Emerging Advances in Learned Video Compression: Models, Systems and Beyond

Jia, Chuanmin; Ye, Feng; Ma, Siwei; Gao, Wen; Sun, Huifang; Chiariglione, Leonardo

doi:10.24963/ijcai.2025/1165

Emerging Advances in Learned Video Compression: Models, Systems and Beyond

Chuanmin Jia, Feng Ye, Siwei Ma, Wen Gao, Huifang Sun, Leonardo Chiariglione

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Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence. Survey Track. Pages 10490-10498.

https://doi.org/10.24963/ijcai.2025/1165

Keywords

Computer Vision: CV: Machine learning for vision
Computer Vision: CV: Other

Abstract

Video compression is a fundamental topic in the visual intelligence, bridging visual signal sensing/capturing and high-level visual analytics. The broad success of artificial intelligence (AI) technology has enriched the horizon of video compression into novel paradigms by leveraging end-to-end optimized neural models. In this survey, we first provide a comprehensive and systematic overview of recent literature on end-to-end optimized learned video coding, covering the spectrum of pioneering efforts in both uni-directional and bi-directional prediction based compression model designation. We further delve into the optimization techniques employed in learned video compression (LVC), emphasizing their technical innovations, advantages. Some standardization progress is also reported. Furthermore, we investigate the system design and hardware implementation challenges of the LVC inclusively. Finally, we present the extensive simulation results to demonstrate the superior compression performance of LVC models, addressing the question that why learned codecs and AI-based video technology would have with broad impact on future visual intelligence research.

Chuanmin Jia, Feng Ye, Siwei Ma, Wen Gao, Huifang Sun, and Leonardo Chiariglione. 2025. Emerging Advances in Learned Video Compression: Models, Systems and Beyond. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25. IJCAI, 10490–10498. https://doi.org/10.24963/ijcai.2025/1165

@inproceedings{ijcai2025p1165,
  title     = {Emerging Advances in Learned Video Compression: Models, Systems and Beyond},
  author    = {Jia, Chuanmin and Ye, Feng and Ma, Siwei and Gao, Wen and Sun, Huifang and Chiariglione, Leonardo},
  booktitle = {Proceedings of the Thirty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-25}},
  publisher = {International Joint Conferences on Artificial Intelligence Organization},
  editor    = {James Kwok},
  pages     = {10490--10498},
  year      = {2025},
  month     = {8},
  note      = {Survey Track},
  doi       = {10.24963/ijcai.2025/1165},
  url       = {https://doi.org/10.24963/ijcai.2025/1165},
}

TY  - CPAPER
TI  - Emerging Advances in Learned Video Compression: Models, Systems and Beyond
AU  - Jia, Chuanmin
AU  - Ye, Feng
AU  - Ma, Siwei
AU  - Gao, Wen
AU  - Sun, Huifang
AU  - Chiariglione, Leonardo
T2  - Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25
PB  - International Joint Conferences on Artificial Intelligence Organization
PY  - 2025
SP  - 10490
EP  - 10498
DO  - 10.24963/ijcai.2025/1165
UR  - https://doi.org/10.24963/ijcai.2025/1165
ER  -