What are the application characteristics of video structuring technology in the field of intelligent transportation?

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Video structuring is a technology based on video content information extraction. It organizes into structured information that can be understood by computers and humans according to the semantic relationship of video content, using methods such as spatiotemporal segmentation, feature extraction and object recognition. From the perspective of data processing, video structured description technology can transform unstructured video data into structured or semi-structured intelligence information that can be understood by humans and machines, and further transformed into intelligence data used in public security combat to realize video. Data is transformed into information and information, reaching the smart application of the video-aware world.
Video structured description is not only an effective technology for informationization and information transformation of massive video, but also a direct solution for video structured processing in the current public security field. In terms of the content of the video structured description, the video information that the smart traffic pays attention to is mainly the vehicle. In the video, the vehicle is presented as a descriptive individual, and the description information includes: vehicle license plate, body color, vehicle type, vehicle brand, sub-brand, car sticker, car accessories information and the like. After video structuring, the following objectives can be achieved:
The first is that video search speed has been greatly improved. After the video is structured, look up the vehicle suspect target on a screenshot from a million-level target library (corresponding to hundreds of thousands of hours of HD video), and complete it in a few seconds; It can be done in minutes (if you use big data retrieval, the speed will be faster, up to 100 million data seconds search). Searching queries on a structured basis can solve the problem of fast target finding.
Second, video structuring can revitalize video data and can be used as a basis for data mining. After the video is structured, it is stored in the corresponding structured database and structured video image resource server. It can perform deep data mining on various structured databases, fully play the role of big data, improve the application value of video data, and improve Analysis and prediction of video data.
At present, the application of video structuring in the field of intelligent transportation is getting higher and higher, because video structuring technology can provide important information and evidence for timely detection of traffic violations, traffic accidents, and theft of motor vehicles. At the same time, in the smart traffic, the bayonet video surveillance equipment has a relatively fixed angle of capture for the vehicle, and can better identify and extract the corresponding vehicle features, which is a good matching point between the business requirements and the technology. The video surveillance industry is vigorously developing video intelligent structuring technology. As the leader of the security industry, Tiandi Weiye has laid the foundation for promoting video structuring by deploying intelligent hardware facilities and analysis algorithms. (Author: Wei only)

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