CN111597468A - Social content generation method, device and equipment and readable storage medium - Google Patents

Social content generation method, device and equipment and readable storage medium Download PDF

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Publication number
CN111597468A
CN111597468A CN202010389523.5A CN202010389523A CN111597468A CN 111597468 A CN111597468 A CN 111597468A CN 202010389523 A CN202010389523 A CN 202010389523A CN 111597468 A CN111597468 A CN 111597468A
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social
content
account
information
template
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CN111597468B (en
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郑尚镇
郭润增
王少鸣
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Tencent Technology Shenzhen Co Ltd
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Tencent Technology Shenzhen Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9538—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9536—Search customisation based on social or collaborative filtering

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Abstract

The application discloses a social content generation method, a social content generation device, social content generation equipment and a readable storage medium, and relates to the field of artificial intelligence. The method comprises the following steps: receiving a payment operation of a first account, wherein the payment operation is used for paying the exchange resources to a second account; collecting biological characteristic information of the first account in response to the payment operation; acquiring social template information corresponding to the second account; and combining the biological characteristic information with the social template information to generate social content. When the user verifies and pays through the biological characteristic information, the social content is generated according to the biological characteristic information and the social template information, so that the user can directly publish the automatically generated social content, the complex process of editing the comment content and publishing the comment content on a specific platform is avoided, and the generation and publishing efficiency of the social content is improved.

Description

Social content generation method, device and equipment and readable storage medium
Technical Field
The embodiment of the application relates to the field of artificial intelligence, in particular to a social content generation method, a social content generation device, social content generation equipment and a readable storage medium.
Background
With the gradual development of internet technology, online or offline mobile phone payment is a payment means which is commonly used in the daily shopping process, wherein in the offline payment scenario, a merchant usually presents a payment receiving code to pay the exchange resource by a user terminal, or the user terminal presents the payment code to receive the exchange resource by the merchant, thereby completing the payment process.
In the related art, when a user is satisfied with a shopping process, comment content can be edited in a comment area corresponding to a social platform or a merchant platform and published, so that the merchant is recommended to other users or a shopping experience of the shopping process is expressed.
However, in the above process of publishing the comment content, the user needs to edit the comment content after payment is completed, and publish the comment content on the corresponding platform, so that the process of publishing the comment content is complicated, and the human-computer interaction efficiency is low.
Disclosure of Invention
The embodiment of the application provides a method, a device and equipment for generating social content and a readable storage medium, and the generation efficiency of the social content published by a user can be improved. The technical scheme is as follows:
in one aspect, a method for generating social content is provided, where the method includes:
receiving sensitive operation of a first account, wherein the sensitive operation is used for realizing exchange of exchange resources with a second account;
responding to the sensitive operation, and acquiring biological characteristic information of the first account, wherein the biological characteristic information is used for identity verification of the first account in the sensitive operation process;
acquiring social template information corresponding to the second account, wherein the social template information comprises account information corresponding to the second account;
and combining the biological characteristic information with the social template information to generate the social content, wherein the social content is used for providing the content published in a social platform for the first account.
In another aspect, an apparatus for generating social content is provided, the apparatus including:
the receiving module is used for receiving sensitive operation of the first account, and the sensitive operation is used for realizing exchange of exchange resources with the second account;
the acquisition module is used for responding to the sensitive operation and acquiring the biological characteristic information of the first account, wherein the biological characteristic information is used for identity verification of the first account in the sensitive operation process;
an obtaining module, configured to obtain social template information corresponding to the second account, where the social template information includes account information corresponding to the second account;
and the generating module is used for combining the biological characteristic information with the social template information to generate the social content, and the social content is used for providing the content published in a social platform for the first account.
In an optional embodiment, the social template information includes a padding corresponding to the biometric information;
the generating module is further configured to fill the biometric information into the filling bits, and generate the social content.
In an alternative embodiment, the biometric information comprises a face recognition image, and the social template information comprises a social template image;
the acquisition module is further used for acquiring a face area in the face recognition image;
the generating module is further configured to fill the face region into the filling bits in the social template image, and generate the social content.
In an optional embodiment, the obtaining module is further configured to input the face recognition image into a face matting model, and output the face matting model to obtain the face region, where the face matting model is a machine learning model obtained by training a sample face image labeled with a sample face region in advance.
In an alternative embodiment, the biometric information includes an authentication voice, and the social template information includes a social template voice;
the acquisition module is further used for extracting a human voice part in the verification voice;
the generating module is further configured to fill the vocal part into the filling bits of the social template voice, and generate the social content.
In an optional embodiment, the biometric information includes verification voice, the social template information includes a social template image, and a voice playing control is set in the social template image as the filling bit;
the acquisition module is further used for extracting a human voice part in the verification voice;
the generating module is further configured to link the voice playing control to the voice part, and generate the social content.
In an alternative embodiment, the biometric information comprises an iris recognition image, and the social template information comprises a social template image;
the acquisition module is further used for acquiring an eye region in the iris recognition image;
the generating module is further configured to fill the eye region into the filling position in the social template image, and generate the social content.
In an optional embodiment, the receiving module is further configured to receive a content publishing operation, where the content publishing operation is configured to publish the social content in the social platform with the first account;
the device, still include:
and the display module is used for responding to the content publishing operation and displaying content publishing reward information, wherein the content publishing reward information is information corresponding to the content publishing reward set by the second account.
In another aspect, a computer device is provided, the computer device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by the processor to implement the method of generating social content as provided in the above embodiments.
In another aspect, a computer-readable storage medium is provided, in which at least one instruction, at least one program, a set of codes, or a set of instructions is stored, which is loaded and executed by the processor to implement the social content generating method provided in the above embodiments.
In another aspect, a computer program product is provided, which when run on a computer causes the computer to execute the method for generating social content as provided in the embodiments of the present application.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
when the user carries out sensitive operation verification through the biological characteristic information, the social content is generated according to the biological characteristic information and the social template information, so that the user can directly publish the automatically generated social content, the complex process of editing the comment content and publishing the comment content on a specific platform is avoided, and the generation and publishing efficiency of the social content is improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a block diagram of a social content generating system provided in an exemplary embodiment of the present application;
FIG. 2 is a flow chart of a method for generating social content provided by an exemplary embodiment of the present application;
FIG. 3 is a schematic diagram of a social template image combined with a face recognition image provided based on the embodiment shown in FIG. 2;
FIG. 4 is a schematic diagram of combining a social template image with a verification voice provided based on the embodiment shown in FIG. 2;
FIG. 5 is a flow chart of a method for generating social content provided by another exemplary embodiment of the present application;
FIG. 6 is a schematic diagram of combining an eye image with a social template image provided based on the embodiment shown in FIG. 5;
FIG. 7 is a flow chart of a method for generating social content provided by another exemplary embodiment of the present application;
FIG. 8 is a schematic diagram of a social content posting process provided based on the embodiment shown in FIG. 7;
FIG. 9 is a schematic structural diagram of a social content posting system provided based on the embodiment shown in FIG. 7;
FIG. 10 is a flowchart illustrating an overall process for generating social content, as provided by an exemplary embodiment of the present application;
fig. 11 is a block diagram illustrating a social content generating apparatus according to an exemplary embodiment of the present application;
fig. 12 is a block diagram illustrating a social content generating apparatus according to another exemplary embodiment of the present application;
fig. 13 is a block diagram of a terminal according to an exemplary embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
First, terms referred to in the embodiments of the present application are briefly described:
artificial Intelligence (AI): the method is a theory, method, technology and application system for simulating, extending and expanding human intelligence by using a digital computer or a machine controlled by the digital computer, sensing the environment, acquiring knowledge and obtaining the best result by using the knowledge. In other words, artificial intelligence is a comprehensive technique of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can react in a manner similar to human intelligence. Artificial intelligence is the research of the design principle and the realization method of various intelligent machines, so that the machines have the functions of perception, reasoning and decision making.
The artificial intelligence technology is a comprehensive subject and relates to the field of extensive technology, namely the technology of a hardware level and the technology of a software level. The artificial intelligence infrastructure generally includes technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, big data processing technologies, operation/interaction systems, mechatronics, and the like. The artificial intelligence software technology mainly comprises a computer vision technology, a voice processing technology, a natural language processing technology, machine learning/deep learning and the like.
Computer Vision technology (Computer Vision, CV): the method is a science for researching how to make a machine see, and particularly refers to that a camera and a computer are used for replacing human eyes to perform machine vision such as identification, tracking and measurement on a target, and further graphics processing is performed, so that the computer processing becomes an image more suitable for human eyes to observe or is transmitted to an instrument to detect. As a scientific discipline, computer vision research-related theories and techniques attempt to build artificial intelligence systems that can capture information from images or multidimensional data. The computer vision technology generally includes image processing, image Recognition, image semantic understanding, image retrieval, Optical Character Recognition (OCR), video processing, video semantic understanding, video content/behavior Recognition, three-dimensional object reconstruction, 3D technology, virtual reality, augmented reality, synchronous positioning, map construction, and other technologies, and also includes common biometric technologies such as face Recognition and fingerprint Recognition.
Key technologies of Speech Technology (Speech Technology) are Automatic Speech Recognition (ASR) and Speech synthesis (Text To Speech, TTS) as well as voiceprint Recognition. The computer can listen, see, speak and feel, and the development direction of the future human-computer interaction is provided, wherein the voice becomes one of the best viewed human-computer interaction modes in the future.
Optionally, in this embodiment of the application, the computer vision technology is applied when performing face region matting on an image, and the voice technology is applied when performing voice extraction on voice content.
Sensitive operation: it refers to operations involving privacy, resource exchange, and the like, including sensitive data, in operations received by the terminal, such as: the method comprises the following steps of payment operation, password modification operation, personal information editing operation and the like, wherein the payment operation relates to sensitive information such as resource exchange and payment verification, the password modification operation relates to sensitive information such as passwords, and the personal information editing operation relates to sensitive information such as personal privacy data. In the embodiment of the present application, a sensitive operation time limit is taken as an example of a payment operation.
The method for generating the social content provided by the embodiment of the application can be applied to an online payment process and an offline payment process, and the application scenario to which the method for generating the social content is applied comprises at least one of the following application scenarios:
firstly, when the user consumes in the store online, the exchange resource corresponding to the purchased article is paid to the store, and in the payment process, the user performs identity verification through the biological characteristic information, such as: the identity authentication is completed through at least one of biological characteristic information such as face brushing, fingerprints, irises and voiceprints, so that payment is completed, in the payment process, the store is correspondingly provided with social contact template information, social contact content is generated through combining the biological characteristic information in the identity authentication process with the social contact template information, the social contact template information comprises recommendation information corresponding to the store, and a user can publish the social contact content to the social contact platform to recommend to the store;
secondly, when a user consumes on the online shopping platform, the user purchases the articles in the online shop and pays the exchange resources corresponding to the purchased articles to the online shop, in the payment process, the user performs identity verification through the biological characteristic information, the online shop is provided with social template information, the biological characteristic information in the identity verification process is combined with the social template information to generate social content, the social template information comprises recommendation information corresponding to the online shop, and the user can publish the social content to the online shop in the social platform for recommendation.
Optionally, the biometric information includes at least one of face information, fingerprint information, iris information, and voiceprint information, and the social template information includes at least one of a social template image and a social template voice, and when the biometric information is combined with the social template information, at least one of the following combination manners is included:
1. combining face information with social template images
Optionally, the face information is extracted from the face recognition image, and then a face region is extracted from the face recognition image and is filled into a filling position in the social template image, so as to obtain social content.
2. Integrating fingerprint information with social template images
Optionally, the fingerprint information is texture information extracted by a fingerprint extraction template of the terminal according to the texture on the finger of the user, the texture pattern is drawn, and the drawn texture image is filled into a filling position in the social template image to obtain social content, and optionally, the drawing mode includes at least one of fuzzification processing, partial texture processing and the like.
3. Combining iris information with social template images
Optionally, the iris information is obtained by collecting information of an eyeball of the user, and then, the eye region is obtained from the iris recognition image, and the eye region is filled into the filling position in the social template image, so as to obtain the social content.
4. Combining voiceprint information with social template images
Optionally, the voiceprint information is extracted from the verification voice, and the social contact template image includes a voice playing control, so that the voice playing control is directly linked to the verification voice to obtain social contact content, and the verification voice is played when the voice playing control is clicked; or extracting the voice part from the verification voice, and linking the voice playing control to the voice part to obtain social content, so that the voice part is played when the voice playing control is clicked.
5. Combining voiceprint information with social template speech
Optionally, the voiceprint information is extracted from the verification voice, and the verification voice is filled into a filling position in the social template voice to obtain social content; or extracting a voice part from the verification voice, and filling the voice part into filling bits in the social template voice to obtain social content.
Fig. 1 is a block diagram of a social content generating system according to an exemplary embodiment of the present application, and as shown in fig. 1, the social content generating system 100 includes a first terminal 110, a second terminal 120, and a server 130;
the first terminal 110 is a terminal for logging in a user account, and the user account corresponds to a payment function, and can perform payment in modes of showing a payment code, scanning a merchant collection code, inputting a transfer account to transfer accounts, automatically obtaining a merchant account according to a shop purchasing articles, and the like, wherein the first terminal 110 also needs to be subjected to identity verification in the payment process, and the identity verification process can be completed in forms of biological characteristic information, passwords, and the like; when the biometric information includes fingerprint information, the first terminal 110 includes a fingerprint acquisition module; when the biometric information includes iris information, the first terminal 110 includes an image acquisition module; when the biometric information includes voiceprint information, the first terminal 110 includes a sound collection module.
The second terminal 120 is a terminal for logging in a merchant account, and the merchant account has a collection function, and can collect collection by scanning a payment code, showing a collection code, or receiving a transfer, optionally, the merchant account is further provided with social template information correspondingly, which is used for combining with biological characteristic information of the user account in a payment process, generating social content, and providing the social content for the user account to be published in a social platform, optionally, the merchant account is provided with a plurality of different social template information for different biological characteristic information categories, and optionally, the merchant account first uploads and stores the set social template information into the server 130.
The server 130 is configured to provide a function of payment from the user account to the merchant account, and optionally, the server 130 is further configured to store social template information set by the merchant account, and send the social template information set by the merchant account to the user account according to an identity verification manner of a user account payment exchange resource in a process of payment from the user account to the merchant account, so that the first terminal 110 can generate social content according to the social template information for publishing; or, the server 130 may also obtain the biometric information acquired by the first terminal 110 during the authentication process from the first terminal 110, generate social content according to the biometric information and the social template content, and send the social content to the first terminal 110 for confirmation of publication. Optionally. The server 130 may be implemented as one server or a server cluster formed by multiple servers, and the server 130 may be implemented as a physical server or a cloud server, which is not limited in this embodiment of the application.
With reference to the above description, a method for generating social content provided in an embodiment of the present application is described, and fig. 2 is a flowchart of a method for generating social content provided in an exemplary embodiment of the present application, which is described by taking the method as an example and applied to a terminal, as shown in fig. 2, the method includes:
step 201, receiving a sensitive operation of a first account, where the sensitive operation is used to implement exchange of resources with a second account.
Optionally, in the embodiment of the present application, a sensitive operation is implemented as a payment operation, which is described as an example.
Optionally, the payment operation of the first account includes any one of the following operation modes:
firstly, in an online lower payment environment, a terminal indicates a merchant (namely a second account) to scan a payment code for collection by showing the form of the payment code, and when the merchant scans the payment code, the operation of the merchant is used as the payment operation of a first account;
secondly, in an online payment environment, the terminal pays the exchange resources to the merchant in a mode of scanning a collection code provided by the merchant, and then the operation of scanning the collection code by the terminal is used as the payment operation of the first account;
thirdly, in an online payment environment, after a terminal selects a commodity, the terminal selects to purchase the commodity, jumps to an order page for completing purchase, and after a payment control is selected in the order page, pays exchange resources to a merchant, and then, takes the selection operation of the payment control as the payment operation of the first account;
fourthly, in an online payment environment, after the terminal selects the transfer option, inputting a second account and determining the transfer control, and then paying the exchange resource to the second account, wherein the selection operation of the transfer control is used as the payment operation of the first account.
Optionally, after the payment operation is received, the payment of the exchange resource is completed by performing identity authentication on the first account, where in this embodiment of the application, the description is given by taking an example in which the identity authentication is completed by acquiring biometric information corresponding to the first account.
Optionally, the second account may be implemented as a merchant account, or may also be implemented as a common account, in this embodiment of the application, the second account is implemented as a merchant account, which is described as an example, that is, the first account is a user account, and the second account is a merchant account, and the user account pays exchange resources to the merchant account in a process of purchasing a commodity corresponding to the merchant account.
Step 202, in response to the sensitive operation, collecting biometric information of the first account, where the biometric information is information used by the first account for identity verification in the sensitive operation process.
Optionally, the biometric information is information collected by the terminal and used for identity authentication to ensure security, that is, after the biometric information is collected by the terminal, the biometric information is authenticated, and if the authentication passes, the exchange resource payment from the first account to the second account is completed. Optionally, the terminal stores preset reference biometric information, matches the acquired biometric information with the reference biometric information, and if the matching is successful, the identity authentication is passed.
Optionally, the collection of the biometric information is further used for generating social content and instructing the first account to post the generated social content in the social platform.
Step 203, social template information corresponding to the second account is acquired.
Optionally, the social template information includes account information corresponding to the second account.
Optionally, the social template information is a template uploaded to the server after the second account is set; or the social template information is a template obtained by combining initial template information and account information of the second account, wherein the initial template information is pre-stored in the server. Illustratively, the server pre-stores initial template information, the content to be filled in the initial template information is a name of a merchant, and the name of the merchant corresponding to the second account is filled in the initial template information to obtain social template information.
And step 204, combining the biological characteristic information with the social template information to generate social content.
Optionally, the social content is used to provide the first account with content published in the social platform. Optionally, the combination manner of the biometric information and the social template information includes at least one of a filling manner, a splicing manner, and a linking manner.
Each method is illustrated as follows:
1. filling the social contact template information into filling positions corresponding to the biological characteristic information in a filling mode, and generating social contact content;
such as: and if the social template information is a social template image and the biological characteristic information is a face recognition image, filling the face recognition image into a filling position in the social template image. Referring to fig. 3, for example, the social template information is implemented as a social template image 310, the biometric information is implemented as a face recognition image 320, the social template image 310 includes information 311 corresponding to the second account and filling bits 312, and the face recognition image 320 is filled into the filling bits 312 to obtain social content 330.
2. Splicing, namely splicing the social template information and the biological characteristic information to obtain social content, if the social template information and the biological characteristic information are the same type of information;
such as: and if the social template information is social template voice and the biological characteristic information is verification voice, splicing the social template voice and the verification voice.
3. And a link mode, namely, the social template information comprises a target control, and the target control is linked to the biological characteristic information to obtain social content.
Such as: and if the social template information is a social template image which comprises a target control, and the biological characteristic information is verification voice, linking the target control to the verification voice to obtain social content, and playing the verification voice when the user selects the target control. Illustratively, referring to fig. 4, if the social template information is implemented as a social template image 410, the biometric information is implemented as a verification voice 420, and the social template image 410 includes information 411 corresponding to the second account and a voice playing control 412, the verification voice 420 is linked to the voice playing control 412, and the social content 430 is generated.
In summary, according to the method for generating social content provided by the embodiment of the application, when the user performs the sensitive operation verification through the biological characteristic information, the social content is generated according to the biological characteristic information and the social template information, so that the user can directly publish the automatically generated social content, the complex process of editing the comment content and publishing the comment content on a specific platform is avoided, and the generation and publishing efficiency of the social content is improved.
In an alternative embodiment, the biometric information includes at least one of a face recognition image, a verification voice, and an iris recognition image. Fig. 5 is a flowchart of a method for generating social content according to another exemplary embodiment of the present application, which is described by taking the method as an example for being applied to a terminal, and as shown in fig. 5, the method includes:
step 501, receiving a sensitive operation of a first account, where the sensitive operation is used to implement exchange of resources with a second account.
Optionally, in the embodiment of the present application, a sensitive operation is implemented as a payment operation, which is described as an example.
Optionally, after the payment operation is received, the payment of the exchange resource is completed by performing identity authentication on the first account, where in this embodiment of the application, the description is given by taking an example in which the identity authentication is completed by acquiring biometric information corresponding to the first account.
Optionally, the second account may be implemented as a merchant account, or may also be implemented as a common account, in this embodiment of the application, the second account is implemented as a merchant account, which is described as an example, that is, the first account is a user account, and the second account is a merchant account, and the user account pays exchange resources to the merchant account in a process of purchasing a commodity corresponding to the merchant account.
Step 502, in response to the sensitive operation, collecting biometric information of the first account, where the biometric information is information used by the first account for identity verification in the sensitive operation process.
Optionally, the biometric information is information collected by the terminal and used for identity authentication to ensure security, that is, after the biometric information is collected by the terminal, the biometric information is authenticated, and if the authentication passes, the exchange resource payment from the first account to the second account is completed.
Step 503, obtaining social template information corresponding to the second account.
Optionally, the social template information includes account information corresponding to the second account.
Optionally, the social template information includes at least one of a social template image and a social template voice.
Step 504, a face region in the face recognition image is obtained.
Optionally, the biometric information includes a face recognition image, that is, identity verification in the payment process is completed through face recognition, optionally, in the identity verification process, the face recognition is to collect a face contour through a depth camera and to identify and verify the face contour, and in the face recognition process, the face image is collected through the camera as the face recognition image.
The terminal can perform face recognition verification through a camera, and can also transmit a face recognition image to the terminal through the server after performing face recognition verification through specific face recognition equipment.
Optionally, when a face region in the face recognition image is obtained, the face recognition image is input into a face matting model, and the face region is output, wherein the face matting model is a machine learning model obtained by training a sample face image labeled with the sample face region in advance.
And 505, filling the face area into filling positions in the social template image to generate social content.
Optionally, the social template information includes a social template image, and the social template image includes a filling bit corresponding to the biometric information, that is, the social template image includes a filling bit corresponding to the face recognition image. And after a face area is obtained from the face recognition image, the face area is filled into the social template image to obtain social content.
Step 506, extracting the voice part in the verification voice.
Optionally, the biometric information includes a verification voice, i.e., the authentication in the payment process is completed by the verification voice. Optionally, in the identity authentication process, the identification authentication is completed by extracting voiceprint information of the authentication voice.
Optionally, when the human voice part is extracted from the verification speech, the payment verification speech is input into a human voice extraction model, and the human voice part is output, wherein the human voice extraction model is a machine learning model obtained by pre-training a sample speech marked with a sample human voice.
And step 507, filling the voice part into the filling position of the social template voice to generate social content.
Optionally, the social template information includes a social template voice, and the social template voice includes a specified location for inserting the verification voice, where the specified location is a filling bit of the verification voice. And after the voice part is obtained from the verification voice, inserting the voice part into the specified position to obtain the social content.
Optionally, the social content is implemented as a segment of social voice, that is, the social voice is obtained after the voice part is clipped to a specified area in the social template voice.
Step 508, link the voice playing control to the voice part, generating social content.
Optionally, the social template information includes a social template image, and a voice playing control is set in the social template image as a filling bit. When the voice part is filled in the filling position, the filling is finished in a mode that the voice playing control is connected to the voice part. Namely, after the voice part is obtained from the verification voice, the voice playing control is linked to the voice part to obtain social content, and when the voice playing control is selected by the user, the voice part is played.
In step 509, an eye region in the iris recognition image is acquired.
Optionally, the biometric information includes an iris recognition image, i.e., authentication during payment is performed through the iris recognition image. Optionally, in the authentication process, the camera acquires an iris recognition image of the user, and performs recognition and authentication on iris information in the iris recognition image.
Optionally, an image of the eye region is obtained from the iris recognition image, and the image of the eye region is used as the filling content filled into the social template image.
Step 510, the eye region is filled into the filling position in the social template image, and social content is generated.
Optionally, the social template information includes a social template image, and the social template image includes a filling bit corresponding to the biometric information, that is, the social template image includes a filling bit corresponding to the eye image. And after the eye region is obtained from the iris recognition image, filling the eye region into the social template image to obtain social content.
Referring to fig. 6, schematically, the social template image 610 includes filling positions 611, and after an eye region 621 in the iris recognition image 620 is obtained, the eye region 621 is filled into the filling positions 611 to obtain social content 630.
In summary, according to the method for generating social content provided by the embodiment of the application, when the user performs the sensitive operation verification through the biological characteristic information, the social content is generated according to the biological characteristic information and the social template information, so that the user can directly publish the automatically generated social content, the complex process of editing the comment content and publishing the comment content on a specific platform is avoided, and the generation and publishing efficiency of the social content is improved.
According to the method provided by the embodiment, when the user completes the sensitive operation verification through face recognition, the face recognition image is combined with the social contact template information to generate the social contact content, so that the social contact content is automatically generated according to the face recognition process and provided for the first account to be published, and the generation efficiency of the social contact content is improved.
According to the method provided by the embodiment, when the user completes the sensitive operation verification through voice recognition, the voice part is combined with the social contact template information to generate the social contact content, so that the social contact content is automatically generated according to the voice recognition process and provided for the first account to be published, and the generation efficiency of the social contact content is improved.
According to the method provided by the embodiment, when the user completes the sensitive operation verification through the iris recognition, the iris recognition image is combined with the social contact template information to generate the social contact content, so that the social contact content is automatically generated according to the face recognition process and provided for the first account to be published, and the generation efficiency of the social contact content is improved.
In an alternative embodiment, the user can make a selection determination for the generated social content, thereby publishing the social content in the social platform and obtaining a corresponding content publishing reward. Fig. 7 is a flowchart of a method for generating social content according to an exemplary embodiment of the present application, which is described by taking the method as an example for being applied to a terminal, and as shown in fig. 7, the method includes:
step 701, receiving a sensitive operation of a first account, where the sensitive operation is used to implement exchange of resources with a second account.
Optionally, in the embodiment of the present application, a sensitive operation is implemented as a payment operation, which is described as an example.
Optionally, after the payment operation is received, the payment of the exchange resource is completed by performing identity authentication on the first account, where in this embodiment of the application, the description is given by taking an example in which the identity authentication is completed by acquiring biometric information corresponding to the first account.
Optionally, the second account may be implemented as a merchant account, or may also be implemented as a common account, in this embodiment of the application, the second account is implemented as a merchant account, which is described as an example, that is, the first account is a user account, and the second account is a merchant account, and the user account pays exchange resources to the merchant account in a process of purchasing a commodity corresponding to the merchant account.
Step 702, in response to the sensitive operation, collecting biometric information of the first account, where the biometric information is information used by the first account for identity verification in the sensitive operation process.
Optionally, the biometric information is information collected by the terminal and used for identity authentication to ensure security, that is, after the biometric information is collected by the terminal, the biometric information is authenticated, and if the authentication passes, the exchange resource payment from the first account to the second account is completed.
Step 703, obtaining social template information corresponding to the second account.
Optionally, the social template information includes account information corresponding to the second account.
Optionally, the social template information includes at least one of a social template image and a social template voice.
Step 704, combining the biometric information with the social template information to generate social content.
Optionally, the combination manner of the biometric information and the social template information includes at least one of a filling manner, a splicing manner, and a linking manner.
Step 705, a content publishing operation is received, where the content publishing operation is used for publishing social content in the social platform by using the first account.
Optionally, after generating the social content, displaying a social content posting prompt message, and displaying a social content posting interface when receiving a selection operation on the prompt message, where the social content posting interface includes a posting control, and when receiving the selection operation on the posting control, posting the social content in the social platform with the first account as the posting account.
Illustratively, referring to fig. 8, the generated social content 810 and a posting control 820 are included in the social content posting interface 800, and when a click operation on the posting control 820 is received, the social content 810 is posted to the social platform.
And step 706, responding to the content publishing operation, and displaying the content publishing reward information.
Optionally, the content publishing reward information is information corresponding to a content publishing reward set by the second account, that is, when the first account publishes the social content to the social platform, the content publishing reward set by the second account is provided to the first account.
Referring to fig. 9, schematically, in the process, a face device 910 and a merchant platform 920 are included, where the merchant platform 920 sends a social image template to the face device 910 to generate social content, and sends a issued reward to the face device 910 for reward after the user issues the social content.
In summary, according to the method for generating social content provided by the embodiment of the application, when the user performs the sensitive operation verification through the biological characteristic information, the social content is generated according to the biological characteristic information and the social template information, so that the user can directly publish the automatically generated social content, the complex process of editing the comment content and publishing the comment content on a specific platform is avoided, and the generation and publishing efficiency of the social content is improved.
Referring to fig. 10, schematically, an overall flowchart of a process for generating social content according to an exemplary embodiment of the present application is shown, and as shown in fig. 10, the process includes:
step 1001, the user performs face brushing payment.
Optionally, the user performs identity verification in the payment process in a face recognition authentication mode, that is, the user acquires a face image through a camera for verification.
And step 1002, recognizing the face image.
In the payment verification process, the face image is identified.
Step 1003, confirming the user identity information.
Step 1004, payment is completed.
Optionally, when the face image recognition is successful, the payment process is completed.
Step 1005, determining whether the merchant configures the template.
Optionally, after the user performs face brushing payment and acquires a face image, whether a social template image is set in a merchant corresponding to the payment is judged.
Step 1006, when the merchant configures the template, the face is scratched and synthesized to the template.
When the merchant sets the social template information, the face part is obtained by matting from the face image and is synthesized to the social template image to obtain the social image.
Step 1007, preview the picture and inquire whether to publish the picture.
Optionally, the picture publishing query information is displayed on the terminal interface, and after the user confirms the query information, the social picture is published in the social platform.
Step 1008, publishing the picture based on the user identity information.
At step 1009, it is determined whether there is a merchant award.
Optionally, after the user posts the social image, it is determined whether the merchant is provided with a social content posting reward correspondingly.
When a merchant award is present, the award is sent to the user, step 1010.
In summary, according to the method for generating social content provided by the embodiment of the application, when the user performs the sensitive operation verification through the biological characteristic information, the social content is generated according to the biological characteristic information and the social template information, so that the user can directly publish the automatically generated social content, the complex process of editing the comment content and publishing the comment content on a specific platform is avoided, and the generation and publishing efficiency of the social content is improved.
Fig. 11 is a block diagram illustrating a structure of an apparatus for generating social content according to an exemplary embodiment of the present application, where the apparatus includes, as shown in fig. 11:
a receiving module 1110, configured to receive a sensitive operation of a first account, where the sensitive operation is used to implement exchange of resources with a second account;
the acquisition module 1120 is configured to acquire, in response to the sensitive operation, biometric information of the first account, where the biometric information is information used by the first account for identity verification in the sensitive operation process;
an obtaining module 1130, configured to obtain social template information corresponding to the second account, where the social template information includes account information corresponding to the second account;
a generating module 1140, configured to combine the biometric information with the social template information to generate the social content, where the social content is used to provide the first account with content published in a social platform.
In an optional embodiment, the social template information includes a padding corresponding to the biometric information;
the generating module 1140 is further configured to fill the biometric information into the filling bits to generate the social content.
In an alternative embodiment, the biometric information comprises a face recognition image, and the social template information comprises a social template image;
the obtaining module 1130 is further configured to obtain a face region in the face recognition image;
the generating module 1140 is further configured to fill the face region into the filling position in the social template image, and generate the social content.
In an optional embodiment, the obtaining module 1130 is further configured to input the face recognition image into a face matting model, and output the face matting model to obtain the face region, where the face matting model is a machine learning model obtained by pre-training a sample face image labeled with a sample face region.
In an alternative embodiment, the biometric information includes an authentication voice, and the social template information includes a social template voice;
the obtaining module 1130 is further configured to extract a voice part in the verification voice;
the generating module 1140 is further configured to fill the vocal part into the filling bits of the social template voice to generate the social content.
In an optional embodiment, the biometric information includes verification voice, the social template information includes a social template image, and a voice playing control is set in the social template image as the filling bit;
the obtaining module 1130 is further configured to extract a voice part in the verification voice;
the generating module 1140 is further configured to link the voice playing control to the voice part to generate the social content.
In an alternative embodiment, the biometric information comprises an iris recognition image, and the social template information comprises a social template image;
the acquiring module 1130 is further configured to acquire an eye region in the iris recognition image;
the generating module 1140 is further configured to fill the eye region into the filling position in the social template image, and generate the social content.
In an optional embodiment, the receiving module 1110 is further configured to receive a content publishing operation, where the content publishing operation is configured to publish the social content in the social platform with the first account;
the device, still include:
a display module 1150, configured to display content distribution reward information in response to the content distribution operation, where the content distribution reward information is information corresponding to a content distribution reward set by the second account.
In summary, the device for generating social content provided in the embodiment of the present application generates social content according to the biometric information and the social template information when the user performs the sensitive operation verification through the biometric information, so that the user can directly publish the automatically generated social content, the complicated process of editing the comment content and publishing the comment content on a specific platform is avoided, and the generation and publishing efficiency of the social content is improved.
It should be noted that: the social content generating apparatus provided in the above embodiment is only illustrated by dividing the above functional modules, and in practical applications, the above functions may be distributed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the above-described content.
The application further provides a terminal, which includes a processor and a memory, where the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the steps executed by the first terminal or the steps executed by the second terminal in the virtual environment-based skill release method provided by the above-mentioned method embodiments. It should be noted that the terminal may be a terminal as provided in fig. 13 below.
Fig. 13 shows a block diagram of a terminal 1300 according to an exemplary embodiment of the present application. The terminal 1300 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio layer iii, motion video Experts compression standard Audio layer 3), an MP4 player (Moving Picture Experts Group Audio layer IV, motion video Experts compression standard Audio layer 4), a notebook computer, or a desktop computer. Terminal 1300 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.
In general, terminal 1300 includes: a processor 1301 and a memory 1302.
Processor 1301 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 1301 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable logic Array). The processor 1301 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also referred to as a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 1301 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing content that the display screen needs to display. In some embodiments, processor 1301 may further include an AI (Artificial Intelligence) processor for processing computational operations related to machine learning.
Memory 1302 may include one or more computer-readable storage media, which may be non-transitory. The memory 1302 may also include high speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 1302 is used to store at least one instruction for execution by processor 1301 to implement the social content generation methods provided by method embodiments herein.
In some embodiments, terminal 1300 may further optionally include: a peripheral interface 1303 and at least one peripheral. Processor 1301, memory 1302, and peripheral interface 1303 may be connected by a bus or signal line. Each peripheral device may be connected to the peripheral device interface 1303 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 1304, touch display 1305, camera 1306, audio circuitry 1307, positioning component 1308, and power supply 1309.
Peripheral interface 1303 may be used to connect at least one peripheral associated with I/O (Input/Output) to processor 1301 and memory 1302. In some embodiments, processor 1301, memory 1302, and peripheral interface 1303 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 1301, the memory 1302, and the peripheral device interface 1303 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 1304 is used to receive and transmit RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 1304 communicates with communication networks and other communication devices via electromagnetic signals. The radio frequency circuit 1304 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 1304 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 1304 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 1304 may also include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display screen 1305 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 1305 is a touch display screen, the display screen 1305 also has the ability to capture touch signals on or over the surface of the display screen 1305. The touch signal may be input to the processor 1301 as a control signal for processing. At this point, the display 1305 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, display 1305 may be one, providing the front panel of terminal 1300; in other embodiments, display 1305 may be at least two, either on different surfaces of terminal 1300 or in a folded design; in still other embodiments, display 1305 may be a flexible display disposed on a curved surface or on a folded surface of terminal 1300. Even further, the display 1305 may be arranged in a non-rectangular irregular figure, i.e., a shaped screen. The Display 1305 may be made of LCD (Liquid Crystal Display), OLED (Organic Light-Emitting Diode), or the like.
The camera assembly 1306 is used to capture images or video. Optionally, camera assembly 1306 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 1306 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
The audio circuit 1307 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 1301 for processing, or inputting the electric signals to the radio frequency circuit 1304 for realizing voice communication. For stereo capture or noise reduction purposes, multiple microphones may be provided, each at a different location of terminal 1300. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 1301 or the radio frequency circuitry 1304 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 1307 may also include a headphone jack.
The positioning component 1308 is used for positioning the current geographic position of the terminal 1300 to implement navigation or LBS (location based Service). The positioning component 1308 can be a positioning component based on the GPS (global positioning System) of the united states, the beidou System of china, or the galileo System of russia.
Power supply 1309 is used to provide power to various components in terminal 1300. The power source 1309 may be alternating current, direct current, disposable or rechargeable. When the power source 1309 comprises a rechargeable battery, the rechargeable battery may be a wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, terminal 1300 also includes one or more sensors 1310. The one or more sensors 1310 include, but are not limited to: acceleration sensor 1311, gyro sensor 1312, pressure sensor 1313, fingerprint sensor 1314, optical sensor 1315, and proximity sensor 1316.
The acceleration sensor 1311 can detect the magnitude of acceleration on three coordinate axes of the coordinate system established with the terminal 1300. For example, the acceleration sensor 1311 may be used to detect components of gravitational acceleration in three coordinate axes. The processor 1301 may control the touch display screen 1305 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 1311. The acceleration sensor 1311 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 1312 may detect the body direction and the rotation angle of the terminal 1300, and the gyro sensor 1312 may cooperate with the acceleration sensor 1311 to acquire a 3D motion of the user with respect to the terminal 1300. Processor 1301, based on the data collected by gyroscope sensor 1312, may perform the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
Pressure sensor 1313 may be disposed on a side bezel of terminal 1300 and/or underlying touch display 1305. When the pressure sensor 1313 is disposed on the side frame of the terminal 1300, a user's holding signal to the terminal 1300 may be detected, and the processor 1301 performs left-right hand recognition or shortcut operation according to the holding signal acquired by the pressure sensor 1313. When the pressure sensor 1313 is disposed at a lower layer of the touch display screen 1305, the processor 1301 controls an operability control on the UI interface according to a pressure operation of the user on the touch display screen 1305. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.
The fingerprint sensor 1314 is used for collecting the fingerprint of the user, and the processor 1301 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 1314, or the fingerprint sensor 1314 identifies the identity of the user according to the collected fingerprint. When the identity of the user is identified as a trusted identity, the processor 1301 authorizes the user to perform relevant sensitive operations, including unlocking a screen, viewing encrypted information, downloading software, paying, changing settings, and the like. The fingerprint sensor 1314 may be disposed on the front, back, or side of the terminal 1300. When a physical button or vendor Logo is provided on the terminal 1300, the fingerprint sensor 1314 may be integrated with the physical button or vendor Logo.
The optical sensor 1315 is used to collect the ambient light intensity. In one embodiment, the processor 1301 can control the display brightness of the touch display screen 1305 according to the intensity of the ambient light collected by the optical sensor 1315. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 1305 is increased; when the ambient light intensity is low, the display brightness of the touch display 1305 is turned down. In another embodiment, the processor 1301 can also dynamically adjust the shooting parameters of the camera assembly 1306 according to the ambient light intensity collected by the optical sensor 1315.
Proximity sensor 1316, also known as a distance sensor, is typically disposed on a front panel of terminal 1300. Proximity sensor 1316 is used to gather the distance between the user and the front face of terminal 1300. In one embodiment, the processor 1301 controls the touch display 1305 to switch from the bright screen state to the dark screen state when the proximity sensor 1316 detects that the distance between the user and the front face of the terminal 1300 gradually decreases; the touch display 1305 is controlled by the processor 1301 to switch from the rest state to the bright state when the proximity sensor 1316 detects that the distance between the user and the front face of the terminal 1300 gradually becomes larger.
Those skilled in the art will appreciate that the configuration shown in fig. 13 is not intended to be limiting with respect to terminal 1300 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be employed.
The memory further includes one or more programs, the one or more programs are stored in the memory, and the one or more programs include a generation method for performing social content provided by the embodiment of the present application.
The application provides a computer-readable storage medium, in which at least one instruction is stored, and the at least one instruction is loaded and executed by the processor to implement the social content generating method provided by the above method embodiments.
The present application also provides a computer program product, which when running on a computer, causes the computer to execute the method for generating social content provided by the above method embodiments.
The above-mentioned serial numbers of the embodiments of the present application are merely for description and do not represent the merits of the embodiments.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.

Claims (14)

1. A method for generating social content, the method comprising:
receiving sensitive operation of a first account, wherein the sensitive operation is used for realizing exchange of exchange resources with a second account;
responding to the sensitive operation, and acquiring biological characteristic information of the first account, wherein the biological characteristic information is used for identity verification of the first account in the sensitive operation process;
acquiring social template information corresponding to the second account, wherein the social template information comprises account information corresponding to the second account;
and combining the biological characteristic information with the social template information to generate the social content, wherein the social content is used for providing the content published in a social platform for the first account.
2. The method of claim 1, wherein the social template information includes padding bits corresponding to the biometric information;
the combining the biometric information with the social template information to generate the social content comprises:
and filling the biological characteristic information into the filling positions to generate the social content.
3. The method of claim 2, wherein the biometric information comprises a face recognition image and the social template information comprises a social template image;
the populating the biometric information to the padding bits to generate the social content includes:
acquiring a face area in the face recognition image;
and filling the face area into the filling position in the social template image to generate the social content.
4. The method of claim 3, wherein the obtaining the face region in the face recognition image comprises:
and inputting the face recognition image into a face matting model, and outputting to obtain the face region, wherein the face matting model is a machine learning model obtained by pre-training a sample face image marked with a sample face region.
5. The method of claim 2, wherein the biometric information comprises an authentication voice, and wherein the social template information comprises a social template voice;
the populating the biometric information to the padding bits to generate the social content includes:
extracting a human voice part in the verification voice;
and filling the voice part into the filling position of the social template voice to generate the social content.
6. The method of claim 2, wherein the biometric information comprises verification speech, the social template information comprises a social template image, and a speech playing control is arranged in the social template image as the filling bit;
the populating the biometric information to the padding bits to generate the social content includes:
extracting a human voice part in the verification voice;
and linking the voice playing control to the voice part to generate the social content.
7. The method of claim 2, wherein the biometric information comprises an iris recognition image, and the social template information comprises a social template image;
the populating the biometric information to the padding bits to generate the social content includes:
acquiring an eye region in the iris recognition image;
and filling the eye region into the filling position in the social template image to generate the social content.
8. The method of any of claims 1 to 7, wherein after generating the social content, further comprising:
receiving a content publishing operation, wherein the content publishing operation is used for publishing the social content in the social platform by the first account;
and responding to the content issuing operation, and displaying content issuing reward information which is information corresponding to the content issuing reward set by the second account.
9. An apparatus for generating social content, the apparatus comprising:
the receiving module is used for receiving sensitive operation of the first account, and the sensitive operation is used for realizing exchange of exchange resources with the second account;
the acquisition module is used for responding to the sensitive operation and acquiring the biological characteristic information of the first account, wherein the biological characteristic information is used for identity verification of the first account in the sensitive operation process;
an obtaining module, configured to obtain social template information corresponding to the second account, where the social template information includes account information corresponding to the second account;
and the generating module is used for combining the biological characteristic information with the social template information to generate the social content, and the social content is used for providing the content published in a social platform for the first account.
10. The apparatus of claim 9, wherein padding bits corresponding to the biometric information are included in the social template information;
the generating module is further configured to fill the biometric information into the filling bits, and generate the social content.
11. The apparatus of claim 10, wherein the biometric information comprises a face recognition image and the social template information comprises a social template image;
the acquisition module is further used for acquiring a face area in the face recognition image;
the generating module is further configured to fill the face region into the filling bits in the social template image, and generate the social content.
12. The apparatus of claim 11, wherein the obtaining module is further configured to input the face recognition image into a face matting model, and output the face recognition image to obtain the face region, and the face matting model is a machine learning model obtained by pre-training a sample face image labeled with a sample face region.
13. A computer device comprising a processor and a memory, the memory having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, the at least one instruction, the at least one program, the set of codes, or the set of instructions being loaded and executed by the processor to implement the method of generating social content of any one of claims 1 to 8.
14. A computer-readable storage medium, having stored therein at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the method of generating social content according to any one of claims 1 to 8.
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