Evaluation of Image Quality Assessment Metrics for Semantic Segmentation in a Machine-to-Machine Communication Scenario

A Marie, K Desnos, L Morin… - 2023 15th International …, 2023 - ieeexplore.ieee.org
Image and video compression aims at finding an optimal trade-off between rate and
distortion. This is done through Rate-Distortion Optimization (RDO) in traditional en-coders …

Video Coding for Machines: Large-Scale Evaluation of Deep Neural Networks Robustness to Compression Artifacts for Semantic Segmentation

A Marie, K Desnos, L Morin… - 2022 IEEE 24th …, 2022 - ieeexplore.ieee.org
In the Video Coding for Machines (VCM) context where visual content is compressed before
being transmitted to a vision task algorithm, appropriate trade-off between the compression …

Advanced fine-tuning procedures to enhance DNN robustness in visual coding for machines

A Marie, K Desnos, A Mercat, L Morin, J Vanne… - EURASIP Journal on …, 2024 - Springer
Abstract Video Coding for Machines (VCM) is gaining momentum in applications like
autonomous driving, industry manufacturing, and surveillance, where the robustness of …

Perceptual Video Coding for Machines via Satisfied Machine Ratio Modeling

Q Zhang, S Wang, X Zhang, C Jia… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
Video Coding for Machines (VCM) aims to compress visual signals for machine analysis.
However, existing methods only consider a few machines, neglecting the majority …

Adaptive spatial down-sampling method based on object occupancy distribution for video coding for machines

E An, A Kim, S Jung, S Kwak, JY Lee… - EURASIP Journal on …, 2024 - Springer
As the performance of machine vision continues to improve, it is being used in various
industrial fields to analyze and generate massive amounts of video data. Although the …

On Annotation-free Optimization of Video Coding for Machines

M Windsheimer, F Brand, A Kaup - arXiv preprint arXiv:2406.07938, 2024 - arxiv.org
Today, image and video data is not only viewed by humans, but also automatically analyzed
by computer vision algorithms. However, current coding standards are optimized for human …