FAST-VQA: efficient end-to-end video quality assessment with fragment sampling
Current deep video quality assessment (VQA) methods are usually with high computational costs when evaluating high-resolution videos. This cost hinders them from learning better video-quality-related representations via end-to-end training. Existing approaches typically consider naive sampling to re...
| Main Authors: | , , , , , , , |
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| Other Authors: | |
| Format: | Conference Paper |
| Language: | English |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10356/178453 https://link.springer.com/chapter/10.1007/978-3-031-20068-7_31 |