Mohsen Abdoli — accepted AI-conference papers

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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2019

Transform Coefficient Coding for Screen Content in Versatile Video Coding (VVC)

Mohsen Abdoli, Félix Henry, Patrice Brault, Frédéric Dufaux, Pierre Duhamel

ICASSP 2019accepted

A transform coefficient coding scheme is proposed for 4 × 4 blocks in Versatile Video Coding (VVC), targeting screen content applications. The proposed algorithm, called Unary Bitplane Coding (UBC), uses unary codes of the coefficient amplitudes and represents each block by their bitplanes. This rep…

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