WO2019100925A1 - Image data output - Google Patents

Abstract

An image data output method and apparatus, and an electronic device. The method comprises: determining a target event for a target object (201); acquiring target image data matching the target event from pre-stored image data (202); and outputting the target image data in a preset area corresponding to the target object on a user interface (203).

Description

Image data output

Cross-reference to related applications

The present application claims the priority of the Chinese patent application filed on November 23, 2017, the application number of which is the same as Into this article.

Technical field

The present application relates to the field of Internet application technologies, and in particular, to an image data output method, apparatus, and electronic device.

Background technique

With the continuous development of Internet technology, many Internet-based service platforms have emerged. Taking the sharing review service as an example, the user can send the sharing review information for the target merchant to the service platform that provides the sharing review service through the client. The sharing review information may include image data (eg, photos, videos, etc.) taken by the user when the target merchant consumes. However, in general, when uploading image data, the user needs to manually search for the image data captured when the target merchant performs consumption from the historical data of the album, thereby affecting the usability and efficiency of the client.

Summary of the invention

In order to solve one of the above technical problems, the present application provides an image data output method and apparatus, and an electronic device.

According to a first aspect of the embodiments of the present application, an image data output method is provided, including:

Identify target events for the target object;

Obtaining target image data that matches the target event from pre-stored image data;

The target image data is output on a preset area corresponding to the target object on the user interface.

Optionally, obtaining, by the pre-stored image data, the target image data that matches the target event, including:

Obtaining event information of the target event and a preset matching condition;

The target image data is acquired from the pre-stored image data based on the event information and the matching condition.

Optionally, the acquiring the target image data from the pre-stored image data based on the event information and the matching condition includes:

Determining candidate image data of the pre-stored image data that satisfies the matching condition based on the event information;

The target image data is selected from the candidate image data.

Optionally, the event information includes: a target time corresponding to the target event.

Optionally, the matching condition includes: a deviation between a creation time of the target image data and the target time is less than a first threshold.

Optionally, the event information includes: a target location corresponding to the target event.

Optionally, the matching condition includes: a deviation between a creation location of the target image data and the target location is less than a second threshold.

Optionally, selecting the target image data from the candidate image data includes:

Image data of some or all of the face features is not selected from the candidate image data as the target image data.

Optionally, selecting the target image data from the candidate image data includes:

Image data of which part or all of the image quality satisfying the preset index is selected from the candidate image data as the target image data.

Optionally, the method further includes:

Part or all of the target image data is uploaded in response to a preset operation by the user.

According to a second aspect of the embodiments of the present application, an image data output apparatus is provided, including:

a determination module for determining a target event for the target object;

An acquiring module, configured to acquire target image data that matches the target event from pre-stored image data;

And an output module, configured to output the target image data in a preset area corresponding to the target object on the user interface.

According to a third aspect of the embodiments of the present application, there is provided a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the image of any of the above first aspects Data output method.

According to a fourth aspect of the embodiments of the present application, there is provided an electronic device comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, the processor implementing the first The image data output method according to any one of the aspects.

The technical solutions provided by the embodiments of the present application may include the following beneficial effects:

An image data output method and apparatus provided by an embodiment of the present application acquires target image data matching target events from pre-stored image data by determining a target event for a target object, and presets corresponding to the target object on the user interface The area outputs target image data. Thereby, the target image data matching the target event is automatically recommended to the user, and the user does not need to manually search the target image data from the pre-stored image data, thereby improving the usability and use efficiency of the client.

The above general description and the following detailed description are intended to be illustrative and not restrictive.

DRAWINGS

The drawings herein are incorporated in and constitute a part of the specification,

1 is a schematic diagram of an exemplary system architecture to which an embodiment of the present application is applied;

FIG. 2 is a flowchart of an image data output method according to an exemplary embodiment of the present application;

FIG. 3 is a flowchart of another image data output method according to an exemplary embodiment of the present application;

FIG. 4 is a flowchart of another image data output method according to an exemplary embodiment of the present application; FIG.

FIG. 5 is a block diagram of an image data output apparatus according to an exemplary embodiment of the present application; FIG.

FIG. 6 is a block diagram of another image data output apparatus according to an exemplary embodiment of the present application; FIG.

FIG. 7 is a block diagram of another image data output apparatus according to an exemplary embodiment of the present application; FIG.

FIG. 8 is a block diagram of another image data output apparatus according to an exemplary embodiment of the present application; FIG.

FIG. 9 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application.

Detailed ways

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. The following description refers to the same or similar elements in the different figures unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Instead, they are merely examples of devices and methods consistent with aspects of the present application as detailed in the appended claims.

The terminology used in the present application is for the purpose of describing particular embodiments, and is not intended to be limiting. The singular forms "a", "the" and "the" It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It should be understood that although the terms first, second, third, etc. may be used to describe various information in this application, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, the first information may also be referred to as the second information without departing from the scope of the present application. Similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "when" or "in response to a determination."

Referring to FIG. 1 , it is a schematic diagram of an exemplary system architecture to which an embodiment of the present application is applied:

As shown in FIG. 1, system architecture 100 can include terminal devices 101, 102, network 103, and server 104. It should be understood that the number or type of terminal devices 101, 102, network 103, and server 104 in Figure 1 are merely illustrative. Any number or type of terminal devices 101, 102, network 103, and server 104 may be provided as needed for implementation.

The network 103 is used to provide a communication link between the terminal devices 101, 102 and the server 104. Network 103 may include various types of connections, such as wired or wireless communication links, and the like.

The terminal devices 101, 102 can interact with the server 104 via the network 103 to receive or transmit requests or information and the like. The terminal devices 101, 102 can be various electronic devices including, but not limited to, smartphones, tablets, smart wearable devices, personal digital assistants, and the like.

Server 104 can provide a share review service. The server 104 may perform processing such as storing, analyzing, and the like on the received data, and may also transmit a control command or request to the terminal device or other server. Server 104 can provide services in response to a user's service request. It will be appreciated that one server 104 may provide one or more services, and the same service may also be provided by multiple servers 104.

The present application will be described in detail below in conjunction with specific embodiments.

As shown in FIG. 2, FIG. 2 is a flowchart of an image data output method according to an exemplary embodiment. The method may be applied to a client, where the client may be a share review installed on the terminal device. Third party application for the service. Those skilled in the art can understand that the terminal device can include, but is not limited to, a mobile terminal device such as a smart phone, a smart wearable device, a tablet computer, a personal digital assistant, and the like. The method includes the following steps:

In step 201, a target event for the target object is determined.

In this embodiment, the target object may be a target merchant, and the target event for the target object may be an event that the user performs on-site consumption at the target merchant, and the incident of the live consumption is a consumption event capable of displaying an image to other users. For example, the target event may be a consumer event in which the user eats at the restaurant, and the user may present images of the dishes and the dining environment to other users. For another example, the target event may also be a consumption event to KTV singing, and the user may display images of devices and environments between the KTV packages to other users. For another example, the target event may also be a consumption event to the playground, and the user may display the activity of the playground and the image of the play scene to other users.

Generally, after the user consumes the target merchant, if the client uses the above-mentioned client to make a payment, or the consumer signs in through the client, the server corresponding to the client may determine that the user has consumed the target merchant, and Record the incident of consumption. If the user does not use the client to make a payment after the target merchant consumes, and does not perform the consumer check-in through the client, the user frequently enters the browsing page of the target merchant through the client, or interacts through the client ( Such as the target business has been reviewed, or upload business information, etc.). The server can also determine that the user has consumed the target merchant and recorded the event of the purchase.

In this embodiment, the server may determine, according to the type of the target merchant (eg, catering, entertainment, ticketing, etc.) and any other reasonable information, whether the consumption of the user in the target merchant belongs to the consumption of displaying images to other users. The event, if so, can determine the consumer event as a target event for the target merchant. Moreover, the server may generate the to-be-review list information of the user according to the consumption situation of the user, and return the information to the client. The client can prompt the user to be reviewed according to the information to be reviewed on the user interface, and the user can comment on the target merchant through the client or share information with other users. The information to be reviewed may include information about a target event of the target merchant. The client may obtain information about the target event of the target merchant from the to-be-reviewed list information to determine a target event for the target merchant.

It should be noted that although the server execution step 201 is taken as an example to describe how to determine the target event, those skilled in the art should understand that the target event can also be directly determined by the client itself.

In step 202, target image data matching the target event is acquired from the pre-stored image data.

In this embodiment, the image data may be a picture, a video, or a dynamic image. The specific form of the image data is not limited in this application. The pre-stored image data may be a picture or video or the like stored in a photo album of the terminal device.

Generally, when the user consumes at the target merchant, the terminal device may be used to capture the consumed scene (eg, taking a picture or taking a video, etc.), and the terminal device may take the captured image data and related information at the time of shooting ( For example, shooting time, or shooting location, etc., for associative storage. In this embodiment, after determining the above-mentioned consumption event (ie, target event) of the target merchant (ie, the target object), the client may acquire the captured image data from the pre-stored image data (ie, with the target event) Matching image data) as target image data.

In step 203, target image data is outputted in a preset area corresponding to the target object on the user interface.

In this embodiment, the preset area corresponding to the target object may be an information display area corresponding to the target merchant on the user interface of the client, and the preset area may be any form of display area. For example, the preset area may be a guiding area corresponding to the target merchant, or may be a pop-up window after triggering the trigger area corresponding to the target merchant, or may be a floating bubble corresponding to the target merchant, or may be a triggering area corresponding to the target merchant. After entering the review page area. It can be understood that the preset area may also have other forms, and the specific form of the preset area is not limited in the present application.

In this embodiment, the user can comment on the target merchant through the user interface of the client, or share information with other users. Therefore, the target image data can be outputted in the preset area corresponding to the target merchant on the user interface of the client, and the target image data is pushed to the user for selection, thereby prompting the user to upload the matched image data.

For the embodiment, an application scenario may be that when the user eats at the restaurant A, a plurality of photos are taken, including photos of the dishes and photos of the restaurant environment. After the meal is finished, the user makes a payment using the client. The server can add the meal consumption to the list to be reviewed and return it to the client. When the user clicks into the waiting list of the client, the client can display the comment guiding area corresponding to the restaurant A, and the client can take out the photo taken by the user in the restaurant A from the album, and display the corresponding comment in the restaurant A. Boot area. Alternatively, when the user clicks on the review guide area corresponding to the restaurant A, a pop-up window is displayed in which the above-mentioned photograph taken by the user at the restaurant A is displayed. Users can select photos to upload and upload them.

This embodiment is not limited to the application scenario described above, and may be applied to other scenarios. The image data output method provided by the above embodiment of the present application acquires target image data matching target events from pre-stored image data by determining target events for the target object, and preset regions corresponding to the target objects on the user interface. Output target image data. Thereby, the target image data matching the target event is automatically recommended to the user, and the user does not need to manually search the target image data from the pre-stored image data, thereby improving the usability and use efficiency of the client.

As shown in FIG. 3, FIG. 3 is a flowchart of another image data output method according to an exemplary embodiment. This embodiment describes a process of acquiring target image data matching target events from pre-stored image data, the method being applicable to the client, comprising the following steps:

In step 301, a target event for the target object is determined.

In step 302, event information of the target event and a preset matching condition are acquired.

In this embodiment, the event information of the target event may be related information consumed by the user at the target merchant, and may include a target time corresponding to the target event (ie, the time the user consumes at the target merchant), and may further include the target event. The corresponding target location (ie the location of the target merchant). It can be understood that the event information may also be any other reasonable information. The specific content of the event information is not limited in this application.

Generally, after the user consumes, if the client uses the payment, or the consumer signs in through the client, the server corresponding to the client can record the user's consumption behavior information. The consumer behavior information may include time information of consumption and location information of the consumption (ie, location information of the target merchant). The event information of the target event may include the consumption behavior information. Therefore, the event information of the target event is recorded in the server, and the client can obtain event information of the target event from the server.

In an implementation manner of this embodiment, the event information may include a target time corresponding to the target event. The matching condition may be image data in which the deviation of the creation time of the target image data from the target time is less than the first threshold. In another implementation manner of this embodiment, the event information may include a target location corresponding to the target event. The matching condition may be that the deviation of the creation location of the target image data from the target location is less than a second threshold.

In this embodiment, the matching condition may be stored by the server, or the matching condition may be stored by the client. Therefore, the client may obtain the matching condition from the server, or obtain the matching condition from the locally stored data. . It can be understood that the present application does not limit the specific acquisition manner of the matching condition.

In step 303, target image data is acquired from the pre-stored image data based on the event information and the matching condition.

In this embodiment, the target image data may be acquired from the pre-stored image data based on the event information and the matching condition. In an implementation manner, all the image data satisfying the matching condition may be directly selected from the pre-stored image data as the target image data based on the event information.

In another implementation manner, image data that satisfies the matching condition in the pre-stored image data may be determined as candidate image data based on the event information, and then filtered from the candidate image data to obtain target image data. The screening condition may be a specific feature recognized by the image, such as a dish, an indoor scene, or may not include a specific feature, such as a face. This application does not limit this.

It can be understood that the target image data can also be obtained by any other reasonable manner, which is not limited in this application.

In step 304, target image data is outputted in a preset area corresponding to the target object on the user interface.

It should be noted that the same steps as those in the embodiment of FIG. 2 are not described in the foregoing embodiment of FIG. 3, and related content can be referred to the embodiment of FIG. 2.

The image data output method provided by the above embodiment of the present application obtains event information of a target event and a preset matching condition by determining a target event for the target object, and acquires the pre-stored image data based on the event information and the matching condition. Target image data, and output target image data in a preset area corresponding to the target object on the user interface. Since the present embodiment obtains the target image data to be pushed from the pre-stored image data based on the event information of the target event and the preset matching condition, the recommendation of the image data is more accurate, and the user's ease of use is also improved. And use efficiency.

As shown in FIG. 4, FIG. 4 is a flowchart of another image data recommendation method according to an exemplary embodiment. The embodiment describes in detail a process of acquiring target image data, which may be applied to a client, including The following steps:

In step 401, a target event for the target object is determined.

In step 402, event information of the target event and a preset matching condition are acquired.

In step 403, candidate image data satisfying the matching condition among the pre-stored image data is determined based on the event information.

In an implementation manner of this embodiment, the event information may include a target time corresponding to the target event. The candidate image data that satisfies the matching condition may be image data in which the deviation between the corresponding creation time and the target time is less than the first threshold. It is possible to traverse each piece of image data in the local album, acquire the creation time of each piece of image data, and determine candidate image data that satisfies the matching condition based on the creation time of each piece of image data.

In another implementation manner of this embodiment, the event information may include a target location corresponding to the target event. The candidate image data that satisfies the matching condition may be that the deviation between the corresponding creation location and the target location is less than a second threshold. Each image data in the local album may be traversed, the creation location of each image data may be acquired, and candidate image data satisfying the matching condition may be determined according to the creation location of each image data.

In still another implementation of this embodiment, the event information may include a target time and a target location corresponding to the target event. The candidate image data that satisfies the matching condition in this way is that the deviation between the corresponding creation time and the target time is less than the first threshold, and the deviation between the corresponding creation location and the target location is less than the second threshold. The candidate image data is determined based on the two matching conditions.

In step 404, target image data is selected from the candidate image data.

In the present embodiment, partial image data may be selected from the candidate image data as the target image data. In one implementation, some or all of the image data that does not include the face feature may be selected from the candidate image data as the target image data. The image of each frame of each piece of image data may be subjected to recognition analysis to determine whether or not the face feature is included, the image data including the face feature is discarded, and the target image data is selected only from the image data not including the face feature.

In another implementation manner, image data of a part or all of the image quality satisfying the preset index may also be selected from the candidate image data as the target image data. Among them, the evaluation criteria of the image quality may include, but are not limited to, the sharpness of the image, the brightness of the image, the saturation of the image, and the like. Image analysis can be performed on each frame of each image data to obtain an index of the corresponding image quality, such as obtaining the sharpness value of the image, or obtaining the brightness value of the image, or obtaining the saturation value of the image. Then, according to the foregoing indicator, it is determined whether the image quality of the corresponding image satisfies the preset index, and the image data that does not satisfy the preset index is discarded, and only the target image data is selected from the image data that satisfies the preset index.

In still another implementation, image data in which some or all of the candidate image data does not include the face feature and the image quality satisfies the preset index may also be selected as the target image data. It can be understood that the target image data can be selected from the candidate image data by any other manner. The specific manner of selecting the target image data is not limited in this application.

In step 405, target image data is outputted in a preset area corresponding to the target object on the user interface.

It should be noted that the same steps as those in the embodiment of FIG. 2 and FIG. 3 are not described in the above embodiment of FIG. 4, and the related content can be referred to the embodiment of FIG. 2 and FIG. 3.

The image data output method provided by the above embodiment of the present application determines the event information of the target event and the preset matching condition by determining the target event for the target object, and determines, according to the event information, the preparation that satisfies the matching condition in the pre-stored image data. The image data is selected, the target image data is selected from the candidate image data, and the target image data is outputted in a preset area corresponding to the target object on the user interface. Since the embodiment obtains candidate image data from the pre-stored image data based on the event information of the target event and the preset matching condition, and selects the target image data to be pushed from the candidate image data in different manners, so that the image data is made. The push accuracy is further improved, and the client's ease of use and use efficiency are further improved.

In some optional implementations, the above method may further include: uploading part or all of the target image data in response to a preset operation of the user.

The user's preset operation can be an operation for the user to upload image data through the user interface. The user can upload all the recommended image data directly, or select part of the image data to upload from the recommended image data. The preset operation of the user may be any reasonable operation. For example, the preset operation of the user may be an operation of clicking a preset area on the user interface, a sliding operation on the user interface, or clicking a physical button. Operation and the like, it can be understood that the present application does not limit the specific form of the user's preset operation.

It should be noted that although the operations of the method of the present application are described in a particular order in the figures, this is not a requirement or implied that the operations must be performed in the particular order, or that all of the operations shown must be performed to achieve the desired result. . Instead, the steps depicted in the flowcharts can change the order of execution. Additionally or alternatively, certain steps may be omitted, multiple steps being combined into one step, and/or one step being broken down into multiple steps.

Corresponding to the foregoing image data output method embodiment, the present application also provides an embodiment of an image data output device.

As shown in FIG. 5, FIG. 5 is a block diagram of an image data output device according to an exemplary embodiment of the present application. The device may include: a determining module 501, an obtaining module 502, and an output module 503.

The determining module 501 is configured to determine a target event for the target object.

The obtaining module 502 is configured to acquire target image data that matches the target event from the pre-stored image data.

The output module 503 is configured to output target image data in a preset area corresponding to the target object on the user interface.

As shown in FIG. 6, FIG. 6 is a block diagram of another image data output device according to an exemplary embodiment of the present application. Based on the foregoing embodiment shown in FIG. 5, the obtaining module 502 may include: An acquisition submodule 601 and a second acquisition submodule 602.

The first obtaining sub-module 601 is configured to acquire event information of the target event and a preset matching condition.

The second obtaining sub-module 602 is configured to acquire target image data from the pre-stored image data based on the event information and the matching condition.

As shown in FIG. 7, FIG. 7 is a block diagram of another image data output device according to an exemplary embodiment of the present application. Based on the foregoing embodiment shown in FIG. 6, the second obtaining submodule 602 may be The method includes: determining a sub-module 701 and selecting a sub-module 702.

The determining sub-module 701 is configured to determine candidate image data that satisfies the matching condition among the pre-stored image data based on the event information.

The sub-module 702 is selected for selecting target image data from the candidate image data.

In some optional implementations, the event information includes: a target time corresponding to the target event.

The matching condition includes: a deviation between a creation time of the target image data and the target time is less than a first threshold.

In other optional implementations, the event information includes: a target location corresponding to the target event.

The matching condition includes: a deviation between a creation location of the target image data and the target location is less than a second threshold.

In still other alternative embodiments, the selection sub-module 702 is configured to: select some or all of the image data that does not include the facial features from the candidate image data as the target image data.

In other optional implementations, the selection sub-module 702 is configured to: select, from the candidate image data, image data of a part or all of the image quality that satisfies the preset index as the target image data.

As shown in FIG. 8, FIG. 8 is a block diagram of another image data output device according to an exemplary embodiment of the present application. The device may further include: Upload module 504.

The uploading module 504 is configured to upload part or all of the target image data in response to a preset operation of the user.

It should be understood that the above device may be preset in the terminal device, or may be loaded into the terminal device by downloading or the like. The corresponding module in the above device can cooperate with the module in the terminal device to implement an image data pushing scheme.

For the device embodiment, since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment. The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the present application. Those of ordinary skill in the art can understand and implement without any creative effort.

The embodiment of the present application further provides a computer readable storage medium, where the storage medium stores a computer program, and the computer program can be used to execute the image data output method provided by any of the foregoing embodiments of FIG. 2 to FIG.

Corresponding to the image data output method described above, the embodiment of the present application further provides a schematic structural diagram of the electronic device according to an exemplary embodiment of the present application shown in FIG. 9 . Referring to FIG. 9, at the hardware level, the electronic device includes a processor 910, an internal bus 930, a network interface 940, a memory 920, and a non-volatile memory 921, and of course may also include hardware required for other services. The processor 910 reads the corresponding computer program from the non-volatile memory 921 into the memory 920 and then operates to form the image data output device 950 on a logical level. Of course, in addition to the software implementation, the present application does not exclude other implementation manners, such as a logic device or a combination of software and hardware, etc., that is, the execution body of the following processing flow is not limited to each logical unit, and may be Hardware or logic device.

Other embodiments of the present application will be readily apparent to those skilled in the <RTIgt; The application is intended to cover any variations, uses, or adaptations of the application, which are in accordance with the general principles of the application and include common general knowledge or common technical means in the art that are not disclosed herein. . The specification and examples are to be regarded as illustrative only,

It is to be understood that the invention is not limited to the details of the details and The scope of the present application is limited only by the accompanying claims.

Claims (13)

An image data output method, the method comprising: Identify target events for the target object; Obtaining target image data that matches the target event from pre-stored image data; The target image data is output on a preset area corresponding to the target object on the user interface. The method according to claim 1, wherein the obtaining the target image data that matches the target event from the pre-stored image data comprises: Obtaining event information of the target event and a preset matching condition; The target image data is acquired from the pre-stored image data based on the event information and the matching condition. The method according to claim 2, wherein the acquiring the target image data from the pre-stored image data based on the event information and the matching condition comprises: Determining candidate image data of the pre-stored image data that satisfies the matching condition based on the event information; The target image data is selected from the candidate image data. The method according to claim 2, wherein the event information comprises: a target time corresponding to the target event. The method according to claim 4, wherein the matching condition comprises: a deviation of a creation time of the target image data from the target time is less than a first threshold. The method according to claim 2, wherein the event information comprises: a target location corresponding to the target event. The method according to claim 6, wherein the matching condition comprises that a deviation of a creation location of the target image data from the target location is less than a second threshold. The method according to claim 3, wherein the selecting the target image data from the candidate image data comprises: Image data of some or all of the face features is not selected from the candidate image data as the target image data. The method according to claim 3, wherein the selecting the target image data from the candidate image data comprises: Image data of which part or all of the image quality satisfying the preset index is selected from the candidate image data as the target image data. The method according to any one of claims 1-9, wherein the method further comprises: Part or all of the target image data is uploaded in response to a preset operation by the user. An image data output device, the device comprising: a determination module for determining a target event for the target object; An acquiring module, configured to acquire target image data that matches the target event from pre-stored image data; And an output module, configured to output the target image data in a preset area corresponding to the target object on the user interface. A computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the image data output method according to any one of claims 1-10. An electronic device comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, the processor executing the program to implement the method of any of the above claims 1-10 .

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