Reading: CNNLF — Residual Convolutional Neural Network Based In-Loop Filter (AVS3 Codec Filtering)

Original article was published by Sik-Ho Tsang on Artificial Intelligence on Medium


Reading: CNNLF — Residual Convolutional Neural Network Based In-Loop Filter (AVS3 Codec Filtering)

8.66% and 8.75% BD-Rate Reduction on Y Component Under RA and LD Configurations Separately

In this story, Residual Convolutional Neural Network Based In-Loop Filter with Intra and Inter Frames Processed Respectively for AVS3 (CNNLF), by Tencent, is presented. It is called CNNLF because the network is named at the subjective comparison. I read this because I work on video coding research. In this paper:

  • A deep residual convolutional neural network based in-loop filter is proposed to suppress compression artifacts for the third generation of Audio Video Standard (AVS3).

This is a paper in 2020 ICMEW. (Sik-Ho Tsang @ Medium)