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Detail
Journal Article
AI 기반 미디어 부호화 기술 표준화 동향
- Issue Date
- 2025-04
- Citation
- 전자통신동향분석, v.40, no.2, pp.20-29
- ISSN
- 1225-6455
- Publisher
- 한국전자통신연구원
- Language
- Korean
- Type
- Journal Article
- Abstract
- Global data traffic has surged due to the rise in internet users and the spread of smart devices and the Internet of Things. Audio and video content, which account for a large portion of network traffic, require efficient transmission and processing. Emerging challenges such as maintaining quality, optimizing for machine learning, and enabling real-time processing are difficult for traditional technologies to address. Artificial Intelligence(AI)-based media coding has emerged as a key solution, balancing data efficiency and quality while meeting the needs of both machines and humans. This study outlines the ongoing standardization efforts related to AI-based media coding technologies within the framework of MPEG media standards. Specifically, we focus on AI-driven coding techniques for both 2D and 3D video, as well as the standardization process for machine-centric video and audio coding technologies. The research explores the advancements and the collaborative initiatives underway to integrate AI into media compression, emphasizing the role of these technologies in shaping the future of media standards.
- Keyword
- AI, video coding, video coding for machine, audio coding for machine
- KSP Keywords
- 2D and 3D, 3D video, Audio and video, Balancing data, Coding techniques, Data traffic, Efficiency and quality, Real-Time processing, Smart devices, Traditional technologies, Video and audio coding
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
