Research on Video-based Dynamic Mesh Compression Technology and Proposed Improvements

DOI

10.2991/978-94-6463-518-8_6How to use a DOI?

Keywords

3D Mesh Compression; Displacement Vector; Performance Improvement

Abstract

As Extended Reality (XR) technology evolves, the development of immersive XR content, such as images and videos, has accelerated. The complexity of these products has heightened the demand for high-quality 3D geometric data. Given the vast size and intricacy of 3D geometric data, researchers are focusing on technologies that can optimize this data, which is crucial for creating intricate XR content. Mesh, a fundamental concept in 3D computer image models, plays a pivotal role in this research. Dynamic mesh, in comparison to ordinary mesh, contains significantly more data. Consequently, the efficient, lossless compression, storage, and transfer of this data are paramount. The Moving Picture Experts Group (MPEG) has conducted extensive research to standardize dynamic mesh compression, culminating in the proposal of a new standard known as video-based dynamic mesh compression (V-DMC). This paper elucidates the method for encoding and decoding displacement vector information in 3D mesh based on the V-DMC standard, which features projecting 3D displacement data into 2D video frames. After computation, wavelet transformation, and quantization, the displacement data is packed into a YUV video and encoded to achieve efficient compression according to the standard. Furthermore, this paper introduces three proposed improved schemes for the V-DMC test module, optimizes the displacement codec framework, and enhances compression performance. The paper concludes by summarizing the challenges encountered and proposing potential solutions, providing valuable insights and guidance for future research in this field.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Liqi Jing
PY  - 2024
DA  - 2024/09/28
TI  - Research on Video-based Dynamic Mesh Compression Technology and Proposed Improvements
BT  - Proceedings of the 2024 International Conference on Mechanics, Electronics Engineering and Automation (ICMEEA 2024)
PB  - Atlantis Press
SP  - 47
EP  - 57
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-518-8_6
DO  - 10.2991/978-94-6463-518-8_6
ID  - Jing2024
ER  -