ViSTRA: Video Compression based on Resolution Adaptation

Mariana Afonso

University of Bristol

About

ViSTRA is 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.


Performance

ViSTRA2 has been integrated with the reference software of both the HEVC (HM 16.20) and VVC (VTM 4.01), and evaluated under the Joint Video Exploration Team Common Test Conditions using the Random Access configuration. Our results show consistent and significant compression gains against HM and VVC based on Bjonegaard Delta measurements, with average BD-rate savings of 12.6% (PSNR) and 19.5% (VMAF) over HM and 5.5% (PSNR) and 8.6% (VMAF) over VTM.

Citation

@article{afonso2018video,
  title={Video compression based on spatio-temporal resolution adaptation},
  author={Afonso, Mariana and Zhang, Fan and Bull, David R},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  volume={29},
  number={1},
  pages={275--280},
  year={2018},
  publisher={IEEE}
}[paper]

@article{zhang2019vistra2,
  title={Vistra2: Video coding using spatial resolution and effective bit depth adaptation},
  author={Zhang, Fan and Afonso, Mariana and Bull, David R},
  journal={arXiv preprint arXiv:1911.02833},
  year={2019}
}[paper]