Search Results for author: Daniel Menard

Found 7 papers, 3 papers with code

3R-INN: How to be climate friendly while consuming/delivering videos?

no code implementations18 Mar 2024 Zoubida Ameur, Claire-Hélène Demarty, Daniel Menard, Olivier Le Meur

The consumption of a video requires a considerable amount of energy during the various stages of its life-cycle.

Disentanglement

Video Quality Assessment and Coding Complexity of the Versatile Video Coding Standard

no code implementations19 Oct 2023 Thomas Amestoy, Naty Sidaty, Wassim Hamidouche, Pierrick Philippe, Daniel Menard

The results consistently demonstrate that VVC outperforms HEVC, achieving bit-rate savings of up to 40% on the subjective quality scale, particularly at realistic bit-rates and quality levels.

SSIM Video Compression +1

Customizing Number Representation and Precision

no code implementations8 Dec 2022 Olivier Sentieys, Daniel Menard

There is a growing interest in the use of reduced-precision arithmetic, exacerbated by the recent interest in artificial intelligence, especially with deep learning.

Deep-based Film Grain Removal and Synthesis

1 code implementation15 Jun 2022 Zoubida Ameur, Wassim Hamidouche, Edouard François, Miloš Radosavljević, Daniel Menard, Claire-Hélène Demarty

In the context of video coding, the random nature of film grain makes it both difficult to preserve and very expensive to compress.

OpenVVC: a Lightweight Software Decoder for the Versatile Video Coding Standard

1 code implementation24 May 2022 Thomas Amestoy, Pierre-loup Cabarat, Guillaume Gautier, Wassim Hamidouche, Daniel Menard

The new generation video coding standard, called Versatile Video Coding (VVC), has been developed by the Joint Video Experts Team, and offers coding capability beyond the previous generation High Efficiency Video Coding (HEVC) standard.

Machine Learning based Efficient QT-MTT Partitioning Scheme for VVC Intra Encoders

1 code implementation9 Mar 2021 Alexandre Tissier, Wassim Hamidouche, Souhaiel Belhadj Dit Mdalsi, Jarno Vanne, Franck Galpin, Daniel Menard

This new approach leads to five possible splits at each block depth and thereby improves the coding efficiency of VVC over that of the preceding High Efficiency Video Coding (HEVC) standard, which only supports Quad-Tree (QT) partitioning with a single split per block depth.

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