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- W4322495214 abstract "Limited by the network bandwidth, three-dimensional (3D) point cloud needs to be efficiently compressed before transmission. As one of the three attribute coding methods adopted in the geometry-based point cloud compression (G-PCC) standard developed by MPEG, predicting transform (PT) has received increasing attention. To further improve the coding efficiency of PT, we propose a rate-distortion optimized quantization (RDOQ) in which an additional option for quantization results is added by setting the quantized residuals to zero forcedly. Rate-distortion optimization is then used to determine whether the final quantized residual should be zero or nonzero. Experimental results show that average BD rates of −0.5 % , −3.0 % , and −3.0 % can be achieved for Luma, Chroma Cb, and Chroma Cr components, respectively, with negligible increment of time complexity." @default.
- W4322495214 created "2023-02-28" @default.
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- W4322495214 date "2023-02-27" @default.
- W4322495214 modified "2023-09-26" @default.
- W4322495214 title "Rate-distortion optimized quantization for geometry-based point cloud compression" @default.
- W4322495214 doi "https://doi.org/10.1117/1.jei.32.1.013047" @default.
- W4322495214 hasPublicationYear "2023" @default.
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