A concatenation of VCA complexity residuals and SSIM fed into an XGBoost regressor reaches PLCC 0.787 on the VQA Grand Challenge test set, though the method is not truly reduced-reference.
Ensuring a consistent and satisfactory user experience requires accurate and scalable Video Qual- ity Assessment (VQA) models in such heterogeneous envi- ronments
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Learning Quality from Complexity and Structure: A Feature-Fused XGBoost Model for Video Quality Assessment
A concatenation of VCA complexity residuals and SSIM fed into an XGBoost regressor reaches PLCC 0.787 on the VQA Grand Challenge test set, though the method is not truly reduced-reference.