CN110166789B - Method for monitoring video live broadcast sensitive information, computer equipment and readable storage medium - Google Patents
Method for monitoring video live broadcast sensitive information, computer equipment and readable storage medium Download PDFInfo
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- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/26—Speech to text systems
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- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
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Abstract
The invention discloses a method for monitoring video live broadcast sensitive information, computer equipment and a readable storage medium, and belongs to the technical field of internet. According to the invention, the video live broadcast area is divided into a plurality of monitoring sub-areas, and whether abnormal information exists in each monitoring sub-area is respectively identified, so that the purpose of accurately positioning the abnormal information in real time is achieved, the efficiency of auditing and monitoring is provided, and the network live broadcast environment is conveniently and effectively managed.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a method for monitoring video live broadcast sensitive information, computer equipment and a readable storage medium.
Background
With the progress of network communication technology and the increasing speed of broadband networks, live webcasts are increasingly developed and applied. The field related to the network live broadcast is also wider and wider, and comprises various aspects of games, entertainment, sports and the like. The broadcaster can see all operations of the entire screen of the broadcaster while the broadcaster is playing on the fly.
Because of the large uncertainty in the video live broadcast process, lawless persons can easily spread sensitive information (such as sensitive political tendency, violence tendency, unhealthy colors or uncivilized words) by utilizing a live broadcast platform, and the method has great harmfulness to the platform and the society.
However, the current method for auditing live video broadcast is mainly manual watching and auditing, and has the problems of high labor cost, low auditing efficiency and poor auditing timeliness.
Disclosure of Invention
Aiming at the problems of low efficiency and poor timeliness of the existing live video auditing, the method, the computer equipment and the readable storage medium for monitoring the live video sensitive information aim to improve the auditing efficiency and real-time performance by adopting a regional monitoring mode.
The invention provides a method for monitoring video live broadcast sensitive information, which comprises the following steps:
dividing at least two monitoring sub-areas based on a video live broadcast area;
and judging whether the at least two monitoring sub-areas have abnormal information or not, and generating abnormal information when the at least one monitoring sub-area has the abnormal information.
Preferably, the step of dividing at least two monitoring sub-areas based on the video live broadcast area includes:
providing a historical database for storing abnormal user information;
acquiring user information of a monitored video live broadcast area;
and judging whether the user information is matched with the abnormal user information in the historical database or not, and dividing at least two monitoring sub-areas according to a matching result.
Preferably, when the user information is matched with the abnormal user information in the historical database, at least two monitoring sub-regions are generated based on historical abnormal position information in the abnormal user information.
Preferably, when the user information does not match with abnormal user information in the historical database, at least two monitoring sub-areas are generated based on the video live broadcast area.
Preferably, the abnormality information is selected from at least one of:
sensitive words, sensitive coding marks and sensitive images.
Preferably, the step of determining whether there is abnormal information in the at least two monitoring sub-areas includes:
and respectively detecting the content in each monitoring subarea by adopting an abnormal detection model, and judging whether abnormal information exists.
Preferably, the abnormality detection model is selected from at least one of: text detection model, code identification detection model and image detection model.
Preferably, the method further comprises the following steps:
and the at least two monitoring sub-areas move in the video live broadcast area at a preset period and a preset offset distance.
Preferably, the method further comprises the following steps:
and detecting whether the audio information of the current live video has abnormal information, and if so, generating abnormal information.
Preferably, the step of detecting whether the audio information of the current live video has abnormal information includes:
identifying and converting the audio information of the current live video into text information;
and detecting the text information by adopting a text detection model.
Preferably, the generating of the exception message further comprises:
and adjusting the positions and the sizes of the monitoring areas of the at least two monitoring sub-areas according to the position information of the abnormal information.
A method for monitoring video live broadcast sensitive information comprises the following steps:
dividing at least two monitoring sub-areas based on a video live broadcast area;
respectively sending the information of the at least two monitoring sub-areas to different clients;
and the client judges whether abnormal information exists in each monitoring subarea, and generates abnormal information when abnormal information exists in at least one monitoring subarea.
The invention also provides a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method when executing the computer program.
The present invention also provides a computer-readable storage medium having stored thereon a computer program characterized in that: which when executed by a processor implements the steps of the above-described method.
The beneficial effects of the above technical scheme are that:
in the technical scheme, the video live broadcast area is divided into the plurality of monitoring sub-areas, whether abnormal information exists in each monitoring sub-area is identified respectively, so that the purpose of accurately positioning the abnormal information in real time is achieved, the efficiency of auditing and monitoring is provided, and the network live broadcast environment is conveniently and effectively managed.
Drawings
FIG. 1 is a block diagram of an embodiment of a block diagram of a system for monitoring live video sensitive information according to the present invention;
FIG. 2 is a flowchart of an embodiment of a method for monitoring live video sensitive information according to the present invention;
fig. 3 is a flowchart of an embodiment of dividing at least two monitoring sub-areas based on a video live broadcast area according to the present invention;
FIG. 4 is a diagram illustrating an embodiment of a video live zone being uniformly divided into a plurality of monitoring sub-zones;
FIG. 5 is a flow chart of another embodiment of a method for monitoring live video sensitive information according to the present invention;
6 a-6 b are schematic diagrams illustrating an embodiment of adjusting the monitoring position of a plurality of sub-monitoring areas by shifting in a wheel-seeking mode;
FIG. 7 is a diagram of one embodiment of a surveillance sub-area generated from a target object in a live video area;
FIG. 8 is a schematic view of one embodiment of randomly generated monitor sub-regions;
FIG. 9 is a flow chart of another embodiment of a method of monitoring live video sensitive information according to the present invention;
FIG. 10 is a block diagram of an embodiment of a system for monitoring live video sensitive information according to the present invention;
FIG. 11 is a block diagram of another embodiment of a system for monitoring live video sensitive information according to the present invention;
fig. 12 is a schematic hardware structural diagram of a computer device that executes a method for monitoring live video sensitive information according to an embodiment of the present invention.
Detailed Description
The advantages of the invention are further illustrated in the following description of specific embodiments in conjunction with the accompanying drawings.
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
The terminology used in the present disclosure is for the purpose of describing particular embodiments only and is not intended to be limiting of the disclosure. As used in this disclosure and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
In the description of the present invention, it should be understood that the numerical references before the steps do not identify the order of performing the steps, but merely serve to facilitate the description of the present invention and to distinguish each step, and thus should not be construed as limiting the present invention.
The video of the embodiment of the application may be presented on clients such as large-scale video playing devices, game machines, desktop computers, smart phones, tablet computers, MP3(movingpicture expeerpercgroupandioudiolayer iii) players, MP4(movingpicture expeerpercgroupandioudiolayer rlv) players, laptop portable computers, e-book readers, and other display terminals.
The video in the embodiment of the application can be applied to not only the video playing program of the match type, but also any application scene capable of presenting the video, for example, the video can be applied to some job-seeking programs, some relatives, entertainment programs of multi-party confrontation, and the like. The embodiment of the present application takes the application of video to game-like live video playing programs as an example, but is not limited to this.
In the embodiment of the application, a user at a live broadcast end (i.e., a stream push end) can send live broadcast information to each watching end (i.e., a stream pull end) through the server after processing the live broadcast information, and each watching end plays the live broadcast information again. Referring to fig. 1, fig. 1 is a system architecture diagram for monitoring live video sensitive information according to an embodiment of the present disclosure. As shown in fig. 1, a user a transmits live broadcast information to a server W through a wireless network, users B and C watch live broadcast video of the user a through the wireless network, and users D and E watch live broadcast video of the user a through a wired network and transmit respective barrage information to the server W. Only one server W is shown here, and the application scenario here may also include multiple servers in communication with each other. The server W may be a cloud server or a local server. In the embodiment of the present application, the server W is placed on the cloud side. If the user A sends the live broadcast information, the server W processes the live broadcast information and forwards the live broadcast information to the user A, the user B, the user C, the user D and the user E. It should be noted that: the device of the user a is not limited to the illustrated mobile device, and all intelligent terminals capable of performing push streaming/live broadcasting are applicable.
The invention provides a method for monitoring live video sensitive information, which aims to overcome the defects that the efficiency is low and the timeliness is poor when the existing live video audit is manual audit. Referring to fig. 2, which is a schematic flow chart of a method for monitoring live video sensitive information according to a preferred embodiment of the present invention, it can be seen from the diagram that the method for monitoring live video sensitive information provided in this embodiment mainly includes the following steps:
s1, dividing at least two monitoring sub-areas based on a video live broadcast area;
in this step, compare in the whole region of living broadcast of video and monitor, monitor respectively through dividing the living broadcast region of video into a plurality of monitoring subregions, reduced the pressure of monitoring processing, provide the response speed who has improved the monitoring simultaneously.
As shown in fig. 3, the step of dividing S1 into at least two monitoring sub-areas based on the video live area includes:
s11, providing a historical database for storing abnormal user information;
it should be noted that: the abnormal user information is a user account which is used for transmitting sensitive information during live video broadcast, and comprises account information of an abnormal user, position information of corresponding sensitive information (abnormal information) on a playing interface, sensitive types and other contents.
S12, acquiring user information of a monitored video live broadcast area;
the user information may be an account name or an account address of the user.
And S13, judging whether the user information is matched with the abnormal user information in the historical database, and dividing at least two monitoring sub-areas according to a matching result.
In the step, the user information is preliminarily screened through the historical database, and whether the current user belongs to an abnormal user or not is identified, so that the video live broadcast area of the user can be monitored in a targeted manner, and the monitoring efficiency is improved.
Step S13 may include:
s131, when the user information is matched with the abnormal user information in the historical database, generating at least two monitoring sub-regions based on historical abnormal position information in the abnormal user information.
In this step, when the user information is abnormal user information in the history database, the past historical abnormal position information (i.e. position information on the playing interface) included in the abnormal user information is used as a main monitoring area, a monitoring range is appropriately expanded (for example, a size range is expanded by one time or a size range is expanded by two times) by taking the area as a center, a plurality of monitoring sub-areas are generated, and live video of the user is monitored in the monitoring range.
S132, when the user information is not matched with the abnormal user information in the historical database, generating at least two monitoring sub-areas based on the video live broadcast area.
In this step, when the user information is not in the historical database, the entire area of the video live broadcast area of the user may be divided into a plurality of monitoring sub-areas, so as to monitor the complete video interface of the user.
By way of example and not limitation, when the user information is not in the historical database, the abnormal information is usually located at an edge position of the video interface (e.g., upper part, lower part, upper left part, lower left part, upper right part, lower right part, etc.) in consideration of the ornamental value of the video live broadcast, so that an upper area (e.g., a third area longitudinally divided at the upper part of the video interface) and/or a lower area (e.g., a third area longitudinally divided at the lower part of the video interface) and/or a left area (e.g., upper left part, lower left part) and/or a right area (e.g., upper right part, lower right part) of the video live broadcast area of the user can be further divided into a plurality of monitoring sub-areas to facilitate monitoring of the video interface of the user. Referring to fig. 4, the video live broadcast area can be uniformly divided into 8 monitoring sub-areas a, so as to monitor the whole video live broadcast area.
And S2, judging whether the at least two monitoring sub-areas have abnormal information or not, and generating abnormal information when the at least one monitoring sub-area has the abnormal information.
Wherein the abnormality information may be selected from at least one of:
sensitive words, sensitive coding marks and sensitive images.
In this embodiment, the sensitive words refer to words with violence tendency and unhealthy colors or non-civilized language, or some websites may set some special sensitive words only suitable for the website according to their own actual situations. The sensitive coded identification can be a two-dimensional code of stored information related to words with violence tendency and unhealthy colors or content of non-civilized language or content related to payment transaction; sensitive images refer to content in a picture that involves words with violence tendencies, unhealthy colors, or non-civilized language.
It should be noted that, before generating the exception message in step S2, the method may further include:
and adjusting the positions and the sizes of the monitoring areas of the at least two monitoring sub-areas according to the position information of the abnormal information.
When abnormal information exists in a video live broadcast area, the position and the size of the monitoring subarea can be adjusted according to the position coordinates of the abnormal information, so that the monitoring subarea can perform accurate positioning monitoring aiming at the abnormal information, such as: when the range of the abnormal information is small, the size and the monitoring position of the monitoring subarea can be adjusted according to the area adaptability of the abnormal information, so that one monitoring subarea can monitor the complete abnormal information area, and the coverage range of the monitoring subarea is ensured to be slightly larger than the coordinate range of the abnormal information. When the range of the abnormal information is large, the size and the monitoring position of the monitoring subarea can be adjusted according to the area adaptability of the abnormal information, so that a plurality of monitoring subareas are combined together to monitor the complete abnormal information area, and the range covered by the combined monitoring subareas is slightly larger than the coordinate range of the abnormal information, thereby ensuring the complete monitoring of the abnormal information.
The step S2 of determining whether there is abnormal information in the at least two monitoring sub-areas includes:
and respectively detecting the content in each monitoring subarea by adopting an abnormal detection model, and judging whether abnormal information exists.
Wherein the anomaly detection model may be selected from at least one of: text detection model, code identification detection model and image detection model.
By way of example and not limitation, the text detection model may employ models such as Optical Character Recognition (OCR), natural scene text detection (CTPN) model, and Deep Convolutional Neural Network (DCNN) model; the code identification detection model can be a two-dimensional code detection model, and the two-dimensional code detection model adopts an open source computer vision library (opencv) to detect and identify the two-dimensional code; the image detection model may employ a deep learning based object detection model.
In this embodiment, through dividing the live broadcast area of video into a plurality of monitoring subregions, whether there is abnormal information in each monitoring subregion of discernment respectively to reach the purpose of real-time accurate positioning abnormal information, provide the efficiency of examining and monitoring, and be convenient for effectually manage the live broadcast environment of network.
In practical application, when detecting the monitoring sub-region, the text detection model, the two-dimensional code detection model and the image detection model can be respectively adopted to detect the monitoring sub-region, the type of abnormal information (such as text, two-dimensional code or image and the like) is obtained, and then the corresponding detection model is adopted to detect other monitoring sub-regions according to the type of the abnormal information.
As shown in fig. 5, the method for monitoring the live video sensitive information further includes:
and S3, the at least two monitoring sub-areas move in the video live broadcast area according to a preset period and a preset offset distance.
In this step, when monitoring the live video area, partial area monitoring is adopted instead of full screen monitoring, and in order to ensure the integrity and effectiveness of monitoring, a round-seeking mode can be adopted, and the monitoring sub-area is moved at regular time periods (the moving offset can be adjusted according to the monitoring requirement), so that the whole live video area is periodically monitored. As shown in fig. 6 a-6 b, the position of the monitoring sub-area a can be adjusted by shifting in a fixed time period in a periodic training manner, so as to achieve the purpose of monitoring the whole video live broadcast area.
In practical application, referring to fig. 7, a monitoring sub-area a corresponding to the position of a target object (such as a character, an airplane, etc.) in a live video area may be generated based on the position and size of the target object, so as to perform an emphasis monitoring on the live video area. Referring to fig. 8, monitoring sub-areas a with different sizes are also randomly generated to monitor the video live broadcast area.
As shown in fig. 9, the method for monitoring the live video sensitive information further includes:
and S4, detecting whether the audio information of the current live video has abnormal information or not, and if so, generating abnormal information.
Because the live video not only spreads the video content but also comprises the audio content, the live video audio information can be monitored in real time while the video content is monitored, and therefore the live network environment can be effectively managed.
The step S4 of detecting whether there is abnormal information in the audio information of the current live video includes:
s41, identifying and converting the audio information of the current video live broadcast into text information;
and S42, detecting the text information by adopting a text detection model.
In the process of monitoring the audio information, semantic conversion can be performed on the audio information, the audio information is converted into text information, and then the text information is further monitored by adopting a text detection model.
As shown in fig. 10, a system for monitoring live video sensitive information includes:
the dividing unit 11 is configured to divide at least two monitoring sub-areas based on a video live broadcast area;
specifically, a historical database for storing abnormal user information is provided; the dividing unit 11 includes:
the acquiring module 111 is used for acquiring user information of a monitored video live broadcast area;
and the matching module 112 is configured to determine whether the user information is matched with the abnormal user information in the historical database, and monitor at least two sub-areas according to a matching result.
And when the user information is matched with the abnormal user information in the historical database, generating at least two monitoring sub-regions based on the position information corresponding to the abnormal information in the abnormal user information.
And when the user information is not matched with the abnormal user information in the historical database, generating at least two monitoring sub-areas based on the video live broadcast area.
And the monitoring unit 12 is configured to determine whether there is abnormal information in the at least two monitoring sub-areas, and generate an abnormal message when there is abnormal information in at least one monitoring sub-area.
Wherein the abnormality information may be selected from at least one of:
sensitive words, sensitive coding marks and sensitive images.
The monitoring unit 12 is configured to detect the content in each of the monitoring sub-regions by using an anomaly detection model, and determine whether there is anomaly information.
Further, the anomaly detection model may include a text detection model, and/or a two-dimensional code detection model, and/or an image detection model.
In this embodiment, through dividing the live broadcast area of video into a plurality of monitoring subregions, whether there is abnormal information in each monitoring subregion of discernment respectively to reach the purpose of real-time accurate positioning abnormal information, provide the efficiency of examining and monitoring, and be convenient for effectually manage the live broadcast environment of network.
As shown in fig. 11, the system for monitoring the live video sensitive information may further include:
and an adjusting unit 13, configured to adjust the at least two monitoring sub-areas to move in the video live broadcast area at a preset period and a preset offset distance.
When the live video area is monitored, partial area monitoring is adopted instead of full-screen monitoring, in order to ensure the integrity and effectiveness of monitoring, a round-seeking mode can be adopted, the monitoring sub-area is moved in a regular time period (the moving offset can be adjusted according to the monitoring requirement), and the whole live video area is periodically monitored.
In a preferred embodiment, the system for monitoring the live video sensitive information may further include:
and the audio monitoring unit 14 is used for detecting whether the audio information of the current live video has abnormal information or not, and if so, generating abnormal information.
Specifically, the audio monitoring unit 14 identifies and converts audio information of the current live video into text information, and detects the text information by using a text detection model.
Because the live video not only spreads the video content but also comprises the audio content, the live video audio information can be monitored in real time while the video content is monitored, and therefore the live network environment can be effectively managed.
A method for monitoring video live broadcast sensitive information comprises the following steps:
A1. dividing at least two monitoring sub-areas based on a video live broadcast area;
A2. respectively sending the information of the at least two monitoring sub-areas to different clients;
A3. and the client judges whether abnormal information exists in each monitoring subarea, and generates abnormal information when abnormal information exists in at least one monitoring subarea.
In this embodiment, the client is the monitoring client for monitor the subregion, detects through sending each monitoring area respectively for the monitoring client of difference, can alleviate the running load, promotes detection efficiency, reaches the purpose of real-time accurate location abnormal information, provides the efficiency of examining and verifying the monitoring, and is convenient for effectually manage the live environment of network.
As shown in fig. 12, a computer apparatus 2, the computer apparatus 2 comprising:
a memory 21 for storing executable program code; and
a processor 22 for calling the executable program code in the memory 21, the executing steps including the above method for monitoring the live video sensitive information.
Fig. 12 illustrates an example of one processor 22.
The memory 21 is a non-volatile computer-readable storage medium, and can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules, such as program instructions/modules (for example, the dividing unit 11 and the monitoring unit 12 shown in fig. 10) corresponding to the method for monitoring live video sensitive information in the embodiment of the present application. The processor 22 executes various functional applications and data processing of the computer device 2 by running the nonvolatile software programs, instructions and modules stored in the memory 21, namely, the method for monitoring the live video sensitive information of the above method embodiment is realized.
The memory 21 may include a program storage area and a data storage area, wherein the program storage area may store an application program required for at least one function of the operating system; the storage data area may store playback information of the user on the computer device 2. Further, the memory 21 may include high speed random access memory, and may also include non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device. In some embodiments, the memory 21 optionally includes memory 21 located remotely from the processor 22, and these remote memories 21 may be connected to the system 1 for monitoring live video sensitive information over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The one or more modules are stored in the memory 21, and when executed by the one or more processors 22, perform the method for monitoring live video sensitive information in any of the above-described method embodiments, for example, perform the above-described method steps S1 to S2 in fig. 2, method steps S1 to S3 in fig. 5, and method steps S1 to S4 in fig. 9, and implement the functions of the partitioning unit 11 and the monitoring unit 12 shown in fig. 10.
The product can execute the method provided by the embodiment of the application, and has the corresponding functional modules and beneficial effects of the execution method. For technical details that are not described in detail in this embodiment, reference may be made to the methods provided in the embodiments of the present application.
The computer device 2 of the embodiment of the present application exists in various forms, including but not limited to:
(1) a mobile communication device: such devices are characterized by mobile communications capabilities and are primarily targeted at providing voice, data communications. Such terminals include: smart phones (e.g., iphones), multimedia phones, functional phones, and low-end phones, among others.
(2) Ultra mobile personal computer device: the equipment belongs to the category of personal computers, has calculation and processing functions and generally has the characteristic of mobile internet access. Such terminals include: PDA, MID, and UMPC devices, etc., such as ipads.
(3) A portable entertainment device: such devices can display and play multimedia content. This type of device comprises: audio, video players (e.g., ipods), handheld game consoles, electronic books, and smart toys and portable car navigation devices.
(4) A server: the device for providing the computing service comprises a processor, a hard disk, a memory, a system bus and the like, and the server is similar to a general computer architecture, but has higher requirements on processing capacity, stability, reliability, safety, expandability, manageability and the like because of the need of providing high-reliability service.
(5) And other electronic devices with data interaction functions.
The present application provides a non-transitory computer-readable storage medium, which stores computer-executable instructions, which are executed by one or more processors, such as one processor 22 in fig. 12, so that the one or more processors 22 may execute the method for monitoring live video sensitive information in any of the method embodiments, for example, execute the method steps S1 to S2 in fig. 2, the method steps S1 to S3 in fig. 5, and the method steps S1 to S4 in fig. 9, which are described above, and implement the functions of the partitioning unit 11 and the monitoring unit 12 shown in fig. 10.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on at least two network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the embodiments of the present application. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a general hardware platform, and certainly can also be implemented by hardware. It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware related to instructions of a computer program, which can be stored in a computer readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-only memory (ROM), a Random Access Memory (RAM), or the like.
The first embodiment,
The method for monitoring the video live broadcast sensitive information can be applied to a main broadcast end, whether a current main broadcast user is in a historical database or not is firstly identified, if the main broadcast user is not in the historical database, the main broadcast end can divide the whole area of a video live broadcast area of the main broadcast user into a plurality of monitoring sub-areas, whether abnormal information exists in each monitoring sub-area or not is respectively judged, when the monitoring sub-areas detect the abnormal information, abnormal information is generated, and the abnormal information is reported to a background; if the information of the anchor user is in the historical database, the position information of past abnormal information in the playing interface, which is included in the abnormal user information of the anchor user, can be used as a main monitoring area, the monitoring range is properly expanded (for example, the size range is expanded by one time or the size range is expanded by two times) by taking the area as a center, a plurality of monitoring sub-areas are generated, the live video broadcast of the user is monitored in the monitoring range, and when the abnormal information is detected by the monitoring sub-areas, an abnormal message is generated and reported to a background. The video live broadcast area is monitored by the anchor terminal at low cost, the pressure of the server is reduced, and the response speed is high.
Example II,
The method for monitoring the live video sensitive information can be applied to a stream pulling end for watching live video, the stream pulling end can divide a live video area watched by a current user into a plurality of monitoring sub-areas, whether abnormal information exists in each monitoring sub-area is judged respectively, when the monitoring sub-areas detect the abnormal information, abnormal information is generated, the abnormal information is reported to a background, the stream pulling end is adopted to monitor the live video area, the cost is low, the pressure of a server is reduced, and the response speed is high.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
Claims (11)
1. A method for monitoring video live broadcast sensitive information is characterized by comprising the following steps:
providing a historical database for storing abnormal user information;
acquiring user information of a monitored video live broadcast area;
matching in the historical database according to the user information to obtain a matching result;
dividing a video live broadcast area into at least two monitoring sub-areas according to the matching result;
the at least two monitoring sub-areas move in the video live broadcast area according to a preset period and a preset offset distance;
respectively sending the information of the at least two monitoring sub-areas to different clients;
and the client respectively judges whether abnormal information exists in the monitoring subareas, and generates abnormal information when abnormal information exists in at least one monitoring subarea.
2. The method for monitoring the live video sensitive information according to claim 1, wherein the step of dividing the live video area into at least two monitoring sub-areas according to the matching result comprises the following steps:
when the user information is matched with abnormal user information in the historical database, acquiring historical abnormal position information based on the user information;
and dividing at least two monitoring sub-regions by taking the historical abnormal position information as a reference position.
3. The method for monitoring the live video sensitive information according to claim 1, wherein the step of dividing the live video area into at least two monitoring sub-areas according to the matching result comprises the following steps:
when the user information is not matched with the abnormal user information in the historical database, the video live broadcast area is divided into at least two monitoring sub-areas based on a preset interval and/or a preset position.
4. The method for monitoring the live video sensitive information as claimed in claim 1, wherein the abnormal information is selected from at least one of the following:
sensitive words, sensitive coding marks and sensitive images.
5. The method for monitoring the live video sensitive information as claimed in claim 1 or 4, wherein the step of judging whether abnormal information exists in the at least two monitoring subareas comprises the following steps:
and respectively detecting the content in each monitoring subarea by adopting an abnormal detection model, and judging whether abnormal information exists.
6. The method for monitoring the live video sensitive information as claimed in claim 5, wherein the anomaly detection model is selected from at least one of the following: text detection model, code identification detection model and image detection model.
7. The method for monitoring the live video sensitive information as claimed in claim 1, further comprising:
and detecting whether the audio information of the current live video has abnormal information, and if so, generating abnormal information.
8. The method for monitoring the live video sensitive information as claimed in claim 7, wherein the step of detecting whether the audio information of the current live video has abnormal information includes:
identifying and converting the audio information of the current live video into text information;
and detecting the text information by adopting a text detection model.
9. The method for monitoring the live video sensitive information as claimed in claim 1, wherein before generating the exception message, the method further comprises:
and adjusting the positions and the sizes of the monitoring areas of the at least two monitoring sub-areas according to the position information of the abnormal information.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method of any one of claims 1 to 9 when executing the computer program.
11. A computer-readable storage medium having stored thereon a computer program, characterized in that: the computer program when executed by a processor implements the steps of the method of any one of claims 1 to 9.
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| CN111158576A (en) * | 2019-12-31 | 2020-05-15 | 广州酷狗计算机科技有限公司 | Social relationship establishing method and device based on live broadcast scene and storage medium |
| CN113836966A (en) * | 2020-06-08 | 2021-12-24 | 中国移动通信有限公司研究院 | Video detection method, device, equipment and storage medium |
| CN111835739A (en) * | 2020-06-30 | 2020-10-27 | 北京小米松果电子有限公司 | Video playing method and device and computer readable storage medium |
| CN112399194B (en) * | 2021-01-20 | 2021-05-18 | 腾讯科技（深圳）有限公司 | Live data processing method and device, computer and readable storage medium |
| CN115834939B (en) * | 2023-02-21 | 2023-05-12 | 北京匠数科技有限公司 | Electronic screen information monitoring equipment and method and electronic screen content security pre-examination system |
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