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20192026
most citedPoint Cloud Rendering after Coding: Impacts on Subjective and Objective Quality

113 citations · 297 across the 13 of their papers we have counts for

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5 papers · 1 filter

cs.MM2024

Low Complexity Learning-based Lossless Event-based Compression

Ahmadreza Sezavar, Catarina Brites, Joao Ascenso

Event cameras are a cutting-edge type of visual sensors that capture data by detecting brightness changes at the pixel level asynchronously. These cameras offer numerous benefits o…

cs.MM2024★ 1 cited

Learning-based Lossless Event Data Compression

Ahmadreza Sezavar, Catarina Brites, Joao Ascenso

Emerging event cameras acquire visual information by detecting time domain brightness changes asynchronously at the pixel level and, unlike conventional cameras, are able to provid…

cs.MM2023

Evaluation of Sampling Algorithms for a Pairwise Subjective Assessment Methodology

Shima Mohammadi, Joao Ascenso

Subjective assessment tests are often employed to evaluate image processing systems, notably image and video compression, super-resolution among others and have been used as an ind…

cs.MM2023

Perceptual impact of the loss function on deep-learning image coding performance

Shima Mohammadi, Joao Ascenso

Nowadays, deep-learning image coding solutions have shown similar or better compression efficiency than conventional solutions based on hand-crafted transforms and spatial predicti…

cs.MM2021★ 30 cited

A Point-to-Distribution Joint Geometry and Color Metric for Point Cloud Quality Assessment

Alireza Javaheri, Catarina Brites, Fernando Pereira +1

Point clouds (PCs) are a powerful 3D visual representation paradigm for many emerging application domains, especially virtual and augmented reality, and autonomous vehicles. Howeve…