Personne
Evangelos Alexiou
Cette personne n’est plus à l’EPFL
Publications associées (23)
Perceptual Quality of Point Clouds with application to Compression
Modern information technologies and human-centric communication systems employ advanced content representations for richer portrayals of the real world. The newly adopted imaging modalities offer additional information cues and permit the depiction of real ...
EPFL2021Benchmarking of objective quality metrics for point cloud compression
Touradj Ebrahimi, Evangelos Alexiou
Point cloud is a promising imaging modality for the representation of 3D media. The vast volume of data associated with it requires efficient compression solutions, with lossy algorithms leading to larger bit-rate savings at the expense of visual impairmen ...
2021Comparison of Remote Subjective Assessment Strategies in the Context of the JPEG Pleno Point Cloud Activity
In this work we compare two different options to perform on-line subjective quality assessment experiments in the context of the Call for Evidence on JPEG Pleno Point Cloud Coding. A deep-learning based point cloud codec submitted to the Call was tested ag ...
IEEE2021On Block Prediction For Learning-Based Point Cloud Compression
Touradj Ebrahimi, Evangelos Alexiou
Point clouds are among popular visual representations for immersive media. However, the vast amount of information generated during their acquisition requires effective compression for practical applications. Although relevant activities from standardizati ...
IEEE2021Towards neural network approaches for point cloud compression
Touradj Ebrahimi, Evangelos Alexiou, Kuan Tung
Point cloud imaging has emerged as an efficient and popular solution to represent immersive visual information. However, the large volume of data generated in the acquisition process reveals the need of efficient compression solutions in order to store and ...
2020PointXR: A toolbox for visualization and subjective evaluation of point clouds in virtual reality
Touradj Ebrahimi, Evangelos Alexiou, Nanyang Yang
In this study, we explore the use of virtual reality to subjectively evaluate the visual quality of point cloud contents. To this aim, we develop the PointXR toolbox, a set of Unity applications that can host experiments under variants of interactive and p ...
2020Towards a point cloud structural similarity metric
Touradj Ebrahimi, Evangelos Alexiou
Point cloud is a 3D image representation that has recently emerged as a viable approach for advanced content modality in modern communication systems. In view of its wide adoption, quality evaluation metrics are essential. In this paper, we propose and ass ...
2020Benchmarking of the plane-to-plane metric
Touradj Ebrahimi, Evangelos Alexiou
In this report we benchmark the plane-to-plane objective quality metric. This is, a metric that measures the angular similarity of tangent planes between two point cloud models and relies on normal vectors that are carried with associated pairs of points. ...
2020Quality Evaluation Of Static Point Clouds Encoded Using MPEG Codecs
Touradj Ebrahimi, Evangelos Alexiou
This paper presents a quality evaluation study of point cloud codecs that have been recently standardised by the MPEG committee. In particular, a subjective experiment to assess their performance in terms of bitrate against visual quality is designed and r ...
IEEE2020Towards Modelling of Visual Saliency in Point Clouds for Immersive Applications
Touradj Ebrahimi, Evangelos Alexiou, Peisen Xu
Modelling human visual attention is of great importance in the field of computer vision and has been widely explored for 3D imaging. Yet, in the absence of ground truth data, it is unclear whether such predictions are in alignment with the actual human vie ...
2019