Vision-language-model-based video quality assessment
This work introduces a comprehensive approach to video quality assessment (VQA) by both traditional deep-learning-based methods as well as vision-language-model-based methods. Through the development of the DIVIDE-3k database and the DOVER model, we offer nuanced insights into the multifaceted natur...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/175035 |