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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Acknowledgement
This work is supported by the National Key R&D Program of China (No. 2017YFC0821603).
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Dai, J., Liu, N. (2020). The Data Platform for Large-Scale Video Surveillance Systems. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_192
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DOI: https://doi.org/10.1007/978-3-030-25128-4_192
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