FGSVQA combines CLIP visual encoding with frequency priors and adaptive branch fusion to predict short-form video quality, reporting SRCC 0.736 and PLCC 0.787 on relevant datasets.
Towards explainable in-the-wild video quality assessment: A database and a language-prompted approach,
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FGSVQA: Frequency-Guided Short-form Video Quality Assessment
FGSVQA combines CLIP visual encoding with frequency priors and adaptive branch fusion to predict short-form video quality, reporting SRCC 0.736 and PLCC 0.787 on relevant datasets.