CN117992628A - Image display control method, device and electronic equipment - Google Patents

Abstract

The present application discloses an image display control method, device and electronic device, belonging to the field of image processing technology, wherein the method comprises: displaying a program interface of an album program, the program interface comprising at least one folder icon, the at least one folder icon being obtained by image classification according to a first type of image feature indicated by a first image feature label, and album folders corresponding to different folder icons comprising at least one image with different first type of image features; receiving a first input from a user, the first input being used to select a folder icon to be reclassified from the at least one folder icon and to select N image feature labels, the album folder corresponding to the folder icon selected by the first input comprising at least two images, N being a positive integer; in response to the first input, displaying an image obtained by image classification of at least two images according to the image features indicated by the N image feature labels.

Description

Image display control method, device and electronic 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 electronic equipment.

Background technique

With the popularization of electronic devices, electronic devices are increasingly widely used. For example, people use electronic devices to take images and save them in albums, and can view the images in the albums later. However, as the number of images in the albums increases, it becomes more cumbersome for people to search for images, and the efficiency of users in searching for images is low.

Summary of the invention

The purpose of the embodiments of the present application is to provide an image display control method, device and electronic device, which can more accurately classify and display images through a rich image classification method, so that users can find the images they want more quickly. The desired image can be quickly screened from at least two images through the above method, which can improve the efficiency of image search.

In a first aspect, an embodiment of the present application provides an image display control method, the method comprising:

Displaying a program interface of a photo album program, the program interface including at least one folder icon, the at least one folder icon being obtained by classifying images according to the first type of image features indicated by the first image feature label, and the photo album folders corresponding to different folder icons including at least one image with different first type of image features;

Receive a first input from a user, the first input being used to select a folder icon to be reclassified from the at least one folder icon and select N image feature labels, the album folder corresponding to the folder icon selected by the first input including at least two images, and N being a positive integer;

In response to the first input, an image obtained by classifying the at least two images according to the image features indicated by the N image feature labels is displayed.

In a second aspect, an embodiment of the present application provides an image classification display control device, comprising:

A display module, used to display a program interface of a photo album program, wherein the program interface includes at least one folder icon, wherein the at least one folder icon is obtained by classifying images according to the first type of image features indicated by the first image feature label, and the photo album folders corresponding to different folder icons include at least one image with different first type of image features;

a receiving module, configured to receive a first input from a user, wherein the first input is used to select a folder icon to be reclassified from the at least one folder icon and select N image feature labels, wherein the album folder corresponding to the file icon selected by the first input includes at least two images, and N is a positive integer;

The display module is further configured to display, in response to the first input, an image obtained by classifying the at least two images according to the image features indicated by the N image feature labels.

In a third aspect, an embodiment of the present application provides an electronic device, which includes a processor and a memory, wherein the memory stores programs or instructions that can be run on the processor, and when the program or instructions are executed by the processor, the steps of the method described in the first aspect are implemented.

In a fourth aspect, an embodiment of the present application provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

In a fifth aspect, an embodiment of the present application provides a chip, comprising a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run a program or instruction to implement the method described in the first aspect.

In a sixth aspect, an embodiment of the present application provides a program product, which is stored in a storage medium and is executed by at least one processor to implement the method described in the first aspect.

In an embodiment of the present application, a program interface of an album program is displayed, the program interface includes at least one folder icon, the at least one folder icon is obtained by image classification according to the first type of image features indicated by the first image feature label, and the album folders corresponding to different folder icons include at least one image with different first type of image features; a first input of a user is received, the first input is used to select a folder icon to be reclassified from the at least one folder icon and select N image feature labels, the album folder corresponding to the file icon selected by the first input includes at least two images, N is a positive integer; in response to the first input, an image obtained by image classification of the at least two images according to the image features indicated by the N image feature labels is displayed. In the above, by selecting a folder icon to be reclassified from the at least one folder icon and selecting N image feature labels, at least two images in the folder icon selected by the first input can be classified, and the classified images can be displayed. Since the classification dimensions of the image features indicated by the N image feature labels can be taken into account, the images can be classified and displayed more accurately through a rich image classification method, which can facilitate users to find the images they want more quickly. The above method can quickly filter out the desired images from at least two images, thereby improving the efficiency of image search.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG1 is a flow chart of an image display control method provided by some embodiments of the present application;

FIG2A is a schematic diagram of an electronic device display screen interface provided by some embodiments of the present application;

FIG2B is a schematic diagram of an electronic device display screen interface provided by some embodiments of the present application;

FIG2C is a schematic diagram of a display screen interface of an electronic device provided in some embodiments of the present application;

FIG2D is a schematic diagram of an electronic device display screen interface provided by some embodiments of the present application;

FIG2E is a schematic diagram of an electronic device display screen interface provided by some embodiments of the present application;

FIG2F is a schematic diagram of an electronic device display screen interface provided by some embodiments of the present application;

FIG2G is a schematic diagram of an electronic device display screen interface provided by some embodiments of the present application;

FIG2H is a schematic diagram of an electronic device display screen interface provided by some embodiments of the present application;

FIG2I is a schematic diagram of an electronic device display screen interface provided by some embodiments of the present application;

FIG3 is a structural diagram of an image classification display control device provided by some embodiments of the present application;

FIG4 is a structural diagram of an electronic device provided in some embodiments of the present application;

FIG5 is a structural diagram of an electronic device provided in some embodiments of the present application.

Detailed ways

The following will be combined with the drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, rather than all the embodiments. All other embodiments obtained by ordinary technicians in this field based on the embodiments in the present application belong to the scope of protection of this application.

The terms "first", "second", etc. in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described here, and the objects distinguished by "first", "second", etc. are generally of one type, and the number of objects is not limited. For example, the first object can be one or more. In addition, "and/or" in the specification and claims represents at least one of the connected objects, and the character "/" generally indicates that the objects associated with each other are in an "or" relationship.

An image feature label can be understood as a feature label of an image, for example, the shooting time and location of the image.

It should be noted that the image display control method provided in the embodiments of the present application can be executed by electronic devices such as mobile phones, tablet computers, laptop computers, PDAs, and vehicle-mounted electronic devices. In some embodiments of the present application, the image display control method provided in the embodiments of the present application is described by taking the electronic device as the execution subject to execute the image display control method as an example.

The image display control method provided by the embodiments of the present application can be applied to a scenario where a user of an electronic device searches for images in an album application installed on the electronic device, wherein a specific application scenario is, for example, a photo album application includes 1,000 images taken by the user of the electronic device using the camera of the electronic device, and the user wants to find an image taken at location B from these 1,000 images, but the user does not remember the time when this image was taken. The image display control method provided by some embodiments of the present application is described in detail below in conjunction with the accompanying drawings through specific embodiments and the above application scenarios.

FIG. 1 is a flow chart of an image display control method provided in some embodiments of the present application. The image display control method in this embodiment is applied to an electronic device and includes the following steps:

Step 101, displaying the program interface of the photo album program, wherein the program interface includes at least one folder icon, wherein the at least one folder icon is obtained by classifying images according to the first type of image features indicated by the first image feature label, and the photo album folders corresponding to different folder icons include at least one image with different first type of image features. The first type of image features in the embodiment of the present application include common image features, such as shooting location, shooting time or shooting object. The second type of image features in the embodiment of the present application are different from common image features, and specifically may include at least one of the following: weather, season, terrain, temperature, mood, color, event.

The program interface includes at least one folder icon, and the images in the folder corresponding to each folder icon are obtained by classifying the images according to the first image feature label, and the images in the album folders corresponding to different folder icons are classified using different image feature labels. For example, as shown in FIG2A, the program interface includes three folder icons, and folder icon 1 is obtained by classifying 1000 images in the album program using the shooting location. The folder corresponding to folder icon 1 includes 700 images, and folder icon 1 can be a thumbnail of any image in the 700 images. The 700 images all have the image feature of the shooting location. The shooting locations of the 700 images can be the same shooting location, for example, all images are taken at location B, or the shooting locations of the 700 images can be different shooting locations, for example, 300 of the 700 images are taken at location B, 300 are taken at location C, and 100 are taken at location A. When there are multiple shooting locations, the 700 images can be displayed in groups, and the images in the same group have the same shooting location, and the images in different groups have different shooting locations.

Folder icon 2 is obtained by classifying 1000 images in the album program by shooting time. The folder corresponding to folder icon 2 includes 800 images, and folder icon 2 can be a thumbnail of any one of the 800 images; these 800 images all have the image feature of shooting time, and the shooting time of these 800 images can be the same shooting time, for example, all images are taken in January 23, or the shooting time of these 800 images can be different shooting times, for example, 300 of these 800 images are taken in January 23, 300 are taken in February 23, and 200 are taken in March 23. When there are multiple shooting times for these 800 images, the shooting time can be grouped by day, and images taken on the same day belong to the same group, and images in different groups have different shooting times.

Folder icon 3 is obtained by classifying 1000 images in the album program using weather. The folder corresponding to folder icon 3 includes 600 images, and folder icon 3 can be a thumbnail of any one of the 600 images. These 600 images all have the image feature of weather. The shooting weather of these 600 images can be the same shooting weather, for example, all cloudy; the shooting weather of these 600 images can also be different, for example, the shooting weather includes cloudy, sunny, and rainy. When displaying, these 600 images are grouped and displayed according to the shooting weather, and images belonging to cloudy days are in the same group, images belonging to sunny days are in the same group, and images belonging to rainy days are in the same group.

For another example, as shown in FIG2B , the program interface includes three folder icons. Folder icon 4 is obtained by classifying 1,000 images in the album program using the label that the weather for the photo was taken was sunny. The folder corresponding to folder icon 4 includes 200 images. Folder icon 4 can be a thumbnail of any one of the 200 images, and all of the 200 images have the image feature of sunny days. Folder icon 5 is obtained by classifying 1,000 images in the album program using the label that the weather for the photo was taken was rainy. The folder corresponding to folder icon 5 includes 300 images. Folder icon 5 can be a thumbnail of any one of the 300 images, and all of the 300 images have the image feature of rainy days. Folder icon 6 is obtained by classifying 1,000 images in the album program using the label that the weather for the photo was cloudy. The folder corresponding to folder icon 6 includes 100 images. Folder icon 6 can be a thumbnail of any one of the 100 images, and all of the 100 images have the image feature of cloudy days.

Step 102, receiving a first input from a user, wherein the first input is used to select a folder icon to be reclassified from the at least one folder icon and select N image feature labels, wherein the album folder corresponding to the folder icon selected by the first input includes at least two images, and N is a positive integer.

In some embodiments of the present application, the first input may be a first operation. Exemplarily, the above-mentioned first input includes, but is not limited to: a touch input of a folder icon by a user through a touch device such as a finger or a stylus, or a voice command input by a user, or a specific gesture input by a user, or other feasible inputs, which may be determined according to actual use requirements and are not limited in the embodiments of the present invention. The specific gesture in the embodiments of the present application may be any one of a single-click gesture, a sliding gesture, a dragging gesture, a pressure recognition gesture, a long press gesture, an area change gesture, a double-press gesture, and a double-click gesture; the click input in the embodiments of the present application may be a single-click input, a double-click input, or any number of click inputs, etc., and may also be a long press input or a short press input.

For example, the first input includes two sub-inputs, the first sub-input is used to select a folder icon, and the second sub-input is used to select N image feature labels.

Step 103 : In response to the first input, display an image obtained by classifying the at least two images according to the image features indicated by the N image feature labels.

In this step, the images in the selected folder are classified according to the image features indicated by the N image feature tags, and the classified images are displayed.

In this embodiment, a folder icon to be reclassified can be selected from the at least one folder icon and N image feature labels can be selected to classify at least two images in the folder icon selected by the first input, and the classified images can be displayed. Since the classification dimensions such as the image features indicated by the N image feature labels can be taken into consideration, the images can be more accurately classified and displayed through a rich image classification method, which can help users find the images they want more quickly. The above method can help users quickly filter out the images they need from at least two images, thereby improving the image search efficiency.

In some embodiments of the present application, N=1, and the N image feature labels include a second image feature label; the second image feature label indicates a second category of image features, the second category of image features is associated with at least two second category sub-labels, and the second category sub-label indicates a sub-classification feature of the second category of image features;

The method of displaying, in response to the first input, an image obtained by classifying the at least two images according to the image features indicated by the N image feature labels comprises:

In response to the first input, classify the at least two images according to the sub-classification features indicated by the at least two second-class sub-tags to obtain at least two groups of images, wherein one group of images has a sub-classification feature indicated by one second-class sub-tag;

The at least two groups of images and the at least two second-category sub-labels are displayed in partitions.

In the embodiment of the present application, N=1, that is, the images in the selected folder are classified according to the image feature indicated by an image feature tag. For example, the second type of image feature can be weather, and the at least two second type sub-tags can be cloudy, rainy, sunny, and cloudy.

At least two images are classified according to each second-category sub-label to obtain a group of images corresponding to each second-category sub-label. When displaying each group of images, each group of images can be displayed in partitions, for example, from top to bottom, or from left to right, and the corresponding second-category sub-label is displayed in the display area of each group of images. As shown in FIG2C , the second-category sub-labels include sunny 11, rainy 12, cloudy 13, and cloudy 14. Images 21 and 22 are grouped images corresponding to sunny 11, and images 23 and 24 are grouped images corresponding to rainy 12; images 25 and 26 are grouped images corresponding to cloudy 13; and images 27, 28, and 29 are grouped images corresponding to cloudy 14.

In an embodiment of the present application, at least two images are classified respectively by multiple second-category sub-tags to obtain multiple groups of images displayed in groups and corresponding second-category sub-tags, which can facilitate users to view the first image and improve image search efficiency.

In some embodiments of the present application, the first image feature label is a shooting location, the first input includes a first pressing input on a folder icon of the at least one folder icon and a selection input for selecting a second image feature label, the selection input includes a sliding input from a pressing position of the pressing input to the second image feature label and a second pressing input on the second image feature label;

In the process of receiving the first input, the method further includes:

When the pressing duration of the first pressing input is greater than a first duration threshold, displaying at least two image feature labels on the folder icon selected by the first input;

receiving a sliding input of a user sliding from a pressing position of the pressing input to the second image feature label and a second pressing input on the second image feature label;

The displaying of an image obtained by classifying the at least two images according to the image features indicated by the N image feature labels includes:

When the pressing time of the second pressing input is greater than a second time threshold, displaying a map interface, wherein at least two map areas associated with a location on the map interface include at least two thumbnails;

Among them, the location is the shooting location of the image in the album folder indicated by the folder icon selected by the first input; the at least two thumbnails are obtained by classifying all the images in the album folder according to the second type of image features indicated by the second image feature label, and one thumbnail corresponds to a group of images having a sub-classification feature indicated by a second type sub-label.

In the above, the first duration threshold and the second duration threshold can be limited according to actual conditions, and the two duration thresholds can be the same or different, and are not limited here. For example, the value range of the first duration threshold is [0.5 seconds, 3 seconds], that is, [0.5s, 3s]. For example, the first duration threshold can be any value between 0.5 seconds and 3 seconds, specifically 0.5 seconds, 0.6 seconds, 1 second, 2.5 seconds, 2 seconds, 3 seconds, etc., and the second duration threshold can be 0.5 seconds to 3 seconds.

As shown in the program interface of FIG2D , folder icons 31, 32 and 33 are displayed, which are obtained by classifying the images in the album according to the shooting location. Among them, the images in the folder corresponding to the folder icon 31 are grouped according to the shooting location of the location B. The user presses on the folder icon 31 for 2 seconds. The folder icon 31 can be a thumbnail of any image in the grouped images. After pressing, as shown in FIG2E , four image feature labels indicating the second type of image features are displayed on the folder icon of the location B, namely: "terrain" label 41, "season" label 42, "temperature" label 43 and "weather" label 44. Among them, the "terrain" label 41 indicates the image features of the terrain at the location where the image was taken; the "season" label 42 indicates the image features of the season when the image was taken; the "temperature" label 43 indicates the image features of the temperature when the image was taken; and the "weather" label 44 indicates the image features of the weather when the image was taken.

After displaying at least two image feature labels, the user continues to slide from the pressing position to the second image feature label, and presses on the second image feature label for more than the second time threshold to display the map interface. If the second image feature label is a season label, the area associated with the location of place B on the map interface displays grouped images corresponding to the four second-category sub-labels of spring, summer, autumn, and winter. If there are multiple images in each grouped image, when displaying each group of images, the thumbnail of any image in each grouped image can be displayed separately. The user can click on the thumbnail of any group of images to view all the images included in the group of images, which is convenient for the user to find images and improves the search efficiency.

In this embodiment, by displaying a group of images corresponding to each second-category sub-tag on the map interface, it is convenient for the user to intuitively view the images of the shooting location, thereby increasing interest.

In some embodiments of the present application, after displaying the map interface, the method further includes:

receiving a second input from the user;

In response to the second input, each thumbnail is updated respectively according to the image update interval, so that each map area associated with the location of the place displays the images in each group of images in sequence.

In some embodiments of the present application, the second input is used to control the electronic device to display multiple images related to a specific place in a carousel image display mode, and the second input can be a second operation. Exemplarily, the above-mentioned second input includes but is not limited to: the user's touch input of the folder icon through a touch device such as a finger or a stylus, or a voice command input by the user, or a specific gesture input by the user, or other feasible input, which can be determined according to actual use requirements and is not limited in the embodiments of the present invention. The specific gesture in the embodiment of the present application can be any one of a single-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; the click input in the embodiment of the present application can be a single-click input, a double-click input, or any number of click inputs, etc., and can also be a long press input or a short press input.

For example, the second input may be an input of long pressing the location of place B on the map interface. When the second input is received, each thumbnail is updated separately according to the image update interval. The update interval may range from 0.5 seconds to 1 second, which is not limited here. To update each thumbnail, the currently displayed thumbnail may be replaced by the thumbnail of the image in the corresponding grouped image in turn, that is, the thumbnails of each season of spring, summer, autumn and winter will be updated at the same time, and the thumbnail of the next image of the corresponding season will be played in rotation to achieve a carousel effect; the user can quickly browse multiple images of different seasons taken at a certain location through the second input.

The update interval can be associated with the force of the finger pressing the second input. When the pressing force increases, the update interval becomes shorter and the rotation speed of the image thumbnails of each season becomes faster. When the pressing force decreases, the update interval becomes longer and the rotation speed becomes slower. For example, when the pressing force is 0.3 Newton, i.e. 0.3N, the update interval is 1 second, and when the pressing force is 0.8 Newton, the update interval is 0.5 seconds.

Furthermore, while each thumbnail is replaced with other image thumbnails in the corresponding grouped images, the process can also be recorded to obtain a sharing video of images taken at the location throughout the year.

Through the above method, not only can you intuitively view the matching image at a certain location on the map interface, but you can also control the carousel of the images to increase the fun of viewing images for users. Users only need to press a certain location on the map interface to quickly view the images taken at that location, and the user's interactive operation of image display control is convenient.

In some embodiments of the present application, the receiving the second input includes:

Receive a user's touch input on the location of the place on the map interface.

For example, the touch input can be an input of long pressing the location of place B on the map interface to trigger the electronic device to update each thumbnail separately according to the image update interval, so that the matching image at a certain location on the map interface can be intuitively viewed, which increases interest.

In some embodiments of the present application, before receiving the second input from the user, the method further includes:

receiving a third input from the user;

In response to the third input, establishing an association relationship between the album widget and the location;

The receiving a second input from the user comprises:

Receive a user's touch input to the album widget.

In this embodiment, the third input is used to establish an association relationship between the album widget and the location. For example, the association relationship can be recorded in the form of a mapping table. For example, if the corresponding relationship between location B and the album widget is recorded in a preset mapping table, an association relationship is established between location B and the album widget. The third input can be an input of the name of the location and the name of the album widget filled in the mapping table. After the association relationship is established, all operations on the album widget are equivalent to operations on the location on the map interface. If an association relationship is established between the album widget and the location, when the map interface is displayed, the mapping table is also queried, and the album widget recorded in the mapping table is also displayed at the same time. The user can use touch input, for example, long press the album widget to trigger the electronic device to update each thumbnail separately according to the image update interval, and can intuitively view the matching image at a certain location on the map interface, which increases the fun of viewing images for users.

In some embodiments of the present application, the album folder corresponding to the folder icon selected by the first input includes E images, F images among the E images record the second type of image features during the image capture process, and G images among the E images do not record the second type of image features during the image capture process; E is an integer greater than 1, F is a positive integer, F＜E, G＝E-F;

The displaying of the image obtained by classifying the at least two images according to the image features indicated by the N image feature labels includes:

The display order of the E images and the G images in the folder is updated so that the E images are arranged before the G images.

In the above, when an image is taken, the shooting location, shooting time, weather, temperature, and terrain of the shooting location can be recorded, and this information can be saved as image features in the attribute information of the image. The user can select the image features to be recorded, or use the default image features. The image features corresponding to different images can be the same or different.

If there are E images in the folder selected by the user, and only F images among the E images record the second type of image features, and G images do not record the second type of image features, then when displaying the classified images, the display order of the F images must be prior to the display order of the G images.

For example, the second-category image feature is sunny day, and the folder selected by the user includes 20 images. Among these 20 images, 5 images have the second-category image feature of sunny day, and 15 images do not have this image feature of sunny day. Then, the 5 images with this image feature of sunny day are displayed first, and then the 15 images without this image feature of sunny day are displayed.

For example, in the case of a stacked display of images, the 5 images are located above the 15 images; in the case of a tiled display of images, the 5 images are tiled and displayed in sequence from top to bottom and from left to right according to the user's habit of viewing images, and after the 5 images are displayed, the images of the 15 images are displayed in sequence after the last image of the 5 images.

The order of the five images may be random, or may be sorted according to shooting time, or according to image data size, which is not limited here.

In this embodiment, by arranging the E images before the G images, it is convenient for the user to view the E images first, thereby improving the image search efficiency.

In some embodiments of the present application, N>1; the N image feature labels include a third image feature label and a fourth image feature label; the third image feature label indicates a third category of image features, the third category of image features is associated with at least two third category sub-labels, and the third category sub-label indicates a sub-classification feature of the third category of image features; the fourth image feature label indicates a fourth category of image features, the fourth category of image features is associated with at least two fourth category sub-labels, and the fourth category sub-label indicates a sub-classification feature of the fourth category of image features;

The method of displaying, in response to the first input, an image obtained by classifying the at least two images according to the image features indicated by the N image feature labels comprises:

In response to the first input, classify the at least two images according to the sub-classification features indicated by the at least two third-class sub-labels to obtain M groups of images, wherein a group of images has a sub-classification feature indicated by a third-class sub-label, and M is a positive integer;

According to the sub-classification features indicated by the at least two fourth-class sub-labels, image classification is performed on the at least two images to obtain K groups of images, wherein a group of images has a sub-classification feature indicated by a fourth-class sub-label, and K is a positive integer;

According to the selection order of the third image feature label and the fourth image feature label, the M groups of images, the at least two third category sub-labels, the K groups of images and the at least two fourth category sub-labels are sequentially displayed in partitions.

In this embodiment, the user can select the third image tag and the fourth image tag at the same time through a first input. In this case, the first input includes a first pressing input on one of the at least one folder icons, a first selection input for selecting the third image feature tag, and a second selection input for selecting the fourth image feature tag in sequence.

The first selection input includes a sliding input from a pressing position of the pressing input to the third image feature label and a third pressing input on the third image feature label;

The second selection input includes a slide input from a press position of the third press input to the fourth image feature label and a fourth press input on the fourth image feature label.

As shown in the program interface of FIG2D , folder icons 31, 32 and 33 are displayed, which are obtained by classifying 700 images in the album according to the shooting location. These 700 images all have the image feature of the shooting location, but there are multiple shooting locations, namely, B, C and A. Among them, the images in the folder corresponding to the folder icon 31 are obtained by grouping the 700 images with the shooting location being B, including 100 images, and the image features of these 100 images include: the shooting location is B; the images in the folder corresponding to the folder icon 32 are obtained by grouping the 700 images with the shooting location being C, including 300 images, and the image features of these 300 images include: the shooting location is C; the images in the folder corresponding to the folder icon 33 are obtained by grouping the 700 images with the shooting location being A, including 300 images, and the image features of these 300 images include: the shooting location is A. The user presses on the folder icon 31 for 2 seconds. The folder icon 31 can be a thumbnail of any image in the grouped images. After pressing, as shown in Figure 2E, four image feature labels indicating the second type of image features are displayed on the folder icon at location B, namely: "Terrain" label 41, "Season" label 42, "Temperature" label 43 and "Weather" label 44.

After displaying at least two image feature labels, the user continues to slide from the pressing position to the third image feature label and presses on the third image feature label, continues to slide to the fourth image feature label and presses on the fourth image feature label. In the above manner, the third image feature label and the fourth image feature label can be selected at the same time.

According to the order of the image feature labels selected by the first input, the sub-labels corresponding to the selected image feature labels are used to classify the images in the folder. For example, the third image feature label is a season label, and the sub-labels corresponding to the season label are spring, summer, autumn and winter; the fourth image feature label is a weather label, and the sub-labels corresponding to the weather label are sunny, rainy, snowy and typhoon. If the folder is a folder in location B, including 100 images, the 100 images are classified using the sub-labels corresponding to the seasons, spring, summer, autumn and winter, to obtain four groups of images, and then the 100 images are classified using the sub-labels corresponding to the weather label, sunny, rainy and snowy, to obtain three groups of images.

When displaying the grouped images, the M groups of images, the at least two third-category sub-tags, the K groups of images, and the at least two fourth-category sub-tags may be sequentially displayed in a partitioned manner according to the selection order of the third image feature tag and the fourth image feature tag. For example, the grouped images corresponding to the third image feature tag and the grouped images corresponding to the fourth image feature tag may be sequentially displayed from top to bottom, or the grouped images corresponding to the third image feature tag and the grouped images corresponding to the fourth image feature tag may be sequentially displayed from left to right, and the corresponding sub-tag may be displayed in the display area of each grouped image.

In this embodiment, the third image feature label and the fourth image feature label can be selected simultaneously through the first input, and multiple grouped images and corresponding sub-labels can be displayed in sequence, which can facilitate users to view the grouped images and improve image search efficiency.

In some embodiments of the present application, the method further includes:

receiving a fourth input from the user;

In response to the fourth input, determining at least one image feature to be recorded during the process of capturing the image;

In the process of a camera taking an image, feature information of at least one image feature of the image is recorded, and the feature information of the at least one image feature is stored in the attribute information of the image, wherein the image feature includes at least one of the following: weather, season, terrain, temperature, mood, color, and event.

During the image shooting process, the basic information of the image is generally recorded in the attribute information, for example, the specific time of image shooting: including the day of the week, the specific shooting date and shooting time; the image file name sequence: the sequence number shows how many images this is taken since the last formatting; the shooting device model: including the brand name and product name; the lens information used: including the lens focal length, maximum aperture, lens product model and other information; the image file information: including the number of pixels, resolution and file size; the image shooting information: including the imaging sensitivity, the shooting focal length, exposure compensation, the actual shooting aperture and shutter speed, etc.; the image location information: including but not limited to the country, city and specific location. The feature information of the image features selected by the user can be recorded in the image file information.

The user can select any at least one of the image features such as weather, season, terrain, temperature, mood, color, event, etc. as the basis for grouping images. If the user selects at least two image features from these image features, the corresponding number of labels will be displayed. Image features include but are not limited to weather, season, terrain, temperature, mood, color, event, and can also be any image feature specified by the user, such as the style of the image. For example, some images have a filter similar to the style of a movie, so the style of this image is a movie. If some images do not have any filters, they are actually taken images, so the style of this image is realistic. The user can set the image features to be recorded in the process of shooting the image through the image feature setting interface of the camera program. For example, the user sets the image features to be recorded through the image feature setting interface of the camera program in the mobile phone. For example, the image feature setting interface in FIG. 2F includes the options of the four image features of "weather", "temperature", "terrain", and "season". FIG. 2F also includes a "custom image feature" control. The user can check at least one option in these four image feature options as the image feature to be recorded in the process of shooting the image, and can also use the "custom image feature" control to realize the customization of the image features to be recorded in the process of shooting the image.

For example, a mobile phone user wants to take a selfie in Paris, France. The user selects weather as the image feature to be recorded on the image feature setting interface of the camera program. After the user sets the image features to be recorded during the shooting process, the user takes a selfie through the mobile phone camera. During the selfie shooting process, the mobile phone records the description information of the weather conditions at the shooting location, that is, the weather information of Paris, France on the shooting day, such as "sunny, big sun, blue sky", and stores the weather information in the Exif (Exchangeable Image File) information of the image. The mobile phone generates a "weather" tag, that is, a second image feature tag, based on the image feature of weather selected by the user.

For example, a mobile phone user takes a selfie in summer, and the user selects season as the image feature to be recorded on the image feature setting interface of the camera program. After the user sets the image features to be recorded during the shooting process, the user takes a selfie through the mobile phone camera. During the selfie shooting process, the mobile phone records the description information of the season of the shooting location, that is, the season of the shooting day, such as "autumn, falling leaves", and stores the season information in the Exif information of the image. The mobile phone generates a "season" tag, that is, a second image feature tag, based on the image feature of the season selected by the user.

For example, a mobile phone user takes a landscape photo. The user selects terrain as the image feature to be recorded on the image feature setting interface of the camera program. After the user sets the image features to be recorded during the shooting process, the user takes a landscape photo through the mobile phone camera. During the landscape photo shooting process, the mobile phone records the description information of the terrain conditions of the shooting location, that is, the terrain of the shooting location, such as "small hills, beautiful scenery", and stores the terrain information in the Exif information of the image. The mobile phone generates a "terrain" tag, that is, the second image feature tag, based on the terrain image feature selected by the user.

For example, a mobile phone user takes a landscape photo, and the user selects temperature as the image feature to be recorded on the image feature setting interface of the camera program. After the user sets the image features to be recorded during the shooting process, the user takes a landscape photo through the mobile phone camera. During the process of taking the landscape photo, the mobile phone records the description information of the temperature of the shooting location, that is, the temperature of the shooting location, such as "temperature 25°, comfortable", and stores the temperature information in the Exif information of the image. The mobile phone generates a "temperature" tag, that is, a second image feature tag, based on the image feature of temperature selected by the user.

For example, a mobile phone user takes a selfie, and the user selects color as the image feature to be recorded on the image feature setting interface of the camera program. After the user sets the image features to be recorded during the shooting process, the user takes a selfie through the mobile phone camera. During the selfie shooting process, the mobile phone records the description information of the subject color in the environment, that is, the color of the shooting location, such as "purple, lavender field", and stores the color information in the Exif information of the image. The mobile phone generates a "color" tag, that is, the second image feature tag, based on the image feature of color selected by the user.

For example, a mobile phone user takes a selfie, and the user selects an event as the image feature to be recorded on the image feature setting interface of the camera program. After the user sets the image features to be recorded during the shooting process, the user takes a selfie through the mobile phone camera. During the selfie shooting process, the mobile phone records the description information of the background event of the image shooting, that is, the background event of the image shooting, such as "company activities, outing", and stores the event information in the Exif information of the image. The mobile phone generates an "event" tag, that is, the second image feature tag, based on the image feature of the event selected by the user.

In the above, although location and time are common dimensions for classifying images, as there are more and more images in the album program, it is impossible for the user to remember the time or location of the image shooting. The user may only remember the weather, season, terrain, temperature, mood, color, or event at the time of shooting. By using the image display control method of the embodiment of the present application, the user can use the image feature he remembers as the basis for classifying and screening images. In this way, the embodiment of the present application enables the user to select the image to be recorded according to the image features he remembers, that is, to classify the images according to the image features remembered by the user, which can greatly improve the accuracy and efficiency of image search.

The user can also customize the image features to be recorded. For example, the user wants to record the mood when taking the image during the trip, so the user wants to use the mood when playing as the image feature to be recorded. The user clicks the "Customize Image Features" control 201 in the image feature setting interface of FIG. 2F to display the image feature customization interface shown in FIG. 2G, wherein the input box 202 in the image feature customization interface is used to input the name of the user-defined image feature, and the input box 203 in the image feature customization interface is used to input the input method of the user-defined image feature, that is, how the user inputs the user-defined image feature. The input method of the image feature can include voice input, text input, etc. For example, the user wants to use his mood when taking an image as the image feature to be recorded in the process of taking the image, and wants to input the image feature about the mood by text input. The user can enter "mood" in the input box 202 of the customization interface and enter "text" in the input box 203, and the image feature to be recorded in the process of taking the image and the input method of the customized image feature are set. After the user takes a self-portrait image, the mobile phone will automatically pop up the shooting mood input box 204 shown in FIG. 2H, and the user can enter his mood when taking the photo in the shooting mood input box 204. Optionally, the user may be prompted to enter a text description of the mood when shooting in the shooting mood input box 204 by displaying a prompt message or a voice prompt, for example, a prompt message "You can enter your mood when shooting in this input box" may be displayed, or a voice message may be played, the voice message content of which is "You can enter your mood when shooting in this input box". For example, in FIG2H , the user enters his mood when shooting "Although the weather is good today, I am in a bad mood".

When the user inputs "voice" in the input box 203 of the image feature customization interface shown in Figure 2G, after the user takes a selfie image, the electronic device will automatically display a voice input control for mood, as shown in Figure 2I. The user clicks on the voice input control, the microphone of the mobile phone turns on, and starts recording the user's voice. The voice input interface can also prompt the user to input his or her mood when shooting through voice input. When the user clicks the "start recording" 205 control, the microphone of the electronic device starts to collect the user's voice information, and obtains an audio file including the shooting mood input by the user through voice. This audio file is associated with the taken selfie image and stored. Specifically, the selfie image and the audio file including the shooting mood input by the user through voice can be stored in the same album folder, and the mapping relationship between the image name of the selfie image and the audio file is recorded through a mapping table.

Since the user can customize the image features to be recorded, the flexibility of image feature setting is improved. The user can customize the image feature information to be recorded, thereby being able to filter and obtain the images they want to find more quickly.

The fourth input of the embodiment of the present application is used to select or determine at least one image feature to be recorded. The fourth input can be a fourth operation. Exemplarily, the fourth input includes but is not limited to: a touch input of a folder icon by a user through a touch device such as a finger or a stylus, or a voice command input by a user, or a specific gesture input by a user, or other feasible inputs, which can be specifically determined according to actual usage requirements, and the embodiment of the present invention is not limited. The specific gesture in the embodiment of the present application can be any one of a single-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; the click input in the embodiment of the present application can be a single-click input, a double-click input, or any number of click inputs, etc., and can also be a long press input or a short press input.

In this embodiment, at least one image feature can be selected through the fourth input, and during the image shooting process, the at least one image feature can be recorded in the attribute information of the image. By manually selecting the image features to be recorded, the flexibility of subsequent classification using image features can be improved.

In some embodiments of the present application, determining at least one image feature to be recorded in the process of capturing an image includes:

In a case where the fourth input is a selection input of at least two alternative image feature options by the user, determining the image feature corresponding to at least one image feature option selected by the fourth input as the image feature to be recorded in the process of capturing the image;

In the case where the fourth input is an input of an image feature by a user, the image feature input by the fourth input is determined as the image feature to be recorded in the process of capturing the image.

In the above, when the user selects an image feature through the fourth input, he can select from the existing image feature options. For example, the selection interface includes image features such as weather, season, terrain, temperature, mood, color, event, etc. The user can select one or more image features as needed. It is also possible to input at least one of weather, season, terrain, temperature, mood, color, and event through voice input when shooting an image. The electronic device performs text recognition on the language input and stores it. After the image is captured, the corresponding file is stored in the attribute information of the image.

The user can also customize image features. For example, the user customizes a label for a sunny day. The label for the sunny day can be input by voice or text, and there is no limitation here.

In this embodiment, when the image features to be recorded are determined by the fourth input for the captured image, the image features can be selected from at least two alternative image feature options or customized, which can improve the flexibility of image feature determination.

The following is an illustration of the image display control method provided in some embodiments of the present application.

The images in the album can be divided according to location clustering to obtain classified images of multiple different locations, that is, at least two images. The at least two images can be further subdivided, for example, based on weather, seasons, etc. At present, the images in the album can contain the time and location information when the image was taken, and this information can be extracted for image classification.

Based on the shooting time of the image, the weather software of the electronic device can be requested to obtain specific information such as weather and temperature corresponding to the shooting time. Alternatively, when shooting an image, the weather and temperature of the current location can be queried in real time, and this information can be recorded in the attribute information of the image for use in subsequent classification.

When the user selects N image feature labels based on at least two images, the images in the at least two images are screened and reorganized. For example, if the user selects weather, multiple weathers are classified and displayed, and corresponding images are displayed in each weather.

In the above, if the user long presses the image feature label, he will automatically enter the footprint mode. After entering the footprint mode, the image is classified based on the image feature label, such as the season label. For example, all images of footprints in Mountain A are divided into 4 categories according to the 4 seasons of spring, summer, autumn and winter. By clicking on each season separately, you can jump to view all images in the corresponding season.

When the user clicks on a place name of a footprint, the finger is pressed on the place name, for example, the finger continues to press the position of mountain A on the map, then the cover image of each season of spring, summer, autumn and winter will be updated at the same time, and the next image of the corresponding season will be played in rotation to achieve a carousel effect. When the user presses harder, the carousel speed of the images of each season will also become faster, and when the pressure is reduced, the carousel speed will slow down.

While forming the effect of the carousel animation, the process is recorded to obtain a shared video that continuously plays all the images on the footprint.

In addition, the footprint can also be combined with the album widget. The album widget displays Mountain A. At this time, the user directly presses the album widget, and the images under the footprint of Mountain A will be played in rotation. Through a simple pressing operation, the images in the album program can be controlled to be grouped as needed. There is no need to click on the album program to enter the program interface to view images one by one. Since the user can also flexibly control the speed of the rotation of the displayed grouped images by controlling the pressure, it is convenient for the user to control the update speed of the image display. The operation is convenient and can avoid entering the program interface, avoiding jumping back and forth between the program interface and the map interface, thereby improving the user operation efficiency of image display control and the image search efficiency.

The above embodiment integrates the location tag with weather information and geographic information, thereby further subdividing the classified images and improving the image search efficiency.

The image display control method provided in some embodiments of the present application may be executed by an image classification display control device. In the embodiments of the present application, the image classification display control device executing the image display control method is taken as an example to illustrate the image classification display control device provided in some embodiments of the present application.

As shown in FIG3 , an embodiment of the present application provides an image classification display control device, and the image classification display control device 300 includes:

A display module 301 is used to display a program interface of a photo album program, wherein the program interface includes at least one folder icon, wherein the at least one folder icon is obtained by classifying images according to the first type of image features indicated by the first image feature label, and the photo album folders corresponding to different folder icons include at least one image with different first type of image features;

The receiving module 302 is used to receive a first input from a user, wherein the first input is used to select a folder icon to be reclassified from the at least one folder icon and select N image feature labels, wherein the album folder corresponding to the file icon selected by the first input includes at least two images, and N is a positive integer;

The display module 301 is further configured to display, in response to the first input, an image obtained by classifying the at least two images according to the image features indicated by the N image feature labels.

In some embodiments of the present application, N=1, and the N image feature labels include a second image feature label; the second image feature label indicates a second category of image features, the second category of image features is associated with at least two second category sub-labels, and the second category sub-label indicates a sub-classification feature of the second category of image features;

The device further includes a processing module, configured to, in response to the first input, perform image classification on the at least two images according to the sub-classification features indicated by the at least two second-class sub-tags to obtain at least two groups of images, wherein one group of images has a sub-classification feature indicated by a second-class sub-tag;

The display module 301 is further configured to display the at least two groups of images and the at least two second-category sub-labels in partitioned manner.

In some embodiments of the present application, the first image feature label is a shooting location, the first input includes a first pressing input on a folder icon of the at least one folder icon and a selection input for selecting a second image feature label, the selection input includes a sliding input from a pressing position of the pressing input to the second image feature label and a second pressing input on the second image feature label;

The display module 301 is further configured to display at least two image feature labels on the folder icon selected by the first input when the pressing duration of the first pressing input is greater than a first duration threshold;

The receiving module 302 is further configured to receive a sliding input from a user sliding from a pressing position of the pressing input to the second image feature label and a second pressing input on the second image feature label;

The display module 301 is further configured to display a map interface when the pressing duration of the second pressing input is greater than a second duration threshold, wherein at least two map areas associated with a location on the map interface include at least two thumbnails;

Among them, the location is the shooting location of the image in the album folder indicated by the folder icon selected by the first input; the at least two thumbnails are obtained by classifying all the images in the album folder according to the second type of image features indicated by the second image feature label, and one thumbnail corresponds to a group of images having a sub-classification feature indicated by a second type sub-label.

In some embodiments of the present application, the receiving module 302 is further used to receive a second input from a user;

The processing module is further configured to update each thumbnail in response to the second input according to an image update interval, so that each map area associated with the location of the place displays images in each group of images in sequence.

In some embodiments of the present application, the receiving module 302 is further used to receive a user's touch input on the location of the place on the map interface.

In some embodiments of the present application, the receiving module 302 is further used to receive a third input from the user;

The processing module is further used to establish an association relationship between the album widget and the shooting location in response to the third input;

The receiving module 302 is further configured to receive a user's touch input to the album widget.

In some embodiments of the present application, the album folder corresponding to the folder icon selected by the first input includes E images, F images among the E images record the second type of image features during the image capture process, and G images among the E images do not record the second type of image features during the image capture process; E is an integer greater than 1, F is a positive integer, F＜E, G＝E-F;

The display module 301 is further used to update the display order of the E images and the G images in the album folder so that the E images are arranged before the G images.

In some embodiments of the present application, N>1; the N image feature labels include a third image feature label and a fourth image feature label; the third image feature label indicates a third category of image features, the third category of image features is associated with at least two third category sub-labels, and the third category sub-label indicates a sub-classification feature of the third category of image features; the fourth image feature label indicates a fourth category of image features, the fourth category of image features is associated with at least two fourth category sub-labels, and the fourth category sub-label indicates a sub-classification feature of the fourth category of image features;

The device further includes a processing module, configured to, in response to the first input, perform image classification on the at least two images according to the sub-classification features indicated by the at least two third-class sub-labels to obtain M groups of images, wherein a group of images has a sub-classification feature indicated by a third-class sub-label, and M is a positive integer;

According to the sub-classification features indicated by the at least two fourth-class sub-labels, image classification is performed on the at least two images to obtain K groups of images, wherein a group of images has a sub-classification feature indicated by a fourth-class sub-label, and K is a positive integer;

The display module 301 is further used to sequentially display the M groups of images, the at least two third-category sub-labels, the K groups of images and the at least two fourth-category sub-labels in a partitioned manner according to the selection order of the third image feature label and the fourth image feature label.

In some embodiments of the present application, the receiving module 302 is further used to receive a fourth input from the user;

The device also includes a processing module for determining, in response to the fourth input, at least one image feature to be recorded in the process of capturing an image; in the process of a camera capturing an image, recording feature information of the at least one image feature of the image, and storing the feature information of the at least one image feature in the attribute information of the image, wherein the image feature includes at least one of the following: weather, season, terrain, temperature, mood, color, and event.

In some embodiments of the present application, the processing module is also used to, when the fourth input is a user's selection input of at least two alternative image feature options, determine the image feature corresponding to at least one image feature option selected by the fourth input as the image feature to be recorded in the process of capturing the image; when the fourth input is an input of the user inputting the image feature, determine the image feature input by the fourth input as the image feature to be recorded in the process of capturing the image.

The image classification display control device 300 provided in some embodiments of the present application can implement each process implemented in the aforementioned method embodiments, and will not be described again here to avoid repetition.

The image classification display control device 300 in the embodiment of the present application can be an electronic device, or a component in the electronic device, such as an integrated circuit or a chip. The electronic device can be a terminal, or other devices other than the terminal. Exemplarily, the electronic device can be a mobile phone, a tablet computer, a laptop computer, a palmtop computer, a vehicle-mounted electronic device, a mobile Internet device (Mobile Internet Device, MID), an augmented reality (augmented reality, AR)/virtual reality (virtual reality, VR) device, a robot, a wearable device, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a netbook or a personal digital assistant (personal digital assistant, PDA), etc., and can also be a server, a network attached storage (Network Attached Storage, NAS), a personal computer (personal computer, PC), a television (television, TV), a teller machine or a self-service machine, etc., and the embodiment of the present application is not specifically limited.

The image classification display control device 300 in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

Optionally, as shown in Figure 4, an embodiment of the present application also provides an electronic device 400, including a processor 401 and a memory 402, and the memory 402 stores a program or instruction that can be executed on the processor 401. When the program or instruction is executed by the processor 401, the various steps of the above-mentioned image display control method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

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

FIG5 is a hardware structure diagram of an electronic device implementing an embodiment of the present application.

The electronic device 500 includes but is not limited to: a radio frequency unit 501, a network module 502, an audio output unit 503, an input unit 504, a sensor 505, a display unit 506, a user input unit 507, an interface unit 508, a memory 509, and a processor 510.

Those skilled in the art will appreciate that the electronic device 500 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 510 through a power management system, so that the power management system can manage charging, discharging, and power consumption. The electronic device structure shown in FIG4 does not constitute a limitation on the electronic device, and the electronic device may include more or fewer components than shown, or combine certain components, or arrange components differently, which will not be described in detail here.

The display unit 506 is used to display a program interface of the photo album program, wherein the program interface includes at least one folder icon, wherein the at least one folder icon is obtained by classifying images according to the first type of image features indicated by the first image feature label, and the photo album folders corresponding to different folder icons include at least one image with different first type of image features;

A user input unit 507, configured to receive a first input from a user, wherein the first input is used to select a folder icon to be reclassified from the at least one folder icon and select N image feature labels, wherein the album folder corresponding to the file icon selected by the first input includes at least two images, and N is a positive integer;

The display unit 506 is further configured to display, in response to the first input, an image obtained by classifying the at least two images according to the image features indicated by the N image feature labels.

In some embodiments of the present application, N=1, and the N image feature labels include a second image feature label; the second image feature label indicates a second category of image features, the second category of image features is associated with at least two second category sub-labels, and the second category sub-label indicates a sub-classification feature of the second category of image features;

The processor 510 is configured to, in response to the first input, perform image classification on the at least two images according to the sub-classification features indicated by the at least two second-class sub-tags to obtain at least two groups of images, wherein one group of images has a sub-classification feature indicated by a second-class sub-tag;

The display unit 506 is further configured to display the at least two groups of images and the at least two second-category sub-labels in partitioned manner.

In some embodiments of the present application, the first image feature label is a shooting location, the first input includes a first pressing input on a folder icon of the at least one folder icon and a selection input for selecting a second image feature label, the selection input includes a sliding input from a pressing position of the pressing input to the second image feature label and a second pressing input on the second image feature label;

The display unit 506 is further configured to display at least two image feature labels on the folder icon selected by the first input when the pressing duration of the first pressing input is greater than a first duration threshold;

The user input unit 507 is further used to receive a sliding input from the user sliding from the pressing position of the pressing input to the second image feature label and a second pressing input on the second image feature label;

The display unit 506 is further configured to display a map interface when the pressing duration of the second pressing input is greater than a second duration threshold, wherein at least two map areas associated with a location on the map interface include at least two thumbnails;

Among them, the location is the shooting location of the image in the album folder indicated by the folder icon selected by the first input; the at least two thumbnails are obtained by classifying all the images in the album folder according to the second type of image features indicated by the second image feature label, and one thumbnail corresponds to a group of images having a sub-classification feature indicated by a second type sub-label.

In some embodiments of the present application, the user input unit 507 is further used to receive a second input from the user;

The processor 510 is further configured to update each thumbnail in response to the second input according to an image update interval, so that each map area associated with the location of the place displays images in each group of images in sequence.

In some embodiments of the present application, the user input unit 507 is further used to receive a user's touch input on the location of the place on the map interface.

In some embodiments of the present application, the user input unit 507 is further used to receive a third input from the user;

The processor 510 is further configured to establish an association relationship between the album widget and the shooting location in response to the third input;

The user input unit 507 is further used to receive a user's touch input to the album widget.

In some embodiments of the present application, the album folder corresponding to the folder icon selected by the first input includes E images, F images among the E images record the second type of image features during the image capture process, and G images among the E images do not record the second type of image features during the image capture process; E is an integer greater than 1, F is a positive integer, F＜E, G＝E-F;

The display unit 506 is further configured to update the display order of the E images and the G images in the album folder so that the E images are arranged before the G images.

In some embodiments of the present application, N>1; the N image feature labels include a third image feature label and a fourth image feature label; the third image feature label indicates a third category of image features, the third category of image features is associated with at least two third category sub-labels, and the third category sub-label indicates a sub-classification feature of the third category of image features; the fourth image feature label indicates a fourth category of image features, the fourth category of image features is associated with at least two fourth category sub-labels, and the fourth category sub-label indicates a sub-classification feature of the fourth category of image features;

The processor 510 is further configured to, in response to the first input, perform image classification on the at least two images according to the sub-classification features indicated by the at least two third-class sub-tags to obtain M groups of images, wherein one group of images has a sub-classification feature indicated by the third-class sub-tag, and M is a positive integer; perform image classification on the at least two images according to the sub-classification features indicated by the at least two fourth-class sub-tags to obtain K groups of images, wherein one group of images has a sub-classification feature indicated by the fourth-class sub-tag, and K is a positive integer;

The display unit 506 is further configured to sequentially display the M groups of images, the at least two third-category sub-labels, the K groups of images, and the at least two fourth-category sub-labels in a partitioned manner according to the selection order of the third image feature label and the fourth image feature label.

In some embodiments of the present application, the user input unit 507 is further used to receive a fourth input from the user;

Processor 510 is also used to determine at least one image feature to be recorded in the process of capturing an image in response to the fourth input; in the process of the camera capturing an image, record feature information of the at least one image feature of the image, and store the feature information of the at least one image feature in the attribute information of the image, wherein the image feature includes at least one of the following: weather, season, terrain, temperature, mood, color, and event.

In some embodiments of the present application, the processor 510 is further configured to, when the fourth input is a selection input of at least two alternative image feature options by the user, determine the image feature corresponding to at least one image feature option selected by the fourth input as the image feature to be recorded in the process of capturing the image;

In the case where the fourth input is an input of an image feature by a user, the image feature input by the fourth input is determined as the image feature to be recorded in the process of capturing the image.

The electronic devices provided in some embodiments of the present application are capable of implementing the various processes implemented in the aforementioned method embodiments, which will not be described again here to avoid repetition.

It should be understood that in the embodiment of the present application, the input unit 504 may include a graphics processor (Graphics Processing Unit, GPU) 5041 and a microphone 5042, and the graphics processor 5041 processes the image data of the static image or video obtained by the image capture device (such as a camera) in the video capture mode or the image capture mode. The display unit 506 may include a display panel 5061, and the display panel 5061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 507 includes a touch panel 5071 and at least one of other input devices 5072. The touch panel 5071 is also called a touch screen. The touch panel 5071 may include two parts: a touch detection device and a touch controller. Other input devices 5072 may include, but are not limited to, a physical keyboard, function keys (such as volume control keys, switch keys, etc.), a trackball, a mouse, and a joystick, which will not be repeated here.

The memory 509 can be used to store software programs and various data. The memory 509 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, an image playback function, etc.), etc. In addition, the memory 509 may include a volatile memory or a non-volatile memory, or the memory 509 may include both volatile and non-volatile memories. Among them, the non-volatile memory may be a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), or a flash memory. The volatile memory may be a random access memory (RAM), a static random access memory (SRAM), a dynamic random access memory (DRAM), a synchronous dynamic random access memory (SDRAM), a double data rate synchronous dynamic random access memory (DDRSDRAM), an enhanced synchronous dynamic random access memory (ESDRAM), a synchronous link dynamic random access memory (SLDRAM) and a direct memory bus random access memory (DRRAM). The memory 509 in the embodiment of the present application includes but is not limited to these and any other suitable types of memory.

The processor 510 may include one or more processing units; optionally, the processor 510 integrates an application processor and a modem processor, wherein the application processor mainly processes operations related to an operating system, a user interface, and application programs, and the modem processor mainly processes wireless communication signals, such as a baseband processor. It is understandable that the modem processor may not be integrated into the processor 510.

An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned image display control method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

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

An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned image display control method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

An embodiment of the present application provides a computer program product, which is stored in a storage medium. The program product is executed by at least one processor to implement the various processes of the above-mentioned image display control method embodiment and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be noted that the scope of the method and device in the embodiment of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a computer software product, which is stored in a storage medium (such as ROM/RAM, a disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, or a network device, etc.) to execute the methods described in each embodiment of the present application.

The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims (21)

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

A program interface for displaying an album program, wherein the program interface comprises at least one folder icon, the at least one folder icon is obtained by classifying images according to first type image features indicated by first image feature labels, and album folders corresponding to different folder icons comprise at least one image with different first type image features;

Receiving a first input of a user, wherein the first input is used for selecting a folder icon to be reclassified from the at least one folder icon and selecting N image feature labels, an album folder corresponding to the folder icon selected by the first input comprises at least two images, and N is a positive integer;

And responding to the first input, and displaying images obtained by carrying out image classification on the at least two images according to the image characteristics indicated by the N image characteristic labels.

2. The method of claim 1, wherein N = 1, the N image feature tags including a second image feature tag; the second image feature tag indicates a second type of image feature, the second type of image feature is associated with at least two second type of sub-tags, and the second type of sub-tag indicates one sub-classification feature of the second type of image feature;

the step of responding to the first input, displaying an image obtained by classifying the at least two images according to the image characteristics indicated by the N image characteristic labels, comprises the following steps:

Responding to the first input, and carrying out image classification on the at least two images according to the sub-classification features indicated by the at least two second class sub-labels to obtain at least two groups of images, wherein one group of images has one sub-classification feature indicated by the second class sub-label;

And displaying the at least two groups of images and the at least two second class sub-labels in a partition mode.

3. The method of claim 2, wherein the first image feature tag is a shooting location, the first input comprising a first press input on one of the at least one folder icon and a selection input to select a second image feature tag, the selection input comprising a slide input that slides from a press location of the press input to the second image feature tag and a second press input on the second image feature tag;

in receiving the first input, the method further comprises:

Displaying at least two image feature labels on the folder icon selected by the first input under the condition that the pressing time length of the first pressing input is larger than a first time length threshold value;

receiving a sliding input from a user sliding from a pressing position of the pressing input to the second image feature label and a second pressing input on the second image feature label;

The displaying of the image obtained by classifying the at least two images according to the image features indicated by the N image feature labels comprises the following steps:

Displaying a map interface under the condition that the pressing time length of the second pressing input is larger than a second time length threshold, wherein at least two map areas associated with the position of one place on the map interface comprise at least two thumbnails;

The location is a shooting location of an image in an album folder indicated by the folder icon selected by the first input; and the at least two thumbnails are obtained by classifying all images in the album folder according to the second-class image features indicated by the second-class image feature tags, and one thumbnail corresponds to a group of images with the sub-classification features indicated by the second-class sub-tags.

4. A method according to claim 3, wherein after the displaying of the map interface, the method further comprises:

Receiving a second input from the user;

And in response to the second input, updating each thumbnail according to an image updating interval, so that each map area associated with the position of the place sequentially displays images in each group of images.

5. The method of claim 4, wherein the receiving a second input comprises:

and receiving touch input of a user on the position of the place on the map interface.

6. The method of claim 4, wherein prior to said receiving the second input from the user, the method further comprises:

Receiving a third input from the user;

establishing an association relationship between album pendants and the shooting places in response to the third input;

the receiving a second input from the user, comprising:

And receiving touch input of a user to the album hanging piece.

7. The method of claim 2, wherein the album folder corresponding to the folder icon selected by the first input includes E images, F images of the E images having second type image features recorded during image capturing, and G images of the E images having no second type image features recorded during image capturing; e is an integer greater than 1, F is a positive integer, F < E, G=E-F;

The displaying of the image obtained by classifying the at least two images according to the image features indicated by the N image feature labels comprises the following steps:

and updating the display sequence of the E images and the G images in the album folder so that the E images are arranged before the G images.

8. The method of claim 1, wherein N > 1; the N image feature labels comprise a third image feature label and a fourth image feature label; the third image feature tag indicates a third type of image feature, the third type of image feature is associated with at least two third type of sub-tags, and the third type of sub-tag indicates one sub-classification feature of the third type of image feature; the fourth image feature tag indicates a fourth type of image feature, the fourth type of image feature is associated with at least two fourth type of sub-tags, and the fourth type of sub-tag indicates one sub-classification feature of the fourth type of image feature;

the step of responding to the first input, displaying an image obtained by classifying the at least two images according to the image characteristics indicated by the N image characteristic labels, comprises the following steps:

Responding to the first input, and carrying out image classification on the at least two images according to the sub-classification features indicated by the at least two third-class sub-labels to obtain M groups of images, wherein one group of images has one sub-classification feature indicated by the third-class sub-label, and M is a positive integer;

According to the sub-classification features indicated by the at least two fourth-class sub-labels, carrying out image classification on the at least two images to obtain K groups of images, wherein one group of images has one sub-classification feature indicated by the fourth-class sub-label, and K is a positive integer;

And displaying the M groups of images, the at least two third type sub-labels, the K groups of images and the at least two fourth type sub-labels in a partitioning manner in sequence according to the selection sequence of the third image feature labels and the fourth image feature labels.

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

Receiving a fourth input from the user;

Determining at least one image feature to be recorded during capturing of an image in response to the fourth input;

recording characteristic information of at least one image characteristic of an image in the process of shooting the image by a camera, and storing the characteristic information of the at least one image characteristic in attribute information of the image;

Wherein the image features include at least one of: weather, season, topography, temperature, mood, color, event.

10. The method of claim 9, wherein determining at least one image feature to be recorded in capturing an image comprises:

In the case that the fourth input is the selection input of the user in at least two alternative image feature options, determining the image feature corresponding to at least one image feature option selected by the fourth input as the image feature to be recorded in the process of shooting the image;

In the case that the fourth input is an input of an image feature input by a user, the image feature input by the fourth input is determined as an image feature to be recorded in the process of capturing an image.

11. An image classification display control device, comprising:

The display module is used for displaying a program interface of the album program, the program interface comprises at least one folder icon, the at least one folder icon is obtained by classifying images according to first type image features indicated by the first image feature labels, and at least one image with different first type image features is included in the album folders corresponding to different folder icons;

The receiving module is used for receiving a first input of a user, wherein the first input is used for selecting a folder icon to be reclassified from the at least one folder icon and selecting N image feature labels, an album folder corresponding to the file icon selected by the first input comprises at least two images, and N is a positive integer;

the display module is further used for responding to the first input, and displaying images obtained by classifying the images of the at least two images according to the image features indicated by the N image feature labels.

12. The apparatus of claim 11, wherein N = 1, the N image feature tags including a second image feature tag; the second image feature tag indicates a second type of image feature, the second type of image feature is associated with at least two second type of sub-tags, and the second type of sub-tag indicates one sub-classification feature of the second type of image feature;

The device also comprises a processing module, a processing module and a processing module, wherein the processing module is used for responding to the first input and carrying out image classification on the at least two images according to the sub-classification characteristics indicated by the at least two second class sub-labels to obtain at least two groups of images, and one group of images has one sub-classification characteristic indicated by the second class sub-label;

The display module is further used for displaying the at least two groups of images and the at least two second class sub-labels in a partitioning mode.

13. The apparatus of claim 12, wherein the first image feature tag is a shooting location, the first input comprising a first press input on one of the at least one folder icon and a selection input to select a second image feature tag, the selection input comprising a slide input to slide from a press location of the press input to the second image feature tag and a second press input on the second image feature tag;

The display module is further configured to display at least two image feature labels on a folder icon selected by the first input when a pressing time period of the first pressing input is greater than a first time period threshold;

the receiving module is further used for receiving a sliding input of a user from a pressing position of the pressing input to the second image feature label and a second pressing input on the second image feature label;

The display module is further configured to display a map interface when the pressing time of the second pressing input is greater than a second time threshold, where at least two map areas associated with a location of a place on the map interface include at least two thumbnails;

The location is a shooting location of an image in an album folder indicated by the folder icon selected by the first input; and the at least two thumbnails are obtained by classifying all images in the album folder according to the second-class image features indicated by the second-class image feature tags, and one thumbnail corresponds to a group of images with the sub-classification features indicated by the second-class sub-tags.

14. The apparatus of claim 13, wherein the receiving module is further configured to receive a second input from a user;

and the processing module is also used for respectively updating each thumbnail according to the second input and the image updating interval so as to enable each map area associated with the position of the place to sequentially display the images in each group of images.

15. The apparatus of claim 14, wherein the receiving module is further configured to receive a touch input from a user to a location on the map interface where the location is located.

16. The apparatus of claim 14, wherein the receiving module is further configured to receive a third input from a user;

the processing module is further used for responding to the third input and establishing an association relationship between the album hanging piece and the shooting place;

the receiving module is further used for receiving touch input of a user to the album hanging piece.

17. The apparatus of claim 12, wherein the album folder corresponding to the folder icon selected by the first input includes E images, F of the E images having second type image features recorded during the image capturing process, and G of the E images having no second type image features recorded during the image capturing process; e is an integer greater than 1, F is a positive integer, F < E, G=E-F;

And the display module is also used for updating the display sequence of the E images and the G images in the album folder so as to enable the E images to be arranged before the G images.

18. The apparatus of claim 11, wherein N > 1; the N image feature labels comprise a third image feature label and a fourth image feature label; the third image feature tag indicates a third type of image feature, the third type of image feature is associated with at least two third type of sub-tags, and the third type of sub-tag indicates one sub-classification feature of the third type of image feature; the fourth image feature tag indicates a fourth type of image feature, the fourth type of image feature is associated with at least two fourth type of sub-tags, and the fourth type of sub-tag indicates one sub-classification feature of the fourth type of image feature;

The device further comprises a processing module, a first input module and a second input module, wherein the processing module is used for responding to the first input and carrying out image classification on the at least two images according to the sub-classification characteristics indicated by the at least two third-class sub-labels to obtain M groups of images, one group of images has the sub-classification characteristics indicated by one third-class sub-label, and M is a positive integer; according to the sub-classification features indicated by the at least two fourth-class sub-labels, carrying out image classification on the at least two images to obtain K groups of images, wherein one group of images has one sub-classification feature indicated by the fourth-class sub-label, and K is a positive integer;

The display module is further configured to display the M groups of images, the at least two third types of sub-labels, the K groups of images, and the at least two fourth types of sub-labels in a partition manner sequentially according to a selection sequence of the third image feature labels and the fourth image feature labels.

19. The apparatus of claim 11, wherein the receiving module is further configured to receive a fourth input from a user;

The apparatus further comprises a processing module for determining at least one image feature to be recorded during capturing of an image in response to the fourth input; recording characteristic information of at least one image characteristic of an image in the process of shooting the image by a camera, and storing the characteristic information of the at least one image characteristic in attribute information of the image;

Wherein the image features include at least one of: weather, season, topography, temperature, mood, color, event.

20. The apparatus according to claim 19, wherein the processing module is further configured to determine, if the fourth input is a user selection input of at least two alternative image feature options, an image feature corresponding to at least one image feature option selected by the fourth input as an image feature to be recorded in capturing an image; in the case that the fourth input is an input of an image feature input by a user, the image feature input by the fourth input is determined as an image feature to be recorded in the process of capturing an image.

21. 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.