A Distributed Video Monitoring System Architecture for Semantic Retrieval

The storage and intelligent retrieval of massive video data is a hot topic in the field of surveillance. This paper designs a system architecture for distributed storage, indexing, and querying of ultra-magnitude video and its source data. By adopting a loosely coupled architecture, the various processing modules and services are completely separated. The system supports full processing from storage to semantic retrieval, enabling seamless expansion of the system and supporting uninterrupted video streaming.