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Distortion-Aware Loop Filtering of Intra 360^o Video Coding with Equirectangular Projection

arXiv 2202.09802 ↗First posted 20 Feb 2022cs.CV eess.IVcited by 0

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Abstract (arXiv)

In this paper, we propose a distortion-aware loop filtering model to improve the performance of intra coding for 360o videos projected via equirectangular projection (ERP) format. To enable the awareness of distortion, our proposed module analyzes content characteristics based on a coding unit (CU) partition mask and processes them through partial convolution to activate the specified area. The feature recalibration module, which leverages cascaded residual channel-wise attention blocks (RCABs) to adjust the inter-channel and intra-channel features automatically, is capable of adapting with different quality levels. The perceptual geometry optimization combining with weighted mean squared error (WMSE) and the perceptual loss guarantees both the local field of view (FoV) and global image reconstruction with high quality. Extensive experimental results show that our proposed scheme achieves significant bitrate savings compared with the anchor (HM + 360Lib), leading to 8.9%, 9.0%, 7.1% and 7.4% on average bit rate reductions in terms of PSNR, WPSNR, and PSNR of two viewports for luminance component of 360o videos, respectively.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 12 of its 43 references that are in the map. First posted on arXiv 20 Feb 2022.

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References · 12

  1. 2017Squeeze-and-Excitation Networkscited by 4,789
  2. 2016Xception: Deep Learning with Depthwise Separable Convolutionscited by 2,332
  3. 2018Image Inpainting for Irregular Holes Using Partial Convolutionscited by 505
  4. 2019Image and Video Compression with Neural Networks: A Reviewcited by 86
  5. 2018Kernel Transformer Networks for Compact Spherical Convolutioncited by 56
  6. 2018Multi-Frame Quality Enhancement for Compressed Videocited by 48
  7. 2017Enhancing Quality for HEVC Compressed Videoscited by 28
  8. 2016A Convolutional Neural Network Approach for Post-Processing in HEVC Intra Codingcited by 27
  9. 2017Learning Spherical Convolution for Fast Features from 360deg Imagerycited by 22
  10. 2019Deep Learning-Based Video Coding: A Review and A Case Studycited by 15
  11. 2019Partition-Aware Adaptive Switching Neural Networks for Post-Processing in HEVCcited by 8
  12. 2017Spatial-Temporal Residue Network Based In-Loop Filter for Video Codingcited by 5

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