Video loss time period determination method and device, equipment and medium

By querying the time stamp of the video recording device and judging the time difference, the recording loss time period is determined, and the problem of inaccurate detection of video recording loss in the prior art is solved, and higher detection accuracy is achieved.

CN119248963APending Publication Date: 2025-01-03SUZHOU WANDIANZHANG NETWORK TECH CO LTD
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Patent Information

Application Number
CN202411304507.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-19
Publication Date
2025-01-03

AI Technical Summary

Technical Problem

When existing video recording equipment detects video loss periods, subtle video loss situations are easily ignored, resulting in insufficient detection accuracy.

Method used

By querying the time stamp of the video recording device within the target time range, calculate the time difference between adjacent timestamps, determine whether there are breakpoints, and traverse the breakpoints to determine the recording loss time period, improving the accuracy of detection.

Benefits of technology

This method can more carefully judge the video loss situation, reduce the possibility of ignoring subtle losses, and improve the accuracy of detecting video loss.

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Abstract

The invention discloses a video loss time period determination method and device, equipment and a medium, and relates to the technical field of video image processing, and the method comprises the steps: querying a plurality of video timestamps with a clear sequence of video equipment in a target time range; determining a time difference value between adjacent video timestamps; judging whether a breakpoint exists between the adjacent video timestamps based on the time difference value; and if the breakpoint exists, traversing the adjacent video timestamps with the breakpoint so as to determine a video loss time period in the target time range. According to the invention, the accuracy of video loss detection can be improved by using the timestamp.
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Description

Technical Field

[0001] The present invention relates to the technical field of video image processing, and in particular to a method, device, equipment and medium for determining a video recording loss time period. Background Art

[0002] Currently, there is a problem of video loss in the recording of existing video recording equipment. The existing method of detecting the lost video time period is only to determine the stop and start time of the video recording by thinking or monitoring the video itself. This method may ignore some subtle video loss situations.

[0003] In summary, how to improve the accuracy of detecting video loss is an urgent problem to be solved. Summary of the invention

[0004] In view of this, the object of the present invention is to provide a method, device, equipment and medium for determining a video loss time period, which can improve the accuracy of detecting video loss. The specific scheme is as follows:

[0005] In a first aspect, the present application discloses a method for determining a video loss time period, comprising:

[0006] Query the recording timestamps of the recording devices in a clear order within the target time range;

[0007] Determine the time difference between adjacent video timestamps;

[0008] Determining whether there is a breakpoint between the adjacent video time stamps based on the time difference;

[0009] If there is a breakpoint, the adjacent video timestamps where the breakpoint exists are traversed to determine the video loss time period within the target time range.

[0010] Optionally, judging whether there is a breakpoint between the adjacent video time stamps based on the time difference includes:

[0011] Determining whether the time difference is greater than a first preset time period;

[0012] If it is greater than the first preset time period, it is determined that there is a breakpoint between the adjacent video time stamps.

[0013] Optionally, traversing the adjacent video timestamps with breakpoints to determine a video loss time period within a target time range includes:

[0014] Traverse the adjacent video timestamps where the breakpoint exists, and record the breakpoint start timestamp and breakpoint end timestamp of each breakpoint; the breakpoint start timestamp of the breakpoint is the end timestamp of the previous video timestamp of the breakpoint; the breakpoint end timestamp of the breakpoint is the start timestamp of the current video timestamp of the breakpoint;

[0015] The breakpoint start timestamp and the breakpoint end timestamp are converted into specific time to determine the video recording loss time period within the target time range.

[0016] Optionally, before judging whether there is a breakpoint between the adjacent video time stamps based on the time difference, the method further includes:

[0017] Determine whether the time difference between adjacent video timestamps is within a preset error range;

[0018] If the time difference is within the preset error range, the adjacent video time stamps are merged to obtain a plurality of new video time stamps.

[0019] Optionally, the preset error ranges corresponding to different video recording devices are the same or different.

[0020] Optionally, the determining whether the time difference between adjacent video time stamps is within a preset error range includes:

[0021] Determine whether the time difference between adjacent video time stamps is greater than a second preset time period;

[0022] If it is not greater than the second preset time period, the time difference between the adjacent video time stamps is within a preset error range.

[0023] Optionally, merging the adjacent video time stamps includes:

[0024] The end time of the previous video timestamp in the adjacent video timestamps is set as the start time of the next video timestamp.

[0025] In a second aspect, the present application discloses a device for determining a video loss time period, comprising:

[0026] A query module, used to query a number of video time stamps of a video recording device in a clear order within a target time range;

[0027] A time difference determination module, used to determine the time difference between adjacent video time stamps;

[0028] A breakpoint determination module, used for determining whether there is a breakpoint between the adjacent video time stamps based on the time difference;

[0029] The traversal module is used to traverse the adjacent video time stamps where the breakpoint exists, so as to determine the video loss time period within the target time range.

[0030] In a third aspect, the present application discloses an electronic device, comprising:

[0031] Memory, used to store computer programs;

[0032] The processor is used to execute the computer program to implement the aforementioned method for determining the video loss time period disclosed above.

[0033] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the aforementioned method for determining a video loss time period is implemented.

[0034] It can be seen that the present application queries several video timestamps of a clear order within the target time range of the video recording device; determines the time difference between adjacent video timestamps; based on the time difference, determines whether there is a breakpoint between the adjacent video timestamps; if there is a breakpoint, traverses the adjacent video timestamps with the breakpoint to determine the video loss time period within the target time range. It can be seen that the present application does not determine the video loss based on the observation of the video, but determines the observation target as the timestamp, determines whether there is a breakpoint between adjacent timestamps, and then traverses the adjacent video timestamps with the breakpoint to determine the video loss time period within the target time range, so that the judgment of video loss is more detailed, does not ignore subtle video loss, and improves the accuracy of detecting video loss. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0036] Figure 1 A flow chart of a method for determining a video loss time period disclosed in the present application;

[0037] Figure 2 A flowchart of a specific method for determining a video loss time period disclosed in the present application;

[0038] Figure 3 A schematic diagram of the structure of a device for determining a video loss time period disclosed in the present application;

[0039] Figure 4 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0040] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0041] Currently, there is a problem of video loss in the recording of existing video recording equipment. The existing method of detecting the lost video time period is only to determine the stop and start time of the video recording by thinking or monitoring the video itself. This method may ignore some subtle video loss situations.

[0042] To this end, the embodiment of the present application proposes a solution for determining the time period of video loss, which can improve the accuracy of detecting video loss.

[0043] The present application embodiment discloses a method for determining a video loss time period. Figure 1 As shown, the method includes:

[0044] Step S11: querying a number of video time stamps of a video recording device in a clear order within a target time range.

[0045] In this embodiment, the video recording timestamp can be accurate to the year and month.

[0046] In this embodiment, after determining the video timestamp, it is possible to first check whether there is a video, and if so, proceed to the subsequent steps.

[0047] Step S12: Determine the time difference between adjacent video time stamps.

[0048] In this embodiment, the adjacent video recording timestamps are two timestamps, the first timestamp and the last timestamp are used to calculate the difference once, and the other timestamps are used to calculate the difference twice.

[0049] Step S13: determining whether there is a breakpoint between the adjacent video time stamps based on the time difference.

[0050] In this embodiment, judging whether there is a breakpoint between the adjacent video time stamps based on the time difference includes: judging whether the time difference is greater than a first preset time period; if it is greater than the first preset time period, determining that there is a breakpoint between the adjacent video time stamps. Specifically, judging the continuity and integrity of the time stamps, if there is a breakpoint, it is discontinuous and incomplete.

[0051] It should be pointed out that if the time difference between adjacent recording timestamps is greater than the first preset time period, there is a breakpoint between the adjacent recording timestamps. If the time difference between adjacent recording timestamps is not greater than the first preset time period, there is no breakpoint between the adjacent recording timestamps. Specifically, breakpoints are generally caused by equipment failure or network reasons. By checking the completeness, the specific time of the breakpoint can be found, and then the cause can be located to improve product reliability. In view of some breakpoints, system logs are also missed. Checking the completeness can assist in discovering the deficiencies of the log system. Some industries, such as the medical field, require that no breakpoints are allowed within the recording time range. By checking the completeness, potential monitoring failures can be discovered in time and potential risks can be resolved in time. Therefore, if a breakpoint problem is found, the cause of the problem can be located to solve the problem, which can improve the stability of the recording equipment.

[0052] Step S14: If there is a breakpoint, traverse the adjacent video timestamps where the breakpoint exists to determine the video loss time period within the target time range.

[0053] In this embodiment, traversing the adjacent video timestamps where the breakpoint exists to determine the video loss time period within the target time range includes: traversing the adjacent video timestamps where the breakpoint exists, and recording the breakpoint start timestamp and the breakpoint end timestamp of each breakpoint; the breakpoint start timestamp of the breakpoint is the end timestamp of the previous video timestamp of the breakpoint; the breakpoint end timestamp of the breakpoint is the start timestamp of the current video timestamp of the breakpoint; converting the breakpoint start timestamp and the breakpoint end timestamp into specific time to determine the video loss time period within the target time range.

[0054] It should be pointed out that the timestamp of the video with the breakpoint is traversed (the length of the timestamp depends on the video to be checked, which can be one day, one week or one month, and the specific time can be customized), and the timestamps before and after each breakpoint are recorded as the start and end of the breakpoint. These timestamps are converted into specific time points and returned. By doing so, all the missing time periods of a certain year and month can be clearly viewed; (A normal complete video record is usually a list containing a set of data, such as the video record of June 4, which is generally [1717430400, 1717516799] without interruption, 1717430400 means 2024-06-04 00:00:00, 1717516799 means 2024-06-04 23:59:59, while the video records with breakpoints are multiple groups of data, such as [1717430400, 1717469999], [1717473599, 1717516799], 1717469999 means 2024-06-04 10:59:59, 1717473599 means 2024-06-04 11:59:59, this record means there is a breakpoint, the breakpoint time is 10:59:59 to 11:59:59, the breakpoint time is 1H, this method starts from the first set of data in the list, compares the last timestamp of the previous set of data with the start timestamp of the next set of data, until the last set of data is traversed, if the difference between the previous and the next exceeds the expected value, it is judged that the recording is incomplete, for example, the breakpoint of the above set of data starts at 10:59:59 and ends at 11:59:59).

[0055] It can be seen that the present application queries several video timestamps of a clear order within the target time range of the video recording device; determines the time difference between adjacent video timestamps; based on the time difference, determines whether there is a breakpoint between the adjacent video timestamps; if there is a breakpoint, traverses the adjacent video timestamps with the breakpoint to determine the video loss time period within the target time range. It can be seen that the present application does not determine the video loss based on the observation of the video, but determines the observation target as the timestamp, determines whether there is a breakpoint between adjacent timestamps, and then traverses the adjacent video timestamps with the breakpoint to determine the video loss time period within the target time range, so that the judgment of video loss is more detailed, does not ignore subtle video loss, and improves the accuracy of detecting video loss.

[0056] The embodiment of the present application discloses a specific method for determining the video loss time period. Compared with the previous embodiment, this embodiment further explains and optimizes the technical solution. Figure 2 As shown, specifically including:

[0057] Step S21: querying a number of video time stamps of a video recording device in a clear order within a target time range.

[0058] Step S22: Determine the time difference between adjacent video time stamps.

[0059] Step S23: determining whether the time difference between adjacent video time stamps is within a preset error range; if the time difference is within the preset error range, merging the adjacent video time stamps to obtain a plurality of new video time stamps.

[0060] In this embodiment, the preset error range can be set according to the actual situation of the video recording device, so the preset error ranges corresponding to different video recording devices are the same or different.

[0061] In this embodiment, the determining whether the time difference between adjacent video recording timestamps is within a preset error range includes: determining whether the time difference between adjacent video recording timestamps is greater than a second preset time period; if it is not greater than the second preset time period, the time difference between adjacent video recording timestamps is within the preset error range.

[0062] In this embodiment, merging the adjacent video timestamps includes: setting the end time of a previous video timestamp in the adjacent video timestamps as the start time of the next video timestamp.

[0063] It should be pointed out that if the video deviation within the second preset time period is within the allowable error range, you can first traverse the timestamps to check whether the difference exceeds the second preset time period. If it does not exceed the second preset time period, the end time of the previous video timestamp in the adjacent video timestamps is set to the start time of the next video timestamp, and those that exceed the second preset time period will not be processed; (The purpose of combined filtering: during the recording process of the actual monitoring device, if there is network fluctuations that cause packet loss and retransmission, the timestamp of the video index will be cut off. In this case, the video playback view is continuous, but due to insufficient retransmission frame rate, the video index timestamp is disconnected).

[0064] It should be noted that the second preset time period has no correlation with the first preset time period, and both are set according to actual conditions.

[0065] Step S24: determining whether there is a breakpoint between the adjacent video time stamps based on the time difference.

[0066] Step S25: If there is a breakpoint, traverse the adjacent video timestamps where the breakpoint exists to determine the video loss time period within the target time range.

[0067] It can be seen that the present application queries the video recording device for several video recording timestamps with a clear sequence within the target time range; determines the time difference between adjacent video recording timestamps; determines whether the time difference between adjacent video recording timestamps is within the preset error range; if the time difference is within the preset error range, merges the adjacent video recording timestamps to obtain several new video recording timestamps; determines whether there is a breakpoint between the adjacent video recording timestamps based on the time difference; if there is a breakpoint, traverses the adjacent video recording timestamps with the breakpoint to determine the video recording loss time period within the target time range. It can be seen that the present application does not determine the video recording loss based on the observation of the video recording, but determines the observation target as the timestamp, determines whether there is a breakpoint between the adjacent timestamps, and then traverses the adjacent video recording timestamps with the breakpoint to determine the video recording loss time period within the target time range, so that the judgment of video recording loss is more detailed, and subtle video recording loss will not be ignored, thereby improving the accuracy of detecting video recording loss; the present application determines whether it is within the error range, reduces the recording of invalid breakpoints, and improves accuracy.

[0068] Correspondingly, the embodiment of the present application also discloses a device for determining a video loss time period, see Figure 3 As shown, the device comprises:

[0069] A query module 11, used to query a number of video time stamps of a video recording device in a clear order within a target time range;

[0070] A time difference determination module 12, used to determine the time difference between adjacent video time stamps;

[0071] A breakpoint determination module 13, configured to determine whether there is a breakpoint between the adjacent video time stamps based on the time difference;

[0072] The traversal module 14 is used to traverse the adjacent video time stamps of the breakpoint if there is a breakpoint, so as to determine the video loss time period within the target time range.

[0073] It can be seen that the present application queries several video timestamps of a clear order within the target time range of the video recording device; determines the time difference between adjacent video timestamps; based on the time difference, determines whether there is a breakpoint between the adjacent video timestamps; if there is a breakpoint, traverses the adjacent video timestamps with the breakpoint to determine the video loss time period within the target time range. It can be seen that the present application does not determine the video loss based on the observation of the video, but determines the observation target as the timestamp, determines whether there is a breakpoint between adjacent timestamps, and then traverses the adjacent video timestamps with the breakpoint to determine the video loss time period within the target time range, so that the judgment of video loss is more detailed, does not ignore subtle video loss, and improves the accuracy of detecting video loss.

[0074] In one embodiment, the breakpoint determination module 13 is specifically configured to determine whether the time difference is greater than a first preset time period; if it is greater than the first preset time period, it is determined that there is a breakpoint between the adjacent video time stamps.

[0075] In one embodiment, the traversal module 14 is specifically used to traverse the adjacent video timestamps where breakpoints exist, and record the breakpoint start timestamp and breakpoint end timestamp of each breakpoint; the breakpoint start timestamp of the breakpoint is the end timestamp of the previous video timestamp of the breakpoint; the breakpoint end timestamp of the breakpoint is the start timestamp of the current video timestamp of the breakpoint; the breakpoint start timestamp and the breakpoint end timestamp are converted into specific time to determine the video loss time period within the target time range.

[0076] In one embodiment, it also includes:

[0077] The merging module is used to determine whether the time difference between adjacent video time stamps is within a preset error range; if the time difference is within the preset error range, the adjacent video time stamps are merged to obtain a plurality of new video time stamps.

[0078] In one embodiment, the preset error ranges corresponding to different video recording devices are the same or different.

[0079] In one embodiment, the merging module is specifically used to determine whether the time difference between adjacent video timestamps is greater than a second preset time period; if it is not greater than the second preset time period, the time difference between the adjacent video timestamps is within a preset error range.

[0080] In one embodiment, the merging module is specifically configured to set the end time of a previous video timestamp in the adjacent video timestamps as the start time of the next video timestamp.

[0081] Furthermore, an embodiment of the present application also provides an electronic device. Figure 4 This is a structural diagram of an electronic device 20 according to an exemplary embodiment. The content in the diagram cannot be regarded as any limitation on the scope of use of the present application.

[0082] Figure 4The present invention provides a schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may include: at least one processor 21, at least one memory 22, a display screen 23, an input / output interface 24, a communication interface 25, a power supply 26, and a communication bus 27. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the method for determining the video loss time period disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may be a computer.

[0083] In this embodiment, the power supply 26 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 25 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 24 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0084] In addition, the memory 22, as a carrier for storing resources, may be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon may include a computer program 221, and the storage method may be temporary storage or permanent storage. In addition to including a computer program that can be used to complete the method for determining the video loss time period executed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 221 may further include a computer program that can be used to complete other specific tasks.

[0085] Furthermore, an embodiment of the present application also discloses a computer-readable storage medium for storing a computer program; wherein, when the computer program is executed by a processor, the aforementioned method for determining a video loss time period disclosed above is implemented.

[0086] The specific steps of the method can refer to the corresponding contents disclosed in the above embodiments, which will not be repeated here.

[0087] The various embodiments in this application are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part description.

[0088] Professionals may further appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition and steps of each example have been generally described in the above description according to function. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professionals and technicians may use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0089] The steps of the method or algorithm described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0090] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0091] The above is a detailed introduction to a method, device, equipment, and storage medium for determining a video loss time period provided by the present application. This article uses specific examples to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for a general technician in this field, according to the idea of ​​the present application, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A method for determining a video loss time period, characterized in that: include: Query the recording timestamps of the recording devices in a clear order within the target time range; Determine the time difference between adjacent video timestamps; Determining whether there is a breakpoint between the adjacent video time stamps based on the time difference; If there is a breakpoint, the adjacent video timestamps where the breakpoint exists are traversed to determine the video loss time period within the target time range.

2. The method for determining the video loss time period according to claim 1, characterized in that: The determining whether there is a breakpoint between the adjacent video time stamps based on the time difference includes: Determining whether the time difference is greater than a first preset time period; If it is greater than the first preset time period, it is determined that there is a breakpoint between the adjacent video time stamps.

3. The method for determining the video loss time period according to claim 1, characterized in that: The traversing the adjacent video time stamps with breakpoints to determine the video loss time period within the target time range includes: Traverse the adjacent video timestamps where the breakpoint exists, and record the breakpoint start timestamp and breakpoint end timestamp of each breakpoint; the breakpoint start timestamp of the breakpoint is the end timestamp of the previous video timestamp of the breakpoint; the breakpoint end timestamp of the breakpoint is the start timestamp of the current video timestamp of the breakpoint; The breakpoint start timestamp and the breakpoint end timestamp are converted into specific time to determine the video recording loss time period within the target time range.

4. The method for determining the video loss time period according to any one of claims 1 to 3, characterized in that: Before judging whether there is a breakpoint between the adjacent video time stamps based on the time difference, the method further includes: Determine whether the time difference between adjacent video timestamps is within a preset error range; If the time difference is within the preset error range, the adjacent video time stamps are merged to obtain a plurality of new video time stamps.

5. The method for determining the video loss time period according to claim 4, characterized in that: The preset error ranges corresponding to different recording devices are the same or different.

6. The video inspection method according to claim 4, characterized in that: The determining whether the time difference between adjacent video time stamps is within a preset error range includes: Determine whether the time difference between adjacent video time stamps is greater than a second preset time period; If it is not greater than the second preset time period, the time difference between the adjacent video time stamps is within a preset error range.

7. The method for determining the video loss time period according to claim 4, characterized in that: The merging of the adjacent video time stamps includes: The end time of the previous video timestamp in the adjacent video timestamps is set as the start time of the next video timestamp.

8. A device for determining a video loss time period, characterized in that: include: A query module, used to query a number of video time stamps of a video recording device in a clear order within a target time range; A time difference determination module, used to determine the time difference between adjacent video time stamps; A breakpoint determination module, used for determining whether there is a breakpoint between the adjacent video time stamps based on the time difference; The traversal module is used to traverse the adjacent video time stamps where the breakpoint exists, so as to determine the video loss time period within the target time range.

9. An electronic device, characterized in that: include: Memory, used to store computer programs; A processor is used to execute the computer program to implement the method for determining the video loss time period according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: Used to store a computer program; wherein, when the computer program is executed by a processor, the method for determining a video loss time period as described in any one of claims 1 to 7 is implemented.

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