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%.

14 pages, 9 figures

References in corpus (5)

• Reduced Reference Perceptual Quality Model and Application to Rate Control for 3D Point Cloud Compression
• Model-based Joint Bit Allocation between Geometry and Color for Video-based 3D Point Cloud Compression
• Frequency selective extrapolation with residual filtering for image error concealment
• A Fast Algorithm for Selective Signal Extrapolation with Arbitrary Basis Functions
• Efficient coding of 360° videos exploiting inactive regions in projection formats

Cited by in corpus (2)

• Rate-Distortion Modeling for Bit Rate Constrained Point Cloud Compression
• Rate-Distortion Optimized Skip Coding of Region Adaptive Hierarchical Transform Coefficients for MPEG G-PCC