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Frédéric Dufaux

14 accepted papers

2025

Channel and space-based joint rate allocation algorithm

ICASSP 2025accepted

Rate control is a critical component for image and video compression Particularly under limited network bandwidth conditions, bitrate control is essential to ensure efficient image transmission by effectively allocation channel resources. In this research, since both Channel and Spatial have relatio…

Cited by 0SourceScholar
2024

Balancing Representation Abstractions and Local Details Preservation for 3d Point Cloud Quality Assessment

ICASSP 2024accepted

3D Point Clouds (PCs) have become a valuable tool for representing intricate 3D information. Assessing the quality of PCs remains a challenging task, especially when striving for optimal immersive experiences. This paper introduces a novel metric and training approach that leverages projection-based…

Cited by 0SourceScholar
2024

Fast Intra Mode Prediction Algorithms for SCBS in VVC SCC

ICASSP 2024accepted

Versatile Video Coding (VVC) now supports Screen Content Coding (SCC) by integrating two efficient coding modes: Intra Block Copy (IBC) and Palette (PLT). However, the numerous modes and the Quad-Tree Plus Multi-Type Tree (QTMT) structure inherent to VVC contribute to a very high coding complexity.…

Cited by 0SourceScholar
2024

Reducing the Complexity of Normalizing Flow Architectures for Point Cloud Attribute Compression

ICASSP 2024accepted

Existing learning-based methods to compress PCs attributes typically employ variational autoencoders (VAE) to learn compact signal representations. However, these schemes suffer from limited reconstruction quality at high bitrates due to their intrinsic lossy nature. More recently, normalizing flows…

Cited by 0SourceScholar
2023

A Novel Mode Selection-Based Fast Intra Prediction Algorithm for Spatial SHVC

ICASSP 2023accepted

Due to multi-layer encoding and Inter-layer prediction, Spatial Scalable High-Efficiency Video Coding (SSHVC) has extremely high coding complexity. It is very crucial to improve its coding speed so as to promote widespread and cost-effective SSHVC applications. In this paper, we have proposed a nove…

Cited by 0SourceScholar
2023

NF-PCAC: Normalizing Flow Based Point Cloud Attribute Compression

ICASSP 2023accepted

Learning-based point cloud (PC) compression is a promising research avenue to reduce the transmission and storage costs for PC applications. Existing learning-based methods to compress PCs have mainly focused on geometry and employ variational autoencoders to learn compact signal representations. Ho…

Cited by 0SourceScholar
2023

PCQA-Graphpoint: Efficient Deep-Based Graph Metric for Point Cloud Quality Assessment

ICASSP 2023accepted

Following the advent of immersive technologies and the increasing interest in representing interactive geometrical format, 3D Point Clouds (PC) have emerged as a promising solution and effective means to display 3D visual information. In addition to other challenges in immersive applications, object…

Cited by 0SourceScholar
2022

A Multiscale Gradient-Backpropagation Optimization Framework for Deformable Convolution Based Compressed Video Enhancement

ICASSP 2022accepted

Deep learning based compressed video quality enhancement has raised lots of interest recently. To explore the information over multiple frames, deformable convolution has been used for temporal alignment. However, in the existing methods, the deformable convolution is used in a relatively naïve way,…

Cited by 0SourceScholar
2019

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

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…

Cited by 0SourceScholar
2018

Video enhancement with convex optimization methods

ICASSP 2018accepted

Video enhancement methods enable to optimize the viewing of video content at the end-user side. Most approaches do not consider the compressed nature of the available content. In the present work, we build upon a recently proposed video enhancement approach that explicitly models a compression stage…

Cited by 0SourceScholar
2017

A railroad detection algorithm for infrastructure surveillance using enduring airborne systems

ICASSP 2017accepted

Infrastructure surveillance is an important requirement for many companies. With the advancement of technology, drones can now provide an efficient tool for such applications. A possible future scenario is the automated surveillance of railroads. Whereas numerous algorithms that provide railroad det…

Cited by 0SourceScholar
2016

An image smoothing operator for fast and accurate scale space approximation

ICASSP 2016accepted

Gussian image smoothing is a fundamental operation in the extraction of scale-invariant feature points. Its computation, however, can be too expensive in some resource-constrained scenarios. Alternative solutions such as the box filter can be computed more efficiently, at the cost of a loss in featu…

Cited by 0SourceScholar
2016

View synthesis based on temporal prediction via warped motion vector fields

ICASSP 2016accepted

The demand for 3D content has increased over the last years as 3D displays are now widespread. View synthesis methods, such as depth-image-based-rendering, provide an efficient tool in 3D content creation or transmission, and are integrated in coding solutions for multiview video content such as 3D-…

Cited by 0SourceScholar