Model-based Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

6 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)3278-3291
Number of pages14
Journal / PublicationIEEE Transactions on Multimedia
Volume23
Online published10 Sep 2020
Publication statusPublished - 2021

Abstract

In video-based 3D point cloud compression, the quality of the reconstructed 3D point cloud depends on both the geometry and color distortions. Finding an optimal allocation of the total bitrate between the geometry coder and the color coder is a challenging task due to the large number of possible solutions. To solve this bit allocation problem, we first propose analytical distortion and rate models for the geometry and color information. Using these models, we formulate the joint bit allocation problem as a constrained convex optimization problem and solve it with an interior point method. Experimental results show that the rate-distortion performance of the proposed solution is close to that obtained with exhaustive search but at only 0.66% of its time complexity.

Research Area(s)

  • Point cloud compression, bit allocation, ratequantization (R-Q) model, distortion-quantization (D-Q) model, rate-distortion optimization (RDO)