Video structuring technology can optimize existing smart traffic services from multiple dimensions, and streamline video data that is large in number, slow in response, and most of which has no application value, and is transformed into a more convenient search and a smaller storage space. High-density data that can be deeply excavated helps power police upgrades, enhances the ability of video image information service police to combat actual operations, and makes image information play a greater role in traffic management.
1. Close to the actual battle - extract key features from the video
Video is the basic resource and provides a lot of image information, but it has the following problems:
1. Police officers are mainly concerned with the basic information such as motor vehicles and non-motor vehicles in the video. In fact, many surveillance image resources contain a large amount of redundant data information. There is currently no means to automatically extract and mine key information.
2. The video image occupies a large storage space. The general monitoring video data is deleted in one month, and the key information cannot be saved for a long time. Video structuring provides the extraction of intelligence information based on motor vehicles, non-motor vehicles, pedestrian targets, event-based positioning, information mining, etc., so that surveillance images can be changed from the previous image transmitter to active and intelligent, and images can be analyzed. The identification tool effectively converts image information into valuable data, which helps the police department to carry out traffic management work more conveniently.
2. Efficient research and judgment——mass image retrieval and traffic data mining based on feature comparison
Using feature extraction, similar target features are retrieved in a structured database. Based on traffic violations and traffic accident analysis, comprehensive analysis and judgment of traffic information is carried out to conduct data mining. By searching the map, the key points can be quickly located in the massive information, thereby effectively reducing the time of manual viewing, reducing the manpower input and the investigation time, and realizing the rapid analysis of the case in different situations.
At the same time, based on the key feature information of the vehicle structure, the vehicle record data is formed, which promotes the development and application of the background big data analysis service and industry data mining, and realizes the composition, traffic distribution and illegal situation of the road running vehicles all the year round. Automated recording and analysis provides powerful statistical data for the traffic management department.
3. Service Management - long-term preservation of structured data and image information
Through the video structure of video storage video and real-time video, the image information of interest in the traffic management service is extracted, and the important information information in the image information is aggregated and stored, and the later statistics and management are facilitated, and the application for each business department is included. Data exchange is provided by services such as data exchange and sharing, data query and retrieval, comparison analysis, and unified judgment.
The combination of video structuring technology and smart transportation field can realize the intelligentization and dataization of video surveillance images through video information analysis and network sharing, realize video image processing and analysis based on automatic processing of video structured system, and transform For the data information available for police work, expand the application mode of video images in smart traffic work, and realize the diverse, easy-to-use and convenient video on-demand service application with the actual police service as the core. (Author: Wei only)

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