WO2019100925A1 - Sortie de données d'image - Google Patents

Sortie de données d'image Download PDF

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Publication number
WO2019100925A1
WO2019100925A1 PCT/CN2018/113567 CN2018113567W WO2019100925A1 WO 2019100925 A1 WO2019100925 A1 WO 2019100925A1 CN 2018113567 W CN2018113567 W CN 2018113567W WO 2019100925 A1 WO2019100925 A1 WO 2019100925A1
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WO
WIPO (PCT)
Prior art keywords
image data
target
event
matching condition
target image
Prior art date
Application number
PCT/CN2018/113567
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English (en)
Chinese (zh)
Inventor
王晓琪
王坤
Original Assignee
北京三快在线科技有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
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Publication of WO2019100925A1 publication Critical patent/WO2019100925A1/fr

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/903—Querying
    • G06F16/9032—Query formulation
    • G06F16/90324—Query formulation using system suggestions
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0282—Rating or review of business operators or products

Definitions

  • the present application relates to the field of Internet application technologies, and in particular, to an image data output method, apparatus, and electronic device.
  • 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.
  • image data eg, photos, videos, etc.
  • 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.
  • the present application provides an image data output method and apparatus, and an electronic device.
  • an image data output method including:
  • the target image data is output on a preset area corresponding to the target object on the user interface.
  • obtaining, by the pre-stored image data, the target image data that matches the target event including:
  • the target image data is acquired from the pre-stored image data based on the event information and the matching condition.
  • the acquiring the target image data from the pre-stored image data based on the event information and the matching condition includes:
  • the target image data is selected from the candidate image data.
  • 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.
  • 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.
  • 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.
  • 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.
  • the method further includes:
  • Part or all of the target image data is uploaded in response to a preset operation by the user.
  • an image data output apparatus 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
  • 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 of any of the above first aspects Data output method.
  • 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.
  • An image data output method and apparatus 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.
  • 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.
  • FIG. 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. 5 is a block diagram of an image data output apparatus according to an exemplary embodiment of the present application.
  • FIG. 6 is a block diagram of another image data output apparatus according to an exemplary embodiment of the present application.
  • FIG. 7 is a block diagram of another image data output apparatus according to an exemplary embodiment of the present application.
  • FIG. 8 is a block diagram of another image data output apparatus according to an exemplary embodiment of the present application.
  • FIG. 9 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application.
  • 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.
  • first information may also be referred to as the second information without departing from the scope of the present application.
  • second information may also be referred to as the first information.
  • word "if” as used herein may be interpreted as "when” or “when” or “in response to a determination.”
  • FIG. 1 it is a schematic diagram of an exemplary system architecture to which an embodiment of the present application is applied:
  • 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.
  • 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 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:
  • step 201 a target event for the target object is determined.
  • the target object may be a target merchant
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • step 202 target image data matching the target event is acquired from the pre-stored image data.
  • 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.
  • 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.
  • 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.
  • step 203 target image data is outputted in a preset area corresponding to the target object on the user interface.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 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.
  • 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.
  • 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:
  • step 301 a target event for the target object is determined.
  • step 302 event information of the target event and a preset matching condition are acquired.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • step 303 target image data is acquired from the pre-stored image data based on the event information and the matching condition.
  • the target image data may be acquired from the pre-stored image data based on the event information and the matching condition.
  • 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.
  • 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.
  • target image data can also be obtained by any other reasonable manner, which is not limited in this application.
  • step 304 target image data is outputted in a preset area corresponding to the target object on the user interface.
  • 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.
  • 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:
  • step 401 a target event for the target object is determined.
  • step 402 event information of the target event and a preset matching condition are acquired.
  • step 403 candidate image data satisfying the matching condition among the pre-stored image data is determined based on the event information.
  • 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.
  • 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.
  • 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.
  • step 404 target image data is selected from the candidate image data.
  • partial image data may be selected from the candidate image data as the target image data.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • step 405 target image data is outputted in a preset area corresponding to the target object on the user interface.
  • the image data output method 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.
  • 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.
  • 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.
  • the present application also provides an embodiment of an image data output device.
  • 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.
  • FIG. 6 is a block diagram of another image data output device according to an exemplary embodiment of the present application.
  • 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.
  • FIG. 7 is a block diagram of another image data output device according to an exemplary embodiment of the present application.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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 .
  • 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.
  • 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.

Abstract

La présente invention concerne un procédé et un appareil de sortie de données d'images et un dispositif électronique. Le procédé consiste : à déterminer un événement cible pour un objet cible (201) ; à acquérir des données d'images cibles correspondant à l'événement cible à partir de données d'image pré-stockées (202) ; et à émettre les données d'image cible dans une zone prédéfinie correspondant à l'objet cible sur une interface utilisateur (203).
PCT/CN2018/113567 2017-11-23 2018-11-02 Sortie de données d'image WO2019100925A1 (fr)

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CN201711182540.6A CN107943939A (zh) 2017-11-23 2017-11-23 图像数据推荐方法、装置及电子设备
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CN110990607B (zh) * 2019-11-25 2023-07-18 成都市喜爱科技有限公司 游玩照片筛选方法、装置、服务器和计算机可读存储介质

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