Affiliation:
1. Department of BIM RESEARCH, Nantong Institute of Technology, Nantong 226002, China
2. The Key Laboratory of Urban Security and Disaster Engineering of China Ministry of Education, Beijing University of Technology, Beijing 100124, China
Abstract
With the progress of society and the rapid development of science and technology, daily data volume also shows an exponential upward trend. From the research report of the Internet data center, we can see that the growth rate of data will change from the original slow growth to a sharp rise within 10 years. This shows that the era of big data has arrived, and video data plays an important role in it. Video comes from all aspects of life. As a typical unstructured data, video has the characteristics of large memory, and with the leap of society, this characteristic is becoming increasingly obvious. Taking video data analysis as the starting point, this paper proposes a long-term and short-term memory neural network integrating attention mechanism and verifies it in the experimental data set. The experiment shows that this method has superior performance in model accuracy and work efficiency. Therefore, the application of this method to the construction and application of video big data analysis platform is an important step to promote the development of smart cities.
Funder
Provincial Key Platform Cultivation Project of Nantong Institute of Technology
Subject
Applied Mathematics,General Physics and Astronomy