Edge-Assisted Multimedia Processing is a distributed computing paradigm within mobile multimedia systems where multimedia data are processed near the data source at network edge devices to reduce latency, bandwidth usage, and cloud dependency while enabling real-time, context-aware content analysis and delivery.
26
Publications
1.6K
Citations
96
Authors
53
Institutions
Publications per year
2017–2026
24
Parents
Publications
26
Wenwu Zhu, Chong Luo, Jianfeng Wang et al. · IEEE Signal Processing Magazine · 2011 · 408 citations
Bandwidth-Efficient Live Video Analytics for Drones Via Edge Computing
Junjue Wang, Ziqiang Feng, Zhuo Chen et al. · 2018 · 203 citations
1–5 of 26
Authors
96
- HH
3
h-index
- FQ
3
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- BH
3
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- CT
3
h-index
- AE
2
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1–5 of 96
Institutions
53
Huazhong University of Science and Technology
Wuhan, China
3 h-index
7 publications
1.1K citations
George Mason University
Fairfax, United States
3 h-index
3 publications
121 citations
University of Klagenfurt
Klagenfurt, Austria
3 h-index
13 publications
237 citations
Beijing University of Posts and Telecommunications
Beijing, China
2 h-index
3 publications
92 citations
Tsinghua University
Beijing, China
2 h-index
7 publications
167 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
2 h-index
3 publications
276 citations
COMSATS University Islamabad
Islamabad, Pakistan
2 h-index
3 publications
46 citations
Twin Cities Orthopedics
Edina, United States
2 h-index
4 publications
124 citations
1–8 of 53
Venues
- IEEE Internet of Things Journal
2 publications · 57 citations
3
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- IEEE Access
2 publications · 47 citations
2
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- IEEE Wireless Communications Letters
1 publications · 27 citations
1
h-index
- Electronics
1 publications · 30 citations
1
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- IEEE Transactions on Services Computing
1 publications · 104 citations
1
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1–5