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CONVIQT: Contrastive Video Quality Estimator. (arXiv:2206.14713v1 [eess.IV])
June 30, 2022, 1:12 a.m. | Pavan C. Madhusudana, Neil Birkbeck, Yilin Wang, Balu Adsumilli, Alan C. Bovik
cs.CV updates on arXiv.org arxiv.org
Perceptual video quality assessment (VQA) is an integral component of many
streaming and video sharing platforms. Here we consider the problem of learning
perceptually relevant video quality representations in a self-supervised
manner. Distortion type identification and degradation level determination is
employed as an auxiliary task to train a deep learning model containing a deep
Convolutional Neural Network (CNN) that extracts spatial features, as well as a
recurrent unit that captures temporal information. The model is trained using a
contrastive loss …
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