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.
Highlights
As an immersive medium, point cloud data have been used in virtual reality (VR), augmented reality (AR), and mixed reality (MR)
Consumer electronics or autonomous vehicles implemented in VR, AR, and MR applications use point cloud data as an immersive 3D media representation
The Moving Picture Experts Group (MPEG) started standardizing point cloud data compression in 2017. This led to the development of the ISO/IEC 23090-part 5 video-based point cloud compression (V-PCC) [2], which can efficiently compress dynamic object point clouds
Summary
Point cloud data have been used in virtual reality (VR), augmented reality (AR), and mixed reality (MR). VP9, x264, and x265 contained in the FFmpeg package were shown to work together with V-PCC, and different codecs were used to compress different 2D components [4] In another AVC-related study on V-PCC, the performance of the anchor and all-intra coding structures was evaluated [5]. In our previous research based on legacy image codec, we showed that JPEG can be used to compress geometry and attribute images with the all-intra coding structure [8]. We observed that the video codec performance had a distinct impact on the V-PCC codec based on the research on the EVC baseline profile [8] In these previous studies, the codec performance and computational complexity were not compared.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
