CN116775924A - Image display control method, device and equipment - Google Patents

Abstract

This application discloses an image display control method, device and equipment, which belongs to the technical field of image processing. The image display control method includes receiving a first input from a user to a target object node in an object relationship graph. The object relationship graph is a graph indicating an object relationship of at least two objects. The object relationship graph includes at least two object nodes, each object An object identifier is displayed on the node, the object identifier is used to indicate an object, and a connecting line is displayed between two objects with an object relationship; in response to the first input, at least one image containing the target object is displayed, and the target object is the target The object indicated by the target object ID displayed on the object node.

Description

Image display control method, device and equipment

Technical field

The present application belongs to the field of image processing technology, and specifically relates to an image display control method, device and equipment.

Background technique

With the widespread use of terminal devices such as mobile phones, users are increasingly using the camera function in terminal devices to take photos, and cameras have become one of the most frequently used applications in terminal devices.

Due to reasons such as users taking photos and saving images, a large number of images are often stored in terminal devices. When users need to find and browse images of a specific object, they need to browse through all the images in sequence, making it difficult for users to quickly find images containing a specific object from a large number of images. image.

Contents of the invention

The purpose of the embodiments of the present application is to provide an image display control method, device and equipment, which can facilitate users to quickly find images containing specific objects from a large number of images, and improve the convenience of image search.

In a first aspect, embodiments of the present application provide an image display control method, which method includes:

Receive a user's first input to a target object node in an object relationship graph, the object relationship graph being a graph indicating object relationships of at least two objects, the object relationship graph including at least two object nodes, each object node An object identifier is displayed, the object identifier is used to indicate an object, and a connecting line is displayed between two objects that have an object relationship;

In response to the first input, at least one image containing a target object is displayed, and the target object is an object indicated by the target object identification displayed on the target object node.

In a second aspect, embodiments of the present application provide an image display control device, which includes:

A receiving module configured to receive a user's first input to a target object node in an object relationship graph, where the object relationship graph is a graph indicating an object relationship of at least two objects, and the object relationship graph includes at least two object nodes, An object identifier is displayed on each object node, and the object identifier is used to indicate an object. A connecting line is displayed between two objects that have an object relationship;

A display module configured to, in response to the first input, display at least one image containing a target object, where the target object is an object indicated by a target object identifier displayed on the target object node.

In a third aspect, embodiments of the present application provide an electronic device. The electronic device includes a processor and a memory. The memory stores programs or instructions that can be run on the processor. The programs or instructions are processed by the processor. When the processor is executed, the steps of the method described in the first aspect are implemented.

In a fourth aspect, embodiments of the present application provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the programs or instructions are executed by a processor, the steps of the method described in the first aspect are implemented. .

In a fifth aspect, embodiments of the present application provide a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the first aspect. the method described.

In a sixth aspect, embodiments of the present application provide a computer program product, the program product is stored in a storage medium, and the program product is executed by at least one processor to implement the method as described in the first aspect.

In the embodiment of the present application, an object relationship graph is set to indicate the object relationship between at least two objects, and object identifiers are displayed on at least two object nodes included in the object relationship graph, and two objects with object relationships exist. A connecting line is displayed therebetween, and upon receiving the user's first input to the target object node in the object relationship graph, at least one image containing the target object indicated by the target object node may be displayed. In this way, since the object identifiers displayed on each object node in the object relationship graph respectively indicate an object, and the relationship between the objects indicated by each object identifier can be intuitively displayed through the object relationship graph, the user only needs to select One of the object nodes, such as the target object node, can quickly find and display at least one image containing the target object, which facilitates users to quickly find images containing specific objects from a large number of images, improving the convenience of image search.

Description of drawings

Figure 1 is a flow chart of an image display control method provided by some embodiments of the present application;

Figure 2 is a schematic diagram of a tree topology provided by some embodiments of the present application;

Figure 3 is a schematic diagram of a mesh topology provided by some embodiments of the present application;

Figure 4 is a schematic diagram of a display mode based on a folding screen electronic device provided by some embodiments of the present application;

Figure 5(a) is a schematic diagram of a map display method based on a direct-screen electronic device provided by some embodiments of the present application;

Figure 5(b) is a schematic diagram of an image display method based on a direct-screen electronic device provided by some embodiments of the present application;

Figure 6 is a flow chart of an image display control method provided by some embodiments of the present application;

Figure 7 is a schematic diagram of object recognition results provided by some embodiments of the present application;

Figure 8 is a schematic diagram of object labeling results provided by some embodiments of the present application;

Figure 9 is a structural block diagram of an image display control device provided by some embodiments of the present application;

Figure 10 is a structural block diagram of an electronic device provided by some embodiments of the present application;

Figure 11 is a schematic diagram of the hardware structure of an electronic device for implementing some embodiments of the present application.

Detailed ways

The technical solutions in the embodiments of the present application will be clearly described below with reference to the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art fall within the scope of protection of this application.

The terms "first", "second", etc. in the description and claims of this application are used to distinguish similar objects and are not used to describe a specific order or sequence. It is to be understood that the figures so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in orders other than those illustrated or described herein, and that "first," "second," etc. are distinguished Objects are usually of one type, and the number of objects is not limited. For example, the target object can be one or multiple, and multiple means at least two. In addition, "and/or" in the description and claims indicates at least one of the connected objects, and the character "/" generally indicates that the related objects are in an "or" relationship.

The image display control method, device, equipment and storage medium provided by the embodiments of the present application will be described in detail through specific embodiments and application scenarios in conjunction with the accompanying drawings.

The image display control method provided by the present application can be applied in an image browsing scenario. The image display control method provided by the embodiment of the present application will be described in detail below with reference to Figures 1-8. It should be noted that, for the image display control method provided by the embodiments of the present application, the execution subject may be an image display control device. In the embodiment of the present application, the image display control method executed by the image display control device is used as an example to illustrate the image display control method provided by the embodiment of the present application.

Figure 1 is a flow chart of an image display control method provided by an embodiment of the present application.

As shown in Figure 1, the image display control method at least includes steps: step 110 to step 140, which will be described in detail below.

Step 110: Receive the user's first input to the target object node in the object relationship graph. The object relationship graph is a graph indicating the object relationship of at least two objects. The object relationship graph includes at least two object nodes, and each object node displays There is an object identifier. The object identifier is used to indicate an object. A connecting line is displayed between two objects that have an object relationship.

In some embodiments of the present application, the object relationship graph may be a graph that the user calls up and displays from the program interface of an image storage application. The image storage application may be, for example, a photo album App (Application, application) or a gallery App. , camera App, image processing software, etc. The object relationship graph can include nodes corresponding to multiple objects, that is, object nodes. Each object node can be displayed as an object identifier corresponding to the corresponding object, and connections are displayed between object nodes corresponding to objects with object relationships. Wire.

In addition, the logos in this application are words, symbols, images, etc. used to indicate information. Controls or other containers can be used as carriers to display information, including but not limited to text logos, symbol logos, and image logos. The object identification may be information that can uniquely represent the object, and specifically may include at least one of the following: object image, object name, and object symbol.

In some embodiments of the present application, objects may include at least one of the following: characters, objects, animals, and scenery. Correspondingly, object relationships may include at least one of the following: character relationships, belonging relationships, and organizational relationships.

When the object is a character, the object identifier is specifically a character identifier, and the character identifier includes at least one of the following: character image, character name, and character symbol. When the object is an object, the object identifier is specifically an object identifier, and the object identifier includes at least one of the following: object image, object name, and object symbol. When the object is an animal, the object identifier is specifically an animal identifier, and the animal identifier includes at least one of the following: animal image, animal name, and animal symbol. When the object is a landscape, the object identifier is specifically a landscape identifier, and the landscape identifier includes at least one of the following: landscape image, scenery name, and landscape symbol.

Here, animals may include cats, dogs, etc., objects may include tables, chairs, electrical appliances, etc., for example, and scenery may include mountains, trees, waterfalls, etc., for example.

In this way, since the object can be a person, an object, an animal, or a landscape, the user can quickly and conveniently search for images of any type of object by selecting the object node in the object relationship graph, thereby improving the user's ability to find images containing The convenience of a specific image of a certain type of object.

In addition, the character relationship can be the relationship between people, the affiliation relationship can be the relationship between people and things, and the organizational relationship can be the organizational structure relationship of the enterprise.

Taking character relationships as an example, multiple character nodes can be displayed in the object relationship graph. A character image is displayed on each character node to indicate the character corresponding to the character image. There is a connection between two characters with object relationships. Lines, so that the object relationship map can be used to more intuitively reflect the relationship between various characters.

Taking the ownership relationship as an example, multiple character nodes and object nodes can be displayed in the object relationship graph. Each character node displays a character image to indicate the character corresponding to the character image, and each object node displays an object. The image is used to indicate the object corresponding to the object image, and connecting lines are displayed between characters and objects with object relationships, so that the attribution relationship between each character and each object can be more intuitively reflected by using the object relationship map.

Taking the organizational relationship as an example, multiple enterprise nodes can be displayed in the object relationship graph. Each enterprise node is displayed with an enterprise name to indicate the corresponding enterprise. A connecting line is displayed between two enterprises with an object relationship, so that The use of object relationship diagrams can more intuitively reflect the organizational relationships between various enterprises.

In addition, in some possible implementations, before the above step 110, the image display control method provided by this application may also include: displaying an object relationship map.

For example, the object relationship graph can be embodied in the form of a tree topology diagram, or can also be embodied in the form of a star or mesh topology diagram.

Taking the object relationship as a person relationship as an example, in some specific examples, as shown in Figure 2, a tree topology diagram used to indicate the person relationship between characters can be displayed. Among them, each node in the tree topology displays the character identification of each character, which may specifically include the character image and the character's name. For example, "Father" and its corresponding avatar are displayed on node 21, and "Mother" is displayed on node 22. ” and its corresponding avatar.

In other examples, as shown in FIG. 3 , a mesh topology diagram indicating relationships between characters may be displayed. Among them, each node in the network topology diagram can display the character identification of each person, which may specifically include character images, such as the father's avatar displayed on node 31 and the mother's avatar displayed on node 32.

In addition, the target object may be an object contained in the image that the user wants to find, wherein the target object node may be a node indicating the target object in the object relationship graph.

In some embodiments of the present application, when the user needs to search for an image containing a target object in the photo album, the above-mentioned first input can be used to select the node corresponding to the target object that the user wants to find, that is, the target object node. One input can be the first operation. Exemplarily, the above-mentioned first input includes but is not limited to: the user's click input on the target object node in the object relationship graph through a touch device such as a finger or a stylus, or a voice command input by the user, or a specific input input by the user. Gestures, or other feasible inputs, can be specifically determined according to actual usage requirements, and are not limited in the embodiment of the present invention. The specific gesture in the embodiment of the present application may be any one of a click gesture, a sliding gesture, a drag gesture, a pressure recognition gesture, a long press gesture, an area change gesture, a double press gesture, and a double click gesture; in the embodiment of the present application The click input can be single click input, double click input or any number of click input, etc. It can also be long press input or short press input.

For example, the above-mentioned first input may be: the user's finger click input on the object identifier displayed on the target object node in the object relationship graph. The above-mentioned first input may also be: a voice command indicating that the target object node is selected, issued by the user to the electronic device displaying the object relationship map based on the display interface of the object relationship map. The above-mentioned first input may also be: the user moves the check box in the object relationship graph through a sliding gesture, and when the check box stops on the target object node that the user wants to select, confirms the selection of the target object node through a click gesture.

Step 120: In response to the first input, display at least one image containing the target object, where the target object is the object indicated by the target object identification displayed on the target object node.

The images in this application can be static images or dynamic images, and their image formats include but are not limited to jpg, jpeg, bmp, tif, gif, png and other formats.

In some embodiments of the present application, multiple images may be pre-stored in an electronic device, such as multiple images stored in a photo album. The electronic device may be, for example, a mobile phone, a computer, a tablet, or other device capable of storing and displaying images. The multiple images may include images taken by the user, or may include images downloaded and saved by the user from the network or application, without limitation. Additionally, each image can include one or more objects.

In addition, the final image to be displayed in this application is determined according to the target object node selected by the user.

For example, when the user clicks to select a target object node in the object relationship graph, one or more images containing a target object corresponding to the node can be found from multiple stored images, and these images can be displayed. image. In this way, by the user selecting the target object node in the object relationship graph, at least one image containing a target object indicated by the target object node can be displayed, which can facilitate the user to quickly locate the image of the object to be found and reduce the image. Search range, making it easy for users to quickly find images of specific objects.

In other embodiments of the present application, when the user clicks to select two target object nodes in the object relationship graph, the image containing the two target objects corresponding to the two nodes can be found from multiple stored images. One or more group photo images and display the group photo images. In this way, when the user selects multiple target object nodes in the object relationship graph, at least one group photo image containing multiple target objects indicated by the multiple target object nodes can be displayed, which can facilitate the user to quickly locate the object that needs to be found. Group photos of multiple objects narrow the scope of image search, making it easier for users to quickly find group photos of specific multiple objects.

Thus, by displaying an object relationship graph indicating an object relationship between at least two objects, and displaying object identifiers on at least two object nodes included in the object relationship graph, and displaying an object relationship between two objects where an object relationship exists, The connecting line can display at least one image containing the target object indicated by the target object node upon receiving the user's first input to the target object node in the object relationship graph. In this way, the object relationship graph can intuitively display the relationship between the objects indicated by each object identifier, which facilitates the user to quickly find any one through the first input of any object node in the object relationship graph. Or images of multiple objects, allowing users to quickly find images containing specific objects from a large number of images.

Based on this, in some embodiments of the present application, if the character relationship map shown in Figure 2 is displayed on the electronic device, the map includes a total of 8 characters: me, brother, father, mother, grandfather, grandma, grandpa, and grandma. , among them, the relationship between my brother and I is a brother-sister relationship, the relationship between my father and I is a father-daughter relationship, the relationship between my mother and I is a mother-daughter relationship, the relationship between my brother and my father is a father-son relationship, and the relationship between my brother and my mother is a mother-son relationship. , the relationship between father and mother is husband and wife, the relationship between father and grandpa is father-son relationship, the relationship between father and grandma is mother-son relationship, the relationship between grandpa and grandma is husband and wife, the relationship between mother and grandpa is father-daughter relationship, the relationship between mother and grandma The relationship between them is mother and daughter, and the relationship between grandpa and grandma is husband and wife. When the user needs to search for images of his father, he can search and display all images 42 containing his father by clicking on the object node 401 used to indicate his father, as shown in FIG. 4 .

In addition, in other embodiments of the present application, if the person relationship map shown in Figure 2 is displayed on the electronic device, and the user needs to find the image of the mother, in the same way, the user can click to indicate the mother. Object node 22, thereby finding and displaying all images containing the mother.

The image display control method of the embodiment of the present application is applicable to electronic equipment of various display screen types. Specifically, the electronic equipment to which the image display control method of the embodiment of the present application is applicable includes but is not limited to straight-screen electronic equipment and curved-screen electronic equipment. , foldable screen electronic equipment. Among them, the display screen of direct screen electronic equipment is flat, the edge of the display screen of curved screen electronic equipment is a curved surface, and the display screen of folding screen electronic equipment can be folded. In addition, for electronic devices with different display screen types, image display can be performed in different ways.

For example, for an electronic device with a folding screen, in some embodiments, before the above step 110, the image display control method provided by the embodiment of the present application may also include:

Display the object relationship diagram in the first screen area;

Correspondingly, the above step 120 may specifically include:

At least one image containing the target object is displayed in the second screen area.

Here, the first screen area and the second screen area are areas in different display screens, or the first screen area and the second screen area are different areas in the same display screen. For example, the first screen area and the second screen area may be two different display screens in a folding screen electronic device, or they may be different display areas after the same display screen is unfolded, which is not limited here. Among them, the folding screen can be a flexible screen or a folding screen with a rotation axis in the middle or on the edge.

In some embodiments of the present application, as shown in FIG. 4 , a tree topology diagram 41 can be displayed on the left display screen of the folding screen electronic device. If the user clicks to select the icon in the tree topology diagram 41 used to indicate the father. Object node 401, then the image containing the father can be found from the plurality of stored images, and all the found images 42 containing the father can be displayed on the right display screen of the folding screen electronic device.

In this way, by displaying the object relationship map in the first screen area and displaying the image of the target object indicated by the target object node selected by the user in the second screen area, it is convenient for the user to click to switch images of different objects at any time based on the object relationship map. Moreover, the display area of the folding screen electronic device can be fully utilized, thereby improving the utilization rate of the display area in the folding screen.

For electronic devices with ordinary display screens, in some embodiments of the present application, before the above step 110, the image display control method provided by the embodiment of the present application may also include:

Display the object relationship diagram in the target interface;

Correspondingly, the above step 120 may specifically include:

At least one image containing the target object is displayed in a floating window, wherein the floating window is displayed in a floating manner on the target interface.

Here, the target interface may be, for example, any interface displayed on the electronic device, and the interface may be an interface in any application program. The floating window may be, for example, a window displayed suspended on the target interface.

In some embodiments of the present application, as shown in Figure 5(a) , the tree topology diagram 51 can be displayed in the interface 50 of the direct-screen electronic device. If the user clicks to select the object node 501 in the tree topology diagram 51, And the object indicated by the object identifier displayed on the object node 501 is the father, then the image containing the father can be found from the multiple stored images, and the search is displayed in the floating window 52 as shown in Figure 5(b) to contain all images of the father.

In this way, by displaying the object relationship map in the target interface and displaying the image of the target object indicated by the target object node selected by the user in the floating window, limited screen resources can be used to display more information, making it convenient for the user to use object relationships at any time. Click on the map to switch images of different objects.

In addition, in some implementations, before the above step 110, the image display control method provided by the embodiment of the present application may also include steps as shown in Figure 6: step 610 to step 640, which will be described in detail below.

Step 610: Perform object recognition on at least two reference images to obtain at least two objects.

Here, the reference image may be an image pre-stored in the electronic device, including but not limited to images taken by the user, and images downloaded and saved by the user from the network or application. In addition, different recognition technologies can be used for object recognition according to different types of objects. For example, when the object is a person, face recognition technology can be used for object recognition; when the object is an object, object recognition technology can be used for object recognition; when the object is an animal, biometric recognition technology can be used Carry out object recognition; when the object is a landscape, image feature recognition technology can be used for object recognition.

For example, object recognition can be performed on multiple reference images stored in the electronic device, and the same object can be clustered to obtain multiple different objects. Taking the object as a person as an example, face recognition can be performed on multiple images in the mobile phone, and the same person can be clustered to obtain multiple different people.

Step 620: Obtain the object relationship between at least two objects.

In some embodiments of the present application, the object relationship between objects can be configured by the user or automatically recognized, which is not limited here.

Based on this, in some embodiments, when the object includes a person and the object relationship includes a person relationship, the above step 620 may specifically include:

Pick out at least two face images from at least two reference images, and the at least two face images are face images of different people;

Receive the user's mark input for the target face image among the at least two face images obtained, and the mark input is used to input the person's title;

In response to the mark input, determine the person corresponding to the target face image as the reference person;

Receive tag input from the user for other face images that have been picked out, and the tag input is used to input the person’s title;

In response to the mark input, based on the character name entered in the mark input, the character relationship between the character corresponding to each face image and the reference character is determined.

Here, the face image may be an image containing a person's face extracted from the reference image. Different face images can be extracted for different people, that is, the face images obtained are face images of different people. Among them, the face image extraction method may be to find the outline of the face area in the image based on a plurality of preset face feature points, and then intercept the image of the area corresponding to the outline.

For example, based on the reference image corresponding to each person, when there is only one reference image containing a certain person, the image of the person's face can be directly extracted from the reference image to obtain the person's face. Image; when there are multiple reference images containing a certain person, the target reference image can be determined from the multiple reference images corresponding to the person, and then the image of the person's face can be extracted from the target reference image. Get the face image of the character. The target reference image may be an image randomly selected from multiple reference images containing the person, or the most recently stored image among the multiple reference images containing the person, or it may be an image selected from the reference images containing the person according to preset selection rules. Select the image with the best image effect among the images. Here, the preset selection rules may include at least one of the rules of best lighting, smallest facial declination, and highest definition.

For example, as shown in Figure 7, if there are four people recognized from multiple reference images, the face images 70 corresponding to the four people can be displayed. The face images 70 can be obtained from the reference images corresponding to the respective characters. After selecting the image with the best image effect among the images, the face image of the character is intercepted from the image. Among them, the image with the best image effect may be, for example, the image with the best light on the person's face, the image with the smallest declination of the person's face, or the image with the highest definition of the person's face.

In addition, the mark input may be an input of adding a person's title to the face image corresponding to each person. This input may be input through an input method keyboard, for example, or may be input by selecting from multiple preset title tags. Different person titles may correspond to different character relationships. Based on this, after the user inputs the character titles, the character relationships between the characters corresponding to the marked face images can be determined based on the character titles.

In some specific examples, the user can mark each person based on the face image shown in Figure 7. For example, as shown in Figure 8, you can first mark "I", and then add the face image 81 marked as "I" to all the characters. The corresponding person is determined as the reference person, and then other face images are marked, face image 82 is marked as "father", face image 83 is marked as "mother", and face image 84 is marked as "younger brother". In this way, the system can automatically determine the relationship between the characters corresponding to each face image and the reference character based on the character names marked in each character image. For example, after labeling "father", "mother" and "I", the father-child relationship between "father" and "me", the mother-child relationship between "mother" and "me", and the relationship between "father" and "me" can be determined. The relationship between husband and wife between "mothers", etc.

In addition, after determining the object relationship between each object, an object relationship graph can be constructed with the objects as nodes and the object relationships between objects as connecting lines, and the adjacency matrix corresponding to the object relationship graph can be determined, and then each object can be The object relationships between objects are stored in an adjacency matrix to store the object relationships between each object. Of course, the object relationship between each object can also be stored through a mapping table, which is not limited here.

In this way, by the user adding tags to the face images corresponding to the recognized characters, the character relationship between each of the tagged characters can be accurately determined, and then an object relationship graph can be constructed based on the character relationship in subsequent steps, and The corresponding image is displayed in association.

Step 630: Obtain object information of at least two objects. The object information includes at least one of the following: object image, object name, and object relationship title.

Here, when the object is a person, the object image may be, for example, a face image, the object name may be, for example, the person's name, and the object relationship title may be, for example, father, mother, or other titles related to the person's relationship.

For example, the object information may be obtained by user input, or may be obtained indirectly based on the information input by the user, which is not limited here.

It should be noted that step 630 can be executed after step 620, before step 620, or simultaneously with step 620, which is not limited in this application.

Step 640: Generate an object relationship map based on the object relationship between at least two objects and the object information of at least two objects.

Here, the object relationship graph may include object nodes corresponding to multiple objects, each object node may display object information of the indicated object, and there are connecting lines between object nodes corresponding to objects with object relationships.

In some embodiments of the present application, as shown in Figure 2, in addition to displaying the object image of the indicated object on the object node, the object relationship title can also be displayed below the object image. For example, "Father" is displayed below the face image 21 displayed on the father node, and "Mother" is displayed below the face image 22 displayed on the mother node.

In other embodiments of the present application, as shown in Figure 3, in addition to displaying the object image of the indicated object on the object node, the relationship between the objects indicated by the object nodes at both ends can also be displayed on the connecting line. information. For example, "couple" is displayed on the connection line between the object node 31 and the object node 32, and "father and son" are displayed on the connection line between the object node 31 and the object node 33.

In addition, after the user marks each face image, the user can manually trigger the generation of the object relationship map.

For example, the interface shown in Figure 8 can also display a functional control for triggering the generation of an object relationship diagram, that is, the "generate relationship diagram" control 85. After the user has added the mark, he can click the control 85 to trigger the generation of the object relationship diagram. Corresponding object relationship diagram.

In this way, by identifying the objects contained in the reference image and obtaining the object relationships between the objects, an object relationship graph is generated with the objects as nodes and the object relationships between the objects as connecting lines. In this way, the user can intuitively understand the object relationship between each object through the object relationship map, which facilitates the user to quickly locate the image containing the specific object that he wants to find and browse, thereby reducing the user's difficulty in quickly finding a specific object from a large number of images. The difficulty of the object's image.

In addition, when the object includes a character, the object relationship includes a character relationship, and the at least two reference images are stills in the target play, the at least two reference images may include N play characters, where N is greater than 1 integer. Based on this, in some implementations, the above step 620 may specifically include:

Obtain play information related to N play characters in the target play, where the play information includes at least one of the following: play name, character introduction information of N play characters;

According to the play information, the character relationships between N play characters are determined.

Here, the play type of the target play includes but is not limited to TV series, movies, dramas, novels, etc.

For example, by identifying the play characters contained in the stills, the play information of the target play related to the play characters can be queried from the network or locally loaded data. The play information includes but is not limited to the play name. , character introduction information of the characters in the play, etc. By extracting the relationship information between each drama character from the drama information, the character relationship between the multiple drama characters can be determined.

For example, by identifying the film and television drama characters contained in the stills of the target film and television drama, the relevant information of the target film and television drama corresponding to the film and television drama characters can be queried from the network, such as the name of the film and television drama, the introduction information of each character in the film and television drama, etc., from From the introduction information of each character, the relationship between characters in various film and television dramas can be extracted.

For another example, by identifying the novel characters contained in the illustrations of the target novel, the relevant information of the target novel corresponding to the novel character can be queried from the network, such as the name of the novel, the introduction information of each character in the novel, etc., and the information of each character can be obtained from the introduction information of each character. The character relationships between various novel characters can be extracted.

In this way, by obtaining the drama information related to the drama characters displayed in the image, the character relationships between multiple drama characters can be automatically extracted, so as to construct an object relationship map for the multiple characters.

In addition, when some images of the drama characters are missing from multiple reference images, the images corresponding to the missing drama characters can be downloaded from the network based on the obtained drama information, and their face images can be extracted. Based on the character relationships between the characters in the target play, generate and display an object relationship map corresponding to the target play, where the object relationship map can be based on the faces corresponding to the characters in the target play Images are nodes, and the object relationships between characters in the play are diagrams of connecting lines.

In this way, by completing the character images, it is convenient for the user to view the character relationships between the characters in the target drama, and it is also convenient for the user to view and browse the images corresponding to the characters in each drama.

In addition, in some embodiments, in addition to obtaining play information online from the network and identifying the relationships between characters in each play through the play information, the content of the article can also be automatically identified from the article by importing the article. The character relationships between the characters in each play, and a corresponding relationship map is generated based on the character relationships, and then the images corresponding to the characters in each play are displayed based on the relationship map. The display method is the same as before, and will not be described again here.

In addition, in some embodiments, before the above step 610, it also includes:

Classify at least two reference images according to at least two image classification dimensions to obtain image sets corresponding to at least two image types under each image classification dimension, where the image classification dimensions include time, theme, location, event, and person. at least one of;

Based on this, the above step 620 may specifically include:

For the image collection corresponding to each image type under each image classification dimension, establish an object relationship between at least two objects contained in at least two reference images in each image collection;

Among them, one image classification dimension corresponds to generating an object relationship map.

For example, when the image classification dimension includes time, the reference images can be classified according to the shooting time of the reference images, and the reference images taken in the same time period are divided into one image set, for example, those taken in 2021 The reference images are divided into an image collection, and the reference images taken within 2022 are divided into an image collection. In this way, object relationships can be established between different objects contained in each reference image in an image collection, so as to establish a connection line between object nodes corresponding to any two objects in the image collection. In addition, the images taken in each year can also be used as a large node, connected to the nodes corresponding to the images taken in the previous year, and to the nodes corresponding to the images taken in the next year. In this way, the corresponding object relationship map in the time dimension can be generated.

In some embodiments of the present application, when the preset dimensions include themes, for example, multiple stored reference images can be classified according to themes such as travel, sports, outings, etc. Taking sports as an example, such as basketball themes, the The objects contained in all reference images under the theme are listed, and new object relationships are generated between different objects according to the basketball theme. In this way, the corresponding object relationship map under the topic dimension can be generated.

In some embodiments of the present application, when the image classification dimension includes location, the reference images can be classified according to the shooting location of the reference images, and the reference images captured within the same location area can be divided into an image set. For example, the reference images taken within the scope of city A are divided into one image set, and the reference images taken within the scope of city B are divided into one image set. In this way, an object relationship can be established between different objects contained in each reference image in an image collection, that is, an object relationship can be established between objects that have been to the same place, so that any two objects in the image collection correspond to each other. Establish connection lines between object nodes. In this way, the corresponding object relationship map in the location dimension can be generated.

In some embodiments of the present application, when the preset dimensions include events, the reference images can be classified according to the events recorded by the reference images, and the reference images recording the same events can be divided into an image set, for example, Reference images recording wedding events are divided into an image set, and reference images recording meeting events are divided into an image set. In this way, an object relationship can be established between different objects contained in each reference image in an image collection, that is, an object relationship can be established between objects that have experienced the same event, so that any two objects in the image collection correspond to each other. Establish connection lines between object nodes. In this way, the corresponding object relationship graph in the event dimension can be generated.

In some embodiments of the present application, when the preset dimensions include people, for example, multiple stored reference images can be classified according to the characters' emotional themes such as joy, anger, sorrow, joy, etc., such as the theme of joy, and all references under this theme can be classified. The objects contained in the image are listed, and new object relationships are generated between different objects according to the theme of joy. In this way, the corresponding object relationship map in the character dimension can be generated.

In addition, the reference image can also be classified according to the image classification dimensions containing two or more factors, and then an object relationship map can be generated correspondingly.

Based on this, in some embodiments of the present application, when the image classification dimensions include time and location, the reference images can be classified according to the shooting time and shooting location of the reference images, and the reference images can be classified into the same location area within the same time period. The reference images taken within 2021 are divided into an image set. For example, all the reference images taken in city A in 2021 are divided into an image set, and all the reference images taken in city B in 2022 are divided into an image set. In this way, object relationships can be established between different objects contained in each reference image in an image collection, that is, a new object relationship can be established between objects that have been to the same place in the same time period, so that any object in the image collection can be A connection line is established between the object nodes corresponding to the two objects. In this way, an object relationship map corresponding to the two dimensions including time and location can be generated.

In other embodiments of the present application, when the image classification dimensions include events and people, the reference images can be classified according to the events and people's expressions recorded in the reference images, and the images with the same people's expressions under the same event can be classified. The reference images are divided into an image set, for example, all reference images with happy expressions in the wedding event are divided into one image set, and all reference images with sad expressions in the wedding event are divided into one image set. In this way, object relationships can be established between different objects contained in each reference image in an image collection, that is, a new object relationship can be established between characters with the same expression in the same event, so that any object in the image collection can be A connecting line is established between the object nodes corresponding to the two characters. In this way, an object relationship map corresponding to the two dimensions including events and characters can be generated.

In this way, by classifying images from multiple preset dimensions and establishing object relationships between different objects contained in each reference image in the image set corresponding to each image category, different object relationships can be generated from different angles. Map, users can choose object relationship maps of various dimensions for image browsing, which can make the image browsing process more interesting.

In addition, when the number of images containing the target object is at least two, in some embodiments, the above step 120 may specifically include:

Determine at least two age groups corresponding to the target object in at least two images containing the target object;

Cluster the at least two images according to at least two age groups corresponding to the target object in the at least two images to obtain images corresponding to each age group;

Display images corresponding to at least two age groups in chronological order of at least two age groups.

Here, in order to further facilitate the user to find images of a specific object in a specific age group, the images in which the target object is in the same age group can be clustered by determining the age group of the target object in each image containing the target object. , and then the corresponding images of the target object in different age groups can be obtained.

Exemplarily, the above-mentioned method of determining the age group corresponding to the target object included in each image includes, but is not limited to, obtaining the shooting time corresponding to the image, and using the correspondence between the shooting time and each age group of the target object to determine The age group of the target audience corresponding to the time each image was taken. Of course, you can also build an age group recognition model to identify the age group of the target object in the image, thereby estimating the age group of the target object contained in each image.

In some specific examples, multiple images can be classified according to multiple age groups corresponding to the target person, for example, every two years old is an age group, every three years old is an age group, and based on the chronological order between each age group , arrange the images corresponding to the target person in different age groups, and display them by age group.

In this way, by arranging and displaying multiple images containing the target object according to different age groups of the target object, it can further facilitate the user to find images of a specific object of a specific age group, thereby further reducing the user's difficulty in quickly finding a specific image from a large number of images. Difficulty.

In addition, in other implementations, the image display control method provided by the embodiment of the present application may also include:

Receive second input from the user to M object nodes in the object relationship graph, where M is an integer greater than 1; M object identifiers displayed on the M object nodes indicate M objects;

In response to the second input, if there is a group photo image containing M objects, display the group photo image;

In response to the second input, if there is no group photo image containing M objects, prompt information is output. The prompt information is used to remind the user that there is no group photo image containing M objects, and to prompt the user to take a group photo containing M objects. image.

Here, the second input may be the user's selection input of multiple object nodes in the object relationship graph. The input method of the selection input includes but is not limited to single click, double click, long press, etc.

For example, if the user selects multiple object nodes in the object relationship graph at the same time, a group photo image containing multiple objects indicated by the selected multiple object nodes may be displayed. In addition, if there is no group photo image containing the selected multiple objects in the multiple reference images stored by the electronic device, corresponding prompt information can be output to remind the user that the group photo image does not exist, and prompt the user to take a photo containing the multiple objects. A group photo of objects. Among them, the output method of prompt information includes but is not limited to graphic display method, sound prompt method, vibration prompt method and any combination thereof, etc., which are not limited here.

In this way, by simultaneously selecting M object nodes in the object relationship graph and displaying a group photo containing the objects indicated by the M object nodes, it is convenient for the user to quickly find images containing multiple specific objects, thereby further reducing the user's need for a large number of How difficult it is to quickly find a specific image within an image.

It should be noted that the application scenarios described in the above embodiments of the present disclosure are for the purpose of more clearly explaining the technical solutions of the embodiments of the present disclosure, and do not constitute a limitation on the technical solutions provided by the embodiments of the present disclosure. Those of ordinary skill in the art will know that With the emergence of new application scenarios, the technical solutions provided by the embodiments of the present disclosure are also applicable to similar technical problems.

Based on the same inventive concept, this application also provides an image display control device. The image display control device provided by the embodiment of the present application will be described in detail below with reference to FIG. 9 .

Figure 9 is a structural block diagram of an image display control device provided by an embodiment of the present application.

As shown in Figure 9, the image display control device 700 may include:

The receiving module 701 is configured to receive the user's first input to the target object node in the object relationship graph. The object relationship graph is a graph indicating the object relationship of at least two objects. The object relationship graph includes at least two object nodes. , an object identifier is displayed on each object node, the object identifier is used to indicate an object, and a connecting line is displayed between two objects with an object relationship;

The display module 702 is configured to, in response to the first input, display at least one image containing a target object, where the target object is an object indicated by the target object identifier displayed on the target object node.

The above image display control device 600 will be described in detail below, as follows:

In one of the embodiments, the display module 702 is also used to:

before receiving a user's first input to a target object node in the object relationship graph, displaying the object relationship graph;

The objects include at least one of the following: characters, objects, animals, scenery;

The object relationship includes at least one of the following: character relationship, belonging relationship, and organizational relationship.

In one embodiment, the above-mentioned image display control device 700 further includes:

A recognition module, used to perform object recognition on at least two reference images to obtain at least two objects;

An acquisition module, configured to acquire the object relationship between the at least two objects, and acquire the object information of the at least two objects, where the object information includes at least one of the following: object image, object name, object relationship title;

A generating module, configured to generate an object relationship graph based on the object relationship between the at least two objects and the object information of the at least two objects.

In one embodiment, the object includes a character, and the object relationship includes a character relationship;

The acquisition module is specifically used for:

Pick out at least two face images from the at least two reference images, where the at least two face images are face images of different people;

Receive the user's mark input for the target face image among the at least two face images obtained, where the mark input is used to input the person's title;

In response to the mark input, determine the person corresponding to the target face image as the reference person;

Receive the user's tag input for other acquired face images, where the tag input is used to input the person's title;

In response to the mark input, a character relationship between the character corresponding to each face image and the reference character is determined based on the character title input by the mark input.

In one embodiment, the objects include characters, and the at least two reference images are stills in the target play; the at least two reference images include N play characters; N is an integer greater than 1;

The acquisition module is also specifically used for:

Obtain drama information related to the N drama characters in the target drama, wherein the drama information includes at least one of the following: drama title, character introduction information of the N drama characters;

Based on the play information, character relationships between the N play characters are determined.

In one embodiment, the above-mentioned image display control device 700 further includes:

A classification module configured to perform object recognition on at least two reference images to obtain at least two objects, classify the at least two reference images according to at least two image classification dimensions, and obtain at least one object under each image classification dimension. A collection of images corresponding to two image types, wherein the image classification dimensions include at least one of time, theme, location, event, and person;

The acquisition module is also specifically used for:

For the image collection corresponding to each image type under each image classification dimension, establish an object relationship between at least two objects contained in at least two reference images in each image collection;

Among them, one image classification dimension corresponds to generating an object relationship map.

In one embodiment, the display module 902 is also used to:

before receiving a first input from a user to a target object node in the object relationship graph, displaying the object relationship graph in the first screen area; and,

Display at least one image containing the target object in the second screen area; wherein the first screen area and the second screen area are areas in different display screens, or the first screen area and the third screen area are The two screen areas are different areas in the same display screen.

In one embodiment, the display module 902 is also used to:

Before receiving the user's first input to the target object node in the object relationship graph, display the object relationship graph in the target interface; and,

At least one image containing the target object is displayed in a floating window, wherein the floating window is displayed in a floating manner on the target interface.

In one embodiment, when the number of images containing the target object is at least two, the display module 902 is specifically used to:

Determining at least two age groups corresponding to the target object in at least two images containing the target object;

Clustering the at least two images according to at least two age groups corresponding to the target object in the at least two images to obtain images corresponding to each age group;

Images corresponding to the at least two age groups are displayed in chronological order of the at least two age groups.

In one embodiment, the receiving module 901 is also used to:

Receive second input from the user to M object nodes in the object relationship graph, where M is an integer greater than 1; M object identifiers displayed on the M object nodes indicate M objects;

The display module 902 is also used to:

In response to the second input, if there is a group photo image containing the M objects, display the group photo image;

In response to the second input, if there is no group photo image containing the M objects, prompt information is output, the prompt information is used to remind the user that there is no group photo image containing the M objects, and prompts The user takes a group photo image containing the M objects.

Thus, by setting an object relationship graph indicating an object relationship between at least two objects, and displaying object identifiers on at least two object nodes included in the object relationship graph, and displaying an object relationship between two objects that have an object relationship. The connecting line can display at least one image containing the target object indicated by the target object node upon receiving the user's first input to the target object node in the object relationship graph. In this way, the object relationship graph can intuitively display the relationship between the objects indicated by each object identifier, which facilitates the user to quickly find any object node through the first input of any object node in the object relationship graph. Images of objects, allowing users to quickly find images containing specific objects from a large number of images.

The image display control device in the embodiment of the present application may be an electronic device, or may be a component in the electronic device, such as an integrated circuit or chip. The electronic device may be a terminal or other devices other than the terminal. For example, the electronic device may be a mobile phone, a tablet computer, a notebook computer, a handheld computer, a vehicle-mounted electronic device, a mobile Internet device (MID), or augmented reality (AR)/virtual reality (VR). ) equipment, robots, wearable devices, ultra-mobile personal computers (UMPC), netbooks or personal digital assistants (personal digital assistants, PDA), etc., and can also be network attached storage (Network Attached Storage, NAS), A personal computer (PC), a television (TV), a teller machine or a self-service machine, etc. are not specifically limited in the embodiments of this application.

The image display control device in the embodiment of the present application may be a device with an operating system. The operating system can be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiments of this application.

The image display control device provided by the embodiment of the present application can implement various processes implemented by the method embodiments of Figures 1 to 8. To avoid duplication, they will not be described again here.

Optionally, as shown in Figure 10, this embodiment of the present application also provides an electronic device 1000, which includes a processor 1001 and a memory 1002. The memory 1002 stores programs or instructions that can be run on the processor 1001. When the program or instruction is executed by the processor 1001, each step of the above image display control method embodiment is implemented, and the same technical effect can be achieved. To avoid duplication, the details will not be described here.

It should be noted that the electronic devices in the embodiments of the present application include the above-mentioned mobile electronic devices and non-mobile electronic devices.

Figure 11 is a schematic diagram of the hardware structure of an electronic device that implements an embodiment of the present application.

The electronic device 1100 includes but is not limited to: radio frequency unit 1101, network module 1102, audio output unit 1103, input unit 1104, sensor 1105, display unit 1106, user input unit 1107, interface unit 1108, memory 1109, processor 1110, etc. part.

Those skilled in the art can understand that the electronic device 1100 may also include a power supply (such as a battery) that supplies power to various components. The power supply may be logically connected to the processor 1110 through a power management system, thereby managing charging, discharging, and function through the power management system. Consumption management and other functions. The structure of the electronic device shown in Figure 10 does not constitute a limitation on the electronic device. The electronic device may include more or less components than shown in the figure, or combine certain components, or arrange different components, which will not be described again here. .

Among them, the user input unit 1107 is used to receive the user's first input to the target object node in the object relationship graph. The object relationship graph is a graph indicating the object relationship of at least two objects. The object relationship graph includes at least two objects. object nodes, each object node displays an object identifier, the object identifier is used to indicate an object, and a connecting line is displayed between two objects that have an object relationship;

The display unit 1106 is configured to, in response to the first input, display at least one image containing a target object, where the target object is an object indicated by the target object identifier displayed on the target object node.

Thus, by setting an object relationship graph indicating an object relationship between at least two objects, and displaying object identifiers on at least two object nodes included in the object relationship graph, and displaying an object relationship between two objects that have an object relationship. The connecting line can display at least one image containing the target object indicated by the target object node upon receiving the user's first input to the target object node in the object relationship graph. In this way, the object relationship graph can intuitively display the relationship between the objects indicated by each object identifier, which facilitates the user to quickly find any object node through the first input of any object node in the object relationship graph. Images of objects, allowing users to quickly find images containing specific objects from a large number of images.

Optionally, the display unit 1106 is also used to display the object relationship map;

Optionally, the processor 1110 is configured to perform object recognition on at least two reference images to obtain at least two objects; obtain the object relationship between the at least two objects; obtain object information of the at least two objects, The object information includes at least one of the following: object image, object name, object relationship title; based on the object relationship between the at least two objects and the object information of the at least two objects, an object relationship map is generated.

Optionally, the processor 1110 is also configured to extract at least two face images from the at least two reference images, where the at least two face images are face images of different people;

The user input unit 1107 is also used to receive the user's mark input for the target face image among the at least two face images obtained, where the mark input is used to input the person's title;

The processor 1110 is further configured to determine the person corresponding to the target face image as a reference person in response to the mark input;

The user input unit 1107 is also used to receive the user's mark input for other acquired face images, where the mark input is used to input the person's title;

The processor 1110 is further configured to respond to the mark input and determine the character relationship between the character corresponding to each face image and the reference character based on the character title input by the mark input.

Optionally, the processor 1110 is also configured to obtain drama information related to the N drama characters in the target drama, wherein the drama information includes at least one of the following: drama name, the N drama characters Character introduction information of the drama characters; based on the drama information, the character relationships between the N drama characters are determined.

Optionally, the processor 1110 is also configured to classify the at least two reference images according to at least two image classification dimensions to obtain image sets corresponding to at least two image types under each image classification dimension, wherein the The above-mentioned image classification dimensions include at least one of time, theme, place, event, and person; for the image collection corresponding to each image type under each image classification dimension, establish the image collection contained in at least two reference images in each image collection. The object relationship between at least two objects; wherein, one image classification dimension corresponds to generate an object relationship map. .

Optionally, the display unit 1106 is also configured to display an object relationship map in the first screen area; display at least one image containing the target object in the second screen area; wherein the first screen area and the third screen area The two screen areas are areas in different display screens, or the first screen area and the second screen area are different areas in the same display screen.

Optionally, the display unit 1106 is also configured to display an object relationship map in the target interface; and display at least one image containing the target object in a floating window, where the floating window is displayed in a floating manner on the target interface.

Optionally, the processor 1110 is also configured to determine at least two age groups corresponding to the target object in at least two images containing the target object; according to at least two age groups corresponding to the target object in the at least two images. Age group, cluster the at least two images to obtain images corresponding to each age group;

The display unit 1106 is also configured to display images corresponding to the at least two age groups in the chronological order of the at least two age groups.

Optionally, the user input unit 1107 is also used to receive the user's second input to M object nodes in the object relationship graph, where M is an integer greater than 1; the M objects displayed on the M object nodes The identifier indicates M objects;

The display unit 1106 is further configured to respond to the second input and, if there is a group photo image containing the M objects, display the group photo image;

The processor 1110 is further configured to respond to the second input and, if there is no group photo image containing the M objects, output prompt information, where the prompt information is used to prompt the user that there is no group photo containing the M objects. A group photo image of the object, and prompts the user to take a group photo image containing the M objects.

It should be understood that in this embodiment of the present application, the input unit 1104 may include a graphics processor (Graphics Processing Unit, GPU) 11041 and a microphone 11042. The graphics processor 11041 is responsible for the image capture device (such as Process the image data of still pictures or videos obtained by the camera). The display unit 1106 may include a display panel 11061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like. The user input unit 1107 includes at least one of a touch panel 11071 and other input devices 11072 . Touch panel 11071, also called touch screen. The touch panel 11071 may include two parts: a touch detection device and a touch controller. Other input devices 11072 may include but are not limited to physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be described again here.

Memory 1109 may be used to store software programs as well as various data. The memory 1109 may mainly include a first storage area for storing programs or instructions and a second storage area for storing data, wherein the first storage area may store an operating system, an application program or instructions required for at least one function (such as a sound playback function, Image playback function, etc.) etc. Additionally, memory 1109 may include volatile memory or nonvolatile memory, or memory 1109 may include both volatile and nonvolatile memory. Among them, the non-volatile memory can be read-only memory (Read-Only Memory, ROM), programmable read-only memory (Programmable ROM, PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically removable memory. Erase programmable read-only memory (Electrically EPROM, EEPROM) or flash memory. Volatile memory can be random access memory (Random Access Memory, RAM), static random access memory (Static RAM, SRAM), dynamic random access memory (Dynamic RAM, DRAM), synchronous dynamic random access memory (Synchronous DRAM, SDRAM), double data rate synchronous dynamic random access memory (Double Data Rate SDRAM, DDRSDRAM), enhanced synchronous dynamic random access memory (Enhanced SDRAM, ESDRAM), synchronous link dynamic random access memory (Synch link DRAM) , SLDRAM) and direct memory bus random access memory (Direct Rambus RAM, DRRAM). Memory 1109 in embodiments of the present application includes, but is not limited to, these and any other suitable types of memory.

The processor 1110 may include one or more processing units; optionally, the processor 1110 integrates an application processor and a modem processor, where the application processor mainly handles operations related to the operating system, user interface, application programs, etc., Modem processors mainly process wireless communication signals, such as baseband processors. It can be understood that the above modem processor may not be integrated into the processor 1110.

Embodiments of the present application also provide a readable storage medium. Programs or instructions are stored on the readable storage medium. When the program or instructions are executed by a processor, each process of the above image display control method embodiment is implemented, and can achieve The same technical effects are not repeated here to avoid repetition.

Wherein, the processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes computer readable storage media, such as computer read-only memory ROM, random access memory RAM, magnetic disk or optical disk, etc.

An embodiment of the present application further provides a chip. The chip includes a processor and a communication interface. The communication interface is coupled to the processor. The processor is used to run programs or instructions to implement the above embodiments of the image display control method. Each process can achieve the same technical effect. To avoid repetition, we will not go into details here.

It should be understood that the chips mentioned in the embodiments of this application may also be called system-on-chip, system-on-a-chip, system-on-a-chip or system-on-chip, etc.

Embodiments of the present application provide a computer program product. The program product is stored in a storage medium. The program product is executed by at least one processor to implement each process of the above image display control method embodiment, and can achieve the same technology. The effect will not be described here to avoid repetition.

It should be noted that, in this document, the terms "comprising", "comprises" or any other variations thereof are intended to cover a non-exclusive inclusion, such that a process, method, article or device that includes a series of elements not only includes those elements, It also includes other elements not expressly listed or inherent in the process, method, article or apparatus. Without further limitation, an element defined by the statement "comprises a..." does not exclude the presence of additional identical elements in a process, method, article or apparatus that includes that element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, but may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved. Functions may be performed, for example, the methods described may be performed in an order different from that described, and various steps may be added, omitted, or combined. Additionally, features described with reference to certain examples may be combined in other examples.

Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus the necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is better. implementation. Based on this understanding, the technical solution of the present application can be embodied in the form of a computer software product that is essentially or contributes to the existing technology. The computer software product is stored in a storage medium (such as ROM/RAM, disk , optical disk), including several instructions to cause a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of this application.

The embodiments of the present application have been described above in conjunction with the accompanying drawings. However, the present application is not limited to the above-mentioned specific implementations. The above-mentioned specific implementations are only illustrative and not restrictive. Those of ordinary skill in the art will Inspired by this application, many forms can be made without departing from the purpose of this application and the scope protected by the claims, all of which fall within the protection of this application.

Claims (15)

1. An image display control method, characterized by comprising:

receiving a first input of a user to a target object node in an object relation graph, wherein the object relation graph is a graph indicating the object relation of at least two objects, the object relation graph comprises at least two object nodes, each object node is provided with an object identifier, the object identifier is used for indicating one object, and a connecting line is displayed between the two objects with the object relation;

and in response to the first input, displaying at least one image containing a target object, the target object being an object indicated by a target object identification displayed on the target object node.

2. The method of claim 1, wherein prior to receiving the first user input to the target object node in the object relationship graph, further comprising:

displaying an object relation map;

the object comprises at least one of: characters, objects, animals, sceneries;

the object relationship includes at least one of: person relationship, home relationship, organization relationship.

3. The method of claim 1, wherein prior to receiving the first user input to the target object node in the object relationship graph, further comprising:

Performing object recognition on at least two reference images to obtain at least two objects;

acquiring an object relationship between the at least two objects;

acquiring object information of the at least two objects, wherein the object information comprises at least one of the following items: object image, object name, object relationship designation;

an object relationship map is generated based on the object relationship between the at least two objects and the object information of the at least two objects.

4. A method according to claim 3, wherein the object comprises a person and the object relationship comprises a person relationship;

the obtaining the object relation between the at least two objects includes:

at least two face images in the at least two reference images are extracted, wherein the at least two face images are face images of different people;

receiving mark input of a user on a target face image in at least two face images obtained by matting, wherein the mark input is used for inputting person name;

in response to the marker input, determining a person corresponding to the target face image as a reference person;

receiving mark input of a user on other face images obtained by matting, wherein the mark input is used for inputting person names;

And responding to the mark input, and determining the character relation between the character corresponding to each face image and the reference character based on the character name input by the mark input.

5. The method of claim 3, wherein the object comprises a character and the object relationship comprises a character relationship, the at least two reference images being episodes in a target episode; the at least two reference images comprise N theatrical figures; n is an integer greater than 1;

the obtaining the object relation between the at least two objects includes:

acquiring scenario information related to the N scenario characters in the target scenario, wherein the scenario information comprises at least one of the following: the names of the drama and the character introduction information of the N drama characters;

and determining the character relation among the N theatrical characters according to the theatrical information.

6. A method according to claim 3, wherein said object recognition of at least two reference images, before obtaining at least two objects, further comprises:

classifying the at least two reference images according to at least two image classification dimensions to obtain image sets corresponding to at least two image types under each image classification dimension, wherein the image classification dimensions comprise at least one of time, theme, place, event and person;

The obtaining the object relation between the at least two objects includes:

for each image set corresponding to each image type under each image classification dimension, establishing an object relation between at least two objects contained in at least two reference images in each image set;

wherein, an object relation map is correspondingly generated by one image classification dimension.

7. The method of claim 1, wherein prior to receiving the first user input to the target object node in the object relationship graph, the method further comprises:

displaying an object relationship map in a first screen region;

the displaying at least one image containing the target object includes:

displaying at least one image containing the target object in a second screen area;

the first screen area and the second screen area are areas in different display screens, or the first screen area and the second screen area are different areas in the same display screen.

8. The method of claim 1, wherein prior to receiving the first user input to the target object node in the object relationship graph, the method further comprises:

Displaying an object relation map in a target interface;

the displaying at least one image containing the target object includes:

at least one image containing a target object is displayed in a floating window, wherein the floating window is displayed on the target interface in a floating mode.

9. The method according to claim 1, wherein in the case where the number of images including the target object is at least two, the method further comprises, before the displaying of the at least one image including the target object:

determining at least two age groups corresponding to a target object in at least two images containing the target object;

clustering the at least two images according to at least two age groups corresponding to the target object in the at least two images to obtain images corresponding to each age group;

the displaying at least one image containing the target object includes:

and displaying the images corresponding to the at least two age groups according to the time sequence of the at least two age groups.

10. The method according to claim 1, wherein the method further comprises:

receiving second inputs of users to M object nodes in the object relation graph, wherein M is an integer greater than 1; m object identifiers displayed on the M object nodes indicate M objects;

In response to the second input, displaying a synopsis image of the M objects if the synopsis image exists;

in response to the second input, in the case that the combined image containing the M objects does not exist, outputting prompt information for prompting the user that the combined image containing the M objects does not exist and prompting the user to shoot the combined image containing the M objects.

11. An image display control apparatus, comprising:

the receiving module is used for receiving first input of a user to target object nodes in an object relation graph, wherein the object relation graph is a graph indicating the object relation of at least two objects, the object relation graph comprises at least two object nodes, each object node is provided with an object identifier, the object identifier is used for indicating one object, and a connecting line is displayed between the two objects with the object relation;

and the display module is used for responding to the first input and displaying at least one image containing a target object, wherein the target object is an object indicated by a target object identifier displayed on the target object node.

12. The apparatus of claim 11, wherein the display module is further configured to:

displaying an object relationship graph before receiving a first input from a user to a target object node in the object relationship graph;

the object comprises at least one of: characters, objects, animals, sceneries;

the object relationship includes at least one of: person relationship, home relationship, organization relationship.

13. The apparatus of claim 11, wherein the apparatus further comprises:

the identification module is used for carrying out object identification on at least two reference images to obtain at least two objects;

an obtaining module, configured to obtain an object relationship between the at least two objects, and obtain object information of the at least two objects, where the object information includes at least one of: object image, object name, object relationship designation;

and the processing module is used for generating an object relation map based on the object relation between the at least two objects and the object information of the at least two objects.

14. The apparatus of claim 13, wherein the object comprises a person and the object relationship comprises a person relationship;

The processing module is further configured to: at least two face images in the at least two reference images are extracted, wherein the at least two face images are face images of different people;

the receiving module is further configured to: receiving mark input of a user on a target face image in at least two face images obtained by matting, wherein the mark input is used for inputting person name;

the acquisition module is further configured to: in response to the marker input, determining a person corresponding to the target face image as a reference person;

the receiving module is further configured to: receiving mark input of a user on other face images obtained by matting, wherein the mark input is used for inputting person names;

the acquisition module is further configured to: and responding to the mark input, and determining the character relation between the character corresponding to each face image and the reference character based on the character name input by the mark input.

15. An electronic device comprising a processor and a memory storing a program or instructions executable on the processor, which when executed by the processor, implement the steps of the image display control method of any one of claims 1 to 10.