Resource exploration and analysis-based multi-intelligence scheduling system and resource exploration and analysis-based multi-intelligence scheduling method for video resources

Abstract

The invention relates to a resource exploration and analysis-based multi-intelligence scheduling system and a resource exploration and analysis-based multi-intelligence scheduling method for video resources. The resource exploration and analysis-based multi-intelligence scheduling system for the video resources comprises a plurality of algorithm computing service units and a hardware computing resource unit; each algorithm computing service unit is connected with the hardware computing resource unit correspondingly and dynamically distributed; the resource exploration and analysis-based multi-intelligence scheduling system for the video resources also comprises a task originator terminal, a task type parameter analysis unit, a loading algorithm and computing unit and a resource exploration and analysis processing unit, wherein the task originator terminal is connected with the task type parameter analysis unit; the task type parameter analysis unit is connected with the loading algorithm and computing unit; the loading algorithm and computing unit is also connected with the algorithm computing service units and the resource exploration and analysis processing unit; each algorithm computing service unit is capable of realizing structured processing on high-definition videos.

Description

technical field [0001] The invention relates to a method for analyzing surveillance video, in particular to a multi-intelligent scheduling method based on detection and analysis of video resources. Background technique [0002] As we all know, with the development of high-definition video surveillance systems, video data resource analysis has been widely used in many fields such as safe cities, smart cities, and high-tech police. It is an effective means of processing video big data. Because the video data of the high-definition video system is very large, the intelligent video needs to be processed are different. The existing intelligent video algorithms and products alone or for a certain application can no longer meet the requirements of the high-definition intelligent video system, which seriously affects the system. Performance expansion and application, resulting in a large amount of high-definition video resource waste. Because the data volume of the high-definition ...

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to provide a multiple intelligent video resource scheduling system and scheduling method based on resource detection and analysis to solve the problem of waste of a large number of high-definition video data resources. question

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