Edge-Cloud Collaborative Processing for Intelligent Internet of Things: A Case Study on Smart Surveillance

被引：17
|
作者：
Mudassar, Burhan A. [1 ]
Ko, Jong Hwan [1 ]
Mukhopadhyay, Saibal [1 ]
机构：
[1] Georgia Inst Technol, Atlanta, GA 30332 USA
来源：
2018 55TH ACM/ESDA/IEEE DESIGN AUTOMATION CONFERENCE (DAC) | 2018年
关键词：
Edge-Cloud Partitioned Processing; Content Aware Feedback; Object Detection;
D O I：
10.1145/3195970.3196036
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Limited processing power and memory prevent realization of state of the art algorithms on the edge level. Offloading computations to the cloud comes with tradeoffs as compression techniques employed to conserve transmission bandwidth and energy adversely impact accuracy of the algorithm. In this paper, we propose collaborative processing to actively guide the output of the sensor to improve performance on the end application. We apply this methodology to smart surveillance specifically the task of object detection from video. Perceptual quality and object detection performance is characterized and improved under a variety of channel conditions.
引用
收藏
页数：6
相关论文
共 50 条
  • [21] Design and Construction of a Hybrid Edge-Cloud Smart Surveillance System with Object Detection
    McBride, G. D.
    Sumbwanyambe, M.
    [J]. 2021 IEEE INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATION, AND INTELLIGENT SYSTEMS (ICCCIS), 2021, : 642 - 647
  • [22] PETRI: Reducing Bandwidth Requirement in Smart Surveillance by Edge-Cloud Collaborative Adaptive Frame Clustering and Pipelined Bidirectional Tracking
    Liu, Ruoyang
    Zhang, Lu
    Wang, Jingyu
    Yang, Huazhong
    Liu, Yongpan
    [J]. 2021 58TH ACM/IEEE DESIGN AUTOMATION CONFERENCE (DAC), 2021, : 421 - 426
  • [23] Collaborative Edge-Cloud and Edge-Edge Video Analytics
    Gazzaz, Samaa
    Nawab, Faisal
    [J]. PROCEEDINGS OF THE 2019 TENTH ACM SYMPOSIUM ON CLOUD COMPUTING (SOCC '19), 2019, : 484 - 484
  • [24] A Hybrid Edge-Cloud System for Networking Service Components Optimization Using the Internet of Things
    Pal, Souvik
    Jhanjhi, N. Z.
    Abdulbaqi, Azmi Shawkat
    Akila, D.
    Almazroi, Abdulaleem Ali
    Alsubaei, Faisal S.
    [J]. ELECTRONICS, 2023, 12 (03)
  • [25] A Software-Defined-Networking-Enabled Approach for Edge-Cloud Computing in the Internet of Things
    Dai, Minghui
    Su, Zhou
    Li, Ruidong
    Yu, Shui
    [J]. IEEE NETWORK, 2021, 35 (05): : 66 - 73
  • [26] Edge-Cloud Computing and Artificial Intelligence in Internet of Medical Things: Architecture, Technology and Application
    Sun, Lanfang
    Jiang, Xin
    Ren, Huixia
    Guo, Yi
    [J]. IEEE ACCESS, 2020, 8 : 101079 - 101092
  • [27] Cloud-edge Collaborative Structure Model for Power Internet of Things
    SI Yufei
    TAN Yanghong
    WANG Feng
    KANG Wenni
    LIU Shan
    [J]. 中国电机工程学报, 2020, (24) : 8234 - 8234
  • [28] Cloud-Edge Collaborative Structure Model for Power Internet of Things
    Si Y.
    Tan Y.
    Wang F.
    Kang W.
    Liu S.
    [J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2020, 40 (24): : 7973 - 7979
  • [29] An Edge-Cloud Collaborative Object Detection System
    Xu, Lei
    Yang, Dingkun
    [J]. UBIQUITOUS SECURITY, 2022, 1557 : 371 - 378
  • [30] Intelligent and Scalable IoT Edge-Cloud System
    Manihar, Shifa
    Patel, Ravindra
    Rehman, Tasneem Bano
    Agrawal, Sanjay
    [J]. INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2020, 11 (08) : 359 - 364
12345