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

In this paper, we present CAESR, an hybrid learning-based coding approach for spatial scalability based on the versatile video coding (VVC) standard. Our framework considers a low-resolution signal encoded with VVC intra-mode as a base-layer (BL), and a deep conditional autoencoder with hyperprior (...

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Vydané v:	Visual communications and image processing (Online) s. 1 - 5
Hlavní autori:	Bonnineau, Charles, Hamidouche, Wassim, Travers, Jean-Francois, Sidaty, Naty, Aubie, Jean-Yves, Deforges, Olivier
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 05.12.2021
Predmet:	Conditional Autoencoder Encoding Image coding Scalability Spatial Scalability Super-Resolution Superresolution Training Video coding Visual communication VVC
ISSN:	2642-9357
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