Reading: Pooling-Variable CNN — Adaptive CU Split Decision (Fast VVC Prediction)

Original article was published on Deep Learning on Medium

Reading: Pooling-Variable CNN — Adaptive CU Split Decision (Fast VVC Prediction)

33% Coding Time Saving With Only 0.99% Increase in BD-rate

In this story, Adaptive CU Split Decision with Pooling-variable CNN for VVC Intra Encoding, by Fudan University, is presented. Thus, I just call it Pooling-Variable CNN. I read this because I work on video coding research.

Versatile Video Coding (VVC) is a very new video coding standard, which is still under developing at this moment.

In this paper:

  • An adaptive CU split decision for intra frame with the pooling-variable convolutional neural network (CNN), targeting at various coding unit (CU) shape, is proposed.
  • Thus, the CU split or not will be decided by only one trained network, same architecture and parameters for the CUs with multiple sizes.

This is a paper in 2019 VCIP. (Sik-Ho Tsang @ Medium)