A Survey on Recent Advances in Video Coding Technologies and Future Research Directions
With the evolution of video coding, balancing video compression efficiency with quality has become a critical challenge for researchers and the industry. The development of the next-generation video coding standards, such as Versatile Video Coding (VVC), signifies a significant leap in supporting high-resolution formats including 8K, HDR, and WCG. Currently, machine vision has emerged as a rising research focus, driven by breakthrough in Artificial Intelligence and its growing role in content generation, production, distribution, and storage in multimedia applications. This paper presents a comprehensive survey of the video coding tools in the VVC standard. Additionally, we examine recent research in next-generation video coding, particularly in Beyond VVC and end-to-end coding frameworks. Developments in shared human-machine vision systems are also discussed, emphasizing their relevance in evolving multimedia applications. Finally, this paper provides an outlook on video coding standards, considering their potential to drive next-generation multimedia technologies.
Authors
- Zhuqing Jiang (ORCID: https://orcid.org/0000-0001-6308-5708)
- Tian He
- Yiyan Wu (ORCID: https://orcid.org/0000-0001-8890-5389)
- Hongwei Guo (ORCID: https://orcid.org/0000-0003-3599-1572)
- Yun Zhou
- Houbang Guo
Institutions
- Western University (CA)
- Beijing University of Posts and Telecommunications (CN)
- Academy of Broadcasting Science (CN)
- Honghe University (CN)
- University College London (GB)
Publication Details
- Journal
- IEEE Transactions on Broadcasting
- Published
- 2025-04-04
- DOI
- https://doi.org/10.1109/tbc.2025.3553306
- Citations
- 8
- Primary Topic
- Advanced Data Compression Techniques
- Type
- article
- Field-Weighted Citation Impact
- 10.21
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China