activity
20232026
most citedAn Overview of the JPEG AI Learning-Based Image Coding Standard

5 citations · 5 across the 16 of their papers we have counts for

collaborators
Showing cs.MMShow all

11 papers · 1 filter

cs.MM2026

Structured Image-based Coding for Efficient Gaussian Splatting Compression

Pedro Martin, Antonio Rodrigues, Joao Ascenso +1

Gaussian Splatting (GS) has recently emerged as a state-of-the-art representation for radiance fields, combining real-time rendering with high visual fidelity. However, GS models r…

cs.MM2025

Evaluation of Objective Image Quality Metrics for High-Fidelity Image Compression

Shima Mohammadi, Mohsen Jenadeleh, Jon Sneyers +2

Nowadays, image compression solutions are increasingly designed to operate within high-fidelity quality ranges, where preserving even the most subtle details of the original image…

cs.MM2025

In-place Double Stimulus Methodology for Subjective Assessment of High Quality Images

Shima Mohammadi, Mohsen Jenadeleh, Michela Testolina +4

This paper introduces a novel double stimulus subjective assessment methodology for the evaluation of high quality images to address the limitations of existing protocols in detect…

cs.MM2025

GS-QA: Comprehensive Quality Assessment Benchmark for Gaussian Splatting View Synthesis

Pedro Martin, António Rodrigues, João Ascenso +1

Gaussian Splatting (GS) offers a promising alternative to Neural Radiance Fields (NeRF) for real-time 3D scene rendering. Using a set of 3D Gaussians to represent complex geometry…

cs.MM2024

Uncertainty-driven Sampling for Efficient Pairwise Comparison Subjective Assessment

Shima Mohammadi, João Ascenso

Assessing image quality is crucial in image processing tasks such as compression, super-resolution, and denoising. While subjective assessments involving human evaluators provide t…

cs.MM2024

Evaluation of strategies for efficient rate-distortion NeRF streaming

Pedro Martin, António Rodrigues, João Ascenso +1

Neural Radiance Fields (NeRF) have revolutionized the field of 3D visual representation by enabling highly realistic and detailed scene reconstructions from a sparse set of images.…

cs.MM2024

Globally and Locally Optimized Pannini Projection for High FoV Rendering of 360-degree Images

Falah Jabar, Joao Ascenso, Maria Paula Queluz

To render a spherical (360 degree or omnidirectional) image on planar displays, a 2D image -- called as viewport -- must be obtained by projecting a sphere region on a plane, accor…

cs.MM2024

NeRF View Synthesis: Subjective Quality Assessment and Objective Metrics Evaluation

Pedro Martin, Antonio Rodrigues, Joao Ascenso +1

Neural radiance fields (NeRF) are a groundbreaking computer vision technology that enables the generation of high-quality, immersive visual content from multiple viewpoints. This c…

cs.MM2024

Fidelity-preserving Learning-Based Image Compression: Loss Function and Subjective Evaluation Methodology

Shima Mohammadi, Yaojun Wu, João Ascenso

Learning-based image compression methods have emerged as state-of-the-art, showcasing higher performance compared to conventional compression solutions. These data-driven approache…

cs.MM2023

Predictive Sampling for Efficient Pairwise Subjective Image Quality Assessment

Shima Mohammadi, João Ascenso

Subjective image quality assessment studies are used in many scenarios, such as the evaluation of compression, super-resolution, and denoising solutions. Among the available subjec…

cs.MM2023

NeRF-QA: Neural Radiance Fields Quality Assessment Database

Pedro Martin, António Rodrigues, João Ascenso +1

This short paper proposes a new database - NeRF-QA - containing 48 videos synthesized with seven NeRF based methods, along with their perceived quality scores, resulting from subje…