Review: Liu PCS’19 — Dual Learning-based Video Coding with Inception (HEVC Codec Filtering)

Original article can be found here (source): Artificial Intelligence on Medium

Review: Liu PCS’19 — Dual Learning-based Video Coding with Inception (HEVC Codec Filtering)

In this story, Dual Learning-based Video Coding with Inception Dense Blocks (Liu PCS’19), by Fudan University and Waseda University, is reviewed. I read this because I work on video coding research. In this paper, two networks are used. One is for intra prediction using fully connected network (FCN). Another one is for in-loop filtering using convolutional neural network (CNN).

  • For the FCN, the approach in IPFCN is used. So, it is not described here. (For interested, please read Sections 1 & 2 in IPCNN about the importance of video coding and the conventional HEVC intra coding.)
  • For the CNN based filtering, a deeper network using Inception block is proposed.

This is an approach attending the “Grand Challenge on Short Video Coding” in 2019 PCS. And it is published in 2019 PCS. (Sik-Ho Tsang @ Medium)