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City-level monitoring video quality evaluation method and system

A technology for quality assessment and monitoring video, applied in the field of video analysis, it can solve the problems of inability to shoot, low equipment improvement rate, lack of analysis reports, etc., to achieve the effect of speeding up the evaluation speed

Pending Publication Date: 2022-06-03
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] Video surveillance quality assessment is a hot topic nowadays. It is currently in the period of large-scale video surveillance system construction. However, urban quality surveillance systems often face problems such as inability to quickly process a large number of cameras and inconvenient maintenance for managers.
[0003] At present, video quality evaluation methods mainly include subjective evaluation and objective evaluation. Subjective video quality evaluation mainly relies on manual inspection. However, when a large number of cameras need to be processed, there will be insufficient human resources, low efficiency, low equipment perfection rate, and lack of professional analysis reports. And other issues
At the same time, in places such as traffic intersections and shops, the requirements for the camera are relatively high, and the quality of the surveillance video needs to be ensured to be high. If the performance is too low, that is, the effective features of the target cannot be photographed, it may cause great losses

Method used

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  • City-level monitoring video quality evaluation method and system
  • City-level monitoring video quality evaluation method and system
  • City-level monitoring video quality evaluation method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0059] like figure 1 As shown, this embodiment provides a city-level surveillance video quality assessment method, including:

[0060] Get quality assessment tasks;

[0061] According to the quality evaluation task and the evaluation processing time, the task scheduling is carried out, and the task scheduling result is obtained;

[0062] Assign tasks according to task scheduling results and task important factors, and obtain task assignment results;

[0063] Based on the task assignment results, the performance of each surveillance camera is evaluated, and the quality evaluation test result of a single surveillance camera of a single surveillance camera is obtained;

[0064] Based on the quality assessment detection results of a single surveillance camera and the scores of surveillance videos in other regions, an overall assessment of surveillance videos in the quality assessment task is performed to obtain city-level surveillance video quality assessment results.

[0065] ...

Embodiment 2

[0104] This embodiment provides a city-level surveillance video quality evaluation system, including:

[0105] Client: used to obtain quality assessment tasks;

[0106] Central management module: used to schedule tasks according to quality assessment tasks and assessment processing time, and obtain task scheduling results;

[0107] Streaming media forwarding module: used to assign tasks according to task scheduling results and task important factors, and obtain task assignment results;

[0108] Video analysis and image processing module: It is used to evaluate the performance of each surveillance camera based on the task assignment results, and obtain the quality evaluation and detection results of a single surveillance camera of a single surveillance camera;

[0109] System quality assessment module: Based on the quality assessment test results of a single surveillance camera and the scores of surveillance videos in other areas, the overall assessment of surveillance videos ...

Embodiment 3

[0117] An embodiment of the present invention provides a computing device, including a processor and a storage medium;

[0118] the storage medium is used for storing instructions;

[0119] The processor is configured to operate according to the instructions to execute the steps of the method of the first embodiment.

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Abstract

The invention discloses a city-level monitoring video quality evaluation method and system. The method comprises the following steps: obtaining a quality evaluation task; performing task scheduling according to the quality evaluation task and the evaluation processing time to obtain a task scheduling result; performing task allocation according to the task scheduling result and the task important factors to obtain a task allocation result; based on the task allocation result, evaluating the performance of each monitoring camera to obtain a quality evaluation detection result of the single monitoring camera; and based on the quality evaluation detection result of the single monitoring camera and the scores of the monitoring videos in other areas, performing overall evaluation on the monitoring videos in the quality evaluation task to obtain a city-level monitoring video quality evaluation result. According to the method, the to-be-processed monitoring cameras are optimally allocated, so that the monitoring video quality evaluation behavior can be quickly carried out, and the city-level monitoring video evaluation speed can be accelerated.

Description

technical field [0001] The invention relates to a city-level monitoring video quality evaluation method and system, and belongs to the technical field of video analysis. Background technique [0002] Video surveillance quality assessment is a hot issue today. Currently, it is in the construction of large-scale video surveillance systems. However, urban quality surveillance systems are often faced with problems such as being unable to quickly handle a large number of cameras and inconvenient for managers to maintain. [0003] At present, video quality evaluation methods mainly include subjective evaluation and objective evaluation. Subjective video quality evaluation mainly relies on manual detection. However, when a large number of cameras need to be processed, there will be insufficient human resources, low efficiency, low equipment improvement rate, and lack of professional analysis reports. And other issues. At the same time, in places such as traffic intersections and s...

Claims

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Application Information

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IPC IPC(8): H04N17/00
CPCH04N17/00
Inventor 李晓飞吕婧妍
Owner NANJING UNIV OF POSTS & TELECOMM
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