TY - GEN
T1 - Rate-distortion optimized scan for point cloud color compression
AU - Xu, Yiqun
AU - Wang, Shanshe
AU - Zhang, Xinfeng
AU - Wang, Shiqi
AU - Zhang, Nan
AU - Ma, Siwei
AU - Gao, Wen
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - We propose an adaptive scanning scheme to improve color attribute compression performance of static point cloud. To better exploit the intrinsic correlations of point cloud color data, multiple scanning modes are dedicated to projecting the color attributes into a series of texture blocks before compression. The best mode is subsequently selected in the sense of rate-distortion optimization, such that the compression flexibility and performance can be greatly improved. To achieve rate-distortion optimized scan, the Lagrange multiplier that balances the rate and distortion is off-line derived based on the statistics of color attribute coding. The proposed algorithm is implemented in reference software for point cloud compression (PCC-MP3DG), which is introduced by 3D Graphics (3DG) group of Motion Picture Experts Group (MPEG). Experimental results show that proposed method performs significantly better than the PCC-MP3DG reference software, and on average 6.51% and 9.36% bit-rate savings can be achieved for high and low bit rate codings, respectively.
AB - We propose an adaptive scanning scheme to improve color attribute compression performance of static point cloud. To better exploit the intrinsic correlations of point cloud color data, multiple scanning modes are dedicated to projecting the color attributes into a series of texture blocks before compression. The best mode is subsequently selected in the sense of rate-distortion optimization, such that the compression flexibility and performance can be greatly improved. To achieve rate-distortion optimized scan, the Lagrange multiplier that balances the rate and distortion is off-line derived based on the statistics of color attribute coding. The proposed algorithm is implemented in reference software for point cloud compression (PCC-MP3DG), which is introduced by 3D Graphics (3DG) group of Motion Picture Experts Group (MPEG). Experimental results show that proposed method performs significantly better than the PCC-MP3DG reference software, and on average 6.51% and 9.36% bit-rate savings can be achieved for high and low bit rate codings, respectively.
KW - adaptive scan
KW - color attribute
KW - Lagrange multiplier
KW - Point cloud compression
UR - https://www.scopus.com/pages/publications/85050681600
U2 - 10.1109/VCIP.2017.8305129
DO - 10.1109/VCIP.2017.8305129
M3 - 会议稿件
AN - SCOPUS:85050681600
T3 - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
SP - 1
EP - 4
BT - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE Visual Communications and Image Processing, VCIP 2017
Y2 - 10 December 2017 through 13 December 2017
ER -