CN115083354A

CN115083354A - Backlight adjusting method, device, medium and interactive panel

Info

Publication number: CN115083354A
Application number: CN202110280380.9A
Authority: CN
Inventors: 徐岱鑫
Original assignee: Guangzhou Shiyuan Electronics Thecnology Co Ltd; Guangzhou Shirui Electronics Co Ltd
Current assignee: Guangzhou Shiyuan Electronics Thecnology Co Ltd; Guangzhou Shirui Electronics Co Ltd
Priority date: 2021-03-16
Filing date: 2021-03-16
Publication date: 2022-09-20

Abstract

The embodiment of the application provides a backlight adjusting method, a backlight adjusting device, a medium and an interactive panel, wherein the method comprises the following steps: acquiring a first image of a viewer in front of a display screen; determining a scene type corresponding to the first image according to the first image; obtaining target backlight adjusting parameters according to the scene category; and dynamically adjusting the backlight brightness of the display screen according to the target backlight adjusting parameter. According to the method and the device, the target backlight adjusting parameters are obtained through the scene types, and then the backlight brightness of the display screen is dynamically adjusted, so that the backlight brightness is adaptively adjusted according to the human eye requirements of different scenes.

Description

Backlight adjusting method, device, medium and interactive panel

Technical Field

The embodiment of the application relates to the field of backlight adjustment, in particular to a backlight adjustment method, a backlight adjustment device, a backlight adjustment medium and an interactive panel.

Background

When the display screen displays data, a certain backlight brightness is usually required, and a traditional terminal with the display screen is usually provided with a backlight adjusting function, so that the brightness of the display screen is more suitable for being watched by human eyes. Display screens in some technologies have a backlight automatic adjustment function, that is, the backlight of the display screen is adjusted according to the detected light intensity of the environment or the brightness of an image picture, so that the adaptive adjustment of the backlight of the display screen is realized. In the process of implementing the invention, the inventor finds that some backlight automatic adjusting modes in the technology do not consider the display requirements of human eyes on a display screen under different scenes, and the backlight self-adaptive adjusting effect is poor.

Disclosure of Invention

In order to overcome the problems in the related art, the application provides a backlight adjusting method, a backlight adjusting device, a backlight adjusting medium and an interactive flat panel, which have the advantage of adaptively adjusting the backlight brightness according to the requirements of human eyes in different scenes.

According to a first aspect of embodiments of the present application, there is provided a backlight adjusting method, including the steps of:

acquiring a first image of a viewer in front of a display screen;

determining a scene type corresponding to the first image according to the first image;

obtaining target backlight adjusting parameters according to the scene category;

and dynamically adjusting the backlight brightness of the display screen according to the target backlight adjusting parameter.

According to a second aspect of the embodiments of the present application, there is provided a backlight adjusting method, including the steps of:

acquiring a first image of a viewer in front of a display screen;

determining a target scene category of the first image according to the first image;

obtaining a first target backlight adjusting parameter according to the scene category;

acquiring shooting information for acquiring the first image, wherein the shooting information comprises light environment information and/or display screen picture information;

acquiring a second target backlight adjusting parameter according to the light environment information and/or the display screen picture information;

and dynamically adjusting the backlight brightness of the display screen according to the first target backlight adjusting parameter and the second target backlight adjusting parameter.

According to a third aspect of embodiments of the present application, there is provided a backlight adjusting apparatus including:

the image acquisition module is used for acquiring a first image of a viewer in front of the display screen;

the scene type acquisition module is used for determining a scene type corresponding to the first image according to the first image;

the adjusting parameter obtaining module is used for obtaining target backlight adjusting parameters according to the scene category;

and the backlight adjusting module is used for dynamically adjusting the backlight brightness of the display screen according to the target backlight adjusting parameter.

According to a fourth aspect of embodiments of the present application, there is provided a backlight adjustment apparatus, including:

the scene type acquisition module is used for determining the target scene type of the first image according to the first image;

the first adjusting parameter obtaining module is used for obtaining a first target backlight adjusting parameter according to the scene category;

the shooting information acquisition module is used for acquiring shooting information for acquiring the first image, and the shooting information comprises light environment information and/or display screen picture information;

the second adjusting parameter obtaining module is used for obtaining a second target backlight adjusting parameter according to the light environment information and/or the display screen picture information;

and the backlight adjusting module is used for dynamically adjusting the backlight brightness of the display screen according to the first target backlight adjusting parameter and the second target backlight adjusting parameter.

According to a fifth aspect of the embodiments of the present application, there is provided an interactive tablet, including a display screen, a camera, a processor and a memory; the memory stores a computer program adapted to be loaded by the processor and to perform the backlight adjustment method as described in any of the above.

According to a sixth aspect of embodiments of the present application, there is provided a computer-readable storage medium, on which a computer program is stored, wherein the computer program, when executed by a processor, implements the backlight adjusting method as described in any one of the above.

According to the method and the device, the first image of the viewer in front of the display screen is obtained, the scene type corresponding to the first image is determined according to the first image, so that the target backlight adjusting parameter is obtained according to the scene type, the backlight brightness of the display screen is dynamically adjusted, and the backlight brightness is adaptively adjusted according to the eye requirements of different scenes.

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

For a better understanding and practice, the present invention is described in detail below with reference to the accompanying drawings.

Drawings

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.

Fig. 1 is a schematic diagram illustrating a first application scenario of a backlight adjustment method according to an embodiment of the present application;

fig. 2 is a schematic diagram illustrating a second application scenario of a backlight adjustment method according to an embodiment of the present application;

fig. 3 is a schematic diagram illustrating a third application scenario of a backlight adjusting method according to an embodiment of the application;

fig. 4 is a schematic diagram illustrating a fourth application scenario of a backlight adjustment method according to an embodiment of the present application;

fig. 5 is a schematic diagram illustrating a fifth application scenario of a backlight adjustment method according to an embodiment of the present application;

fig. 6 is a schematic diagram illustrating a sixth application scenario of a backlight adjustment method according to an embodiment of the application;

FIG. 7 is a flowchart illustrating a backlight adjusting method according to an embodiment of the present application;

FIG. 8 is a flow chart illustrating a method for determining a category of a scene according to one embodiment of the present application;

FIG. 9 is a flowchart illustrating a method of determining a target backlight adjustment parameter according to one embodiment of the present application;

FIG. 10 is a flow chart illustrating a backlight adjustment method according to another embodiment of the present application;

FIG. 11 is a block diagram schematically illustrating a backlight adjusting apparatus according to an embodiment of the present application;

FIG. 12 is a block diagram schematically illustrating a backlight adjusting apparatus according to another embodiment of the present application;

fig. 13 is a schematic structural diagram of an interactive tablet according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.

It should be understood that the embodiments described are only a few embodiments of the present application, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the application, as detailed in the appended claims.

In the description of the present application, it is to be understood that the terms "first," "second," "third," and the like are used solely to distinguish one from another and are not necessarily used to describe a particular order or sequence, nor are they to be construed as indicating or implying relative importance. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. The word "if/if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination". Further, in the description of the present application, "a plurality" means two or more unless otherwise specified. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

The backlight adjusting method shown in the embodiment of the present application may be executed by a backlight adjusting device, where the backlight adjusting device may be implemented in a software and/or hardware manner, and the backlight adjusting device may be formed by two or more physical entities or may be formed by one physical entity. For example, the backlight adjusting device may be a smart device with a display screen, such as a computer, a mobile phone, a tablet or a smart interactive tablet.

For convenience of understanding, the embodiment is exemplarily described with an interactive flat panel, especially an interactive flat panel with a large screen, as the backlight adjusting device. The interactive panel can be an integrated device which controls the content displayed on the display panel and realizes man-machine interaction operation through a touch technology, and integrates one or more functions of a projector, an electronic whiteboard, a curtain, a sound, a television, a video conference terminal and the like.

Generally, the interactive tablet includes at least one display screen. For example, the interactive tablet is configured with a display screen with a touch function, and the display screen may be a capacitive screen, a resistive screen, or an electromagnetic screen. In an embodiment, an image or a view screen may be displayed through the display screen. In an embodiment, the user may implement touch operation by touching the display screen with a finger or a stylus, and accordingly, the interactive tablet detects the touch position, determines a response scheme according to the touch operation corresponding to the touch position, and then responds to implement the touch function. Typically, the interactive tablet is installed with at least one type of operating system, wherein the operating system includes, but is not limited to, an android system, a Linux system, and a Windows system. In one embodiment, the interactive tablet may have at least one application installed based on the operating system, which in an embodiment is illustratively described as an application having writing capabilities. For example, an electronic whiteboard application having a writing function is installed in the interactive tablet. The application program may be an application program carried by an operating system, or an application program downloaded from a third-party device or a server, or the interactive tablet may be the application program itself. Optionally, the electronic whiteboard application has other editing functions besides the writing function, such as writing, inserting a form, inserting a picture, inserting a multimedia, inserting a graphic, and drawing a form. In an embodiment, the interactive tablet is further provided with a shooting device to shoot images in front of the interactive tablet, such as a viewer in front of the interactive tablet.

The backlight adjusting method can be applied to the fields of meeting, teaching and the like, and in order to better understand the application, some application scenes of the application in the meeting field will be introduced below. In the process of implementing the invention, the inventor finds that: when a conference is carried out through the interactive flat panel, the display requirements of viewers in front of the display screen of the interactive flat panel are different relative to different arrangements of the display screen, namely, under different application scenes, and especially, the viewing effects of the viewers are influenced due to different distances between the viewers of the display screen and different viewing angles of the viewers.

In the first application scenario shown in fig. 1, viewers D to F are arranged in the middle of the display screen to watch, and at this time, the distances from the viewers D to F to the display screen are substantially the same, but the viewing angles of the viewers are all smaller, so that a good watching effect can be achieved without high backlight; in the second application scenario shown in fig. 2, the viewers a to C are arranged and viewed at one side of the display screen, and the distances from the viewers to the display screen are substantially the same, but the viewing angle of the viewers is large, so that a higher backlight is required to provide a better viewing effect, and obviously, fig. 1 and fig. 2 are in different application scenarios, where the viewing angles of the viewers are different and the requirements for backlight adjustment are also different. In addition, in the third application scenario shown in fig. 3, viewers a to I are arranged and viewed from one side of the display screen to the other side thereof, and distances from the viewers a to I to the display screen are substantially the same, and at this time, as the viewing angles of a and I in fig. 1 are larger, the effect will be worse, and they need higher backlight to provide better viewing effect; for E, although the too high backlight can meet the requirement of the display effect, the eyes of E will also receive higher light intensity, generate stronger stimulation degree, and the eyes are easy to generate visual fatigue and other adverse effects, obviously, the application scenarios shown in fig. 1, fig. 2 and fig. 3 are different, and the requirement for backlight adjustment is also different. In some technologies, the way of adaptively adjusting the backlight of the display screen according to the detected light intensity of the environment or the brightness of the image picture cannot be adapted to the application scenario.

In the fourth application scenario shown in fig. 4, viewers B1, B2, C1 and C2 are in two rows to view the display screen at a position close to the display screen, and since they are close to the display screen, a high backlight is not required, and a good viewing effect can be obtained. In the fifth application scenario shown in fig. 5, viewers a1, a2, A3, C1, C2 and C3 are arranged in two rows to view the display screen at a distance from the display screen, and because they are far away from the display screen, a better viewing effect can be obtained without a high backlight. Clearly, fig. 1 and 2 are in different application scenarios, where the distance between the viewer and the display screen is different, and the backlight adjustment requirements are also different. In addition, as shown in the sixth application scenario of fig. 6, the viewers a 1-C3 are arranged in three rows and view the display screen at a distance from the display screen, and at this time, the viewer B1 does not need high backlight to obtain a good viewing effect, but the viewers A3 and C3 are far away from the display screen and need high backlight to obtain a good viewing effect. Obviously, the application scenarios shown in fig. 4, 5 and 6 are different, and the requirements for backlight adjustment are also different. In some technologies, the way of adaptively adjusting the backlight of the display screen according to the detected light intensity of the environment or the brightness of the image picture is not suitable for the application scenario.

Therefore, the application provides a backlight adjusting method to adaptively adjust the backlight brightness according to the human eye requirements of different scenes. The implementation of the backlight adjusting method of the present application in the above application scenario will be described below with reference to specific embodiments.

Example 1

The backlight adjusting method disclosed by the embodiment of the application is applied to electronic equipment, and the electronic equipment is taken as an interactive panel for description.

The backlight adjusting method provided in the embodiments of the present application will be described in detail below with reference to fig. 1 to 9.

Referring to fig. 7, a backlight adjusting method according to an embodiment of the present application includes the following steps:

step S110: a first image of a viewer in front of a display screen is acquired.

In an exemplary embodiment, the first image may display scene information of all viewers in front of the display screen and the display screen, and the scene information may include the number of viewers in the first image, the distance between each viewer and the display screen, the viewing angle of each viewer, and the like, so as to determine the scene category of the viewer in the first image.

In one embodiment, the first image is an image obtained by a camera device disposed at the display screen, for example, at a midpoint above the display screen, to capture all viewers in front of the display screen.

Step S120: and determining the scene category of the first image according to the first image.

The scene type is an arrangement mode of the watchers in front of the display screen, and can be determined by the number of the watchers, the distance between the watchers and the display screen, the watching angle of the watchers and the like. For example, the scene categories may include a first application scene such as the viewer arranged in the middle of the display screen as shown in FIG. 1, a second application scene such as the viewer arranged on one side of the display screen as shown in FIG. 2, a third application scene such as the viewer arranged from one side of the display screen to the other side thereof as shown in FIG. 3, a fourth application scene such as the viewer arranged in two rows as shown in FIG. 4, the fifth application scene is the one shown in fig. 5 in which the viewers are arranged in two rows at a position far from the display screen, the sixth application scene is the one shown in fig. 6 in which the viewers are arranged in three rows at a position far from the display screen, the seventh application scene is the one in which more than 5 viewers are densely arranged at the front of the display screen, and the eighth application scene is the one in which more than 5 viewers are densely arranged at a position far from the display screen.

Step S130: and obtaining target backlight adjusting parameters according to the scene category.

The target backlight adjustment parameter may include a backlight brightness parameter and/or a contrast parameter of the display screen, and the like.

Step S140: and dynamically adjusting the backlight brightness of the display screen according to the target backlight adjusting parameter.

Referring to fig. 8, in an exemplary embodiment, the determining the scene type of the first image according to the first image in step S120 includes:

step S121: acquiring scene information in the first image; the scene information includes the number of viewers in the first image, the distance between each viewer and the display screen, and the viewing angle of each viewer.

Step S122: and determining the scene type corresponding to the first image according to the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer.

According to the embodiment of the application, scene information such as the number of the watchers in the first image, the distance between each watcher and the display screen, the watching angles of each watcher and the like is acquired, so that the scene where the watchers in front of the display screen are located is conveniently judged.

On the basis of the above embodiment, determining the scene type corresponding to the first image according to the number of viewers in the first image, the distance between each viewer and the display screen, and the viewing angle of each viewer includes: and inputting the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer into a trained scene category identification model to obtain a corresponding scene category. The scene type can be quickly obtained through the scene type identification model.

On the basis of the above embodiment, the backlight adjusting method further includes: training a scene category identification model; wherein the step of training the scene category identification model comprises: and taking the number of the viewers, the distance between each viewer and the display screen and the viewing angle of each viewer as input, taking the corresponding scene type as output, and training by utilizing a neural network model to obtain a scene type recognition model. The accuracy of scene category identification can be improved by training the scene category identification model through the neural network model.

Referring to fig. 9, in an exemplary embodiment, the obtaining the target backlight adjusting parameter according to the scene category in step S130 includes:

step S131: and when the scene category is a preset first scene category, obtaining a target backlight adjusting parameter according to a mapping relation between the preset first scene category and the backlight adjusting parameter.

The preset first scene category is a relatively special scene category and comprises an application scene with centralized watchers and far away from the display screen, an application scene with centralized watchers and near the display screen, and an application scene without watchers. In an application scenario in which viewers are concentrated and far away from a display screen, distances between the viewers and the display screen in the first image exceed a preset first distance, and a viewing angle difference between the viewers is within a preset first angle range, for such an application scenario, an inventor finds that: the requirement of the viewer for watching by eyes can be integrally met only by brightening the display screen to the preset brightness, namely presetting the first backlight adjusting parameter and adjusting the brightness of the display screen according to the preset first backlight adjusting parameter. Similarly, the application scenes that the viewers are concentrated and are close to the display screen are that the distance between each viewer and the display screen in the first image does not exceed the preset second distance, the viewing angle difference of each viewer is within the preset second angle range, for such application scenes, the display screen is only required to be reduced to the preset brightness, that is, the second backlight adjusting parameter is preset, and the brightness of the display screen is adjusted according to the preset second backlight adjusting parameter. For the application scene without the viewer, the application scene without the viewer is the application scene without the person identified in the first image, and for the application scene, only the display screen needs to be adjusted to 0, that is, the target adjustment parameter is 0, and at this time, after the interactive flat panel receives the target adjustment parameter, the interactive flat panel is automatically closed.

With reference to fig. 9, on the basis of the foregoing embodiment, the obtaining the target backlight adjustment parameter according to the scene category in step S130 further includes:

step S132: and when the scene category is not the preset first scene category, determining the target viewer performing backlight adjustment under the scene category according to the scene category.

In the process of implementing the invention, the inventor finds that: when the scene type is not the preset first type of scene type, the requirement of watching by the eyes of the viewers in the whole scene can be basically met only by considering the watching effect of the viewers in one or more specific positions, and therefore, when backlight adjustment is carried out, the corresponding viewers in one or more specific positions are preset as target viewers according to different scene types, and the backlight adjustment requirement in the scene type is further determined. Specifically, if the identified scene type is the scene type shown in fig. 1, it may be determined that the middle viewer E is the target viewer; if the identified scene type is the scene type shown in fig. 2, it may be determined that the middle viewer B is the target viewer; if the identified scene type is the scene type shown in fig. 3, the middle viewer E, and the two viewers a and I can be determined as the target viewers. If the identified scene type is the scene type shown in fig. 4, the viewers B1 and C1 closest to the display screen may be determined as target viewers; if the identified scene type is the scene type shown in fig. 5, the viewers a3 and C3 farthest from the display screen may be determined as target viewers; if the identified scene type is the scene type as shown in fig. 6, it may be determined that the viewer B1 located closest to the display screen and in the middle and the viewers A3 and C3 located farthest from the display screen and at both sides of the display screen are target viewers.

Step S133: and acquiring the position relation between the target viewer and the display screen.

In the process of implementing the invention, the inventor finds that: the requirements of human eyes of viewers at different positions on the display effect are different under different scenes, and the corresponding backlight adjusting parameters are also different. Therefore, the influence of factors such as ambient light and a signal source is eliminated in a standard darkroom, the display screen watching platform is built, corresponding backlight adjusting parameters are determined according to the requirements of human eyes on display effects at different positions in different scenes, and accordingly a database of watching personnel at different positions in different scenes and backlight adjusting parameters is generated. Wherein, the position relation of the target viewer and the display screen comprises: the distance between the target viewer and the display screen, and the viewing angle of the target viewer.

Step S134: and obtaining target backlight adjusting parameters according to the position relation.

According to the method and the device, the target viewer who carries out backlight adjustment under the scene category is determined according to the scene category, the target backlight adjustment parameter is obtained according to the position relation between the target viewer and the display screen, and the backlight brightness is adjusted according to the target backlight adjustment parameter, so that the scene category where the viewer is located is considered, the display requirements of human eyes on the display screen under different scene categories are considered fully, the backlight brightness of the display screen can be adjusted in a self-adaptive mode according to the scene category and the viewer, the backlight brightness is suitable for the requirements of the viewer on the whole, and the backlight experience effect of the viewer is improved on the whole.

On the basis of the foregoing embodiment, the obtaining the target backlight adjustment parameter according to the position relationship in step S134 includes: and inputting the position relation into a trained backlight adjusting model to obtain a target backlight adjusting parameter. The scene type can be quickly obtained through the scene type identification model. The accuracy of scene category identification can be improved by training the scene category identification model through the neural network model.

On the basis of the above embodiment, the backlight adjusting method further includes: training a backlight adjusting model; wherein the step of training the backlight adjustment model comprises: and taking the distance between one or more than one viewer and the display screen and the viewing angle of the viewer as input, taking the corresponding backlight adjusting parameters as output, and training by using a neural network model to obtain a backlight adjusting model.

Example 2

The embodiment of the application further discloses a backlight adjusting method applied to electronic equipment, and the electronic equipment is taken as an interactive panel for description.

Referring to fig. 10, an embodiment of the present application further provides a backlight adjusting method, including the following steps:

step S210: a first image of all viewers in front of a display screen is acquired.

Step S220: and determining the scene category of the first image according to the first image.

Step S230: and obtaining a first target backlight adjusting parameter according to the scene category.

Step S240: acquiring shooting information for acquiring the first image; the shooting information comprises light environment information and/or display screen picture information.

The luminous environment information can be a luminous intensity signal of the environment where the display screen is located, and the luminous intensity signal can be collected through a light sensation sensor arranged on the display screen. The display screen image information can be an image brightness signal of the display screen, and can be read by a processor of the interactive flat panel.

Step S250: and acquiring a second target backlight adjusting parameter according to the light environment information and/or the display screen picture information.

In an embodiment, the obtaining a second target backlight adjustment parameter according to the light environment information and/or the display screen image information includes: and obtaining a second target backlight adjusting parameter according to the light environment information. The mapping relation between the luminous environment information and the backlight adjusting parameters can be preset, and then the second target backlight adjusting parameters can be obtained according to the luminous environment information.

In another embodiment, the obtaining a second target backlight adjustment parameter according to the light environment information and/or the display screen picture information includes: and acquiring a second target backlight adjusting parameter according to the display screen picture information. The mapping relation between the display screen picture information and the backlight adjusting parameter can be preset, and then a second target backlight adjusting parameter is obtained according to the display screen picture information.

In another embodiment, the obtaining a second target backlight adjustment parameter according to the light environment information and/or the display screen picture information includes: and acquiring a second target backlight adjusting parameter according to the light environment information and the display screen picture information. The method comprises the steps of presetting a mapping relation between luminous environment information and backlight adjusting parameters, a weight factor of influence of the luminous environment information, a mapping relation between preset display screen picture information and the backlight adjusting parameters and a weight factor of the preset display screen picture information, further obtaining a product of the backlight adjusting parameters corresponding to the luminous environment information and the corresponding weight factors, and a product of the display screen picture information and the backlight adjusting parameters and the corresponding weight factors, and accordingly accumulating the two products to determine the two products as second target backlight adjusting parameters.

Step S260: and dynamically adjusting the backlight brightness of the display screen according to the first target backlight adjusting parameter and the second target backlight adjusting parameter.

In one embodiment, the dynamically adjusting the backlight brightness of the display screen according to the first target backlight adjustment parameter and the second target backlight adjustment parameter includes: acquiring the first target backlight adjusting parameter and the second target backlight adjusting parameter; according to a first weight factor corresponding to a preset first target backlight adjusting parameter and a second weight factor corresponding to a preset second target backlight adjusting parameter, acquiring a product of the first target backlight adjusting parameter and the first weight factor and a product of the second target backlight adjusting parameter and the second weight factor, and accumulating the two products to determine the final target adjusting parameter; and dynamically adjusting the backlight brightness of the display screen according to the target adjusting parameter.

According to the method and the device, a first image of a viewer in front of a display screen is obtained, and a scene type corresponding to the first image is determined according to the first image, so that a first target backlight adjusting parameter is obtained according to the scene type; and acquiring a second target backlight adjusting parameter according to the light environment information and/or the display screen picture information, and dynamically adjusting the backlight brightness of the display screen according to the first target backlight adjusting parameter and the second target backlight adjusting parameter, so that the backlight brightness adjusting device can adapt to the requirements of human eyes in different scenes, can adapt to the light environment and/or the display screen picture where the display screen is located, and can adaptively adjust the backlight brightness.

In an exemplary embodiment, the determining the scene category of the first image according to the first image in step S220 includes:

step S221: acquiring scene information in the first image; the scene information includes the number of viewers in the first image, the distance between each viewer and the display screen, and the viewing angle of each viewer.

Step S222: and determining the scene category corresponding to the first image according to the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer.

On the basis of the foregoing embodiment, in step S222, determining the scene type corresponding to the first image according to the number of viewers in the first image, the distance between each viewer and the display screen, and the viewing angle of each viewer includes: and inputting the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer into a trained scene category identification model to obtain a corresponding scene category. The scene type can be quickly obtained through the scene type identification model.

In an exemplary embodiment, the obtaining the target backlight adjusting parameter according to the scene category in step S230 includes:

step S231: and when the scene category is a preset first scene category, obtaining a target backlight adjusting parameter according to a mapping relation between the preset first scene category and the backlight adjusting parameter.

On the basis of the foregoing embodiment, the obtaining a target backlight adjusting parameter according to the scene category in step S230 further includes:

step S232: and when the scene category is not the preset first scene category, determining the target viewer performing backlight adjustment under the scene category according to the scene category.

Step S233: and acquiring the position relation between the target viewer and the display screen.

Step S234: and obtaining target backlight adjusting parameters according to the position relation.

According to the method and the device, the target viewer who carries out backlight adjustment under the scene category is determined according to the scene category, the target backlight adjustment parameter is obtained according to the position relation between the target viewer and the display screen, and then the backlight brightness is adjusted according to the target backlight adjustment parameter, so that the scene category where the viewer is located is considered, the display requirements of human eyes on the display screen are considered, the backlight brightness of the display screen can be adjusted in a self-adaptive mode according to the scene category and the viewer, the backlight brightness is suitable for the demands of the viewer on the whole, and the backlight experience effect of the viewer is improved on the whole.

On the basis of the foregoing embodiment, in step S234, the obtaining a target backlight adjustment parameter according to the position relationship includes: and inputting the position relation into a trained backlight adjusting model to obtain a target backlight adjusting parameter. The scene type can be quickly obtained through the scene type identification model. The accuracy of scene category identification can be improved by training the scene category identification model through the neural network model.

On the basis of the above embodiment, the backlight adjusting method further includes: training a backlight adjusting model; wherein the step of training the backlight adjustment model comprises: and taking the distance between one or more than one viewer and the display screen and the viewing angle of the viewer as input, taking the corresponding backlight adjusting parameters as output, and training by utilizing a neural network model to obtain a backlight adjusting model.

Example 3

The following is an example of the apparatus of the present application, which may be used to perform the method of example 1 of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, please refer to the contents of the method in embodiment 1 of the present application.

Referring to fig. 11, a backlight adjusting apparatus 300 according to an embodiment of the present application includes:

an image acquisition module 310, configured to acquire a first image of a viewer in front of a display screen;

a scene type obtaining module 320, configured to determine, according to the first image, a scene type corresponding to the first image;

an adjustment parameter obtaining module 330, configured to obtain a target backlight adjustment parameter according to the scene category;

and the backlight adjusting module 340 is configured to dynamically adjust the backlight brightness of the display screen according to the target backlight adjusting parameter.

According to the method and the device, the first image of the viewer in front of the display screen is obtained, the scene type corresponding to the first image is determined according to the first image, so that the target backlight adjusting parameter is obtained according to the scene type, the backlight brightness of the display screen is dynamically adjusted, the requirements of human eyes of different scenes can be met, and the backlight brightness can be adaptively adjusted.

In an exemplary embodiment, the scene category obtaining module 320 includes:

the scene information acquisition module is used for acquiring scene information in the first image; the scene information includes the number of viewers in the first image, the distance between each viewer and the display screen, and the viewing angle of each viewer.

And the scene category determining module is used for determining the scene category corresponding to the first image according to the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer.

On the basis of the foregoing embodiment, the scene category determining module is configured to determine the scene category corresponding to the first image according to the number of viewers in the first image, a distance between each viewer and the display screen, and a viewing angle of each viewer, and includes: and inputting the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer into a trained scene category identification model to obtain a corresponding scene category. The scene type can be quickly obtained through the scene type identification model.

On the basis of the above embodiment, the backlight adjusting apparatus further includes a scene category identification model, where the scene category identification model is used to train the scene category identification model; the method specifically comprises the following steps: and taking the number of the viewers, the distance between each viewer and the display screen and the viewing angle of each viewer as input, taking the corresponding scene type as output, and training by utilizing a neural network model to obtain a scene type recognition model. The accuracy of scene category identification can be improved by training the scene category identification model through the neural network model.

In an exemplary embodiment, the adjustment parameter obtaining module 330 includes:

and the first target backlight adjusting parameter obtaining module is used for obtaining the target backlight adjusting parameter according to the mapping relation between the preset first type scene category and the backlight adjusting parameter when the scene category is the preset first type scene category.

On the basis of the foregoing embodiment, the adjustment parameter obtaining module 330 further includes:

and the target viewer determining module is used for determining the target viewer for backlight adjustment under the scene category according to the scene category when the scene category is not the preset first scene category.

And the position relation acquisition module is used for acquiring the position relation between the target viewer and the display screen.

And the second target backlight adjusting parameter obtaining module is used for obtaining the target backlight adjusting parameters according to the position relation.

According to the method and the device, the target viewer who carries out backlight adjustment under the scene category is determined according to the scene category, the target backlight adjustment parameter is obtained according to the position relation between the target viewer and the display screen, and the backlight brightness is adjusted according to the target backlight adjustment parameter, so that the scene category where the viewer is located is considered, the display requirement of human eyes on the display screen is considered, the backlight brightness of the display screen can be adjusted in a self-adaptive mode according to the scene category and the viewer, the backlight brightness is suitable for the requirement of the viewer on the whole, and the backlight experience effect of the viewer is improved on the whole.

On the basis of the foregoing embodiment, the second target backlight adjustment parameter obtaining module is configured to obtain the target backlight adjustment parameter according to the position relationship, and includes: and inputting the position relation into a trained backlight adjusting model to obtain a target backlight adjusting parameter. The scene type can be quickly obtained through the scene type identification model. The accuracy of scene category identification can be improved by training the scene category identification model through the neural network model.

On the basis of the above embodiment, the backlight adjusting device further comprises a backlight adjusting model training module, and the backlight adjusting model training module is used for training the backlight adjusting model; the method specifically comprises the following steps: and taking the distance between one or more than one viewer and the display screen and the viewing angle of the viewer as input, taking the corresponding backlight adjusting parameters as output, and training by utilizing a neural network model to obtain a backlight adjusting model.

Example 4

The following is an example of the apparatus of the present application, which may be used to perform the method of example 2 of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, please refer to the contents of the method in embodiment 2 of the present application.

Referring to fig. 12, a backlight adjusting apparatus 400 disclosed in the embodiment of the present application includes:

an image acquisition module 410 for acquiring a first image of a viewer in front of a display screen;

a scene type obtaining module 420, configured to determine a target scene type of the first image according to the first image;

a first adjustment parameter obtaining module 430, configured to obtain a first target backlight adjustment parameter according to the scene category;

a shooting information obtaining module 440, configured to obtain shooting information for acquiring the first image, where the shooting information includes light environment information and/or display screen picture information;

a second adjustment parameter obtaining module 450, configured to obtain a second target backlight adjustment parameter according to the light environment information and/or the display screen image information;

the backlight adjusting module 460 is configured to dynamically adjust the backlight brightness of the display screen according to the first target backlight adjusting parameter and the second target backlight adjusting parameter.

According to the method and the device, a first image of a viewer in front of a display screen is obtained, and a scene type corresponding to the first image is determined according to the first image, so that a first target backlight adjusting parameter is obtained according to the scene type; and obtaining a second target backlight adjusting parameter according to the light environment information and/or the display screen picture information, and further dynamically adjusting the backlight brightness of the display screen according to the first target backlight adjusting parameter and the second target backlight adjusting parameter, so that the backlight brightness adjusting method can adapt to the requirements of human eyes of different scenes, can adapt to the light environment and/or the display screen picture where the display screen is located, and can adaptively adjust the backlight brightness.

In an exemplary embodiment, the scene category obtaining module 420 includes:

On the basis of the foregoing embodiment, the scene category determining module is configured to determine the scene category corresponding to the first image according to the number of viewers in the first image, the distance between each viewer and the display screen, and the viewing angle of each viewer, and includes: and inputting the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer into a trained scene category identification model to obtain a corresponding scene category. The scene type can be quickly obtained through the scene type identification model.

On the basis of the embodiment, the backlight adjusting device further comprises a scene category identification model, and the scene category identification model is used for training the scene category identification model; the method specifically comprises the following steps: and taking the number of the viewers, the distance between each viewer and the display screen and the viewing angle of each viewer as input, taking the corresponding scene type as output, and training by utilizing a neural network model to obtain a scene type recognition model. The accuracy of scene category identification can be improved by training the scene category identification model through the neural network model.

In an exemplary embodiment, the first adjustment parameter obtaining module 430 includes:

On the basis of the foregoing embodiment, the adjustment parameter obtaining module 430 further includes:

And the second target backlight adjusting parameter obtaining module is used for obtaining a target backlight adjusting parameter according to the position relation.

On the basis of the above embodiment, the backlight adjusting device further includes a backlight adjusting model training module, and the backlight adjusting model training module is used for training a backlight adjusting model; the method specifically comprises the following steps: and taking the distance between one or more than one viewer and the display screen and the viewing angle of the viewer as input, taking the corresponding backlight adjusting parameters as output, and training by utilizing a neural network model to obtain a backlight adjusting model.

Example 5

The following is an embodiment of the apparatus of the present application, which may be used to perform the methods of embodiment 1 and/or embodiment 2 of the present application. For details which are not disclosed in the embodiments of the apparatus of the present application, reference is made to the contents of the methods of example 1 and/or example 2 of the present application.

Referring to fig. 13, the present application further provides an electronic device 500, where the electronic device 500 may be any smart terminal including a display screen, for example, may be embodied as a computer, a mobile phone, a tablet computer, an interactive tablet, and the like. The interactive tablet 500 may include: at least one processor 510, at least one memory 520, at least one display 530, at least one network interface 540, a user interface 550, at least one communication bus 560, and at least one camera 570.

The display 530 comprises a display layer and a touch layer, wherein the display layer is used for displaying data processed by the processor; the touch layer may include: a capacitive screen, an electromagnetic screen, an infrared screen, or the like, and generally, the touch layer may receive a touch operation or a writing operation input by a user through a finger or an input device.

The user interface 550 is mainly used for providing an input interface for a user and acquiring data input by the user. Optionally, the user interface 550 may also include a standard wired interface and a wireless interface.

The network interface 540 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).

Wherein the communication bus 560 is used for realizing connection communication among the components.

The processor 510 may include one or more processing cores, among other things. The processor 510 interfaces with various components throughout the electronic device 300 using various interfaces and circuitry to perform various functions of the electronic device 300 and process data by executing or executing instructions, programs, code sets, or instruction sets stored in the memory 520 and invoking data stored in the memory 520. Alternatively, the processor 510 may be implemented in at least one hardware form of Digital Signal Processing (DSP), Field-Programmable Gate Array (FPGA), and Programmable Logic Array (PLA). The processor 510 may integrate one or more of a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), a modem, and the like. Wherein, the CPU mainly processes an operating system, a user interface, an application program and the like; the GPU is used for rendering and drawing the content required to be displayed by the display layer; the modem is used to handle wireless communications. It is understood that the above modem may not be integrated into the processor 510, but may be implemented by a single chip.

The Memory 520 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 520 includes a non-transitory computer-readable medium. The memory 520 may be used to store instructions, programs, code sets, or instruction sets. The memory 520 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the above-described method embodiments, and the like; the storage data area may store data and the like referred to in the above respective method embodiments. The memory 520 may optionally be at least one memory device located remotely from the processor 510. As shown in fig. 13, the memory 520, which is a kind of computer storage medium, may include an operating system, a network communication module, and a user therein.

The processor 510 may be configured to call the application program for backlight adjustment stored in the memory 520, and specifically execute the method steps of embodiment 1 and/or embodiment 2, and the specific execution process may refer to the specific description shown in embodiment 1 and/or embodiment 2, which is not described herein again.

Example 6

The present application further provides a computer-readable storage medium, on which a computer program is stored, where the instructions are suitable for being loaded by a processor and executing the method steps of embodiment 1 and/or embodiment 2, and specific execution processes may refer to specific descriptions shown in embodiment 1 and/or embodiment 2, which are not described herein again. The device where the storage medium is located can be an electronic device such as a personal computer, a notebook computer, a smart phone and a tablet computer.

For the apparatus embodiment, since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment for relevant points. The above-described device embodiments are merely illustrative, wherein the components described as separate parts may or may not be physically separate, and the parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart block or blocks and/or flowchart block or blocks. These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). The memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in the process, method, article, or apparatus that comprises the element.

The above are merely examples of the present application and are not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A backlight adjusting method is characterized by comprising the following steps:

acquiring a first image of a viewer in front of a display screen;

obtaining a target backlight adjusting parameter according to the scene category;

2. The backlight adjustment method according to claim 1,

the obtaining of the target backlight adjustment parameter according to the scene category includes:

and when the scene category is a preset first scene category, obtaining a target backlight adjusting parameter according to a mapping relation between the preset first scene category and the backlight adjusting parameter.

3. The backlight adjustment method according to claim 1,

when the scene category is not a preset first scene category, determining a target viewer performing backlight adjustment under the scene category according to the scene category;

and obtaining a target backlight adjusting parameter according to the position relation between the target viewer and the display screen.

4. The backlight adjustment method according to claim 3,

the obtaining of the target backlight adjustment parameter according to the position relationship between the target viewer and the display screen includes:

acquiring the position relation between the target viewer and the display screen;

and inputting the position relation into a trained backlight adjusting model to obtain a target backlight adjusting parameter.

5. The backlight adjustment method according to claim 4,

the positional relationship between the target viewer and the display screen includes: the distance between the target viewer and the display screen, and the viewing angle of the target viewer.

6. The backlight adjustment method of claim 5, further comprising:

training a backlight adjusting model; wherein the step of training the backlight adjustment model comprises:

and taking the distance between one or more than one viewer and the display screen and the viewing angle of the viewer as input, taking the corresponding backlight adjusting parameters as output, and training by utilizing a neural network model to obtain a backlight adjusting model.

7. The backlight adjustment method according to claim 1,

the determining the scene category of the first image according to the first image comprises:

acquiring scene information in the first image; the scene information comprises the number of watchers in the first image, the distance between each watcher and the display screen, and the watching angle of each watcher;

and determining the scene category corresponding to the first image according to the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer.

8. The backlight adjustment method according to claim 7,

determining the scene type corresponding to the first image according to the number of the viewers in the first image, the distance between each viewer and the display screen, and the viewing angle of each viewer, including:

and inputting the number of the viewers in the first image, the distance between each viewer and the display screen and the viewing angle of each viewer into a trained scene category identification model to obtain a corresponding scene category.

9. The backlight adjustment method of claim 8, further comprising:

training a scene category identification model; wherein the step of training the scene category identification model comprises:

and taking the number of the viewers, the distance between each viewer and the display screen and the viewing angle of each viewer as input, taking the corresponding scene type as output, and training by utilizing a neural network model to obtain a scene type recognition model.

10. The backlight adjusting method according to any one of claims 1 to 9,

the first image is an image obtained by an image pickup device provided on the display screen.

11. A backlight adjusting method is characterized by comprising the following steps:

acquiring a first image of a viewer in front of a display screen;

acquiring shooting information for acquiring the first image; the shooting information comprises light environment information and/or display screen picture information;

12. A backlight adjustment apparatus, comprising:

13. A backlight adjustment apparatus, comprising:

the shooting information acquisition module is used for acquiring the shooting information of the first image; the shooting information comprises light environment information and/or display screen picture information;

14. An interactive tablet is characterized by comprising a display screen, a shooting device, a processor and a memory; the shooting device is arranged on the display screen and used for acquiring a first image of a viewer in front of the display screen; the memory stores a computer program adapted to be loaded by the processor and to perform the backlight adjustment method according to any of claims 1 to 11.

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