Subjective Quality Assessment of V-PCC-Compressed Dynamic Point Clouds Degraded by Packet Losses
This article describes an empirical exploration on the effect of information loss affecting compressed representations of dynamic point clouds on the subjective quality of the reconstructed point clouds.
Emil Dumic, Luis A. da Silva Cruz
doaj +1 more source
Joint Hybrid Backhaul and Access Links Design in Cloud-Radio Access Networks [PDF]
The cloud-radio access network (CRAN) is expected to be the core network architecture for next generation mobile radio systems. In this paper, we consider the downlink of a CRAN formed of one central processor (the cloud) and several base-station (BS ...
Al-Naffouri, Tareq Y. +3 more
core +2 more sources
Performance Evaluation of Multiterminal Backhaul Compression for Cloud Radio Access Networks
In cloud radio access networks (C-RANs), the baseband processing of the available macro- or pico/femto-base stations (BSs) is migrated to control units, each of which manages a subset of BS antennas.
Park, Seok-Hwan +3 more
core +1 more source
Point Cloud Compression with Implicit Neural Representations: A Unified Framework [PDF]
Point clouds have become increasingly vital across various applications thanks to their ability to realistically depict 3D objects and scenes. Nevertheless, effectively compressing unstructured, high-precision point cloud data remains a significant ...
Hongning Ruan +4 more
semanticscholar +1 more source
Example-based super-resolution for point-cloud video
We propose a mixed-resolution point-cloud representation and an example-based super-resolution framework, from which several processing tools can be derived, such as compression, denoising and error concealment. By inferring the high-frequency content of
de Queiroz, Ricardo L. +2 more
core +1 more source
Visual Quality of Compressed Mesh and Point Cloud Sequences
With the development of immersive video, the delivery and storage of 3D content have become important research areas. While compression methods for meshes and point clouds, the two main representations for 3D content, are actively studied, there are few ...
Keming Cao, Yi Xu, Pamela Cosman
doaj +1 more source
PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point Cloud Compression [PDF]
The universality of the point cloud format enables many 3D applications, making the compression of point clouds a critical phase in practice. Sampled as discrete 3D points, a point cloud approximates 2D surface(s) embedded in 3D with a finite bit-depth ...
Jiahao Pang, Kevin Bui, Dong Tian
semanticscholar +1 more source
Point cloud compression based on hierarchical point clustering [PDF]
In this work we propose an algorithm for compressing the geometry of a 3D point cloud (3D point-based model). The proposed algorithm is based on the hierarchical clustering of the points. Starting from the input model, it performs clustering to the points to generate a coarser approximation, or a coarser level of detail (LOD). Iterating this clustering
Yuxue Fan, Yan Huang, Jingliang Peng
openaire +1 more source
Improved Deep Point Cloud Geometry Compression [PDF]
Code is available at https://github.com/mauriceqch ...
Quach, Maurice +2 more
openaire +3 more sources
Fronthaul-Constrained Cloud Radio Access Networks: Insights and Challenges
As a promising paradigm for fifth generation (5G) wireless communication systems, cloud radio access networks (C-RANs) have been shown to reduce both capital and operating expenditures, as well as to provide high spectral efficiency (SE) and energy ...
Lau, V., Peng, M., Poor, H. V., Wang, C.
core +2 more sources

