Herglotz C, Genser N, Kaup A (2022)
Publication Type: Journal article
Publication year: 2022
Pages Range: 1-1
URI: https://arxiv.org/abs/2206.12186
DOI: 10.1109/TCSVT.2022.3185026
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%.
APA:
Herglotz, C., Genser, N., & Kaup, A. (2022). Rate-Distortion Optimal Transform Coefficient Selection for Unoccupied Regions in Video-Based Point Cloud Compression. IEEE Transactions on Circuits and Systems For Video Technology, 1-1. https://doi.org/10.1109/TCSVT.2022.3185026
MLA:
Herglotz, Christian, Nils Genser, and André Kaup. "Rate-Distortion Optimal Transform Coefficient Selection for Unoccupied Regions in Video-Based Point Cloud Compression." IEEE Transactions on Circuits and Systems For Video Technology (2022): 1-1.
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