Display devices, electronic devices, and methods for adjusting display content.

Abstract

To solve the problem that it is normally difficult to acquire a high-magnification scope in a game although a player can assist in sighting of a gun by enlarging the scale of a target by an acquired scope in a shooting game.SOLUTION: Provided are a display device, an electronic device, and a method for adjusting display contents. The method includes reception of a video signal, acquisition of a recognition result by executing object recognition to the video signal, updating of a preset area corresponding to a video signal of an on-screen display of a display device according to the recognition result, and generation of output video including the on-screen display.SELECTED DRAWING: Figure 9

Description

Technical Field

[0001] The present invention relates to display technology, and in particular to a display device, an electronic device, and a method for adjusting display content.

Background Art

[0002] In a shooting game, a player can magnify the scale of a target through an acquired scope to assist aiming a gun. However, high-magnification scopes are usually difficult to obtain in the game. Players can often only use low-magnification scopes and cannot successfully hit distant targets. On the other hand, some guns in the game do not have corresponding crosshairs. When the avatar is not aiming through a scope, the player cannot aim at the target in real time because there is no crosshair.

Summary of the Invention

Problem to be Solved by the Invention

[0003] The present invention provides a display device, an electronic device, and a method for adjusting display content, which can assist shooting game players in aiming at targets with a gun.

Means for Solving the Problem

[0004] The display device of the present invention includes a display module, a bridge chip, and a display controller. The bridge chip receives a video signal. The processor is electrically connected to the bridge chip. The display controller is electrically connected to the processor and the display module. The processor performs object recognition on the video signal to obtain a recognition result. According to the recognition result, the display controller updates a preset area corresponding to the video signal for on-screen display, and generates an output video including the on-screen display through the display module.

[0005] In one embodiment of the present invention, the above-mentioned processor is an artificial intelligence chip.

[0006] In one embodiment of the present invention, the recognition result is that the processor determines that the avatar in the video signal has entered targeting and firing mode, and the display controller displays a partially enlarged view of the targeting and firing mode in the preset area.

[0007] In one embodiment of the present invention, the extent to which the partial enlargement screen of the preset area is enlarged by the display controller is inversely proportional to the extent to which the aiming and firing mode of the video signal is enlarged.

[0008] In one embodiment of the present invention, the above recognition result indicates that either a first or second virtual prop of the video signal has been enabled. The controller adjusts the preset area to a first scale if it determines that the first virtual prop has been enabled, and adjusts the preset area to a second scale different from the first scale if it determines that the second virtual prop has been enabled.

[0009] In one embodiment of the present invention, the display controller enables or disables the crosshairs of a preset area depending on the recognition result.

[0010] In one embodiment of the present invention, the recognition result is whether or not the virtual props of the video signal have been enabled, and the display controller enables or disables the crosshairs depending on whether or not it has been determined that the virtual props have been enabled.

[0011] In one embodiment of the present invention, the recognition result is that the avatar in the video signal has entered hip-fire mode or aiming-fire mode, and the display controller enables the crosshair in response to the determination that the avatar has entered hip-fire mode.

[0012] In one embodiment of the present invention, the display controller disables the crosshair when it determines that the avatar has entered aiming and firing mode.

[0013] In one embodiment of the present invention, the above-mentioned processor performs object recognition using a region-based convolutional neural network, the region-based convolutional neural network includes a region-proposed network.

[0014] In one embodiment of the present invention, the recognition result is a ballistic trajectory, and the display controller displays a screen corresponding to the ballistic trajectory in a preset area of ​​the on-screen display, and the color of the screen is different from the color of the ballistic trajectory.

[0015] In one embodiment of the present invention, the recognition result is a bomb placement screen, and the display controller displays a countdown screen in the preset area.

[0016] The electronic device for adjusting the display content of a display device according to the present invention comprises a transmitter / receiver and a processor. The processor is configured to receive a video signal from the transmitter / receiver, perform object recognition on the video signal and obtain the recognition result, update a preset area corresponding to the video signal of the on-screen display of the display device according to the recognition result, and generate an output video including the on-screen display, and is connected to the transmitter / receiver.

[0017] A method for adjusting the display content of a display device according to the present invention includes receiving a video signal, performing object recognition on the video signal and obtaining the recognition result, updating a preset area corresponding to the video signal of the on-screen display of the display device according to the recognition result, and generating an output video including the on-screen display. [Effects of the Invention]

[0018] As described above, the display device or electronic device of the present invention can increase the scope magnification and display a crosshair for a player of a shooting game. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] [Figure 1] FIG. 1 is a schematic diagram of a display device according to an embodiment of the present invention. [Figure 2] FIG. 2 is a flowchart of a method applied to a display device according to an embodiment of the present invention. [Figure 3A] FIG. 3 is a schematic diagram illustrating enabling of a crosshair according to an embodiment of the present invention. [Figure 3B] FIG. 4 is a schematic diagram illustrating enabling of a crosshair according to an embodiment of the present invention. [Figure 4A] FIG. 5 is a schematic diagram of a partially enlarged screen according to an embodiment of the present invention. [Figure 4B] FIG. 6 is a schematic diagram of a partially enlarged screen according to an embodiment of the present invention. [Figure 5A] FIG. 7 is a schematic diagram of a ballistic trajectory according to an embodiment of the present invention. [Figure 5B] FIG. 8 is a schematic diagram of a ballistic trajectory according to an embodiment of the present invention. [Figure 6] FIG. 9 is a schematic diagram of a bomb planting screen according to an embodiment of the present invention. [Figure 7] FIG. 10 is a schematic diagram of an electronic device for adjusting display content according to an embodiment of the present invention. [Figure 8] FIG. 11 is a flowchart of a method applied to an electronic device according to an embodiment of the present invention. [Figure 9] FIG. 12 is a flowchart of a method for adjusting display content according to an embodiment of the present invention. DESCRIPTION OF EMBODIMENTS

[0020] Figure 1 is a schematic diagram of a display device 100 for adjusting display content according to one embodiment of the present invention. The player can turn on and off each function provided by the display device 100 by operating the on-screen display (OSD) provided by the display device 100. The display device 100 may include a display controller 110, a bridge chip 120, a processor 130, and a display module 140. The display controller 110 is, for example, a scaler. The processor 130 is, for example, an artificial intelligence chip.

[0021] The display controller 110 or processor 130 is, for example, a central processing unit (CPU), or other programmable general-purpose or dedicated microcontroller (MCU), microprocessor, digital signal processor (DSP), programmable controller, application-specific integrated circuit (ASIC), graphics processing unit (GPU), image signal processor (ISP), image processing unit (IPU), arithmetic logic unit (ALU), complex programmable logic device (CPLD), field programmable gate array (FPGA), or other similar components, or a combination of the above components. The display controller 110 may be electrically connected to the processor 130 and the display module 140. In one embodiment, the display controller 110 may be further electrically connected to a bridge chip 120. The display controller 110 may be configured to control the bridge chip 120, the processor 130, or the display module 140.

[0022] The display module 140 may include a liquid crystal display panel, a light-emitting diode (LED) display panel, a vacuum fluorescent display panel, a plasma display panel (PDP), an organic light-emitting diode (OLED) display panel, or a field emission display panel.

[0023] Figure 2 is a flowchart of a method applied to a display device according to one embodiment of the present invention. In step S201, the bridge chip 120 can receive a video signal. The video signal includes, for example, the game screen (game graphics) of a game application. Specifically, the bridge chip 120 is, for example, an integrated circuit. The display device 100 can communicate with an external device (e.g., a personal computer or a game console) that runs a game application. The bridge chip 120 can receive a video signal from the external device.

[0024] In one embodiment, the bridge chip 120 may have a communication interface. The bridge chip 120 is connected to an external device via the communication interface and can directly receive video signals such as signal S2 shown in Figure 1 from the external device. The communication interface of the bridge chip 120 can support communication protocols such as Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI®), or DisplayPort (DP).

[0025] In one embodiment, the display controller 110 may have a communication interface. The display controller 110 is connected to an external device via the communication interface and can receive video signals such as signal S1 shown in Figure 1 from the external device. The communication interface of the display controller 110 can support communication protocols such as USB, HDMI®, or DP. The display controller 110 can transfer video signals to the bridge chip 120 via a DP output (DP out) function. In other words, the bridge chip 120 can indirectly receive video signals from an external device via the display controller 110.

[0026] In step S202, the processor 130 can receive a video signal from the bridge chip 120.

[0027] In steps S203 to S205, the processor 130 can use a machine learning model to perform object detection on the game screen and obtain the recognition results. The machine learning model used by the processor 130 includes, for example, a region-based convolutional neural network (R-CNN).

[0028] Specifically, in step S203, the processor 130 can perform object recognition on the video signal to acquire one or more candidate regions of interest (ROIs). Candidate regions of interest include, for example, virtual props in a game application or the point of view (POV) when an avatar uses a scope to aim at a target. In one embodiment, the processor 130 can generate one or more candidate regions of interest using a region proposal network (RPN) included in a region-based convolutional neural network.

[0029] In step S204, the processor 130 can identify candidate regions of interest and obtain location information (e.g., coordinates) of the candidate regions of interest.

[0030] In step S205, the processor 130 can recognize an object in the candidate region of interest and generate a recognition result that includes the classification result and bounding box of this object. The processor 130 can then transmit the recognition result to the display controller 110.

[0031] In step S206, the display controller 110 can determine whether a specific virtual object or scene has been detected based on the recognition result. If the display controller 110 determines that a specific virtual object or scene has been detected, in step S208, the display controller 110 can update the preset area of ​​the OSD corresponding to the video signal based on the recognition result. The display controller 110 can generate output video using the display module 140, and the output video may include a video signal (or a game screen corresponding to the video signal) or a graphical user interface (GUI) of the OSD that covers the preset area on the video signal (or game screen).

[0032] For example, the display controller 110 can provide the player with functions such as zooming in on the scope, enabling the crosshair, highlighting the ballistic trajectory, and providing a countdown screen via the OSD. On the other hand, if the display controller 110 does not determine that a particular virtual object or scene has been detected, in step S207, the display controller 110 may choose not to update the OSD or to disable the functions that the display device 100 is providing to the player.

[0033] In one embodiment, the display controller 110 can determine whether a specific virtual prop (e.g., a sniper rifle) of the video signal (or game application) has been enabled based on the recognition result. For example, if the avatar controlled by the player possesses a specific virtual prop, the display controller 110 can determine that this specific virtual prop has been enabled. If the avatar does not possess a specific virtual prop, the controller 110 can determine that this specific virtual prop has been disabled. If the display controller 110 determines that a specific virtual prop has been enabled, the display controller 110 can enable or disable the crosshair of the specific virtual prop and update the OSD. This allows the display controller 110 to provide the crosshair on the game screen via the OSD for the player when the game application provides a crosshair to the game screen while the avatar possesses a specific virtual prop, thereby assisting the player in aiming at targets.

[0034] To determine whether an avatar possesses a virtual prop, the training data for the machine learning model used by the processor 130 may include video signals when the avatar possesses a particular virtual prop or when it does not, as well as a label corresponding to that particular virtual prop, where the label may indicate whether the virtual prop is enabled or the type of virtual prop that has been enabled. The processor 130 can then train the machine learning model using the labeled training data described above.

[0035] In one embodiment, the display controller 110 can detect a preset area of ​​the video signal (or game screen) and determine whether the preset area contains a crosshair corresponding to a virtual prop held by the avatar. If no crosshair corresponding to the virtual prop is present in the preset area, the display controller 110 can enable the preset area corresponding to the video signal on the OSD according to the recognition result. The display controller 110 can overlay the crosshair provided by the OSD onto the video of the preset area. If a crosshair corresponding to the virtual prop (i.e., a crosshair provided to the game screen by the game application) is present in the preset area, the display controller 110 can disable the crosshair provided by the OSD of the display device 100 according to the recognition result, leaving only the crosshair provided by the game application. Figures 3A and 3B are schematic diagrams illustrating the enabling of a crosshair according to one embodiment of the present invention. In Figure 3A, the display controller 110 can determine, according to the recognition result, that the preset area 300 of the video signal does not contain a crosshair (i.e., the virtual prop 310 does not have a corresponding crosshair). As a result, in Figure 3B, the display controller 110 can provide a player crosshair 320 via OSD to assist the player in aiming at targets using the virtual prop 310.

[0036] To determine whether a crosshair is present in a preset area of ​​a video signal, the training data for the machine learning model used by the processor 130 may include the video signal (e.g., the video of a preset area within the video signal) and a label corresponding to this video signal, which can be used to indicate whether a crosshair is present in the video signal. The processor 130 can then train the machine learning model using the labeled training data described above.

[0037] In one embodiment, the display controller 110 can determine, based on the recognition result, whether the avatar has entered hip-firing mode or aiming down sights (ADS) mode. When the avatar aims without using a sight or scope provided by the game application, the game application may not scale the image of a preset area (or at least a portion of the game screen) in the video signal. This allows the display controller 110 to determine that the avatar has entered hip-firing mode. When the avatar has entered hip-firing mode, the display controller 110 can enable the crosshair (e.g., crosshair 320) provided by the OSD of the display device 100. Figures 3A, 3B, 5A, 5B, and 6 show examples of the viewpoint of an avatar in hip-firing mode. On the other hand, when the avatar aims using a sight or scope provided by the game application, the game application may scale the image of a preset area (or at least a portion of the game screen) in the game screen. This allows the display controller 110 to determine that the avatar has entered aiming and firing mode. When the avatar enters aiming and firing mode, the display controller 110 can disable the crosshair provided by the OSD of the display device 100. Figures 4A and 4B show examples of the viewpoint of an avatar in aiming and firing mode.

[0038] Taking Figures 3B and 4A as examples, Figure 3B shows the game screen when the avatar is holding the virtual prop 310 and has entered hip-fire mode, and Figure 4A shows the game screen when the avatar is holding the virtual prop 310 and has entered aiming-fire mode. In Figure 3B, since the scale of the image in the preset area 300 has not been scaled by the game application, the display controller 110 can determine that the avatar has entered hip-fire mode and enable the crosshair 320. In Figure 4A, since the scale of the image in the preset area 300 has been scaled by the game application, the display controller 110 can determine that the avatar has entered aiming-fire mode. Since the game application provides a predetermined crosshair on the game screen when the avatar is in aiming-fire mode, the display controller 110 can disable the crosshair 320 provided by the OSD of the display device 100.

[0039] In one embodiment, the display controller 110 can adjust the scale of the video in a preset area of ​​the video signal using the OSD according to the recognition result. When the scale of the video in the preset area is enlarged by the game application, the display controller 110 can determine that the avatar has entered aiming and shooting mode. As a result, the display controller 110 can use the OSD to display a partially enlarged image of the aiming and shooting mode in the preset area according to the recognition result. For example, the display controller 110 can capture the video enlarged by the game application in the preset area, further enlarge the scale of the captured video, and overlay the further enlarged video using the OSD onto the preset area. In other words, the display controller 110 can perform a zoom-in function on the preset area.

[0040] Figures 4A and 4B are schematic diagrams of a partially enlarged screen according to one embodiment of the present invention. In Figure 4A, the avatar controlled by the player is in aiming and shooting mode. The game application is scaling up the image of the preset area 300. However, the player may not be able to easily aim at the target because the image scale is not sufficiently enlarged. In Figure 4B, the display controller 110 can determine that the avatar has entered aiming and shooting mode based on the fact that the image scale of the preset area 300 has been enlarged by the game application. The display controller 110 can further enlarge the image scale of the preset area 300 to enable the player to easily aim at the target.

[0041] In one embodiment, the degree to which the image in a preset area of ​​the video signal is magnified by the display controller 110 may be inversely proportional to the degree to which this image is magnified by the game application. For example, if an avatar is aiming using a 2x scope, the game application can magnify the scale of the image in the preset area by 2x. The display controller 110 can further magnify the scale of the image in the preset area by 10x using the OSD, resulting in a 20x magnification of the image scale. On the other hand, if an avatar is aiming using a 10x scope, the game application can magnify the scale of the image in the preset area by 10x. The display controller 110 can further magnify the scale of the image in the preset area by 2x using the OSD, resulting in a 20x magnification of the image scale.

[0042] In one embodiment, the display controller 110 can associate the degree of scaling of the image in a preset area of ​​the video signal with a virtual prop when the avatar enters aiming and shooting mode. If the display controller 110 determines that a first virtual prop of the game application has been activated based on the recognition result, the display controller 110 can adjust the scale of the image in the preset area to the first scale. If the display controller 110 determines that a second virtual prop, different from the first virtual prop of the game application, has been activated based on the recognition result, the display controller 110 can adjust the scale of the image in the preset area to a second scale, different from the first scale. For example, if the display controller 110 determines that the avatar is holding a rifle and has entered aiming and shooting mode, the display controller 110 can adjust the scale of the image in the preset area to twice its original size using the OSD. On the other hand, if the display controller 110 determines that the avatar is holding a sniper rifle and has entered aiming and shooting mode, the display controller 110 can adjust the scale of the image in the preset area to ten times its original size using the OSD.

[0043] In one embodiment, the display controller 110 can determine the trajectory of an object in the video signal according to the recognition result and highlight this trajectory. Figures 5A and 5B are schematic diagrams of a ballistic trajectory 500 according to one embodiment of the present invention. The display controller 110 can determine, according to the recognition result, that the ballistic trajectory 500 created by a bullet fired from the virtual prop 310 has been displayed on the game screen. The display controller 110 can display a screen 510 corresponding to the ballistic trajectory 500 in the preset area of ​​the OSD. The display controller 110 can use the screen 510 to cover the ballistic trajectory 500 and highlight the target of the ballistic trajectory 500. For example, the display controller 110 can configure the color and lines of the screen 510 to be different from the color and thickness of the ballistic trajectory 500.

[0044] To determine whether a video signal contains a ballistic trajectory, the training data for the machine learning model used by the processor 130 may include video signals (or game screens) that contain or do not contain a ballistic trajectory, and may include labels indicating whether a ballistic trajectory is present. The processor 130 can then train the machine learning model using the labeled training data described above.

[0045] In one embodiment, the display controller 110 can determine whether an event has occurred in the video signal according to the recognition result and provide a screen corresponding to this indication via the OSD GUI. Figure 6 is a schematic diagram of a bomb planting screen 610 according to one embodiment of the present invention. The display controller 110 can determine whether the video signal includes the bomb planting screen 610 according to the recognition result. As a result, the display controller 110 can display a countdown screen 620 in a preset area (for example, the upper right corner of the game screen) via the OSD GUI.

[0046] To determine whether a video signal contains a bomb planting screen, the training data for the machine learning model used by processor 130 may include video signals (or game screens) that contain or do not contain a bomb planting screen, and may include labels indicating whether or not a bomb planting screen is present. Processor 130 can then train its machine learning model using the labeled training data described above.

[0047] Each function of the display device 100 can also be provided by an electronic device such as a personal computer or a tablet computer. Figure 7 is a schematic diagram of an electronic device 700 for adjusting the display content according to one embodiment of the present invention. The electronic device 700 may include a processor 710, a storage medium 720, and a transmitter / receiver 730.

[0048] The processor 710 is, for example, a CPU, or other programmable general-purpose or dedicated MCU, microprocessor, DSP, programmable display controller, ASIC, GPU, ISP, IPU, ALU, CPLD, FPGA, or other similar component, or a combination of the above components. The processor 710 is connected to the storage medium 720 and the transmitter / receiver 730 and can access and execute multiple modules and various applications stored in the storage medium 720. The processor 710 may have the same configuration or functionality as the display controller 110, bridge chip 120, and / or processor 130.

[0049] The storage media 720 is, for example, any type of fixed or removable random access memory (RAM), read-only memory (ROM), flash memory, hard disk drive (HDD), solid state drive (SSD), or similar component, or a combination of the above components, and is used to store multiple modules or various applications that can be executed by the processor 710.

[0050] The transmitter / receiver 730 transmits or receives signals wirelessly or via a wired connection. The transmitter / receiver 730 can also perform low-noise amplification, impedance matching, mixing, frequency up or down conversion, filtering, amplification, and similar operations.

[0051] Figure 8 is a flowchart of a method applied to an electronic device 500 according to one embodiment of the present invention. In step S801, the processor 710 can receive a user command from the transmitter / receiver 730 and execute the software program of the present invention.

[0052] In step S802, the user can connect the input and output ports of a display device (e.g., display device 100) to the transmitter / receiver 730 of the electronic device 700, and the transmitter / receiver 730 can support communication protocols such as USB, HDMI®, or DP.

[0053] In step S803, the software program can detect the content displayed on the display device. If the software program fails to detect the content displayed on the display device, it means that the display device and the electronic device 700 may not have successfully established a communication connection. In this case, the software program can output a message via the transmitter / receiver 730 to instruct the user to execute step S802 again. If the software program successfully detects the content displayed on the display device, the program proceeds to step S804.

[0054] In step S804, the software program can receive a video signal from the display device via the transmitter / receiver 730, and the video signal may include the game screen of a game application. In one embodiment, the game application is executed by an electronic device 700, and the software program can also directly obtain the video signal from the game application executed by the processor 710.

[0055] In steps S805 to S807, the software program uses a machine learning model to perform object recognition on the game screen and obtains the recognition results. The machine learning model used by the software program includes, for example, R-CNN. Steps S805 to S807 are almost identical to steps S203 to S205 in Figure 2, so they will not be explained again.

[0056] In step S808, the software program can determine whether a specific virtual object or scene has been detected based on the recognition result. If the software program determines that a specific virtual object or scene has been detected, in step S810, the software program updates the preset area of ​​the OSD corresponding to the video signal based on the recognition result and generates output video using the display device. The output video may include the game screen corresponding to the video signal and the OSD GUI covering the preset area of ​​the game screen. For example, the software program can provide the player with functions such as zooming in on the scope or enabling the crosshair using the OSD. On the other hand, if the software program determines that a specific virtual object or scene cannot be detected, in step S809, the software program may choose not to update the OSD or to disable the functions that the electronic device 700 provides to the player.

[0057] Figure 9 is a flowchart of a method for adjusting display content according to one embodiment of the present invention. This method can be implemented using the display device 100 shown in Figure 1 or the electronic device 700 shown in Figure 7. In step S901, a video signal is received. In step S902, object recognition is performed on the video signal and the recognition result is obtained. In step S903, the preset area corresponding to the video signal of the on-screen display of the display device is updated according to the recognition result. In step S904, an output video including the on-screen display is generated.

[0058] In summary, the display device (or electronic device) of the present invention can perform object recognition on the video signal of a shooting game, determine the type of virtual prop currently held by the player's avatar, and determine whether the avatar is in aiming and shooting mode, and adjust the on-screen display according to the determination result. If the avatar is aiming at a target using a low-magnification scope, the display device can increase the magnification of the scope, making it easier for the player to aim at distant targets. If the avatar is holding a gun without a crosshair (e.g., a sniper rifle), the display device can automatically display a crosshair to the player, allowing the player to aim at targets more effectively. If the avatar has finished planting a bomb, the display device can provide the player with a countdown screen. If the ballistic trajectory on the game screen is unclear, the display device can highlight the ballistic trajectory. The functions for adjusting the display content, such as increasing the scope magnification and enabling the crosshair, provided by the present invention can be provided by the on-screen display of the display device. If the player is providing commentary, the game screen seen by the audience will not be affected by the functions provided by the present invention and will be the same as the unadjusted game screen. [Industrial applicability]

[0059] The display device, electronic device, and method of the present invention are suitable for industries such as display devices and electronic games. [Explanation of Symbols]

[0060] 100: Display devices 110: Display Controller 120: Bridge tip 130, 710: Processor 140: Display Module 300: Preset Area 310: Virtual Prop 320: Crosshair 500: Ballistic Trajectory 610: Bomb planting screen 620: Countdown screen 700: Electronic devices 720: Storage media 730: Controller S201, S202, S203, S204, S205, S206, S207, S208, S801, S802, S803, S804, S805, S806, S807, S808, S809, S810, S901, S902, S903, S904: Step

Claims

1. Display module and A bridge chip that receives video signals, A processor electrically connected to the aforementioned bridge chip, A display controller electrically connected to the processor and the display module, Equipped with, The processor performs object recognition on the video signal and obtains the recognition result. The display controller updates the preset area corresponding to the on-screen display video signal according to the recognition result, and the display module generates output video including the on-screen display. The recognition result is that the processor determines that the avatar in the video signal has entered targeting and firing mode. The display controller displays a partially enlarged screen of the aiming and firing mode in the preset area. A display device in which the extent to which the partially enlarged screen in the preset area is enlarged by the display controller is inversely proportional to the extent to which the aiming and firing mode in the video signal is enlarged.

2. The display device according to claim 1, wherein the processor is an artificial intelligence chip.

3. An electronic device for adjusting the display content of a display device, Transmitter and receiver, A processor connected to the aforementioned transmitter / receiver, The aforementioned transmitter / receiver receives a video signal, The process involves performing object recognition on the video signal and obtaining the recognition result, wherein the recognition result is such that the processor determines that the avatar in the video signal has entered targeting and firing mode, and the process of obtaining the result is as follows: Updating a preset area corresponding to the video signal on the on-screen display of the display device according to the recognition result, including displaying a partially enlarged screen of the aiming and firing mode in the preset area, wherein the degree to which the partially enlarged screen in the preset area is enlarged is inversely proportional to the degree to which the aiming and firing mode in the video signal is enlarged, To generate output video including the on-screen display mentioned above, and to perform the following: A processor configured as follows, An electronic device equipped with the following features.

4. A method for adjusting the display content of a display device, Receiving video signals and The process involves performing object recognition on the aforementioned video signal and obtaining the recognition result, wherein the recognition result is determined to be that the avatar in the video signal has entered targeting and firing mode, and the acquisition of the result is... Updating a preset area corresponding to the video signal on the on-screen display of the display device according to the recognition result, including displaying a partially enlarged screen of the aiming and firing mode in the preset area, wherein the degree to which the partially enlarged screen in the preset area is enlarged is inversely proportional to the degree to which the aiming and firing mode in the video signal is enlarged, To generate output video including the aforementioned on-screen display, Methods that include...

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