activity
20202022
most citedCNN-based driving of block partitioning for intra slices encoding

41 citations · 68 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV2022★ 7 cited

Revisiting the Sample Adaptive Offset post-filter of VVC with Neural-Networks

Philippe Bordes, Franck Galpin, Thierry Dumas +1

The Sample Adaptive Offset (SAO) filter has been introduced in HEVC to reduce general coding and banding artefacts in the reconstructed pictures, in complement to the De-Blocking F…

eess.IV2022

Neural Network based Inter bi-prediction Blending

Franck Galpin, Philippe Bordes, Thierry Dumas +2

This paper presents a learning-based method to improve bi-prediction in video coding. In conventional video coding solutions, the motion compensation of blocks from already decoded…

eess.IV2021

Combined neural network-based intra prediction and transform selection

Thierry Dumas, Franck Galpin, Philippe Bordes

The interactions between different tools added successively to a block-based video codec are critical to its rate-distortion efficiency. In particular, when deep neural network-bas…

cs.MM2020★ 41 cited

CNN-based driving of block partitioning for intra slices encoding

Franck Galpin, Fabien Racapé, Sunil Jaiswal +3

This paper provides a technical overview of a deep-learning-based encoder method aiming at optimizing next generation hybrid video encoders for driving the block partitioning in in…

eess.IV2020★ 20 cited

Iterative training of neural networks for intra prediction

Thierry Dumas, Franck Galpin, Philippe Bordes

This paper presents an iterative training of neural networks for intra prediction in a block-based image and video codec. First, the neural networks are trained on blocks arising f…