Conditional Coding and Variable Bitrate for Practical Learned Video Coding

Théo Ladune (1, 2) , Pierrick Philippe (2) , Wassim Hamidouche (1) , Lu Zhang (1) , Olivier Déforges (1)

1 IETR - Institut d'Électronique et des Technologies du numéRique
2 Orange Labs

This paper introduces a practical learned video codec. Conditional coding and quantization gain vectors are used to provide flexibility to a single encoder/decoder pair, which is able to compress video sequences at a variable bitrate. The flexibility is leveraged at test time by choosing the rate and GOP structure to optimize a rate-distortion cost. Using the CLIC21 video test conditions, the proposed approach shows performance on par with HEVC.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Réseau de neurones [cs.NE]

Théo Ladune, Pierrick Philippe, Wassim Hamidouche, Lu Zhang, Olivier Déforges. Conditional Coding and Variable Bitrate for Practical Learned Video Coding. CLIC workshop, CVPR 2021, Jun 2021, Nashville, United States. ⟨hal-03198937v1⟩