Visual Data Compression for Metaverse: Technology, Standard, and Challenges

Peilin Chen, Bolin Chen, Meng Wang, Shiqi Wang, Zhu Li

Abstract: There has been an increasing consensus that the emerging metaverse world relies on high efficiency visual data compression techniques for effective data storage, ultra-low delay interaction and ubiquitous communication. This paper provides a comprehensive survey on the recent advances of the visual data compression technology and standard, which could play essential roles in building the metaverse. In particular, we will review the visual data compression methodologies and standards, and present our vision on how the interactive coding could more efficiently support the metaverse. Finally, we discuss the distinguished requirements and fundamental challenges on the data compression for metaverse, and envision the future technology trend.