Abstract
The video data in large-scale video surveillance systems are rapidly growing with the massive deployment of video cameras. The video description data also has an explosion in the data volume with the development of effective video analysis techniques. To manage video data, image data and video description data more efficiently, it requires a heterogeneous data environment to meet various requirements. In this study, we propose a data platform that achieves high available and multi-dimensional information access. It provides isolated and efficient data access services through index fragmentation, index balancing and dynamic capacity increase, which enables the near real-time data storage and retrieval in large-scale video surveillance systems.
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