS) procedure to collect ratings of video quality. Setup We implement our experiments
doi:10.5281/zenodo.2646314
fatcat:r4qf2kfkgnf7hozy2hbu5ahyke