Title
Rate-Distortion Optimal Transform Coefficient Selection for Unoccupied Regions in Video-Based Point Cloud Compression
Abstract
This paper presents a novel method to determine rate-distortion optimized transform coefficients for efficient compression of videos generated from point clouds. The method exploits a generalized frequency selective extrapolation approach that iteratively determines rate-distortion-optimized coefficients for all basis functions of two-dimensional discrete cosine and sine transforms. The method is applied to blocks containing both occupied and unoccupied pixels in video based point cloud compression for HEVC encoding. In the proposed algorithm, only the values of the transform coefficients are changed such that resulting bit streams are compliant to the V-PCC standard. For all-intra coded point clouds, bitrate savings of more than 4% for geometry and more than 6% for texture error metrics with respect to standard encoding can be observed. These savings are more than twice as high as savings obtained using competing methods from literature. In the randomaccess case, our proposed method outperforms competing V-PCC methods by more than 0.5%.
Year
DOI
Venue
2022
10.1109/TCSVT.2022.3185026
IEEE Transactions on Circuits and Systems for Video Technology
Keywords
DocType
Volume
Coding,HEVC,unoccupied pixels,inactive regions,point cloud compression,V-PCC
Journal
32
Issue
ISSN
Citations 
11
1051-8215
0
PageRank 
References 
Authors
0.34
17
3
Name
Order
Citations
PageRank
Christian Herglotz1209.45
Nils Genser200.34
André Kaup3861127.24