Embedded Bit-Stream Region-of-Interest Coding of Point Cloud Attributes

This paper presents a novel approach to embedded Region-of-Interest (ROI) attribute coding for point clouds. The proposed method is an embedded point cloud attribute coder incorporating regions of interest. The method chosen was to interleave bit-streams for ROI and non-ROI regions, which brings us some advantages. Firstly, it is independent of any specific ROI detection algorithm. Secondly, no increased complexity is imposed on the decoder. The results demonstrate an improvement in the quality of reconstructed voxels within the ROI, accompanied by some degradation of reconstructed voxels outside the ROI.

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Publication Details

Published
2024-10-02
DOI
https://doi.org/10.1109/mmsp61759.2024.10743215
Citations
1
Primary Topic
CCD and CMOS Imaging Sensors
Type
article
Field-Weighted Citation Impact
0.21

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article

Embedded Bit-Stream Region-of-Interest Coding of Point Cloud Attributes

Ricardo L. de Queiroz, Victor F. Figueiredo
1 citations
CCD and CMOS Imaging Sensors
0.21
article

Embedded Bit-Stream Region-of-Interest Coding of Point Cloud Attributes

Ricardo L. de Queiroz, Victor F. Figueiredo
article en
1 citations

Abstract

This paper presents a novel approach to embedded Region-of-Interest (ROI) attribute coding for point clouds. The proposed method is an embedded point cloud attribute coder incorporating regions of interest. The method chosen was to interleave bit-streams for ROI and non-ROI regions, which brings us some advantages. Firstly, it is independent of any specific ROI detection algorithm. Secondly, no increased complexity is imposed on the decoder. The results demonstrate an improvement in the quality of reconstructed voxels within the ROI, accompanied by some degradation of reconstructed voxels outside the ROI.

Universidade de Brasília (BR)
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Climate action
Openalex Percentile: Top 46%
CCD and CMOS Imaging Sensors
0.21
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