CN-115967799-B - Method, device and equipment for analyzing frame skipping root cause of video frame skipping file

CN115967799BCN 115967799 BCN115967799 BCN 115967799BCN-115967799-B

Abstract

The application discloses a root cause analysis method, a device and equipment of a video frame-skipping file, wherein the method comprises the steps of extracting video file information in a target video file, wherein the video file information comprises video time length, file size and code rate, the target video file comprises corresponding source equipment, carrying out frame-skipping abnormal analysis on the target video file according to the video file information by adopting a preset analysis model, determining video frame-skipping equipment according to the number of the video frame-skipping files, carrying out network correlation analysis, equipment model analysis and resource pool analysis on the video frame-skipping equipment respectively, and carrying out multi-factor weighted analysis operation according to a preset weight to obtain the root cause of the video frame-skipping. The application can solve the technical problems of complex and various reasons and difficult determination of the video frame skip problem in the prior art.

Inventors

LI JIAHUI
ZHAO ZIYING

Assignees

天翼数字生活科技有限公司

Dates

Publication Date: 20260505
Application Date: 20221222

Claims (8)

1. A method for analyzing the root cause of a frame skip of a video frame skip file is characterized by comprising the following steps: Extracting video file information from a target video file, wherein the video file information comprises video duration, file size and code rate, and the target video file comprises corresponding source equipment; carrying out frame skipping abnormality analysis on the target video file according to the video file information by adopting a preset analysis model, and determining video frame skipping equipment according to the number of the video frame skipping files; respectively carrying out network correlation analysis, equipment model analysis and resource pool analysis on the video frame-skipping equipment, and carrying out multi-factor weighted analysis operation according to a preset weight to obtain a video frame-skipping root cause; the frame skipping abnormality analysis is carried out on the target video file according to the video file information by adopting a preset analysis model, video frame skipping equipment is determined, the video frame skipping equipment is determined according to the number of the video frame skipping files, and the method comprises the following steps: Judging whether the video duration, the file size and the code rate of the video file information are in a preset abnormal range or not by adopting a preset analysis model, if so, marking the corresponding target video file as a video frame-skipping file, wherein the video frame-skipping file comprises corresponding frame-skipping source equipment; And if the number of the video frame-skipping files corresponding to a certain frame-skipping source device exceeds a number threshold value within a preset time length, marking the frame-skipping source device as video frame-skipping device.
2. The method for analyzing the root cause of frame skip in a video frame skip file according to claim 1, wherein extracting video file information in a target video file, the video file information including video duration, file size and code rate, the target video file including a corresponding source device, further includes: and acquiring the recorded video file of the customer complaint video skip frame from the cloud storage recorded file to obtain the target video file.
3. The method for analyzing the root cause of frame skipping of video frame skipping files according to claim 1, wherein if the number of the video frame skipping files corresponding to a certain frame skipping source device exceeds a number threshold within a preset time period, marking the frame skipping source device as a video frame skipping device, and further comprising: and calculating the frame skip ratio according to the number of the video frame skip files and the number of the video frame skip devices to obtain a frame skip ratio result.
4. The method for analyzing the root cause of a frame skip in a video frame skip file according to claim 1, wherein the steps of performing network correlation analysis, equipment model analysis and resource pool analysis on the video frame skip equipment respectively, and performing multi-factor weighted analysis operation according to a preset weight to obtain the root cause of the frame skip in the video frame skip file further comprise: and providing a repair suggestion for an operator according to the video frame skipping root cause, wherein the repair suggestion comprises resource pool capacity expansion and equipment firmware upgrading.
5. A frame skip root cause analysis device for a video frame skip file, comprising: The information extraction unit is used for extracting video file information from a target video file, wherein the video file information comprises video duration, file size and code rate, and the target video file comprises corresponding source equipment; the frame skip analysis unit is used for carrying out frame skip abnormality analysis on the target video file according to the video file information by adopting a preset analysis model, and determining video frame skip equipment according to the number of the video frame skip files; The root cause analysis unit is used for respectively carrying out network correlation analysis, equipment model analysis and resource pool analysis on the video frame-skipping equipment, and carrying out multi-factor weighted analysis operation according to a preset weight value to obtain a video frame-skipping root cause; The frame skip analysis unit is specifically configured to: Judging whether the video duration, the file size and the code rate of the video file information are in a preset abnormal range or not by adopting a preset analysis model, if so, marking the corresponding target video file as a video frame-skipping file, wherein the video frame-skipping file comprises corresponding frame-skipping source equipment; And if the number of the video frame-skipping files corresponding to a certain frame-skipping source device exceeds a number threshold value within a preset time length, marking the frame-skipping source device as video frame-skipping device.
6. The apparatus for analyzing a root cause of a frame skip of a video frame skip file according to claim 5, further comprising: The video acquisition unit is used for acquiring the recorded video file of the customer complaint video skip frame from the cloud storage recorded file to obtain the target video file.
7. The apparatus for analyzing a root cause of a frame skip of a video frame skip file according to claim 5, further comprising: And the repair suggestion unit is used for providing repair suggestions for operators according to the video frame skipping root factor, wherein the repair suggestions comprise resource pool capacity expansion and equipment firmware upgrading.
8. The root cause analysis equipment of the video frame skip file is characterized by comprising a processor and a memory; the memory is used for storing program codes and transmitting the program codes to the processor; the processor is configured to execute the method for analyzing the root cause of frame skip of the video frame skip file according to any of claims 1-4 according to instructions in the program code.

Description

Method, device and equipment for analyzing frame skipping root cause of video frame skipping file Technical Field The present application relates to the field of video analysis technologies, and in particular, to a root cause analysis method, apparatus, and device for a video frame skip file. Background With the continuous penetration of home security technologies and devices, it has become a common or even necessary matter to install monitoring cameras in the home. The body and shadow of the monitoring cameras can be seen everywhere in various public places of the city, roads and private courtyards of the rural areas. In the field of video monitoring, recorded videos are often uploaded to the cloud in real time, an operator provides video cloud storage service, and a cloud storage video review function is provided for users to take and review historical videos. Video monitoring greatly enriches our lives and makes us feel safer, but a technology or a product is popular to the public, and some associated problems, such as video frame skipping, are unavoidable. In the angle of the user, the video frame skipping causes the video picture to be stained, invisible and the video period to be lost, and even the key picture is missed when some important cases occur, namely the monitoring is out of order. In terms of operators, the key to influence the quality of products is that customers consider to record high-quality products which are more stable and difficult to skip frames, and the survival of the products is not facilitated. The method mainly has various reasons for frame skip, can not be simply and completely solved by improving a certain link, and has no more comprehensive reason analysis method for video frame skip and good solution in the prior art. Disclosure of Invention The application provides a root cause analysis method, a root cause analysis device and root cause analysis equipment for a video frame-skipping file, which are used for solving the technical problems that the reasons of the video frame-skipping problem in the prior art are complex and various and are not easy to determine. In view of the above, a first aspect of the present application provides a root cause analysis method for a video skip frame file, including: Extracting video file information from a target video file, wherein the video file information comprises video duration, file size and code rate, and the target video file comprises corresponding source equipment; carrying out frame skipping abnormality analysis on the target video file according to the video file information by adopting a preset analysis model, and determining video frame skipping equipment, wherein the video frame skipping equipment is determined according to the number of the video frame skipping files; And respectively carrying out network correlation analysis, equipment model analysis and resource pool analysis on the video frame-skipping equipment, and carrying out multi-factor weighted analysis operation according to a preset weight to obtain a video frame-skipping root cause. Preferably, the extracting video file information in the target video file, where the video file information includes video duration, file size and code rate, and the target video file includes a corresponding source device, and before further includes: and acquiring the recorded video file of the customer complaint video skip frame from the cloud storage recorded file to obtain the target video file. Preferably, the frame skipping anomaly analysis is performed on the target video file according to the video file information by using a preset analysis model, and a video frame skipping device is determined, where the video frame skipping device is determined according to the number of video frame skipping files, and the method includes: Judging whether the video duration, the file size and the code rate of the video file information are in a preset abnormal range or not by adopting a preset analysis model, if so, marking the corresponding target video file as a video frame-skipping file, wherein the video frame-skipping file comprises corresponding frame-skipping source equipment; And if the number of the video frame-skipping files corresponding to a certain frame-skipping source device exceeds a number threshold value within a preset time length, marking the frame-skipping source device as video frame-skipping device. Preferably, if the number of the video frame skipping files corresponding to a certain frame skipping source device within a preset time length exceeds a number threshold, marking the frame skipping source device as a video frame skipping device, and then further including: And calculating the frame skip ratio according to the number of the video frame skip files and the video frame skip devices to obtain a frame skip ratio result. Preferably, the analyzing the network correlation, the equipment model analysis and the resource pool analysis are performed on the video