CN114168775A

CN114168775A - Characteristic information acquisition method and device, storage medium and electronic equipment

Info

Publication number: CN114168775A
Application number: CN202111500142.0A
Authority: CN
Inventors: 刘建壮
Original assignee: Guangzhou Boguan Information Technology Co Ltd
Current assignee: Guangzhou Boguan Information Technology Co Ltd
Priority date: 2021-12-09
Filing date: 2021-12-09
Publication date: 2022-03-11

Abstract

The present disclosure relates to the field of computer technologies, and in particular, to a method and an apparatus for obtaining feature information, a computer-readable storage medium, and an electronic device, where the method includes: acquiring image information and determining characteristic information corresponding to the image information; and uploading the image information and the characteristic information corresponding to the image information to a server, so that the second client can obtain the characteristic information corresponding to the image information from the server according to a preset operation. By the technical scheme of the embodiment of the disclosure, the problem of long time consumption in the process of inquiring the characteristic information of the video or the image can be solved.

Description

Characteristic information acquisition method and device, storage medium and electronic equipment

Technical Field

The present disclosure relates to the field of computer technologies, and in particular, to a feature information acquisition method, a feature information acquisition apparatus, a computer-readable storage medium, an electronic device, and a feature information acquisition system.

Background

With the rapid development of the internet and terminal devices, people can contact various images or videos and obtain information desired by themselves according to the images or videos when using the internet.

In some scenarios, when a user sees an image or a video, the user wants to know the feature information corresponding to the image or the video, but the user has little knowledge about the content in the image or the video, so that the user cannot perform a query, and only asks other users to know the content or spend a lot of time to perform a broad query. However, the solutions in the prior art may not be able to get a response in time when inquiring other users, and other users may not know the content in the image or video, and in addition, it takes a lot of time to perform a broad inquiry, and the result obtained by the inquiry is not necessarily correct.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The present disclosure is directed to a method and an apparatus for obtaining feature information, a computer-readable storage medium, and an electronic device, which can solve the problem of long time consumption for querying feature information of a video or an image.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

According to a first aspect of the present disclosure, a method for obtaining feature information is provided, which is applied to a first client, and includes: acquiring image information and determining characteristic information corresponding to the image information; and uploading the image information and the characteristic information corresponding to the image information to a server, so that the second client can obtain the characteristic information corresponding to the image information from the server according to a preset operation.

Optionally, determining feature information corresponding to the image information includes: and acquiring user information corresponding to the first client, and determining the user information corresponding to the first client as characteristic information corresponding to the image information.

Optionally, determining the user information corresponding to the first client as the feature information corresponding to the image information includes: acquiring face features corresponding to the image information through face recognition; obtaining a feature identifier of the image according to the face feature corresponding to the image information; and determining the user information corresponding to the first client as the characteristic information corresponding to the characteristic identifier of the image.

Optionally, uploading the image information and the feature information corresponding to the image information to a server, including: and uploading the feature identification of the image and the feature information corresponding to the feature identification of the image to a server.

Optionally, the obtaining of the feature information corresponding to the image information includes: and acquiring a label field input when the image information is uploaded in the first client, and determining the label field as the characteristic information corresponding to the image information.

Optionally, the obtaining of the feature information corresponding to the image information includes: and acquiring fields contained in the image information through character recognition, and determining the fields as the characteristic information corresponding to the image information.

Optionally, the obtaining of the feature information corresponding to the image information includes: and acquiring a retrieval field corresponding to the image information, and determining the retrieval field as the characteristic information corresponding to the image information.

According to a second aspect of the present disclosure, there is provided a feature information obtaining method, applied to a second client, including: responding to preset operation, sending a characteristic information viewing request associated with the image information to the server, so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information; receiving characteristic information corresponding to the image information sent by the server; and displaying the characteristic information corresponding to the image information.

Optionally, the feature information viewing request includes a feature identifier of the image.

According to a third aspect of the present disclosure, there is provided a feature information acquiring method, applied to a server, including: receiving image information uploaded by a first client and characteristic information corresponding to the image information; receiving a characteristic information viewing request which is sent by a second client and is associated with the image information, and searching characteristic information corresponding to the image information according to the characteristic information viewing request which is associated with the image information; and sending the characteristic information corresponding to the image information to the second client so that the second client can display the characteristic information corresponding to the image information.

Optionally, the image information is an image, and the feature information corresponding to the image information is searched according to the feature information viewing request associated with the image information, including: acquiring a feature identifier of an image corresponding to the feature information viewing request; and searching the characteristic information corresponding to the characteristic identifier of the image according to the characteristic identifier of the image.

According to a fourth aspect of the present disclosure, there is provided a feature information acquiring apparatus, applied to a first client, the apparatus including: the image information acquisition module is used for acquiring image information and determining characteristic information corresponding to the image information; the characteristic information uploading module is used for uploading the image information and the characteristic information corresponding to the image information to the server so that the second client can obtain the characteristic information corresponding to the image information from the server according to the preset operation.

According to a fifth aspect of the present disclosure, there is provided a feature information acquiring apparatus, applied to a second client, the apparatus including: the preset operation response module is used for responding to the preset operation and sending a characteristic information viewing request associated with the image information to the server so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information; the characteristic information receiving module is used for receiving characteristic information corresponding to the image information sent by the server; and the characteristic information display module is used for displaying the characteristic information corresponding to the image information.

According to a sixth aspect of the present disclosure, there is provided a feature information acquiring apparatus, which is applied to a server, the apparatus including: the image information receiving module is used for receiving image information uploaded by the first client and characteristic information corresponding to the image information; the viewing request receiving module is used for receiving a characteristic information viewing request which is sent by a second client and is associated with the image information, and searching characteristic information corresponding to the image information according to the characteristic information viewing request which is associated with the image information; and the characteristic information sending module is used for sending the characteristic information corresponding to the image information to the second client so that the second client can display the characteristic information corresponding to the image information.

According to a seventh aspect of the present disclosure, there is provided a computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the feature information acquisition method of the first aspect as in the above embodiments.

According to an eighth aspect of the present disclosure, there is provided an electronic apparatus comprising:

a processor; and

a memory for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the feature information acquisition method according to the first aspect as in the above embodiments.

According to an eighth aspect of the present disclosure, there is provided a feature information acquisition system including:

the first client is used for acquiring image information, determining characteristic information corresponding to the image information, and uploading the image information and the characteristic information corresponding to the image information to the server, so that the second client can acquire the characteristic information corresponding to the image information from the server according to preset operation;

the second client is used for responding to the preset operation, sending a characteristic information viewing request associated with the image information to the server, so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information, and receiving the characteristic information corresponding to the image information sent by the server; displaying characteristic information corresponding to the image information;

the server is used for receiving the image information uploaded by the first client and the characteristic information corresponding to the image information, receiving a characteristic information viewing request which is sent by the second client and is associated with the image information, searching the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information, and sending the characteristic information corresponding to the image information to the second client so that the second client can display the characteristic information corresponding to the image information.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:

in the feature information obtaining method provided by an embodiment of the present disclosure, when uploading image information, a user may determine feature information according to the image information and upload the feature information to a server, and when viewing the image information, other users may query the feature information corresponding to the image information through the server. On one hand, when the user encounters an image or a video which is not understood, the user does not need to inquire other users, so that the problem of long-time waiting is avoided, and the user can know the related content of the image or the video in time; on the other hand, the image or the video does not need to be extensively inquired in a large amount of time, so that the time of a user is saved, and the authenticity of an inquiry result can be ensured.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

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. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:

fig. 1 schematically illustrates a flowchart of a feature information acquisition method in an exemplary embodiment of the present disclosure;

fig. 2 schematically illustrates a flowchart of determining user information corresponding to a first client as feature information corresponding to a feature identifier of an image in an exemplary embodiment of the present disclosure;

fig. 3 schematically illustrates a flowchart of another feature information acquisition method in an exemplary embodiment of the present disclosure;

fig. 4 schematically illustrates a flowchart of still another feature information acquisition method in an exemplary embodiment of the present disclosure;

FIG. 5 schematically shows a flowchart of searching for feature information corresponding to a feature identifier of an image according to the feature identifier of the image in an exemplary embodiment of the present disclosure;

fig. 6 schematically illustrates a flowchart of yet another feature information acquisition method in an exemplary embodiment of the present disclosure;

fig. 7 schematically illustrates a composition diagram of a feature information acquisition apparatus in an exemplary embodiment of the present disclosure;

fig. 8 schematically shows a composition diagram of another feature information acquisition apparatus in an exemplary embodiment of the present disclosure;

fig. 9 schematically illustrates a composition diagram of still another feature information acquisition apparatus in an exemplary embodiment of the present disclosure;

fig. 10 schematically illustrates a structural diagram of a computer system suitable for use in an electronic device to implement an exemplary embodiment of the present disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known structures, methods, devices, implementations, materials, or operations are not shown or described in detail to avoid obscuring aspects of the disclosure.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. That is, these functional entities may be implemented in the form of software, or in one or more software-hardened modules, or in different networks and/or processor devices and/or microcontroller devices.

In some scenarios, when a user sees an image or a video, the user wants to know the feature information corresponding to the image or the video, but the user has little knowledge about the content in the image or the video, so that the user cannot perform a query, and only asks other users to know the content or spend a lot of time to perform a broad query. For example, when a user sees a game image, the user wants to know who a character in the game image is, but cannot inquire about the game because the user does not know about the game.

In the prior art, when inquiring other users, the user may not be able to get a response in time, and other users may not know the content in the image or video, and in addition, it takes a lot of time to perform a wide inquiry, and the result obtained by the inquiry is not necessarily correct.

In an example embodiment of the present disclosure, the image information may be acquired, the feature information corresponding to the image information is determined, and the image information and the feature information corresponding to the image information are uploaded to the server, so that the second client acquires the feature information corresponding to the image information from the server according to a preset operation. Referring to fig. 1, a flowchart illustrating a feature information obtaining method in the present exemplary embodiment may include the following steps:

step S110: acquiring image information and determining characteristic information corresponding to the image information;

step S120: and uploading the image information and the characteristic information corresponding to the image information to a server, so that the second client can obtain the characteristic information corresponding to the image information from the server according to a preset operation.

In an example embodiment of the present disclosure, when uploading image information, a user may determine feature information according to the image information and upload the feature information to a server, and when viewing the image information, other users may query the feature information corresponding to the image information through the server. On one hand, when the user encounters an image or a video which is not understood, the user does not need to inquire other users, so that the problem of long-time waiting is avoided, and the user can know the related content of the image or the video in time; on the other hand, the image or the video does not need to be extensively inquired in a large amount of time, so that the time of a user is saved, and the authenticity of an inquiry result can be ensured.

Next, steps S110 to S120 of the feature information acquisition method in the present exemplary embodiment will be described in more detail with reference to fig. 1 and the embodiment.

Step S110, acquiring image information and determining characteristic information corresponding to the image information;

in an example embodiment of the present disclosure, image information may be acquired, and feature information corresponding to the image information may be determined. The image information may include an image or a video, and the first client is a display device having a data transmission function, such as a mobile terminal, a television, a computer, a handheld computer, and the like. Specifically, the image information may be uploaded to the first client, and feature information corresponding to the image information may be acquired. The feature information corresponding to the image information may be used to indicate content related to the image information. For example, the feature information may include information of a person in the image or video, a search term for searching the image or video, a tag of the image or video, information of an author of the image or video, and the like. In the present disclosure, specific types of the feature information corresponding to the image information are not particularly limited.

In an example embodiment of the present disclosure, after the image information is acquired, feature information corresponding to the image information may be determined according to the image information. Specifically, the feature information corresponding to the image information may be determined according to the source of the image or the video.

For example, the feature information corresponding to the image information is information of a person in an image or a video, and at this time, the feature information corresponding to the image information can be checked according to a tag given to the image by an uploading user, and the feature information corresponding to the image information is determined according to a checking result; for another example, the feature information corresponding to the image information is a search term for searching an image or a video, and at this time, search terms of other users searching the image or the video may be collected and determined as the feature information corresponding to the image information; for another example, the feature information corresponding to the image information is information of an originator of the image or the video, at this time, information of the originator uploading the image or the video may be acquired, and the information of the originator may be determined as the feature information corresponding to the image information. In the present disclosure, a specific manner of determining the feature information corresponding to the video information based on the video information is not particularly limited.

Step S120, the image information and the feature information corresponding to the image information are uploaded to the server, so that the second client can obtain the feature information corresponding to the image information from the server according to a preset operation.

In an example embodiment of the present disclosure, after the feature information corresponding to the image information is obtained through the above steps, the image information and the feature information corresponding to the image information may be uploaded to a server. The server may be configured to store the image information uploaded by the first client and the feature information corresponding to the image information, and may send the feature information corresponding to the image information to the second client in response to a preset operation of the second client.

In an example embodiment of the present disclosure, user information corresponding to the first client may be acquired, and the user information corresponding to the first client is determined as feature information corresponding to the image information.

Specifically, when a user uploads an image or a video in a first client, user information corresponding to the first client uploading the image or the video may be acquired. Specifically, the user information corresponding to the first client may include information of a user who uploads an image or a video, or may also include user information of an account that is logged in the first client. The user information corresponding to the first client may include a name, an age, a birthday, an authoring number, a location, and the like. When the user of the second client wants to know the user information corresponding to the first client that uploads the image information, the scheme of this embodiment may be adopted.

It should be noted that, the present disclosure does not make any special limitation on the specific type of the user information corresponding to the first client.

Furthermore, the identity of the person in the image information uploaded by the first client is the same as the identity of the user of the first client, that is, the user uploading the image information at the first client is the person in the uploaded image information. When the second client wants to know the user information of the person in the image information, the second client can acquire the characteristic information corresponding to the image information, namely the user information corresponding to the first client. For example, when a user of a first client uploads a self-timer and the user of a second client sees the self-timer, the user of the second client wants to know the user information of a character in the self-timer, and at this time, the user information corresponding to the first client can be determined as the feature information corresponding to the image information, so that the user of the second client can obtain the user information corresponding to the first client corresponding to the image information from the server according to a preset operation.

In an example embodiment of the present disclosure, a face feature corresponding to image information may be obtained through face recognition, a feature identifier of an image is obtained according to the face feature corresponding to the image information, and user information corresponding to a first client is determined as feature information corresponding to the feature identifier of the image. Referring to fig. 2, determining the user information corresponding to the first client as the feature information corresponding to the feature identifier of the image may include the following steps S210 to S230:

step S210, acquiring face characteristics corresponding to image information through face recognition;

in an example embodiment of the present disclosure, a face feature corresponding to image information may be obtained through face recognition. Specifically, the image information may include an image or a video, and when the image information is an image, the face features corresponding to the image may be directly obtained through face recognition; when the image information is a video, at least one frame of image corresponding to the video can be obtained according to the video, and the face features corresponding to the image are obtained through face recognition.

Furthermore, multi-frame images corresponding to the video can be obtained, face features corresponding to the multi-frame images are obtained through face recognition, and the face features corresponding to the image information are determined according to the face features corresponding to the multi-frame images. For example, the average value of the face features of the multiple frames of images may be determined according to the face features corresponding to the multiple frames of images, and the average value of the face features of the multiple frames of images may be determined as the feature information corresponding to the image information.

When the face features corresponding to the image information are obtained through face recognition, a method based on geometric features, a eigenface method, a local feature method, a specific face subspace method, a hidden markov model method, and the like can be adopted. It should be noted that, in the present disclosure, a specific manner of obtaining the face features corresponding to the image information through face recognition is not particularly limited.

Step S220, obtaining a feature identifier of the image according to the face feature corresponding to the image information;

in an example embodiment of the present disclosure, after the face features corresponding to the image information are obtained through the above steps, the feature identifier of the image may be obtained according to the face features corresponding to the image information. Specifically, the feature identifier of the image may be used to indicate a face feature corresponding to the image information, that is, the face feature corresponding to the image information may be searched for through the feature identifier of the image.

For example, different numbers may be set for the face features corresponding to different image information, and the numbers are used as feature identifiers of images corresponding to the face features, or the face features corresponding to the image information may be converted into a specific format, and the face features after the format conversion are used as feature identifiers of images corresponding to the face features, for example, the face features corresponding to the image information may be converted into vector representations, and the vector representations may be determined as feature identifiers of images corresponding to the face features.

It should be noted that the present disclosure is not limited to a specific form of the feature identifier of the image.

In step S230, the user information corresponding to the first client is determined as feature information corresponding to the feature identifier of the image.

In an example embodiment of the present disclosure, after the user information corresponding to the first client and the feature identifier of the image are obtained through the above steps, the user information corresponding to the first client may be determined as the feature information corresponding to the feature identifier of the image. Specifically, the image information may be referred to as feature identifiers of the image, and the user information corresponding to the first client is used as the feature information corresponding to the image information, that is, the user information corresponding to the first client is determined as the feature information corresponding to the feature identifiers of the image.

In an example embodiment of the disclosure, after the user information corresponding to the first client is determined as the feature information corresponding to the feature identifier of the image, the feature identifier of the image and the feature information corresponding to the feature identifier of the image may be uploaded to the server, so that the second client may obtain the feature information corresponding to the feature identifier of the image from the server according to a preset operation.

Through the steps S210 to S230, the face features corresponding to the image information may be obtained through face recognition, the feature identifier of the image is obtained according to the face features corresponding to the image information, and the user information corresponding to the first client is determined as the feature information corresponding to the feature identifier of the image.

In some scenarios, after the user of the second client sees the video information, the user of the second client wants to perform a further search for the video information, but since the user of the second client has less knowledge about the content in the video information, it is difficult to think of a specific content to perform a search. In this case, the field related to the image information may be determined as the feature information corresponding to the image information.

In an example embodiment of the present disclosure, a tag field input when image information is uploaded in a first client may be obtained, and the tag field is determined as feature information corresponding to the image information. Specifically, when uploading the image information, the user of the first client may upload the tag field along with the image information, where the tag field may be used to indicate the main content of the image information. The tag field may be entered by the user of the first client, or the first client may provide a plurality of fields for the user of the first client to select. In the present disclosure, the generation method of the tag field is not particularly limited.

For example, a game video (image information) is uploaded by a first client, the game video mainly introduces skill and equipment selection of a character a, and a user of the first client can simultaneously input tag fields such as name of the character a, skill name of the character a, occupation type of the character a and the like when uploading the video, and at this time, the tag fields input by the user can be obtained, and the tag fields are determined as feature information of the image information. It should be noted that the specific content of the tag field is not specifically limited in this disclosure.

In an example embodiment of the present disclosure, a field included in the image information may be obtained through character recognition, and the field is determined as feature information corresponding to the image information. Specifically, a field included in the image information may be obtained by a text recognition technology, where the image information may include an image or a video, and when the image information is a video, at least one frame of image may be extracted from the video and text recognition may be performed on the image, or text recognition may be performed on all frame images of the video in a frame.

When the image information is an image, the characters in the image can be acquired through character recognition, and the fields contained in the image information are determined according to the characters. For example, the text in the image can be obtained by a template matching method and a geometric feature extraction method. The present disclosure is not limited to the specific manner of character recognition.

Specifically, the text in the image may include subtitles and text included in the image itself (e.g., a book, an advertisement, a text on paper, etc. in the image), and the text in the image may be acquired by text recognition, and then a field included in the image information may be determined according to the text.

For example, the text in the image may be determined as a field included in the image information; alternatively, words or phrases having a high frequency of occurrence of characters in the image may be acquired, and these words or phrases may be determined as fields included in the video information. In the present disclosure, a specific manner of acquiring the fields included in the image information by character recognition is not particularly limited.

For example, the first client uploads an advertisement image (video information) of an article, where the image includes an article name, an article price, and a purchase location of the article, and at this time, the article name, the article price, and the purchase location of the article in the image can be obtained through character recognition, and the obtained article name, article price, and purchase location of the article are used as fields included in the video information, and the fields are determined as feature information of the video information. It should be noted that the present disclosure does not specifically limit the specific contents of the fields.

In an example embodiment of the present disclosure, a search field corresponding to image information may be obtained, and the search field may be determined as feature information corresponding to the image information. The search field is a field used by another user when searching for video information. Specifically, after the image information is uploaded to the server by the first client, the search fields used by other users when searching for the image information may be obtained, and the search fields are determined as feature information corresponding to the image information, so that the user of the second client may obtain the search fields.

Further, all fields used by other users when searching for video information may be used as search fields corresponding to video information, or some fields selected from fields used by other users when searching for video information may be used as search fields corresponding to video information. For example, a field with a high frequency of appearance may be selected as a search field corresponding to video information from fields used by other users when searching for video information. In the present disclosure, a specific manner of acquiring the search field corresponding to the image information is not particularly limited.

For example, a cartoon video (image information) is uploaded by the first client, fields used by other users when searching the cartoon video, such as top wars, auss, king sea-scouring warns, road flights, earthquake fruits and the like, can be acquired at this time, fields with higher occurrence frequency can be selected as search fields corresponding to the image information, for example, 9 times of king sea-scouring warns, 5 times of top warns and 4 times of auss occur, and the three search fields can be determined as feature information of the image information. It should be noted that the specific content of the search field in the present disclosure is not particularly limited.

In an example embodiment of the present disclosure, a feature information viewing request associated with image information may be sent to a server in response to a preset operation, so that the server searches for feature information corresponding to the image information according to the feature information viewing request associated with the image information, receives the feature information corresponding to the image information sent by the server, and displays the feature information corresponding to the image information. Referring to fig. 3, a flowchart illustrating another feature information obtaining method in the present exemplary embodiment is shown, which may include the following steps:

step S310, responding to preset operation, sending a characteristic information viewing request associated with the image information to the server, so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information;

in an example embodiment of the present disclosure, a feature information viewing request associated with image information may be transmitted to a server in response to a preset operation. The image information may include an image or a video, and this embodiment may be applied to a second client, where a user of the second client refers to a user who watches the image information and needs to obtain feature information corresponding to the image information, and the second client is a display device having a data transmission function, such as a mobile terminal, a television, a computer, a palmtop computer, and the like. The preset operation may include a touch operation, an external device operation, a voice operation, and the like for the image information. It should be noted that the present disclosure is not limited to the specific form of the preset operation.

In an example embodiment of the present disclosure, a feature information viewing request associated with image information may be transmitted to a server in response to a preset operation. The characteristic information viewing request associated with the image information can be used for viewing the characteristic information corresponding to the image information. Specifically, after the server receives the feature information viewing request associated with the image information, the feature information corresponding to the image information may be searched according to the feature information viewing request associated with the image information. The characteristic information corresponding to the image information is uploaded to the server by the first client or is collected in the server after the image information is uploaded by the first client, and is stored in the server. It should be noted that the present disclosure is not limited to a specific form of the characteristic information viewing request associated with the image information.

Further, a feature information viewing request associated with the image information may be sent to the server in response to a preset operation of the feature information viewing area. For example, in a viewing interface of image information, a feature information viewing area is provided, and the feature information viewing area may receive a preset operation, and after receiving the preset operation, may send a feature information viewing request associated with the image information to a server. It should be noted that the specific form of the characteristic information viewing area is not particularly limited in the present disclosure.

Step S320, receiving feature information corresponding to the image information sent by the server;

in an example embodiment of the present disclosure, after the characteristic information viewing request associated with the image information is sent to the server through the above steps, the characteristic information corresponding to the image information may be searched in the server and sent to the second client, where the second client may receive the characteristic information corresponding to the image information sent by the server.

Step S330, displaying the feature information corresponding to the image information.

In an example embodiment of the present disclosure, after the characteristic information corresponding to the image information sent by the server is received through the above steps, the characteristic information corresponding to the image information may be displayed. Specifically, displaying the feature information corresponding to the image information means that a user of the second client can view the feature information corresponding to the image information.

For example, the second client is a display device with a data transmission function, and at this time, the feature information corresponding to the image information can be displayed on a display module of the second client; or, the feature information corresponding to the image information may be displayed in a graphical user interface corresponding to the image information. In addition, the present disclosure does not specifically limit the specific manner of displaying the feature information corresponding to the image information.

In some scenarios, the user of the second client wants to know the user information of the first client corresponding to the image information. At this time, in response to a preset operation, a feature information viewing request associated with the image information may be sent to the server, so that the server searches for user information corresponding to the first client corresponding to the image information according to the feature information viewing request associated with the image information. It should be noted that, in this embodiment, the user information corresponding to the first client is consistent with the user information corresponding to the first client in the feature information obtaining method, and details are not repeated in this embodiment.

In an example embodiment of the present disclosure, a feature information viewing request associated with image information may be sent to a server in response to a preset operation, so that the server searches for user information corresponding to a first client corresponding to the image information according to a feature identifier of an image, where the feature information viewing request includes the feature identifier of the image, an obtaining manner of the feature identifier of the image is consistent with an obtaining manner of the feature identifier of the image in the feature information obtaining method, and details of this embodiment are not repeated. After the second client acquires the feature identifier of the image information, the second client can send a feature information viewing request carrying the feature identifier of the image and associated with the image information to the server, and the server can search the user information of the first client corresponding to the image information according to the feature identifier of the image and send the user information of the first client corresponding to the image information to the second client.

In an example embodiment of the present disclosure, a feature information viewing request associated with image information may be sent to a server in response to a preset operation, so that the server searches for a tag field corresponding to the image information according to a feature identifier of an image. The tag field is consistent with the tag field in the above feature information obtaining method, and is not described in detail in this embodiment.

In an example embodiment of the present disclosure, a feature information viewing request associated with image information may be sent to a server in response to a preset operation, so that the server searches for a field corresponding to the image information according to a feature identifier of an image. The field is consistent with the field in the above-mentioned feature information obtaining method, and this embodiment is not described again.

In an example embodiment of the present disclosure, a feature information viewing request associated with image information may be sent to a server in response to a preset operation, so that the server searches for a search field corresponding to the image information according to a feature identifier of an image. The search field is consistent with the search field in the above feature information obtaining method, and is not described in detail in this embodiment.

In an example embodiment of the present disclosure, the image information uploaded by the first client and the feature information corresponding to the image information may be received, the feature information viewing request associated with the image information sent by the second client is received, the feature information corresponding to the image information is searched according to the feature information viewing request associated with the image information, and the feature information corresponding to the image information is sent to the second client, so that the second client displays the feature information corresponding to the image information. Referring to fig. 4, a flowchart illustrating a further feature information obtaining method in the present exemplary embodiment may include the following steps:

step S410, receiving image information uploaded by a first client and feature information corresponding to the image information;

in an example embodiment of the present disclosure, image information uploaded by a first client and feature information corresponding to the image information may be received. Specifically, after the feature information corresponding to the image information is determined in the first client, the image information and the feature information corresponding to the image information may be uploaded to the server, and at this time, the server may receive the image information uploaded by the first client and the feature information corresponding to the image information, and store the image information and the feature information in the server. The first client, the image information and the feature information corresponding to the image information are consistent with the first client, the image information and the feature information corresponding to the image information in the feature information obtaining method, and are not repeated in this embodiment.

Step S420, receiving a feature information viewing request associated with the image information sent by the second client, and searching for feature information corresponding to the image information according to the feature information viewing request associated with the image information;

in an example embodiment of the present disclosure, a feature information viewing request associated with image information sent by a second client may be received. Specifically, when the user of the second client sees the image information, the user wants to know the feature information corresponding to the image information, and may respond to a preset operation to send a feature information viewing request associated with the image information to the server, and at this time, the server receives the feature information viewing request associated with the image information sent by the second client, and searches for the feature information corresponding to the image information according to the feature information viewing request associated with the image information. The second client and the feature information check request are consistent with the second client feature information check request in the feature information obtaining method, and are not described in detail in this embodiment.

In an example embodiment of the present disclosure, feature information corresponding to image information may be searched for according to a feature information viewing request associated with the image information. For example, the feature information check request includes image information, and feature information corresponding to the image information can be searched according to the image information. It should be noted that, the present disclosure is not limited in particular to a specific manner of searching for the feature information corresponding to the image information according to the feature information viewing request associated with the image information.

Step S430, sending the feature information corresponding to the image information to the second client, so that the second client can display the feature information corresponding to the image information.

In some scenarios, the user of the second client wants to know the user information of the first client corresponding to the image information, and may obtain the feature identifier of the image corresponding to the feature information viewing request, and search for the feature information corresponding to the feature identifier of the image according to the feature identifier of the image. Referring to fig. 5, finding feature information corresponding to a feature identifier of an image according to the feature identifier of the image may include the following steps S510 to S520:

step S510, acquiring a feature identifier of an image corresponding to the feature information viewing request;

in an example embodiment of the present disclosure, a feature identifier of an image corresponding to image information may be obtained, and then a feature information viewing request carrying the feature identifier of the image is sent to a server, where the server may obtain the feature identifier of the image corresponding to the feature information viewing request. The feature identifier of the image is consistent with the method for acquiring the feature identifier of the image in the feature information acquisition method, which is not described in detail in this embodiment.

Step S520, finding out feature information corresponding to the feature identifier of the image according to the feature identifier of the image.

In an example embodiment of the present disclosure, after the feature identifier of the image is obtained through the above steps, feature information corresponding to the feature identifier of the image may be searched according to the feature identifier of the image. Specifically, the same image feature identifier may be searched for in the server according to the image feature identifier, and then the feature information corresponding to the same image feature identifier is obtained. It should be noted that, the present disclosure is not limited specifically to the specific manner of searching for the feature information corresponding to the feature identifier of the image according to the feature identifier of the image.

Specifically, the server may receive the feature identifier of the image uploaded by the first client and the feature information corresponding to the feature identifier of the image, receive a feature information viewing request associated with the image information sent by the second client, and then search the feature information corresponding to the image information according to the feature identifier of the image in the feature information viewing request associated with the image information.

Through the steps S510 to S520, the feature identifier of the image corresponding to the feature information viewing request may be obtained, and the feature information corresponding to the feature identifier of the image may be searched according to the feature identifier of the image.

In an example embodiment of the present disclosure, the feature information corresponding to the feature identifier of the image is user information of the first client. The user information of the first client is consistent with the user information of the first client in the feature information obtaining method, and is not described in detail in this embodiment.

In an example embodiment of the present disclosure, the server may receive the image information uploaded by the first client and the tag field corresponding to the image information, and then receive a feature information viewing request sent by the server and associated with the image information, and search for the tag field corresponding to the image information according to the feature information viewing request. The tag field is consistent with the tag field in the above feature information obtaining method, and is not described in detail in this embodiment.

In an example embodiment of the present disclosure, the server may receive the image information uploaded by the first client and the field corresponding to the image information, and then receive a feature information viewing request sent by the server and associated with the image information, and search for the field corresponding to the image information according to the feature information viewing request. The field is consistent with the field in the above-mentioned feature information obtaining method, and this embodiment is not described again.

In an example embodiment of the present disclosure, the server may receive the image information uploaded by the first client and the search field corresponding to the image information, and then receive a feature information viewing request sent by the server and associated with the image information, and search for the search field corresponding to the image information according to the feature information viewing request. The search field is consistent with the search field in the above feature information obtaining method, and is not described in detail in this embodiment.

In an example embodiment of the present disclosure, after acquiring image information, a first client may determine feature information corresponding to the image information, and then upload the image information and the feature information corresponding to the image information to a server, after acquiring the image information, a second client sends a feature information viewing request associated with the image information to the server in response to a preset operation, after receiving the feature information viewing request, the server may search for the feature information corresponding to the image information according to the image information, and then send the feature information corresponding to the image information to the second client, and the second client may receive the feature information corresponding to the image information and display the feature information corresponding to the image information.

Referring to fig. 6, a flowchart illustrating a further feature information obtaining method in the exemplary embodiment may include the following steps: step S601, acquiring image information; step S602, determining characteristic information corresponding to the image information; step S603, uploading the image information and the feature information corresponding to the image information to a server; step S604, obtaining image information; step S605, sending a characteristic information viewing request associated with the image information to a server; step S606, receiving a characteristic information viewing request; step S607, searching the feature information corresponding to the image information according to the image information; step S608, sending feature information corresponding to the image information to the second client; step S609, receiving characteristic information corresponding to the image information; step S610 is performed to display the feature information corresponding to the image information.

It is noted that the above-mentioned figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

In addition, in an exemplary embodiment of the present disclosure, a feature information acquisition apparatus is also provided. Referring to fig. 7, a feature information acquisition apparatus 700 includes: an image information acquisition module 710 and a feature information uploading module 720.

The image information acquisition module is used for acquiring image information and determining characteristic information corresponding to the image information; the characteristic information uploading module is used for uploading the image information and the characteristic information corresponding to the image information to the server so that the second client can obtain the characteristic information corresponding to the image information from the server according to the preset operation.

In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the characteristic information corresponding to the image information is determined, and the apparatus further includes: and the user information acquisition unit is used for acquiring the user information corresponding to the first client and determining the user information corresponding to the first client as the characteristic information corresponding to the image information.

In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the apparatus determines the user information corresponding to the first client as the feature information corresponding to the image information, and further includes: the face feature acquisition unit is used for acquiring face features corresponding to the image information through face recognition; the characteristic identification acquisition unit is used for acquiring the characteristic identification of the image according to the face characteristic corresponding to the image information; and the characteristic information determining unit is used for determining the user information corresponding to the first client as the characteristic information corresponding to the characteristic identifier of the image.

In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the image information and feature information corresponding to the image information are uploaded to a server, and the apparatus further includes: and the characteristic information uploading unit is used for uploading the characteristic identifier of the image and the characteristic information corresponding to the characteristic identifier of the image to the server.

In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the characteristic information corresponding to the image information is acquired, and the apparatus further includes: the first field acquisition unit is used for acquiring a tag field input when the image information is uploaded in the first client, and determining the tag field as feature information corresponding to the image information.

In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the characteristic information corresponding to the image information is acquired, and the apparatus further includes: and the second field acquisition unit is used for acquiring the fields contained in the image information through character recognition and determining the fields as the characteristic information corresponding to the image information.

In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the characteristic information corresponding to the image information is acquired, and the apparatus further includes: and the third field acquisition unit is used for acquiring the search field corresponding to the image information and determining the search field as the characteristic information corresponding to the image information.

Further, in an exemplary embodiment of the present disclosure, another feature information acquisition apparatus is also provided. Referring to fig. 8, another characteristic information acquiring apparatus 800 includes: a preset operation response module 810, a characteristic information receiving module 820 and a characteristic information display module 830.

The system comprises a preset operation response module, a server and a display module, wherein the preset operation response module is used for responding to a preset operation and sending a characteristic information viewing request associated with image information to the server so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information; the characteristic information receiving module is used for receiving characteristic information corresponding to the image information sent by the server; and the characteristic information display module is used for displaying the characteristic information corresponding to the image information.

In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the feature information viewing request includes a feature identification of the image.

Further, in an exemplary embodiment of the present disclosure, another feature information acquisition apparatus is also provided. Referring to fig. 9, still another feature information acquiring apparatus 900 includes: the system comprises a video information receiving module 910, a viewing request receiving module 920 and a feature information sending module 930.

The image information receiving module is used for receiving image information uploaded by a first client and characteristic information corresponding to the image information; the viewing request receiving module is used for receiving a characteristic information viewing request which is sent by a second client and is associated with the image information, and searching characteristic information corresponding to the image information according to the characteristic information viewing request which is associated with the image information; and the characteristic information sending module is used for sending the characteristic information corresponding to the image information to the second client so that the second client can display the characteristic information corresponding to the image information.

In an exemplary embodiment of the present disclosure, based on the foregoing scheme, the image information is an image, and the feature information corresponding to the image information is searched according to a feature information viewing request associated with the image information, and the apparatus further includes: the characteristic identification obtaining unit is used for obtaining the characteristic identification of the image corresponding to the characteristic information viewing request; and the characteristic information searching unit is used for searching the characteristic information corresponding to the characteristic identifier of the image according to the characteristic identifier of the image.

For details that are not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the feature information acquiring method described above in the present disclosure for the details that are not disclosed in the embodiments of the apparatus of the present disclosure.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above feature information acquisition method is also provided.

As will be appreciated by one skilled in the art, aspects of the present disclosure may be embodied as a system, method or program product. Accordingly, various aspects of the present disclosure may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.

An electronic device 1000 according to such an embodiment of the present disclosure is described below with reference to fig. 10. The electronic device 1000 shown in fig. 10 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.

As shown in fig. 10, the electronic device 1000 is embodied in the form of a general purpose computing device. The components of the electronic device 1000 may include, but are not limited to: the at least one processing unit 1010, the at least one memory unit 1020, a bus 1030 connecting different system components (including the memory unit 1020 and the processing unit 1010), and a display unit 1040.

Where the storage unit stores program code that may be executed by the processing unit 1010 to cause the processing unit 1010 to perform the steps according to various exemplary embodiments of the present disclosure described in the "exemplary methods" section above in this specification. For example, the processing unit 1010 may perform step S110 as shown in fig. 1: acquiring image information and determining characteristic information corresponding to the image information; step S120: uploading the image information and the characteristic information corresponding to the image information to a server so that a second client can obtain the characteristic information corresponding to the image information from the server according to a preset operation; or, executing step S310 shown in fig. 3, in response to a preset operation, sending a feature information viewing request associated with the image information to the server, so that the server searches for feature information corresponding to the image information according to the feature information viewing request associated with the image information; step S320, receiving feature information corresponding to the image information sent by the server; step S330, displaying characteristic information corresponding to the image information; or, executing step S410 shown in fig. 4, receiving the image information uploaded by the first client and the feature information corresponding to the image information; step S420, receiving a feature information viewing request associated with the image information sent by the second client, and searching for feature information corresponding to the image information according to the feature information viewing request associated with the image information; step S430, sending the feature information corresponding to the image information to the second client, so that the second client can display the feature information corresponding to the image information.

As another example, the electronic device may implement the various steps shown in fig. 1, 3, and 4.

The memory unit 1020 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)1021 and/or a cache memory unit 1022, and may further include a read-only memory unit (ROM) 1023.

Storage unit 1020 may also include a program/utility 1024 having a set (at least one) of program modules 1025, such program modules 1025 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.

Bus 1030 may be any one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, and a local bus using any of a variety of bus architectures.

The electronic device 1000 may also communicate with one or more external devices 1070 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 1000, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 1000 to communicate with one or more other computing devices. Such communication may occur through input/output (I/O) interfaces 1050. Also, the electronic device 1000 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 1060. As shown, the network adapter 1060 communicates with the other modules of the electronic device 1000 over the bus 1030. It should be appreciated that although not shown, other hardware and/or software modules may be used in conjunction with the electronic device 1000, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the disclosure described in the above-mentioned "exemplary methods" section of this specification, when the program product is run on the terminal device.

A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).

In an exemplary embodiment of the present disclosure, there is also provided a feature information acquisition system including: the first client is used for acquiring image information, determining characteristic information corresponding to the image information, and uploading the image information and the characteristic information corresponding to the image information to the server, so that the second client can acquire the characteristic information corresponding to the image information from the server according to preset operation; the second client is used for responding to the preset operation, sending a characteristic information viewing request associated with the image information to the server, so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information, and receiving the characteristic information corresponding to the image information sent by the server; displaying characteristic information corresponding to the image information; the server is used for receiving the image information uploaded by the first client and the characteristic information corresponding to the image information, receiving a characteristic information viewing request which is sent by the second client and is associated with the image information, searching the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information, and sending the characteristic information corresponding to the image information to the second client so that the second client can display the characteristic information corresponding to the image information.

By using the characteristic information acquisition system, the characteristic information can be determined according to the image information and uploaded to the server, and other users can inquire the characteristic information corresponding to the image information through the server when seeing the image information. On one hand, when the user encounters an image or a video which is not understood, the user does not need to inquire other users, so that the problem of long-time waiting is avoided, and the user can know the related content of the image or the video in time; on the other hand, the image or the video does not need to be extensively inquired in a large amount of time, so that the time of a user is saved, and the authenticity of an inquiry result can be ensured.

Furthermore, the above-described figures are merely schematic illustrations of processes included in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

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.

Claims

1. A feature information acquisition method is applied to a first client, and comprises the following steps:

acquiring image information, and determining characteristic information corresponding to the image information;

and uploading the image information and the characteristic information corresponding to the image information to a server, so that the second client can obtain the characteristic information corresponding to the image information from the server according to a preset operation.

2. The method of claim 1, wherein the determining the feature information corresponding to the image information comprises:

and acquiring user information corresponding to the first client, and determining the user information corresponding to the first client as characteristic information corresponding to the image information.

3. The method according to claim 2, wherein the determining the user information corresponding to the first client as the feature information corresponding to the image information comprises:

acquiring the face characteristics corresponding to the image information through face recognition;

obtaining the feature identification of the image according to the face feature corresponding to the image information;

and determining the user information corresponding to the first client as the characteristic information corresponding to the characteristic identifier of the image.

4. The method according to claim 3, wherein the uploading the image information and the feature information corresponding to the image information to a server comprises:

and uploading the feature identifier of the image and the feature information corresponding to the feature identifier of the image to a server.

5. The method according to claim 1, wherein the acquiring feature information corresponding to the image information comprises:

the method comprises the steps of obtaining a label field input when image information is uploaded in a first client, and determining the label field as feature information corresponding to the image information.

6. The method according to claim 1, wherein the acquiring feature information corresponding to the image information comprises:

and acquiring fields contained in the image information through character recognition, and determining the fields as the characteristic information corresponding to the image information.

7. The method according to claim 1, wherein the acquiring feature information corresponding to the image information comprises:

and acquiring a retrieval field corresponding to the image information, and determining the retrieval field as the characteristic information corresponding to the image information.

8. A feature information acquisition method is applied to a second client, and comprises the following steps:

responding to preset operation, sending a characteristic information viewing request associated with the image information to a server, so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information;

receiving characteristic information corresponding to the image information sent by the server;

and displaying the characteristic information corresponding to the image information.

9. The method according to claim 1, wherein the feature information viewing request includes a feature identification of the image.

10. A feature information acquisition method is applied to a server, and the method comprises the following steps:

receiving image information uploaded by a first client and characteristic information corresponding to the image information;

receiving a characteristic information viewing request which is sent by a second client and is associated with image information, and searching characteristic information corresponding to the image information according to the characteristic information viewing request which is associated with the image information;

and sending the characteristic information corresponding to the image information to the second client so that the second client can display the characteristic information corresponding to the image information.

11. The method according to claim 1, wherein the video information is an image, and the searching for the feature information corresponding to the video information according to the feature information viewing request associated with the video information comprises:

acquiring a characteristic identifier of an image corresponding to the characteristic information viewing request;

and searching the characteristic information corresponding to the characteristic identifier of the image according to the characteristic identifier of the image.

12. A feature information acquisition device is applied to a first client, and the method comprises the following steps:

the image information acquisition module is used for acquiring image information and determining characteristic information corresponding to the image information;

the characteristic information uploading module is used for uploading the image information and the characteristic information corresponding to the image information to a server so that a second client can obtain the characteristic information corresponding to the image information from the server according to preset operation.

13. A feature information acquisition device is applied to a second client, and the method comprises the following steps:

the preset operation response module is used for responding to preset operation and sending a characteristic information viewing request associated with the image information to the server so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information;

the characteristic information receiving module is used for receiving characteristic information corresponding to the image information sent by the server;

and the characteristic information display module is used for displaying the characteristic information corresponding to the image information.

14. A characteristic information acquisition device is applied to a server side, and the method comprises the following steps:

the image information receiving module is used for receiving image information uploaded by a first client and characteristic information corresponding to the image information;

the viewing request receiving module is used for receiving a characteristic information viewing request which is sent by a second client and is associated with the image information, and searching characteristic information corresponding to the image information according to the characteristic information viewing request which is associated with the image information;

and the characteristic information sending module is used for sending the characteristic information corresponding to the image information to the second client so that the second client can display the characteristic information corresponding to the image information.

15. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1 to 11.

16. An electronic device, comprising:

one or more processors; and

memory for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the method of any of claims 1-11.

17. A characteristic information acquisition system characterized by comprising:

the second client is used for responding to preset operation, sending a characteristic information viewing request associated with the image information to the server, so that the server can search the characteristic information corresponding to the image information according to the characteristic information viewing request associated with the image information, and receiving the characteristic information corresponding to the image information sent by the server; displaying characteristic information corresponding to the image information;

the server is used for receiving the image information uploaded by the first client and the feature information corresponding to the image information, receiving a feature information viewing request associated with the image information and sent by the second client, searching the feature information corresponding to the image information according to the feature information viewing request associated with the image information, and sending the feature information corresponding to the image information to the second client so that the second client can display the feature information corresponding to the image information.