No-Reference Video Quality Assessment Using Distortion Learning and Temporal Attention
The rapid growth of video consumption and multimedia applications has increased the interest of the academia and industry in building tools that can evaluate perceptual video quality. Since videos might be distorted when they are captured or transmitted, it is imperative to develop reliable methods...
| Autori principali: | , , , |
|---|---|
| Natura: | Articolo |
| Lingua: | English |
| Pubblicazione: |
IEEE
2022-01-01
|
| Serie: | IEEE Access |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/9757199/ |