We present a new video compression framework (ViSTRA2) which exploits adaptation of
spatial resolution and effective bit depth, down-sampling these parameters at the encoder
based on perceptual criteria, and up-sampling at the decoder using a deep convolution
neural network. ViSTRA2 has been integrated with the reference software of both the HEVC
(HM 16.20) and VVC (VTM 4.0. 1), and evaluated under the Joint Video Exploration Team
Common Test Conditions using the Random Access configuration. Our results show …