113 citations · 297 across the 13 of their papers we have counts for
13 papers
Lossy Event Compression: From Event Stream Distortion to Task Performance
Zahra Rezaee, Catarina Brites, João Ascenso
Event cameras generate asynchronous, sparse data streams with microsecond temporal resolution, but in moderate-to-high motion scenes they can produce as many as hundreds of million…
GScomp-QA: A Subjective Dataset for Quality Assessment of Compressed Gaussian Splatting
Pedro Martin, António Rodrigues, João Ascenso +1
Gaussian Splatting (GS) has emerged as an efficient representation for high-quality 3D reconstruction and novel view synthesis. However, its large model size poses challenges for s…
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…
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…
Neuromorphic Vision Data Coding: Classifying and Reviewing the Literature
Catarina Brites, João Ascenso
In recent years, visual sensors have been quickly improving towards mimicking the visual information acquisition process of human brain by responding to illumination changes as the…
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…
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…
Joint Geometry and Color Projection-based Point Cloud Quality Metric
Alireza Javaheri, Catarina Brites, Fernando Pereira +1
Point cloud coding solutions have been recently standardized to address the needs of multiple application scenarios. The design and assessment of point cloud coding methods require…
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…
Improving PSNR-based Quality Metrics Performance For Point Cloud Geometry
Alireza Javaheri, Catarina Brites, Fernando Pereira +1
An increased interest in immersive applications has drawn attention to emerging 3D imaging representation formats, notably light fields and point clouds (PCs). Nowadays, PCs are on…
A generalized Hausdorff distance based quality metric for point cloud geometry
Alireza Javaheri, Catarina Brites, Fernando Pereira +1
Reliable quality assessment of decoded point cloud geometry is essential to evaluate the compression performance of emerging point cloud coding solutions and guarantee some target…
Lenslet Light Field Image Coding: Classifying, Reviewing and Evaluating
Catarina Brites, João Ascenso, Fernando Pereira
In recent years, visual sensors have been quickly improving, notably targeting richer acquisitions of the light present in a visual scene. In this context, the so-called lenslet li…
Point Cloud Rendering after Coding: Impacts on Subjective and Objective Quality
Alireza Javaheri, Catarina Brites, Fernando Pereira +1
Recently, point clouds have shown to be a promising way to represent 3D visual data for a wide range of immersive applications, from augmented reality to autonomous cars. Emerging…