The interconnection of large-scale visual sensors is called the Internet of Video Things(IoVT),which brings a qualitative leap to the interaction of urban ***,communication delay and resource allocation have brought c...
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The interconnection of large-scale visual sensors is called the Internet of Video Things(IoVT),which brings a qualitative leap to the interaction of urban ***,communication delay and resource allocation have brought challenges to the development of *** this paper,we propose a novel city surveillance IoVT architecture to improve *** paradigm consists of front-end target region capture,edge computing and cloud-end feature matching,which can adapt the channel and computing resource allocation ratio flexibly,avoiding communication link congestion caused by unnecessary video *** results show that the proposed scheme is feasible,and can realize efficient data transmission and analysis in an IoVTbased smart city.
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