Model-based rate-distortion optimized video-based point cloud compression with differential evolution
The Moving Picture Experts Group (MPEG) video-based point cloud compression (V-PCC) standard encodes a dynamic point cloud by first converting it into one geometry video and one color video and then using a video coder to compress the two video sequences. We first propose analytical models for the distortion and bitrate of the V-PCC reference software, where the models’ variables are the quantization step sizes used in the encoding of the geometry and color videos. Unlike previous work, our analytical models are functions of the quantization step sizes of all frames in a group of frames. Then, we use our models and an implementation of the differential evolution algorithm to efficiently minimize the distortion subject to a constraint on the bitrate. Experimental results on six dynamic point clouds show that, compared to the state-of-the-art, our method achieves an encoding with a smaller error to the target bitrate (4.65% vs. 11.94% on average) and a slightly lower rate-distortion performance (on average, the increase in Bjøntegaard delta (BD) distortion is 0.27, and the increase in BD rate is 8.40%).
Marie Skłodowska-Curie Action Project name: Optimized Dynamic Point Cloud Compression, acronym: OPT-PCC, grant number 836192The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
Citation : H. Yuan, R. Hamzaoui, F. Neri, S. Yang, Model-based rate-distortion optimized video-based point cloud compression with differential evolution, in: Peng Y., Hu SM., Gabbouj M., Zhou K., Elad M., Xu K. (eds) Image and Graphics. ICIG 2021. Lecture Notes in Computer Science, vol 12888. Springer, Cham
Research Institute : Institute of Engineering Sciences (IES)
Peer Reviewed : Yes