We introduce Region-of-Interest (ROI) coding for point cloud attributes, using an input-weighted distortion measure where the weights are determined by the ROI.
We introduce Region-of-Interest (ROI) coding for point cloud attributes, using an input-weighted distortion measure where the weights are determined by the ROI.
... The attribute compression in G-PCC uses linear transforms, which adapt based on the geometry. A core transform is the region-adaptive hierarchical transform ...
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Aug 1, 2024 · Point cloud compression is essential to experience volumetric multimedia as it drastically reduces the required streaming data rates.
Aug 2, 2024 · We are the first to introduce a novel Region of Interest (ROI)-guided Point Cloud Geometry Compression (RPCGC) method for human and machine vision.
The encoder is configured to scalably encode the point cloud data with multiple partitions, producing encoded data that is separable along the multiple ...
G-PCC is an integrated point cloud coding solution including a set of geometry codecs (octree-based, predictive tree-based, and trisoup-based compression ...
Sep 2, 2024 · This paper proposes a deep learning-based inter-frame encoding scheme for dynamic point cloud geometry compression. We propose a lossy geometry ...
Sep 16, 2024 · Video-based Point Cloud Compression enables point cloud streaming over the internet by converting dynamic 3D point clouds to 2D geometry and ...
To tackle this problem, we are the first to introduce a novel Region of Interest (ROI)-guided Point Cloud Geometry Compression (RPCGC) method for human and ...