Video monitoring service quality measuring method, system and quality measuring server

Abstract

The invention discloses a video monitoring service quality measuring method, a system and a quality measuring server. In the video monitoring service quality measuring method, the quality measuring server obtains current video information, corresponding to equipment information, collected by video monitoring equipment in current time from a video monitoring service server at preset time intervals. When indicators of image quality of the current video information are beyond a preset range, historical video information of the video monitoring equipment is acquired through the video monitoring service server, and a reference value is calculated on the base of the historical video information. Judging whether the indicators of the image quality of the current video information are within the allowable range of the reference value or not, if the indicators of the image quality of the current video information are beyond the allowable range, the quality measuring server sends warning information of abnormal video quality to a quality management server. Due to the fact that definite scenes are referred to when the image quality of the current video information is judged, probability of generating incorrect warning information is reduced, and cost of system maintenance is lowered.

Description

Technical field [0001] The invention relates to the field of network transmission, in particular to a method and system for testing video surveillance service quality, and a quality testing server. Background technique [0002] At present, digital surveillance has become the mainstream of the video surveillance market. For example, "Global Eye" is a remote video surveillance service provided by China Telecom based on Internet Protocol (IP) technology and broadband networks. Through the network video surveillance service platform, disperse and independent surveillance video images are processed on the network to realize cross-region unified monitoring, unified management and hierarchical storage to meet the needs of users for remote monitoring, management and information transmission. [0003] In video surveillance systems such as "Global Eye", the quality of the video image is crucial. At present, the operating status of the video surveillance system mainly relies on manual inspec...

AI Technical Summary

Problems solved by technology

Although this solution can overcome the defects of manual inspection, it fails to consider the specific scene where the video surveillance equipment is located. For example, when the video image is deteriorated due to weather, the test platform will still generate warning information, thereby increasing the production cost. Probability of false warning messages, increasing the cost of system maintenance

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