A Survey on Object Detection for the Internet of Multimedia Things (IoMT) using Deep Learning and Event-based Middleware: Approaches, Challenges, and Future Directions
作者：
Highlights：
• Challenges and Directions for the Internet of Multimedia Things (IoMT).
• Using Deep Neural Networks, Domain Adaptation, and Event-based Middleware.
• Analyze Current Multimedia Event Processing Approaches are Non-Adaptable.
• Evaluates Object Detection Models not sufficient for Minimizing the Response-Time.
• Tiny Object Detection Datasets could form a baseline for Detecting Unseen Classes.
摘要
•Challenges and Directions for the Internet of Multimedia Things (IoMT).•Using Deep Neural Networks, Domain Adaptation, and Event-based Middleware.•Analyze Current Multimedia Event Processing Approaches are Non-Adaptable.•Evaluates Object Detection Models not sufficient for Minimizing the Response-Time.•Tiny Object Detection Datasets could form a baseline for Detecting Unseen Classes.
论文关键词：Internet of Multimedia Things,Event Processing,Multimedia Events,Object Detection,Smart Cities,Deep Neural Networks,Machine Learning
论文评审过程：Received 6 December 2019, Revised 20 August 2020, Accepted 14 December 2020, Available online 29 December 2020, Version of Record 29 December 2020.
论文官网地址：https://doi.org/10.1016/j.imavis.2020.104095
