Gordon Clare — accepted AI-conference papers

2023

COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec

Théo Ladune, Pierrick Philippe, Félix Henry, Gordon Clare, Thomas Leguay

ICCV 2023poster

We introduce COOL-CHIC, a Coordinate-based Low Complexity Hierarchical Image Codec. It is a learned alternative to autoencoders with 629 parameters and 680 multiplications per decoded pixel. COOL-CHIC offers compression performance close to modern conventional MPEG codecs such as HEVC and is competi…

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2023

GOP-Based Latent Refinement for Learned Video Coding

Mohsen Abdoli, Gordon Clare, Félix Henry

ICASSP 2023accepted

This paper presents a method allowing learned video encoders to apply arbitrary latent refinement strategies to serve as RateDistortion Optimization (RDO) at the time of encoding. To do so, a latent domain search is applied on an initial latent representation of the video signal. This search is impl…

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