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This paper introduced an architecture and system for real-time video object contextualizing and archiving system.
In particular, we:
summarize the recent studies on managing big data video management systems and video retrieval methodologies.
proposed an architecture-based YOLO algorithm to detect objects from CCTV cameras and then extract all information to JSON file to store for retrieving data in the future.
proposed a JSV format containing a schema for managing the content of objects detected from videos. The schema will support the video retrieval system in searching and exploring the content of CCTV video files.
applied the proposed architecture to manage and store videos from a real CCTV system.
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