CN111314721A - Method, device, equipment and medium for determining abnormal live broadcast - Google Patents
Method, device, equipment and medium for determining abnormal live broadcast Download PDFInfo
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- CN111314721A CN111314721A CN202010086892.7A CN202010086892A CN111314721A CN 111314721 A CN111314721 A CN 111314721A CN 202010086892 A CN202010086892 A CN 202010086892A CN 111314721 A CN111314721 A CN 111314721A
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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]
- H04N21/20—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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25875—Management of end-user data involving end-user authentication
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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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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Abstract
The disclosure relates to a method, a device, equipment and a medium for determining abnormal live broadcast, which are used for improving the efficiency of determining live broadcast content as abnormal live broadcast and reducing the manual auditing cost. The method for determining abnormal live broadcast comprises the following steps: acquiring currently live screen capture data of a target account; calculating similarity between current live screen capture data of the target account and a plurality of historical screen capture data, wherein the historical screen capture data are screen capture data which are played live; and when the similarity between the current live broadcast screenshot data of the target account and the preset number of historical screenshot data is determined to be larger than a preset similarity threshold value, determining that the current live broadcast of the target account is abnormal live broadcast.
Description
Technical Field
The present disclosure relates to the field of information technologies, and in particular, to a method, an apparatus, a device, and a medium for determining abnormal live broadcast.
Background
A large number of merchants or individuals conduct commodity sales activities on a live broadcast social platform, the commodity sales activities generally conduct live broadcast content publishing in a form of circularly playing advertisements, and the watching experience of platform users is seriously influenced by the live broadcast.
Illegal accounts issue a large amount of illegal live broadcast contents (such as unauthorized commodities and unauthorized game contents) through a platform, at present, the platform usually determines whether the live broadcast contents are illegal through a manual auditing mode, and takes measures such as number sealing and the like to the accounts when determining that the live broadcast contents of a certain account are illegal or do not accord with platform regulations so as to avoid the influence of the live broadcast contents on the watching experience of other users.
Currently, live broadcast content is only reviewed in a manual review mode, the viewing experience effect of a user is limited, and the method is high in cost and low in efficiency.
Disclosure of Invention
The disclosure provides a method, a device, equipment and a medium for determining abnormal live broadcast, which are used for improving the efficiency of determining live broadcast content as abnormal live broadcast and reducing the manual auditing cost.
The technical scheme of the disclosure is as follows:
according to a first aspect of the embodiments of the present disclosure, a method for determining abnormal live broadcast is provided, including:
acquiring currently live screen capture data of a target account;
calculating the similarity between the current live screen capture data of the target account and a plurality of historical screen capture data, wherein the historical screen capture data are the live screen capture data which are played;
and when the similarity between the current live broadcast screenshot data of the target account and the preset number of historical screenshot data is larger than a preset similarity threshold value, determining that the current live broadcast of the target account is abnormal live broadcast.
In a possible implementation manner, in the method for determining abnormal live broadcast provided by the present disclosure, the historical screen capture data includes one or more of the following:
the method comprises the steps of screen capture data of historical abnormal live broadcast, screen capture data of any current live broadcast historical moment of a target account, and screen capture data of any current live broadcast historical moment of other accounts.
In a possible implementation manner, in the method for determining an abnormal live broadcast provided by the present disclosure, determining that a current live broadcast of a target account is an abnormal live broadcast includes:
sending verification request information to a target account;
upon determining that the target account does not properly respond to the verification request information: and determining that the current live broadcast of the target account is abnormal live broadcast, or repeatedly sending verification request information to the target account, and determining that the current live broadcast of the target account is abnormal live broadcast when the times that the target account incorrectly responds to the verification request information is larger than a preset time threshold value.
In a possible implementation manner, in the method for determining abnormal live broadcast provided by the present disclosure, the verification request message is a verification request message that requests the target account to move the preset graphical control to a specified position.
In a possible implementation manner, in the method for determining an abnormal live broadcast provided by the present disclosure, after determining that a current live broadcast of a target account is an abnormal live broadcast, the method further includes:
and reducing the recommendation weight value for recommending the current live broadcast of the target account to other accounts.
In a possible implementation manner, in the method for determining an abnormal live broadcast provided by the present disclosure, after determining that a current live broadcast of a target account is an abnormal live broadcast, the method further includes: storing currently live screenshot data of the target account.
According to a second aspect of the embodiments of the present disclosure, there is provided an apparatus for determining abnormal live broadcast, including:
the acquisition unit is configured to execute acquisition of currently live screen capture data of the target account;
the calculation unit is configured to execute calculation of similarity between current live screen capture data of the target account and a plurality of historical screen capture data, wherein the historical screen capture data are screen capture data which are played live;
the determining unit is configured to execute the step of determining that the current live broadcast of the target account is abnormal live broadcast when the similarity between the current live broadcast of the target account and the preset number of historical screen capture data is larger than a preset similarity threshold value.
In one possible implementation, the present disclosure provides an apparatus for determining abnormal live broadcast, where the historical screenshot data includes one or more of the following:
the method comprises the steps of screen capture data of historical abnormal live broadcast, screen capture data of any current live broadcast historical moment of a target account, and screen capture data of any current live broadcast historical moment of other accounts.
In a possible implementation manner, in the apparatus for determining an abnormal live broadcast provided by the present disclosure, the determining unit is specifically configured to perform:
sending verification request information to a target account;
upon determining that the target account does not properly respond to the verification request information: and determining that the current live broadcast of the target account is abnormal live broadcast, or repeatedly sending verification request information to the target account, and determining that the current live broadcast of the target account is abnormal live broadcast when the times that the target account incorrectly responds to the verification request information is larger than a preset time threshold value.
In a possible implementation manner, in the apparatus for determining an abnormal live broadcast provided by the present disclosure, the verification request message is a verification request message that requests the target account to move the preset graphical control to a specified location.
In a possible implementation manner, in the apparatus for determining abnormal live broadcast provided by the present disclosure, the determining unit is further configured to perform:
and after the current live broadcast of the target account is determined to be abnormal live broadcast, reducing a recommendation weight value for recommending the current live broadcast of the target account to other accounts.
In a possible implementation manner, the apparatus for determining abnormal live broadcast provided by the present disclosure further includes:
the storage unit is configured to execute storing screen capture data of the current live broadcast of the target account after determining that the current live broadcast of the target account is abnormal live broadcast.
According to a third aspect of the embodiments of the present disclosure, there is provided an apparatus for determining abnormal live broadcast, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of determining an anomalous live broadcast of any one of the first aspect.
According to a fourth aspect of embodiments of the present disclosure, there is provided a storage medium having instructions that, when executed by a processor of an abnormally live determining apparatus, enable the abnormally live determining apparatus to perform the abnormally live determining method of any one of the first aspects.
The technical scheme provided by the embodiment of the disclosure at least brings the following beneficial effects:
the method comprises the steps of obtaining current live screen capture data of a target account, calculating similarity between the current live screen capture data of the target account and a plurality of historical screen capture data, wherein the historical screen capture data are live screen capture data which are played, and when the similarity between the current live screen capture data of the target account and the historical screen capture data of a preset number is larger than a preset similarity threshold value, determining that the current live screen of the target account is abnormal live screen. Compared with the prior art, the current live broadcast of the target account with the similarity greater than the preset similarity threshold value is determined to be abnormal live broadcast by comparing the current live broadcast screenshot data of the target account with the similarity of the historical live broadcast screenshot data of the preset number, so that whether the live broadcast content of the target account is abnormal live broadcast or not can be automatically determined in the live broadcast process of the target account, the efficiency of determining the live broadcast content to be abnormal live broadcast is improved, and the labor cost required by manual auditing is reduced.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure and are not to be construed as limiting the disclosure.
Fig. 1 is a diagram illustrating a live screenshot of an abnormally live event in a live scene, according to an example embodiment.
Fig. 2 is a schematic flow chart diagram illustrating a method of determining anomalous live broadcast in accordance with an exemplary embodiment.
Fig. 3 is a diagram illustrating authentication request information according to an example embodiment.
Fig. 4 is a schematic flow chart diagram illustrating another method of determining anomalous live broadcast in accordance with an illustrative embodiment.
Fig. 5 is a schematic structural diagram illustrating an apparatus for determining abnormal live broadcast according to an exemplary embodiment.
Fig. 6 is a schematic structural diagram illustrating an abnormally live determining apparatus according to an exemplary embodiment.
Fig. 7 is a schematic structural diagram illustrating a terminal to which a determination method of an abnormal live broadcast is applied according to an exemplary embodiment.
Detailed Description
To make the objects, technical solutions and advantages of the present disclosure more clear, the present disclosure will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present disclosure, not all of the embodiments. All other embodiments, which can be derived by one of ordinary skill in the art from the embodiments disclosed herein without making any creative effort, shall fall within the scope of protection of the present disclosure.
Some of the words that appear in the text are explained below:
1. the term "and/or" in the embodiments of the present disclosure describes an association relationship of associated objects, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
2. The term "terminal" in the embodiments of the present disclosure may be meant to include electronic devices such as mobile phones, computers, tablets, and the like.
The application scenario described in the embodiment of the present disclosure is for more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not form a limitation on the technical solution provided in the embodiment of the present disclosure, and as a person having ordinary skill in the art knows, with the occurrence of a new application scenario, the technical solution provided in the embodiment of the present disclosure is also applicable to similar technical problems. In the description of the present disclosure, the term "plurality" means two or more unless otherwise specified.
As shown in fig. 1, fig. 1 is a schematic view of a live screen shot of an abnormal live broadcast in an actual live broadcast scene, and the live broadcast content shown in fig. 1 is a loop broadcast advertisement. In addition, the situation that the live content has only one picture occurs in the live broadcast, such as recruiters or network part-time advertisements. Such live broadcasting is abnormal live broadcasting instead of actual live broadcasting, which causes low quality of live broadcasting content due to repeated playing content and affects watching experience of users. At present, for such abnormal live broadcast, manual review is generally needed to screen the live broadcast content, a large amount of labor cost is needed, and the real-time performance is poor and the efficiency is low.
In view of this, the embodiment of the present disclosure provides a determination scheme for abnormal live broadcast, which determines that the current live broadcast of a target account with similarity to a preset number of historical live broadcast screen capture data greater than a preset similarity threshold is abnormal live broadcast by comparing the current live broadcast screen capture data of the target account with the similarity of the historical live broadcast screen capture data, so that in a live broadcast process of the target account, whether live broadcast content of the target account is abnormal live broadcast or not can be automatically determined, efficiency of determining live broadcast content as abnormal live broadcast is improved, and labor cost required for manual review is reduced.
Fig. 2 is a flowchart illustrating a method for determining an abnormal live broadcast according to an exemplary embodiment, where as shown in fig. 2, the method for determining an abnormal live broadcast includes the following steps:
step S201, acquiring currently live screenshot data of the target account.
In specific implementation, when the target account is in live broadcasting, a terminal used by the target account can upload the current live broadcast data of the target account to the server, and the live broadcast data can be live broadcast data with preset duration. In the embodiment of the disclosure, the obtained current live screenshot data (live screenshot) of the target account may be screenshot data of real-time live data of the target account, screenshot data of live data within a preset time duration of the target account may be obtained, and screenshot data of live data with a random time duration may also be obtained. For example, a live shot is taken every 5 seconds, or every 3 seconds. For another example, a plurality of screenshots of the current live broadcast at any time are obtained.
Step S202, calculating similarity between current live screen capture data of the target account and a plurality of historical screen capture data, wherein the historical screen capture data are screen capture data which are played live.
In specific implementation, the server side can store historical screen capture data (historical live screen capture) in advance, and if the advertisement is played circularly or the picture type is abnormally live, the current live screen capture of the target account has higher similarity with the historical live screen capture. Whether the current live screenshot of the target account is similar to the historical live screenshot can be calculated, for example, the similarity between the current live screenshot of the target account and the historical live screenshot of the target account is calculated by using image comparison and other technologies or a pre-trained image comparison neural network model.
Note that the historical screen capture data is screen capture data of a live broadcast already played, for example, a screen capture of live broadcast content already played before the current live broadcast time of the target account.
In a practical application scenario, the historical screen capture data includes one or more of the following:
the method comprises the steps of screen capture data of historical abnormal live broadcast, screen capture data of any current live broadcast historical moment of the target account, and screen capture data of any current live broadcast historical moment of other accounts.
In specific implementation, the historical screenshot data of the abnormal live broadcast in the historical screenshot data may be screenshot data confirmed as the abnormal live broadcast, all screenshot data confirmed as the abnormal live broadcast in a live broadcast platform, or screenshot data of a target account confirmed as the abnormal live broadcast.
The screen capture data of any one historical moment of the current live broadcast of the target account in the historical screen capture data can be screen capture data of preset duration of the current live broadcast of the target account, and can also be screen capture data of a certain historical moment of the current live broadcast of the target account.
The screenshot data of any one historical moment of the current live broadcast of other accounts in the historical screenshot data may be a screenshot of live broadcast content that has been broadcast before the current live broadcast moment of the other accounts, and it should be noted that the other accounts may be one or more live broadcast accounts.
The method for determining abnormal live broadcast in the embodiment of the disclosure can also be applied to scenes in which multiple accounts live broadcast the same content. For example, the current live broadcasts of the account a, the account B, and the account C are all the broadcast video 1, and for example, the account D and the account E are currently live broadcasts of the same anchor a, that is, the anchor a performs live broadcast activities through the two accounts D and E at the same time.
In an actual application scene, historical screen capture data can be stored in a database, and the screen capture in the database can only comprise a historical abnormal live screen capture, can also only comprise screen capture data of any current live broadcast historical moment of a target account, and can also only comprise screen capture data of any current live broadcast historical moment of other accounts; the method can also comprise a screenshot of the historical abnormal live broadcast and screenshot data of any current live broadcast historical moment of the target account, or comprise the screenshot of the historical abnormal live broadcast and screenshot data of any current live broadcast historical moment of other accounts, or comprise the screenshot data of any current live broadcast historical moment of the target account and the screenshot data of any current live broadcast historical moment of other accounts; the method can also comprise screenshot of historical abnormal live broadcast, screenshot data of any current live broadcast historical moment of the target account and screenshot data of any current live broadcast historical moment of other accounts.
And storing screenshots of historical abnormal live broadcasts, screenshots of any current live broadcast historical moment of the target account and screenshots of any current live broadcast historical moment of other accounts into different databases, and determining the database related to the historical screenshots according to the actual application scene.
It should be noted that, the number limit of the historical screen capture data may also be set according to the actual application scenario, for example, the plurality of historical screen capture data may be 30 historical screen captures, or the time interval covered by the historical screen capture data may be set, for example, the plurality of historical screen capture data may be historical screen captures 20 days before the current time.
Step S203, when the similarity between the current live screen capture data of the target account and the preset amount of historical screen capture data is larger than a preset similarity threshold value, determining that the current live screen of the target account is abnormal live screen.
In specific implementation, a similarity threshold value can be preset, similarity comparison is carried out on the current live screenshot of the target account and the plurality of historical screenshots, and if the number of similarities, larger than the preset similarity threshold value, of the current live screenshot of the target account and the historical screenshot data is a preset number, the current live screenshot of the target account can be determined to be abnormal live.
For example, the historical live broadcast screenshot comprises 20 historical live broadcast screenshots, when a preset similarity parameter threshold value is 95% and the preset number is 2 from the current live broadcast screenshot of 10 target accounts, the similarity parameter between the obtained current live broadcast screenshot of the target account and the 20 historical live broadcast screenshots can be calculated by using the technologies such as image comparison, and the like, if the similarity parameter between the screenshot 1 and the historical screenshot a is 95.2% and the similarity parameter between the screenshot 9 and the historical screenshot c is 95% in the 10 live broadcast screenshots, it can be determined that the current live broadcast of the target account is abnormal live broadcast.
In order to further improve the accuracy of identifying abnormal live broadcast, after the similarity between the current live broadcast screenshot data of the target account and the preset number of historical screenshot data is determined to be greater than a preset similarity threshold value, verification request information can be sent to the target account; upon determining that the target account does not properly respond to the verification request information: and determining that the current live broadcast of the target account is abnormal live broadcast, or repeatedly sending verification request information to the target account, and determining that the current live broadcast of the target account is abnormal live broadcast when the times that the target account incorrectly responds to the verification request information is larger than a preset time threshold value.
In specific implementation, after the similarity between the current live screen capture data of the target account and the preset amount of historical screen capture data is determined to be greater than a preset similarity threshold, verification request information can be sent to the target account for confirming whether the target account performing real-time live broadcast has an actual anchor live broadcast for live broadcast activity, wherein the verification request information can be a verification request message for requesting the target account to move a preset graphic control to an appointed position, in other words, the verification request information can be correctly responded to the verification request information only by being manually triggered by a user to which the target account belongs.
As shown in fig. 3, the verification request information in the form of the verification code shown in fig. 3 needs to be slid by a user (e.g., a live anchor or a staff member) using a target account to a specified position to complete the verification request, in other words, the verification request information needs to be manually operated by a person to trigger a response of the verification request information to be sent to the server.
If the target account does not correctly respond to the verification request information, the current live broadcast of the target account can be directly determined to be abnormal live broadcast. The incorrect response to the verification request information may mean that no response is made to the verification request information. For example, the fact that the user of the target account does not perform any processing on the verification code received at the current time may also mean that the user does not respond to the verification request message within a preset time period. For another example, after sending the verification request information to the target account, the response of the target user to the verification request information is not received within 30 seconds, which may also mean that the verification request information is responded, but no correct response is made. For example, the user of the target account does not move the picture in the passcode to the specified location, but moves to another location.
If the target account does not correctly respond to the verification request information, the method can reflect that the target account can circularly play the live broadcast content of the video or the picture, no actual anchor is in live broadcast activity, and can also repeatedly send the verification request information to the target account to confirm whether the actual anchor is in live broadcast activity or not. And determining whether the current live broadcast of the target account is abnormal live broadcast or not according to the condition that the frequency of the target account for correctly responding to the verification request information is greater than a preset frequency threshold value.
For example, when the preset number threshold is 3, the number of times that the target account does not correctly respond to the verification response information is 4, and if the number is greater than the preset number threshold, it may be determined that the live broadcast is an abnormal live broadcast. When the verification request information is repeatedly sent to the target account, the interval duration of sending the verification request information, that is, the cooling duration, may be set according to the actual application scenario, for example, 1 minute. After the target account correctly responds to the verification request information received again, the verification request information can not be continuously and repeatedly sent to the target account.
In an actual application scenario, for abnormal live broadcast, a recommendation weight value for recommending the current live broadcast of a target account to other accounts can be reduced.
During specific implementation, the recommendation weight value of the abnormal live broadcast is reduced, namely the distribution weight distributed to other accounts by the abnormal live broadcast is reduced, so that the abnormal live broadcast can not be seen when other accounts use a live broadcast platform, more normal live broadcasts can be seen, and the watching experience is improved.
In one possible implementation, after determining that the current live broadcast of the target account is an abnormal live broadcast, storing screen capture data of the current live broadcast of the target account.
During specific implementation, a plurality of live screenshots collected from live data of the target account can be stored as historical screenshot data, so that accuracy of identification on whether current live of the target account is abnormal live or not is improved, and accuracy of identification on whether current callback of other accounts is abnormal live or not is improved.
Fig. 4 is a flowchart illustrating a method for determining an abnormal live broadcast according to an exemplary embodiment, where as shown in fig. 4, the method for determining an abnormal live broadcast includes the following steps:
step S401, acquiring currently live screen capture data of the target account.
In specific implementation, the screenshot data may be a screenshot, and the current live screenshot of the target account may be obtained at a preset sampling interval.
Step S402, calculating the similarity between the current live screen capture data and the historical screen capture data of the target account.
The historical abnormal live screenshot data in the historical screenshot data can be screenshot data confirmed as abnormal live, all screenshot data confirmed as abnormal live in a live platform, screenshot data confirmed as abnormal live in a target account, and screenshot data of any current live historical moment of other accounts. The screen capture data of any one historical moment of the current live broadcast of the target account in the historical screen capture data can be screen capture data of preset duration of the current live broadcast of the target account, and can also be screen capture data of a certain historical moment of the current live broadcast of the target account; the screen capture data of any one historical moment of the current live broadcast of other accounts in the historical screen capture data can be screen capture data of preset duration of the current live broadcast of other accounts, and can also be screen capture data of a certain historical moment of the current live broadcast of other accounts.
In specific implementation, the similarity between the current live screenshot and the historical screenshot of the target account can be calculated by using an image comparison technology.
Step S403, determining whether the similarity is greater than a preset similarity threshold, if so, executing step S404, otherwise, executing step S401.
In the specific implementation, in an actual application scene, a similarity threshold value is preset, the similarity between the current live screenshot of the target account and the historical screenshot is greater than the preset similarity threshold value, the current live screenshot of the target account may be live videos of circularly played advertisements or pictures, the current live screenshot of the target account is further judged, step S404 is executed, otherwise, the current live screenshot of the target account is continuously obtained, whether the current live screenshot of the target account is abnormal live is identified in real time, and step S401 is executed next.
Step S404, judging whether the quantity of the screen capturing data of the target account, the similarity of which between the current live screen capturing data and the historical screen capturing data is larger than a preset similarity threshold value, is larger than a preset quantity, if so, executing step S405, and otherwise, executing step S401.
In specific implementation, it is determined that the number of screenshots of the target account, the similarity of which between the current live screen and the historical screenshot is greater than the preset similarity threshold, is greater than the preset number, the current live content of the target account is reflected to be repeated with the historical live content, the possibility that the current live content of the target account is the same as the current live content of other accounts in a circulating mode is increased, step S405 is executed next, the target account is verified, and if the number of screenshots of which the similarity between the current live screen and the historical screenshot of the target account is greater than the preset similarity threshold is smaller than or equal to the preset number, whether the current live content of the target account is abnormal live or not is continuously identified.
Step S405, sends the authentication request information to the target account.
In specific implementation, the verification request information in the form of the verification code shown in fig. 3 needs to be triggered by the user to send verification response information to the server through sliding the image, when the user slides the image to a designated position, the user can determine to send correct verification response information to the server, when the user slides the image to a non-designated position, the user can determine to send incorrect verification response information to the server, and when the user does not perform verification operation on the verification request information, the user can determine that the target account does not send verification response information to the server.
Of course, it should be noted that the authentication request message shown in fig. 3 is only used as an example, and in other embodiments of the present disclosure, other forms of authentication request messages may be used, such as selecting a specific picture from a plurality of pictures, selecting a plurality of words from a plurality of words in a specified order, and so on.
Step S406, determining whether the target account correctly responds to the verification request message, if so, executing step S401 next, otherwise, executing step S407 next.
In specific implementation, if the response information of the target user to the verification request information is not received, or the response information of the wrong verification request information is received, the target account can be regarded as incorrectly responding to the verification request information, step S407 is executed next, whether abnormal live broadcast is performed is further determined, if the response information of the correct target account to the verification request information is received, whether the current live broadcast of the target account is abnormal live broadcast is continuously identified, and step S401 is executed next.
Step S407, determining whether the number of times that the target account incorrectly responds to the request message is greater than a preset number threshold, if so, executing step S408, otherwise, executing step S405.
In specific implementation, after determining that the target user incorrectly responds to the verification request information, it is determined whether the number of times that the target account incorrectly responds to the request information is greater than a preset number threshold, for example, 3 times. If the number of times that the target account does not correctly respond to the request information is less than or equal to the preset number threshold, the verification request information is repeatedly sent to the target account, or the verification request information is sent to the target account again after a preset time period, that is, step S405 is executed. And if the times that the target account does not correctly respond to the request information are larger than the preset times threshold value, reflecting that the current live broadcast of the target account does not have the actual anchor live broadcast activity, and executing the step S408 to determine that the current live broadcast of the target account is abnormal live broadcast.
Step S408, determining the current live broadcast of the target account as abnormal live broadcast.
In specific implementation, the abnormal live broadcast can be a live broadcast of a circulating advertisement or picture type, that is, no actual anchor is available for live broadcast.
And step S409, reducing the recommendation weight value recommended to other accounts by abnormal live broadcast.
In specific implementation, after the recommendation weight value recommended to other accounts by the abnormal live broadcast is reduced, the other accounts cannot be recommended or distributed to the abnormal live broadcast, in other words, users of the other accounts cannot see the abnormal live broadcast of the type of the cyclically played advertisement or picture, and the watching experience is improved.
Fig. 5 is a block diagram illustrating an apparatus for determining abnormal live broadcast according to an exemplary embodiment, and as shown in fig. 5, the apparatus includes an obtaining unit 501, a calculating unit 502, and a determining unit 503.
An obtaining unit 501 configured to perform obtaining of currently live screen capture data of a target account;
a calculating unit 502 configured to perform calculating similarity between current live screen capture data of a target account and a plurality of historical screen capture data, wherein the historical screen capture data is live screen capture data which has already been played;
the determining unit 503 is configured to perform, when it is determined that the similarity between the currently live screenshot data of the target account and the preset number of historical screenshot data is greater than a preset similarity threshold, determining that the current live screenshot of the target account is an abnormal live screenshot.
In one possible implementation, the present disclosure provides an apparatus for determining abnormal live broadcast, where the historical screenshot data includes one or more of the following:
the method comprises the steps of screen capture data of historical abnormal live broadcast, screen capture data of any current live broadcast historical moment of a target account, and screen capture data of any current live broadcast historical moment of other accounts.
In a possible implementation manner, in the apparatus for determining an abnormal live broadcast provided by the present disclosure, the determining unit 503 is specifically configured to perform:
sending verification request information to a target account;
upon determining that the target account does not properly respond to the verification request information: and determining that the current live broadcast of the target account is abnormal live broadcast, or repeatedly sending verification request information to the target account, and determining that the current live broadcast of the target account is abnormal live broadcast when the times that the target account incorrectly responds to the verification request information is larger than a preset time threshold value.
In a possible implementation manner, in the apparatus for determining an abnormal live broadcast provided by the present disclosure, the verification request message is a verification request message that requests the target account to move the preset graphical control to a specified location.
In a possible implementation manner, in the apparatus for determining abnormal live broadcast provided by the present disclosure, the determining unit is further configured to perform:
and after the current live broadcast of the target account is determined to be abnormal live broadcast, reducing a recommendation weight value for recommending the current live broadcast of the target account to other accounts.
In a possible implementation manner, the apparatus for determining abnormal live broadcast provided by the present disclosure further includes: a storage unit 504 configured to execute storing screen capture data of the current live broadcast of the target account after determining that the current live broadcast of the target account is an abnormal live broadcast.
Based on the same concept of the foregoing embodiment of the present disclosure, fig. 6 is a block diagram of an abnormal live broadcast determining apparatus 600 according to an exemplary embodiment, and as shown in fig. 6, the abnormal live broadcast determining apparatus 600 shown in the embodiment of the present disclosure includes:
a processor 610;
a memory 620 for storing instructions executable by the processor 610;
wherein, the processor 610 is configured to execute instructions to implement the method for determining abnormal live broadcast in the embodiment of the present disclosure.
In an exemplary embodiment, a storage medium comprising instructions, such as the memory 620 comprising instructions, executable by the processor 610 of the determination device of abnormal live broadcast to perform the method described above is also provided. Alternatively, the storage medium may be a non-transitory computer readable storage medium, for example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
In this disclosure, as shown in fig. 7, an embodiment of the present disclosure provides an abnormal live broadcast determining terminal 700, including: radio Frequency (RF) circuit 710, power supply 720, processor 730, memory 740, input unit 750, display unit 760, camera 770, communication interface 780, and Wireless Fidelity (Wi-Fi) module 790. Those skilled in the art will appreciate that the configuration of the terminal shown in fig. 7 is not intended to be limiting, and that the terminal provided by the embodiments of the present application may include more or less components than those shown, or some components may be combined, or a different arrangement of components may be provided.
The various components of terminal 700 are described in detail below with reference to fig. 7:
the RF circuitry 710 may be used for receiving and transmitting data during a communication or conversation. Specifically, the RF circuit 710 sends the downlink data of the base station to the processor 730 for processing; and in addition, sending the uplink data to be sent to the base station. In general, the RF circuit 710 includes, but is not limited to, an antenna, at least one Amplifier, a transceiver, a coupler, a Low Noise Amplifier (LNA), a duplexer, and the like.
In addition, the RF circuit 710 may also communicate with networks and other terminals through wireless communication. The wireless communication may use any communication standard or protocol, including but not limited to Global System for mobile communications (GSM), General Packet Radio Service (GPRS), Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Long Term Evolution (LTE), email, Short Messaging Service (SMS), etc.
Wi-Fi technology belongs to short-distance wireless transmission technology, and the terminal 700 can be connected with an Access Point (AP) through a Wi-Fi module 790, so as to realize Access of a data network. Wi-Fi module 790 may be used for receiving and transmitting data during communication.
Since the terminal 700 can implement a communication service to send information to other contacts in the embodiment of the present application, the terminal 700 needs to have a data transmission function, that is, the terminal 700 needs to include a communication module inside. Although fig. 7 illustrates communication modules such as RF circuitry 710, Wi-Fi module 790, and communication interface 780, it is to be understood that at least one of the foregoing components or other communication modules (e.g., bluetooth module) for enabling communications may be present in terminal 700 for data transmission.
For example, when the terminal 700 is a mobile phone, the terminal 700 may include the RF circuit 710 and may also include the Wi-Fi module 790; when the terminal 700 is a computer, the terminal 700 may include a communication interface 780 and may also include a Wi-Fi module 790; when the terminal 700 is a tablet computer, the terminal 700 may include a Wi-Fi module.
Alternatively, the memory 740 may mainly include a program storage area and a data storage area. The storage program area can store an operating system, various application programs (such as communication application), a face recognition module and the like; the storage data area may store data (such as various multimedia files like pictures, video files, etc., and face information templates) created according to the use of the terminal, etc.
In addition, the memory 740 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 volatile solid state storage device.
The input unit 750 may be used to receive numeric or character information input by a user and generate key signal inputs related to user settings and function control of the terminal 700.
Alternatively, the input unit 750 may include a touch panel 751 and other input terminals 752.
Among them, the touch panel 751, also called a touch screen, can collect touch operations of a user (for example, operations of the user on or near the touch panel 751 by using any suitable object or accessory such as a finger, a stylus pen, etc.) and drive the corresponding connection device according to a preset program. Alternatively, the touch panel 751 may include two portions of a touch detection device and a touch controller. The touch detection device detects the touch direction of a user, detects a signal brought by touch operation and transmits the signal to the touch controller; the touch controller receives touch information from the touch sensing device, converts the touch information into touch point coordinates, sends the touch point coordinates to the processor 730, and can receive and execute commands sent by the processor 730. In addition, the touch panel 751 may be implemented in various types, such as resistive, capacitive, infrared, and surface acoustic wave.
Alternatively, other input terminals 752 may include, but are not limited to, one or more of a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, a joystick, and the like.
The display unit 760 may be used to display information input by the user or information provided to the user and various menus of the terminal 700. The display unit 760 is a display system of the terminal 700, and is used for presenting an interface to implement human-computer interaction.
The display unit 760 may include a display panel 761. Alternatively, the Display panel 761 may be configured in the form of a Liquid Crystal Display (LCD), an Organic Light-Emitting Diode (OLED), or the like.
Further, the touch panel 751 can cover the display panel 761, and when the touch panel 751 detects a touch operation thereon or nearby, the touch panel is transmitted to the processor 730 to determine the type of the touch event, and then the processor 730 provides a corresponding visual output on the display panel 761 according to the type of the touch event.
Although in fig. 7, the touch panel 751 and the display panel 761 are implemented as two separate components to implement the input and output functions of the terminal 700, in some embodiments, the touch panel 751 and the display panel 761 can be integrated to implement the input and output functions of the terminal 700.
The processor 730 is a control center of the terminal 700, connects the respective components using various interfaces and lines, performs various functions of the terminal 700 and processes data by operating or executing software programs and/or modules stored in the memory 740 and calling data stored in the memory 740, thereby implementing various terminal-based services.
Optionally, processor 730 may include one or more processing units. Optionally, processor 730 may integrate an application processor, which primarily handles operating systems, user interfaces, applications, etc., and a modem processor, which primarily handles wireless communications. It will be appreciated that the modem processor described above may not be integrated into processor 730.
And a camera 770 for implementing a photographing function of the terminal 700 and taking pictures or videos. The camera 770 may also be used to implement a scanning function of the terminal 700 to scan a scanned object (two-dimensional code/barcode).
The terminal 700 also includes a power supply 720 (e.g., a battery) for powering the various components. Optionally, the power supply 720 may be logically connected to the processor 730 through a power management system, so as to implement functions of managing charging, discharging, power consumption, and the like through the power management system.
It is noted that the processor 730 of the embodiment of the disclosure can perform the functions of the processor 610 in fig. 6, and the memory 740 stores the contents of the processor 610.
In addition, in an exemplary embodiment, the present disclosure further provides a storage medium, and when an instruction in the storage medium is executed by a processor of the foregoing abnormally live determining apparatus, the foregoing abnormally live determining apparatus is enabled to implement the abnormally live determining method in the embodiment of the present disclosure.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.
Claims (10)
1. A method for determining abnormal live broadcast, the method comprising:
acquiring currently live screen capture data of a target account;
calculating similarity between current live screen capture data of the target account and a plurality of historical screen capture data, wherein the historical screen capture data are screen capture data which are played live;
and when the similarity between the current live broadcast screenshot data of the target account and the preset number of historical screenshot data is determined to be larger than a preset similarity threshold value, determining that the current live broadcast of the target account is abnormal live broadcast.
2. The method of claim 1, wherein the historical screen capture data comprises one or more of:
the method comprises the steps of screen capture data of historical abnormal live broadcast, screen capture data of any current live broadcast historical moment of the target account, and screen capture data of any current live broadcast historical moment of other accounts.
3. The method of claim 1, wherein the determining that the current live broadcast of the target account is an abnormal live broadcast comprises:
sending verification request information to the target account;
upon determining that the target account does not properly respond to the verification request information: and determining that the current live broadcast of the target account is abnormal live broadcast, or repeatedly sending the verification request information to the target account, and determining that the current live broadcast of the target account is abnormal live broadcast when the times that the target account does not correctly respond to the verification request information are larger than a preset time threshold.
4. The method according to claim 3, wherein the authentication request message is an authentication request message requesting the target account to move a preset graphical control to a specified location.
5. The method of claim 1, wherein after determining that the current live broadcast of the target account is an anomalous live broadcast, the method further comprises:
and reducing a recommendation weight value for recommending the current live broadcast of the target account to other accounts.
6. The method of claim 1, wherein after determining that the current live broadcast of the target account is an anomalous live broadcast, the method further comprises: storing currently live screenshot data of the target account.
7. An apparatus for determining anomalous live broadcast, the apparatus comprising:
the acquisition unit is configured to execute acquisition of currently live screen capture data of the target account;
the calculation unit is configured to calculate similarity between current live screen capture data of the target account and a plurality of historical screen capture data, wherein the historical screen capture data are live screen capture data which are played;
the determining unit is configured to determine that the current live broadcast of the target account is abnormal live broadcast when the similarity between the current live broadcast of the target account and the preset number of historical screen capture data is determined to be larger than a preset similarity threshold value.
8. The apparatus of claim 7, wherein the historical screen capture data comprises one or more of:
the method comprises the steps of screen capture data of historical abnormal live broadcast, screen capture data of any current live broadcast historical moment of the target account, and screen capture data of any current live broadcast historical moment of other accounts.
9. An apparatus for determining abnormal live broadcast, comprising:
a processor;
a memory for storing the processor-executable instructions;
wherein the processor is configured to execute the instructions to implement the method of determining an anomalous live broadcast of any of claims 1 to 6.
10. A storage medium, wherein instructions in the storage medium, when executed by a processor of an abnormally live determining apparatus, enable the abnormally live determining apparatus to perform the abnormally live determining method according to any one of claims 1 to 6.
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