Method for processing video image information of mass data and database system

Abstract

The present invention provides a method for processing video image information of mass data and a database system. According to the present invention, a big data processing technology is utilized and processing, storage, switching and analysis application of the mass video image information data. According to the present invention, for the mass video image information, an event is used as a core and structural and / or unstructured data based on event contents is formed by defining the event contents of a video image so as to establish video image content information flow on the basis of video streaming. Therefore, the database system disclosed by the present invention constructs a distributed storage platform and a distributed parallel analysis processing mechanism for the video image information and the structural and / or unstructured data based on the event contents so as to implement real-time flow processing on the video image content information flow. According to the present invention, data sharing and exchange of the video image information are realized, a data isolated island is overcome, and deepening application of data is strengthened.

Description

technical field [0001] The invention relates to the field of information technology related to video, in particular to a method and database system for processing video image information of massive data. Background technique [0002] Video image information resource is a very important basic resource of urban management. For example, public security organs can rely on video surveillance systems to collect video image information, and carry out public security prevention and control and strikes in a timely manner based on video surveillance. [0003] However, the functions of traditional video surveillance systems are limited, and there is a lack of in-depth mining of video information that is closely integrated with the actual combat of public security, so it is difficult to support differentiated video surveillance in-depth application requirements. The current contradictions and problems of these systems are mainly reflected in: 1. Due to the wide-area deployment of the m...

AI Technical Summary

Problems solved by technology

[0003] However, the functions of the traditional video surveillance system are limited, and there is a lack of in-depth mining of video information that is closely integrated with the actual combat of public security, and it is difficult to support differentiated video surveillance in-depth application requirements

The current contradictions and problems of these systems are mainly reflected in: 1. Due to the wide-area deployment of the monitoring system, the collected video information resources involved in the case are basically scattered in the hands of the police handling the case, forming a large number of isolated information islands, which is inconvenient for resource sharing. Conducive to the analysis and processing of stringent cases in different regions and different case investigations

Although some systems have completed the unified storage of video information resources through the centralized integration of video surveillance systems in a wide area, they will form a large amount of video image information, making it very difficult to apply video image information in the future, and it is difficult to extract Useful video information

2. The electronic police, smart bayonet system and other monitoring methods have not yet achieved organic integration with the video monitoring system, and the application performance has not been fully released

3. The application of video information needs to be connected with other information systems of public security organs to play a greater role, such as PGIS, combat prevention and control systems, population information, vehicle information, etc.; the existing technology lacks the ability to apply video information to actual police combat The information system with closely integrated business is difficult to support the differentiated video information application requirements of different types of police

[0004] The above-mentioned problems exist in the existing technology, and the core bottleneck is that due to the large amount of data of video and image information resources, the data types, encoding protocols and file formats all present diverse and heterogeneous characteristics, and the data is mostly structured and unstructured mixed data. However, the existing technology lacks a mechanism for unified management and effective processing of massively stored video image information, which makes the system unable to bear the load brought by direct calculations on massive video information, and cannot be implemented on the basis of massive video resources. Realize the integrated application with other information, and cannot provide external interfaces with strong usability and compatibility

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