29 citations · 118 across the 13 of their papers we have counts for
14 papers
Light-weight CNN-based VVC Inter Partitioning Acceleration
Yiqun Liu, Mohsen Abdoli, Thomas Guionnet +2
The Versatile Video Coding (VVC) standard has been finalized by Joint Video Exploration Team (JVET) in 2020. Compared to the High Efficiency Video Coding (HEVC) standard, VVC offer…
Statistical Analysis of Inter Coding in VVC Test Model (VTM)
Yiqun Liu, Mohsen Abdoli, Thomas Guionnet +2
The promising improvement in compression efficiency of Versatile Video Coding (VVC) compared to High Efficiency Video Coding (HEVC) comes at the cost of a non-negligible encoder si…
CNN-based Prediction of Partition Path for VVC Fast Inter Partitioning Using Motion Fields
Yiqun Liu, Marc Riviere, Thomas Guionnet +2
The Versatile Video Coding (VVC) standard has been recently finalized by the Joint Video Exploration Team (JVET). Compared to the High Efficiency Video Coding (HEVC) standard, VVC…
Complementary Graph Entropy, AND Product, and Disjoint Union of Graphs
Nicolas Charpenay, Maël le Treust, Aline Roumy
In the zero-error Slepian-Wolf source coding problem, the optimal rate is given by the complementary graph entropy of the characteristic graph. It has no single-lett…
Optimal Zero-Error Coding for Computing under Pairwise Shared Side Information
Nicolas Charpenay, Maël le Treust, Aline Roumy
We study the zero-error source coding problem in which an encoder with Side Information (SI) transmits source symbols to a decoder. The decoder has SI and wants to r…
OSLO: On-the-Sphere Learning for Omnidirectional images and its application to 360-degree image compression
Navid Mahmoudian Bidgoli, Roberto G. de A. Azevedo, Thomas Maugey +2
State-of-the-art 2D image compression schemes rely on the power of convolutional neural networks (CNNs). Although CNNs offer promising perspectives for 2D image compression, extend…