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eess.IV2021★ 4 cited
Blindly Assess Quality of In-the-Wild Videos via Quality-aware Pre-training and Motion Perception
Bowen Li, Weixia Zhang, Meng Tian +2
Perceptual quality assessment of the videos acquired in the wilds is of vital importance for quality assurance of video services. The inaccessibility of reference videos with prist…
eess.IV2019★ 938 cited
Blind Image Quality Assessment Using A Deep Bilinear Convolutional Neural Network
Weixia Zhang, Kede Ma, Jia Yan +2
We propose a deep bilinear model for blind image quality assessment (BIQA) that handles both synthetic and authentic distortions. Our model consists of two convolutional neural net…