Heterogeneous environment-based massive video structured analysis system and method

Abstract

The invention relates to a heterogeneous environment-based massive video structured analysis system and method. The system comprises a task management module, a streaming media receiving module, a transcoding module and a video analysis module; the task management module is used for dividing a received task into a plurality of sub-tasks, allocating the sub-tasks to the streaming media receiving module, and carrying out merging unified management according to the analysis results of the sub-tasks; after the streaming media receiving module receives streaming media codes from a heterogeneous environment, the task management module allocates a transcoding task to the transcoding module; after transcoding is completed, the task management module imports a transcoded standard video file into a view library, and then allocates the sub-tasks to analysis nodes; the analysis nodes carry out video structured analysis based on the standard video file; and the task management module merges the analysis results of the sub-tasks and imports merged analysis results into the view library, so that the merged analysis results can be managed in a unified manner.

Description

technical field [0001] The present invention relates to the field of video monitoring, and more specifically, relates to a system and method for structured analysis of mass video based on heterogeneous environments. Background technique [0002] In the field of video surveillance, video structural analysis is an in-depth application of massive video resources. By using various algorithms to analyze videos, computers can replace manual workers to extract valuable information from massive video resources. The accuracy and efficiency of video analysis are often the common needs of users and algorithm service providers. At present, due to various video surveillance platforms, the sources of connected video capture devices are very diverse, and the video encoding methods used by different video capture devices are also different, which makes the video encoding methods and video file formats provided by different video surveillance platforms very different. , and even many video ...

AI Technical Summary

Problems solved by technology

At present, due to various video surveillance platforms, the sources of connected video capture devices are very diverse, and the video encoding methods used by different video capture devices are also different, which makes the video encoding methods and video file formats provided by different video surveillance platforms very different. , and even many video files can only be decoded by the SDK provided by the video capture device provider, which leads to algorithm service providers needing to study various video formats and SDKs provided by the video capture device provider, increasing the difficulty of connecting video structured analysis systems Difficulty, which is not conducive to the application and popularization of video structured analysis

In addition, the traditional serial analysis mode cannot meet the massive video data analysis requirements

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