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.

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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

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article

A Survey on Recent Advances in Video Coding Technologies and Future Research Directions

Zhuqing Jiang, Tian He, Yiyan Wu, Hongwei Guo et al.
8 citations
IEEE Transactions on Broadcasting
Advanced Data Compression Techniques
10.21
article

A Survey on Recent Advances in Video Coding Technologies and Future Research Directions

Zhuqing Jiang, Tian He, Yiyan Wu, Hongwei Guo, Yun Zhou, Houbang Guo
article en
8 citations

Abstract

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.

IEEE Transactions on BroadcastingVol. 71(2)
Western University (CA), Beijing University of Posts and Telecommunications (CN), Academy of Broadcasting Science (CN), Honghe University (CN), University College London (GB)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 2%
Advanced Data Compression Techniques
10.21
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A Survey on Recent Advances in Video Coding Technologies and Future Research Directions — Zhuqing Jiang, Tian He, et al. · IEEE Transactions on Broadcasting (2025) | TGRS Research Map | TGRS