Intelligent analysis method for mass real-time video code stream based on cloud computation and system thereof

Abstract

The invention relates to the field of video monitoring, and discloses an intelligent analysis method for mass real-time video code stream based on cloud computation and a system thereof. A distributive computation frame is guided so that a problem that a traditional distributive computation frame can not orient to a mass video data code stream real-time processing is solved, performance expansion is convenient, the resource is effectively utilized, and each computation resource can be highly efficiently coordinated for real-time analysis. The intelligent analysis method for the mass real-time video code stream based on the cloud computation comprises the following steps that: a client generates slicing information; the client uploads the slicing information to a main node; the client submits an operation to the main node; the main node separates the operation into multiple tasks, and respectively appoints the tasks and the slicing information associated with the tasks to a plurality of task nodes; and each task node executes the appointed task to acquire and analyze a real-time video code and instantly transmits an analysis result to a server.

Description

technical field [0001] The invention relates to the field of video monitoring, in particular to a mass video real-time processing technology. Background technique [0002] Hadoop, the current distributed system infrastructure, is an open source implementation of Yahoo's cloud computing ideas about Google, and has achieved relatively good results in traditional Internet applications. However, the inventors of the present invention have found that there are problems in the real-time intelligent analysis of massive video streams under the distributed system infrastructure hadoop: [0003] First of all, because Hadoop is oriented to the batch processing of massive data, its response will have a certain time delay. Although Hadoop uses distributed computing technology to process massive data much faster than independent computer processing, but due to the limitations of Hadoop's own framework characteristics, It cannot return processing results in real time. [0004] Secondly, ...

AI Technical Summary

Problems solved by technology

[0010] The purpose of the present invention is to provide a cloud computing-based intelligent analysis method and system for massive real-time video streams, which introduces a distributed computing framework for intelligent analysis of large-scale real-time video data, and solves the problem that the traditional distributed computing framework cannot face massive The problem of real-time processing of video data streams is convenient for performance expansion and effective use of resources, so that various computing resources can be efficiently coordinated for real-time analysis of large-scale video streams

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