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Hacking VMAF and VMAF NEG: vulnerability to different preprocessing methodsстатья
- Авторы: Siniukov Maksim, Antsiferova Anastasia, Kulikov Dmitriy, Vatolin Dmitriy
- Сборник: AICCC'21: 2021 4th Artificial Intelligence and Cloud Computing Conference
- Год издания: 2021
- Первая страница: 89
- Последняя страница: 96
- DOI: 10.1145/3508259.3508272
- Аннотация: Video-quality measurement plays a critical role in the development of video-processing applications. In this paper, we show how video preprocessing can artificially increase the popular quality metric VMAF and its tuning-resistant version, VMAF NEG. We propose a pipeline that tunes processing-algorithm parameters to increase VMAF by up to 218.8%. A subjective comparison revealed that for most preprocessing methods, a video's visual quality drops or stays unchanged. We also show that some preprocessing methods can increase VMAF NEG scores by up to 23.6%.
- Добавил в систему: Анциферова Анастасия Всеволодовна
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | Полный текст | Hacking_VMAF_and_VMAF_NEG_compressed.pdf | 354,0 КБ | 19 августа 2021 [antsiferova_anastasiia] |