Display device, electronic device, and method 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 more particularly to display devices, electronic devices and methods for adjusting displayed content. [Background technology]

[0002] In shooting games, players can obtain scopes to magnify the scale of targets and assist with gun aiming. However, high-magnification scopes are usually difficult to obtain in games. Players are often limited to low-magnification scopes, which make it difficult to shoot distant targets. Meanwhile, some guns in games do not have corresponding crosshairs. If the avatar is not aiming with a scope, the lack of a crosshair prevents players from aiming at the target in real time. 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 a shooting game player in aiming at a target 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. The display controller updates a preset area corresponding to the video signal in an on-screen display according to the recognition result, and generates an output image including the on-screen display via the display module.

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

[0006] In one embodiment of the present invention, the above recognition result is that the processor determines that the avatar in the video signal has entered the aim and shooting mode, and the display controller displays a partial enlarged screen of the aim and shooting mode in the preset area.

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

[0008] In one embodiment of the present invention, the recognition result is that a first virtual prop or a second virtual prop of the video signal has been enabled, and the controller adjusts the preset area to a first scale in response to determining that the first virtual prop has been enabled, and adjusts the preset area to a second scale different from the first scale in response to determining that the second virtual prop has been enabled.

[0009] In one embodiment of the present invention, the display controller enables or disables the crosshairs in the preset area according to the recognition result.

[0010] In one embodiment of the present invention, the recognition result is whether a virtual prop of the video signal is enabled, and the display controller enables or disables the crosshairs in response to determining that the virtual prop is enabled.

[0011] In one embodiment of the present invention, the above recognition result is determining that the avatar in the video signal has entered a hip-fire mode or a sights-on-fire mode, and the display controller enables the crosshairs in response to determining that the avatar has entered the hip-fire mode.

[0012] In one embodiment of the present invention, the display controller disables the crosshairs in response to determining that the avatar has entered aim and fire mode.

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

[0014] In one embodiment of the present invention, the above 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 above 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 display content of a display device of the present invention includes a transceiver and a processor, the processor being configured to: receive a video signal by the transceiver, perform object recognition on the video signal to obtain a recognition result, update a preset area corresponding to the video signal in an on-screen display of the display device according to the recognition result, and generate an output video including the on-screen display, and the processor is connected to the transceiver.

[0017] A method for adjusting display content of a display device of the present invention includes receiving a video signal, performing object recognition on the video signal to obtain a recognition result, updating a preset area corresponding to the video signal in an 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 magnification of the scope or display a crosshair for the player of the shooting game. [Brief explanation of the drawings]

[0019] [Figure 1] 1 is a schematic diagram of a display device according to one embodiment of the present invention; [Figure 2] 4 is a flowchart of a method applied to a display device according to an embodiment of the present invention. [Figure 3A] FIG. 10 is a schematic diagram of enabling crosshairs according to an embodiment of the present invention; [Figure 3B] FIG. 1 is a schematic diagram of enabling crosshairs according to an embodiment of the present invention. [Figure 4A] FIG. 10 is a schematic diagram of a partial enlarged screen according to an embodiment of the present invention. [Figure 4B] FIG. 10 is a schematic diagram of a partial enlarged screen according to an embodiment of the present invention. [Figure 5A] FIG. 2 is a schematic diagram of a ballistic trajectory according to one embodiment of the present invention. [Figure 5B] FIG. 2 is a schematic diagram of a ballistic trajectory according to one embodiment of the present invention. [Figure 6] FIG. 10 is a schematic diagram of a bomb placement screen in accordance with one embodiment of the present invention; [Figure 7] 1 is a schematic diagram of an electronic device for adjusting display content according to one embodiment of the present invention; [Figure 8] 3 is a flowchart of a method applied to an electronic device according to an embodiment of the present invention. [Figure 9] 3 is a flowchart of a method for adjusting display content according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0020] FIG. 1 is a schematic diagram of a display device 100 for adjusting display content according to an embodiment of the present invention. A player can turn on or off each function provided by the display device 100 by operating an 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 the processor 130 may be, for example, a central processing unit (CPU) or other programmable general-purpose or special-purpose microcontroller unit (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 component or 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 further be 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 (vacuum fluorescent) display panel, a plasma display panel (PDP), an organic light-emitting diode (OLED) display panel, or a field-emission display panel.

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

[0024] In one embodiment, bridge chip 120 may have a communication interface. Bridge chip 120 is communicatively coupled to an external device through the communication interface and can directly receive a video signal, such as signal S2 shown in FIG. 1, from the external device. The communication interface of 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 communicatively connected to an external device via the communication interface and can receive a video signal, such as signal S1 shown in FIG. 1 , from the external device. The communication interface of the display controller 110 can support communication protocols such as USB, HDMI (registered trademark), or DP. The display controller 110 can transfer the video signal to the bridge chip 120 via a DP output (DP out) function. That is, the bridge chip 120 can indirectly receive the video signal from the external device via the display controller 110.

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

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

[0028] Specifically, in step S203, processor 130 may perform object recognition on the video signal to obtain one or more candidate regions of interest (ROIs). The candidate regions of interest may include, for example, a virtual prop in a gaming application or a point of view (POV) from an avatar aiming at a target using a scope. In one embodiment, processor 130 may generate the 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 may identify candidate regions of interest and obtain position information (eg, coordinates) of the candidate regions of interest.

[0030] In step S205, the processor 130 may recognize an object in the candidate region of interest and generate a recognition result including a classification result and a bounding box for the object. The processor 130 may send the recognition result to the display controller 110.

[0031] In step S206, the display controller 110 may determine whether a specific virtual object or scene has been detected according to 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 may update a preset area corresponding to a video signal of the OSD according to the recognition result. The display controller 110 may generate an output image via the display module 140, and the output image may include the video signal (or a game screen corresponding to the video signal) and a graphical user interface (GUI) of the OSD covering the preset area on the video signal (or game screen).

[0032] For example, the display controller 110 may provide the player with functions such as increasing the magnification of a scope, activating a crosshair, highlighting a ballistic trajectory, providing a countdown screen, etc. On the other hand, if the display controller 110 does not determine that a specific virtual object or scene has been detected, in step S207, the display controller 110 may not update the OSD or may 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 according to the recognition result. For example, if an avatar controlled by a player is holding a specific virtual prop, the display controller 110 can determine that the specific virtual prop has been enabled. If the avatar is not holding the specific virtual prop, the display controller 110 can determine that the specific virtual prop has been disabled. If the display controller 110 determines that the specific virtual prop has been enabled, the display controller 110 can enable or disable crosshairs for the specific virtual prop and update the OSD. Thus, if the game application provides crosshairs on the game screen when the avatar is holding the specific virtual prop, the display controller 110 can provide the crosshairs for the player on the game screen via the OSD to assist the player in aiming at a target.

[0034] To determine whether an avatar is holding a virtual prop, the training data for the machine learning model used by processor 130 may include a video signal of when the avatar is holding or not holding a particular virtual prop and a label corresponding to the particular virtual prop, where the label may indicate whether the virtual prop is enabled or the type of enabled virtual prop. Processor 130 may train the machine learning model using the labeled training data.

[0035] In one embodiment, display controller 110 can detect a preset area of ​​a video signal (or a game screen) and determine whether the preset area includes a crosshair corresponding to a virtual prop held by an avatar. If the preset area does not include a crosshair corresponding to the virtual prop, display controller 110 can enable the preset area of ​​the video signal of the OSD according to the recognition result. Display controller 110 can overlay a crosshair provided by the OSD on the image of the preset area. If a crosshair corresponding to the virtual prop (i.e., a crosshair provided by a game application on the game screen) exists in the preset area, display controller 110 can disable the crosshair provided by the OSD of display device 100 according to the recognition result, leaving only the crosshair provided by the game application. FIGS. 3A and 3B are schematic diagrams illustrating enabling a crosshair according to one embodiment of the present invention. In FIG. 3A, display controller 110 can determine that a crosshair is not included in preset area 300 of the video signal (i.e., virtual prop 310 does not have a corresponding crosshair) according to the recognition result. Thus, in FIG. 3B, the display controller 110 can provide a player crosshair 320 via the OSD to assist the player in aiming at a target using the virtual prop 310.

[0036] To determine whether the image of the preset area of ​​the video signal includes crosshairs, the training data of the machine learning model used by processor 130 may include the video signal (e.g., the image of the preset area in the video signal) and a label corresponding to the video signal, which can be used to indicate whether the video signal includes crosshairs. Processor 130 may train the machine learning model using the labeled training data.

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

[0038] Taking FIGS. 3B and 4A as examples, FIG. 3B shows a game screen when an avatar holds virtual prop 310 and enters hip-fire mode, and FIG. 4A shows a game screen when an avatar holds virtual prop 310 and enters aim-and-fire mode. In FIG. 3B, the scale of the image in preset area 300 is not enlarged by the game application, so display controller 110 can determine that the avatar has entered hip-fire mode and enable crosshairs 320. In FIG. 4A, the scale of the image in preset area 300 is enlarged by the game application, so display controller 110 can determine that the avatar has entered aim-and-fire mode. Because the game application provides a predetermined crosshair on the game screen when the avatar is in aim-and-fire mode, display controller 110 can disable crosshairs 320 provided by the OSD of display device 100.

[0039] In one embodiment, the display controller 110 may adjust the scale of an image in a preset area of ​​the video signal using an OSD in accordance with the recognition result. If the scale of the image in the preset area is enlarged by the game application, the display controller 110 may determine that the avatar has entered the aim and fire mode. Accordingly, the display controller 110 may display a partially zoomed-in image of the aim and fire mode in the preset area using an OSD in accordance with the recognition result. For example, the display controller 110 may capture an image in the preset area enlarged by the game application, further enlarge the scale of the captured image, and overlay the further enlarged image on the preset area using the OSD. In other words, the display controller 110 may perform a zoom-in function for the preset area.

[0040] 4A and 4B are schematic diagrams of partial enlargement screens according to an embodiment of the present invention. In FIG. 4A, the avatar controlled by the player is in aim and shooting mode. The game application enlarges the scale of the image in the preset area 300. However, the image scale may not be enlarged sufficiently, making it difficult for the player to aim at the target. In FIG. 4B, the display controller 110 may determine that the avatar has entered aim and shooting mode based on the game application enlarging the scale of the image in the preset area 300. The display controller 110 may further enlarge the scale of the image in the preset area 300 to allow the player to aim at the target more easily.

[0041] In one embodiment, the degree to which the image in the preset area of ​​the video signal is enlarged by display controller 110 may be inversely proportional to the degree to which this image is enlarged by the game application. For example, if an avatar aims using a 2x scope, the game application may enlarge the scale of the image in the preset area by 2x. Display controller 110 may further enlarge the scale of the image in the preset area by 10x via the OSD, thereby enlarging the image scale by 20x. On the other hand, if the avatar aims using a 10x scope, the game application may enlarge the scale of the image in the preset area by 10x. Display controller 110 may further enlarge the scale of the image in the preset area by 2x via the OSD, thereby enlarging the image scale by 20x.

[0042] In one embodiment, the display controller 110 may associate the degree of expansion of the scale of the image in the preset area of ​​the video signal with the virtual prop when the avatar enters the aim and fire mode. When the display controller 110 determines that a first virtual prop of the game application has been enabled according to the recognition result, the display controller 110 may adjust the scale of the image in the preset area to a first scale. When the display controller 110 determines that a second virtual prop different from the first virtual prop of the game application has been enabled according to the recognition result, the display controller 110 may adjust the scale of the image in the preset area to a second scale different from the first scale. For example, when the display controller 110 determines that the avatar has entered the aim and fire mode while holding a rifle, the display controller 110 may adjust the scale of the image in the preset area by two times via the OSD. On the other hand, when the avatar has entered the aim and fire mode while holding a sniper rifle, the display controller 110 may adjust the scale of the image in the preset area by ten times via the OSD.

[0043] In one embodiment, the display controller 110 can determine the trajectory of the object in the video signal based on the recognition result and highlight the trajectory. FIGS. 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 that the ballistic trajectory 500 caused by a bullet fired from the virtual prop 310 is displayed on the game screen based on the recognition result. The display controller 110 can display a screen 510 corresponding to the ballistic trajectory 500 in a 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 or line of the screen 510 to be different from the color or thickness of the ballistic trajectory 500.

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

[0045] In one embodiment, the display controller 110 can determine whether the video signal includes a notification of an event occurrence according to the recognition result, and provide a screen corresponding to this notification using the GUI of the OSD. Figure 6 is a schematic diagram of a bomb placement screen 610 according to one embodiment of the present invention. The display controller 110 can determine that the video signal includes the bomb placement screen 610 according to the recognition result. This allows the display controller 110 to display a countdown screen 620 in a preset area (e.g., the upper right corner of the game screen) using the GUI of the OSD.

[0046] The training data for the machine learning model used by processor 130 to determine whether a video signal contains a bomb planting screen may include video signals (or game screens) that may or may not contain a bomb planting screen and may include a label indicating whether a bomb planting screen is present. Processor 130 may train the machine learning model using the labeled training data.

[0047] The functions of display device 100 may 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 display content according to one embodiment of the present invention. Electronic device 700 may include a processor 710, a storage medium 720, and a transceiver 730.

[0048] The processor 710 may be, for example, a CPU, or other programmable general-purpose or special-purpose 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 a storage medium 720 and a transceiver 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, the bridge chip 120, and / or the processor 130.

[0049] The storage medium 720 may be, 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, used to store multiple modules or various applications executable by the processor 710.

[0050] The transceiver 730 transmits or receives signals wirelessly or via wires. The transceiver 730 may also perform low-noise amplification, impedance matching, mixing, frequency up or down conversion, filtering, amplification, and similar operations.

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

[0052] In step S802, a user can connect input and output ports of a display device (e.g., display device 100) to a transceiver 730 of the electronic device 700, which can support a communication protocol such as USB, HDMI (registered trademark), or DP.

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

[0054] In step S804, the software program may receive a video signal from the display device via the transceiver 730, where the video signal may include a game screen of a game application. In one embodiment, the game application is executed by the electronic device 700, and the software program may also obtain the video signal directly 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 obtain a recognition result. The machine learning model used by the software program includes, for example, R-CNN. Steps S805 to S807 are almost the same as steps S203 to S205 in FIG. 2, so they will not be described again.

[0056] In step S808, the software program may determine whether a specific virtual object or scene has been detected according to 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 a preset area of ​​the OSD corresponding to the video signal according to the recognition result and generates an output image through the display device. The output image may include a game screen corresponding to the video signal and an OSD GUI covering the preset area of ​​the game screen. For example, the software program may provide the player with functions such as increasing the magnification of the scope or activating the crosshairs through 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 not update the OSD or may disable functions provided to the player by the electronic device 700.

[0057] 9 is a flowchart of a method for adjusting display content according to an embodiment of the present invention. This method can be implemented by the display device 100 shown in FIG. 1 or the electronic device 700 shown in FIG. 7. In step S901, a video signal is received. In step S902, object recognition is performed on the video signal to obtain a recognition result. In step S903, a preset area corresponding to the video signal in an 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, a display device (or electronic device) of the present invention can perform object recognition on a video signal of a shooting game, determine the type of virtual prop currently being held by an avatar controlled by a player, determine whether the avatar is in aim and fire mode, and adjust the on-screen display according to the determination result. If the avatar aims 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 crosshairs (e.g., a sniper rifle), the display device can automatically display crosshairs to the player, allowing the player to aim at the target more effectively. If the avatar has completed planting a bomb, the display device can provide a countdown screen to the player. If the ballistic trajectory on the game screen is unclear, the display device can highlight the ballistic trajectory. Functions for adjusting display content provided by the present invention, such as increasing the scope magnification and activating crosshairs, can be provided by the on-screen display of the display device. If a player is providing commentary, the game screen seen by spectators is not affected by the functions provided by the present invention and remains 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 device 110: Display controller 120: Bridge chip 130, 710: Processor 140: Display module 300: Preset Area 310: Virtual Prop 320: Crosshair 500: Ballistic trajectory 610: Bomb placement 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. A 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 indicates that the first or second virtual prop of the video signal has been enabled. The controller, upon determining that the first virtual prop has been enabled, adjusts the preset area to the first scale. The controller is a display device that adjusts the preset area to a second scale different from the first scale when it is determined that the second virtual prop has been enabled.

4. A 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 display controller is a display device that enables or disables the crosshairs of the preset area according to the recognition result.

5. The recognition result is whether or not the virtual prop of the video signal has been enabled. The display device according to claim 4, wherein the display controller enables or disables the crosshair in response to the determination that the virtual prop has been enabled.

6. The recognition result is that the avatar in the video signal has entered hip-fire mode or aiming-fire mode. The display device according to claim 5, wherein the display controller enables the crosshair in response to the determination that the avatar has entered the hip-fire mode.

7. The display device according to claim 6, wherein the display controller disables the crosshair in response to the determination that the avatar has entered the aiming and shooting mode.

8. A 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 processor performs the object recognition using a region-based convolutional neural network. The aforementioned domain-based convolutional neural network includes a domain-proposed network in a display device.

9. A 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 aforementioned recognition result is a ballistic trajectory, The display controller displays a screen corresponding to the ballistic trajectory in the preset area of ​​the on-screen display. A display device in which the color of the screen differs from the color of the ballistic trajectory.

10. A 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 aforementioned recognition result is a bomb placement screen. The display controller is a display device that displays a countdown screen in the preset area.

11. 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.

12. 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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