Recently, 3D point cloud is becoming popular due to its capability to represent the real world
for advanced content modality in modern communication systems. In view of its wide …

In rate-distortion optimization, the encoder settings are determined by maximizing a
reconstruction quality measure subject to a constraint on the bitrate. One of the main …

Video data have become the main data traffic on the Internet, and their traffic is increasing
explosively every year, thus increasing the pressure of video transmission. Video coding …

Dynamic point cloud is a volumetric visual data representing realistic 3D scenes for virtual
reality and augmented reality applications. However, its large data volume has been the …

Octree (OT) geometry partitioning has been acknowledged as an efficient representation in
state-of-the-art point cloud compression (PCC) schemes. In this work, an adaptive geometry …

Due to limited transmission resources and storage capacity, efficient rate control is important
in Video-based Point Cloud Compression (V-PCC). In this paper, we propose a learning …

Video-based point cloud compression (V-PCC) has been an emerging compression
technology that projects the 3D point cloud into a 2D plane and uses high efficiency video …

Quantization is the process of projecting input values with a large set onto output values with
a smaller set, where a typical example is the analog-to-digital conversion. It maps the …

The state-of-the-art compression method for Light Detection And Ranging (LiDAR) point
clouds is the geometry-based point cloud compression (G-PCC) standard developed by …

Three-dimensional (3D) point cloud, as an emerging visual media format, is increasingly
favored by consumers as it can provide more realistic visual information than two …