Edge Intelligence-Empowered Immersive Media

被引:4
|
作者
Wang, Zhi [1 ]
Liu, Jiangchuan [2 ]
Zhu, Wenwu [3 ]
机构
[1] Tsinghua Univ, Shenzhen 518055, Guangdong, Peoples R China
[2] Simon Fraser Univ, Burnaby, BC V5A 1S6, Canada
[3] Tsinghua Univ, Beijing 100084, Peoples R China
关键词
Streaming media; Data models; Cloud computing; Computational modeling; Task analysis; Solid modeling; Quantization (signal);
D O I
10.1109/MMUL.2023.3247574
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Recent years have witnessed many immersive media services and applications, ranging from 360 & DEG; video streaming to augmented and virtual reality (VR) and the recent metaverse experiences. These new applications usually have common features, including high fidelity, immersive interaction, and open data exchange between people and the environment. As an emerging paradigm, edge computing has become increasingly ready to support these features. We first show that a key to unleashing the power of edge computing for immersive multimedia is handling artificial intelligence models and data. Then, we present a framework that enables joint accuracy- and latency-aware edge intelligence, with adaptive deep learning model deployment and data streaming. We show that not only conventional mechanisms such as content placement and rate adaptation but also the emerging 360 & DEG; and VR streaming can benefit from such edge intelligence.
引用
收藏
页码:8 / 17
页数:10
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