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On-line distributed monitoring video processing task scheduling method and device

A distributed monitoring and video processing technology, applied in the field of video processing, can solve the problems of low resource utilization, poor system reliability, video stream data loss, etc., to improve system resource utilization, improve system reliability, and reduce scheduling. The effect of cell granularity

Active Publication Date: 2016-07-20
BEIJING UNIV OF POSTS & TELECOMM
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the camera video stream data flow increases, the server is likely to be down due to excessive load and other reasons
All video stream data being processed on this server will be permanently lost. Even if the task is restarted on other servers, the processed video stream data can only be the data at the current point in time, and the reliability of the system is poor.
[0005] It can be seen that in the existing online intelligent surveillance video processing system, the resource utilization rate is low and the system reliability is poor

Method used

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0046] The embodiment of the present invention discloses an online distributed monitoring video processing task scheduling method and device, which are applied to a video processing server and will be described in detail below.

[0047] figure 1 It is a schematic flow diagram of an online distributed monitoring video processing task scheduling method provided by an embodiment of the present invention. The method is applied to a video processing server and includes ...

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PUM

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Abstract

The embodiment of the present invention discloses an on-line distributed monitoring video processing task scheduling method and device which is applied to a video processing server. The method comprises the steps of obtaining the video data acquired by each monitoring device, packaging and caching the video data acquired by each monitoring device based on a Kafka distributed message queue; reading the packaged video data based on a spark streaming distributed stream processing method, and obtaining each video frame in the video data; processing the obtained each video frame. By applying the embodiment of the present invention, the system reliability and the system resource utilization rate can be improved effectively.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to an online distributed monitoring video processing task scheduling method and device. Background technique [0002] At present, the number of image acquisition devices for video surveillance is growing explosively, and the coverage area is continuously expanding. Most of the image acquisition devices have high resolution, and these image acquisition devices are spread all over the place, generating large-scale surveillance video data continuously every day. Faced with such a large-scale video data, how to accurately and efficiently process the real-time generated video data has become one of the challenges of the intelligent video surveillance system. As an important subsystem of the intelligent video surveillance system, the online intelligent surveillance video processing system is responsible for video processing of the video stream data generated in real time. [00...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/08H04N5/919G06F17/30
CPCG06F16/71H04L67/1097H04N5/919
Inventor 张海涛马华东宼月严瑾李文生
Owner BEIJING UNIV OF POSTS & TELECOMM
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