Predicting local distortions introduced by AV1 using Deep Features
Andréas Pastor,
Lukáš Krasula,
Xiaoqing Zhu
et al.
Abstract:Semantics extracted by filters in deep learning networks correlate well with how human eyes perceive distortions. These methods (e.g., LPIPS, PieAPP, etc.) rely on the relative difference in activation between feature maps in pairs of references and distorted patches. However, Deep Feature extraction can be expensive to compute as a difference of latent code between reference and distorted frames. Therefore, it is challenging to integrate them into the decision process of modern video codecs like AV1, making t… Show more
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