Title: Performance Evaluation of the Codec Agnostic Approach in MPEG-I Video-Based Point Cloud Compression
Abstract: In this study, we evaluated the codec agnostic approach of video-based point cloud compression (V-PCC) by applying several video codecs to V-PCC.The main concept of V-PCC is to use a video codec to compress the 2D patch images generated from the 3D point cloud.As a new immersive media standard of the Moving Picture Experts Group (MPEG), V-PCC is designed to support the codec agnostic approach, which can be employed to compress point cloud data by using any video codec.At present, the V-PCC reference software is designed by using MPEG High-Efficiency Video Coding.We extended the evaluation of the video codec applicability for PCC with well-known MPEG video coding standards, such as Advanced Video Coding, Essential Video Coding, and Versatile Video Coding.During the evaluation, we identified several key strategies for applying a video codec to V-PCC to maximize compression efficiency or computational complexity.Furthermore, the coding efficiency and time complexity of each codec were tested.The evaluation tests revealed that V-PCC supports the codec agnostic approach and that the performance of the video codec has a positive correlation with the V-PCC final coding efficiency.Reviewing these key strategies would help to develop V-PCC with different video codecs based on their profiles and levels.