CAESR: Conditional Autoencoder and Super-Resolution for Learned Spatial Scalability

no code implementations • 1 Feb 2022 • Charles Bonnineau, Wassim Hamidouche, Jean-François Travers, Naty Sidaty, Jean-Yves Aubié, Olivier Deforges

Our framework considers a low-resolution signal encoded with VVC intra-mode as a base-layer (BL), and a deep conditional autoencoder with hyperprior (AE-HP) as an enhancement-layer (EL) model.

Decoder Super-Resolution

Perceptual Quality Assessment of HEVC and VVC Standards for 8K Video

no code implementations • 14 Sep 2021 • Charles Bonnineau, Wassim Hamidouche, Jerome Fournier, Naty Sidaty, Jean-Francois Travers, Olivier Deforges

With the growing data consumption of emerging video applications and users requirement for higher resolutions, up to 8K, a huge effort has been made in video compression technologies.

4k 8k +3

Multitask Learning for VVC Quality Enhancement and Super-Resolution

no code implementations • 16 Apr 2021 • Charles Bonnineau, Wassim Hamidouche, Jean-Francois Travers, Naty Sidaty, Olivier Deforges

The proposed solution enables a good performance in both mitigating coding artifacts and super-resolution with fewer network parameters compared to traditional specialized architectures.

Super-Resolution

Quality-driven Variable Frame-Rate for Green Video Coding in Broadcast Applications

no code implementations • 29 Dec 2020 • Glenn Herrou, Charles Bonnineau, Wassim Hamidouche, Patrick Dumenil, Jerome Fournier, Luce Morin

In this paper, we propose a Variable Frame Rate (VFR) solution to determine the minimum (critical) frame-rate that preserves the perceived video quality of HFR video.