Title: ViSTRA2: Video Coding using Spatial Resolution and Effective Bit Depth Adaptation Show Chinese title

Title: ViSTRA2：使用空间分辨率和有效比特深度自适应的视频编码

Abstract: 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 4.01), 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 Bj{\o}negaard 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. Show Chinese abstract

Abstract: 我们提出了一种新的视频压缩框架（ViSTRA2），该框架利用空间分辨率和有效位深度的自适应，基于感知标准在编码器中对这些参数进行下采样，并在解码器中使用深度卷积神经网络进行上采样。 ViSTRA2已与HEVC（HM 16.20）和VVC（VTM 4.01）的参考软件集成，并在联合视频探索团队通用测试条件下使用随机访问配置进行了评估。 我们的结果表明，在Bj{\o }negaard Delta测量基础上，与HM和VVC相比，压缩增益一致且显著，相对于HM的平均BD速率节省为12.6%（PSNR）和19.5%（VMAF），相对于VTM的平均BD速率节省为5.5%（PSNR）和8.6%（VMAF）。