CN114625526A - Electronic equipment and video recording control method, device and storage medium thereof - Google Patents

Abstract

The present application relates to an electronic device and a video recording control method, device and storage medium thereof. The method includes: setting the frequency of each processor in the application processing chip and the image signal processing chip based on the current video recording scene; frequency is adjusted. Thus, the camera effect can be ensured and the power consumption of the whole machine can be reduced.

Description

Electronic equipment and video recording control method, device and storage medium thereof

technical field

The present application relates to the technical field of image processing, and in particular, to an electronic device and a video recording control method, device and storage medium thereof.

Background technique

At present, the mobile terminal includes a main chip with image signal processing and an image pre-processing chip located before the main chip, and the image signal is processed correspondingly through the main chip and the image pre-processing chip. Processors such as network processors and the power consumption of each processor are relatively large, especially the power consumption of the network processor is very large, resulting in very large power consumption of the whole machine.

In the related art, the power consumption is reduced by using a network processor of a small model; or, the calculation amount of each processor in the image preprocessing chip is reduced by reducing the resolution and frame rate of the camera sensor to achieve the purpose of reducing power consumption, But these methods will affect the camera effect.

SUMMARY OF THE INVENTION

Based on this, it is necessary to provide an electronic device, a video recording control method, a device and a storage medium thereof, which can not only ensure the effect of the camera but also reduce the power consumption of the whole machine, aiming at the above technical problems.

A video recording control method for electronic equipment, the electronic equipment includes an application processing chip and an image signal processing chip, and the method includes:

Based on the current recording scene, set the frequency of each processor in the application processing chip and the image signal processing chip; and

The frequency of at least one processor in the application processing chip and the image signal processing chip is adjusted using the first scheduling policy.

A computer-readable storage medium stores a video recording control program of an electronic device thereon, and when the video recording control program of the electronic device is executed by a processor, realizes the above-mentioned video recording control method of the electronic device.

An electronic device includes a memory, a processor, and a video recording control program of the electronic device stored on the memory and running on the processor. When the processor executes the video recording control program, the above-mentioned video recording control method of the electronic device is realized.

A video recording control device for electronic equipment, comprising:

a setting module for setting the frequency of each processor in the application processing chip and the image signal processing chip based on the current recording scene; and

The adjustment module is configured to adjust the frequency of at least one processor in the application processing chip and the image signal processing chip by adopting the first scheduling strategy.

The above-mentioned electronic equipment and its video recording control method, device and storage medium, by setting the frequency of each processor in the application processing chip and the image signal processing chip based on the current video recording scene, and adopting the first scheduling strategy for the application processing chip and the image signal processing chip. The frequency of at least one processor in the signal processing chip is adjusted, so as to ensure the video recording effect and reduce the power consumption of the whole machine.

Description of drawings

1 is an application environment diagram of a video recording control method of an electronic device in one embodiment;

2 is a schematic flowchart of a video recording control method of an electronic device in one embodiment;

3 is a schematic flowchart of a video recording control method of an electronic device in another embodiment;

4 is a schematic flowchart of a video recording control method of an electronic device in another embodiment;

5 is a schematic diagram of a software architecture of a video recording control method of an electronic device in one embodiment;

6 is a schematic diagram of a software architecture of a video recording control method of an electronic device in another embodiment;

7 is a graph showing the relationship between power consumption and capability of a central processing unit in one embodiment;

FIG. 8 is a capability graph of the central processing unit before optimization in one embodiment;

FIG. 9 is a capability graph of the central processing unit before optimization in one embodiment;

FIG. 10 is a structural block diagram of a video recording control apparatus of an electronic device in one embodiment.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present application more clearly understood, the present application will be described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application.

The video recording control method of an electronic device provided by the present application can be applied to the electronic device as shown in FIG. 1 . Electronic equipment includes image signal processing chips and application processing chips. Among them, the application processing chip is mainly used to process traditional image processing algorithms, such as dead pixel correction, temporal noise reduction, 3D noise reduction, white balance, automatic exposure, etc. Central Processing Unit (CPU), Graphics Processing Unit (GPU), Digital Signal Processing (DSP), and Double Data Rate (DDR), etc., image The signal processing module may include an Image Front End (IFE), an Image Processing Engine (IPE), a Bayer Processing Segment (BPS), and the like.

The image signal processing chip is mainly used for differential algorithms, such as backlight photography in RAW (unprocessed image) domain, high dynamic range image (High Dynamic Range, HDR) photography, preview and video effect enhancement, etc., which may include pre-images. Signal processing (Pre Image Signal Processing, PreISP) module, central processing unit, double-rate synchronous dynamic random access memory and mobile industry processor interface (Mobile Industry Processor Interface, MIPI), etc. The early image signal processing module may include a front-end processor ( Front End, FE), network processor (Neural-network Processing Unit, NPU) and back-end processor (Back End, BE) and so on. The electronic device may be a mobile phone, a tablet computer, a smart camera, and other devices having a photographing or video recording function.

In one embodiment, as shown in FIG. 2, a video recording control method of an electronic device is provided, and the method is applied to the electronic device shown in FIG. 1 as an example for description, including the following steps:

Step 202 , based on the current video recording scene, set the frequency of each processor in the application processing chip and the image signal processing chip.

For example, a camera application is usually set in an electronic device (such as a mobile phone). When a user takes a photo or video through an electronic device, the camera application is opened, and relevant settings are made through the application setting interface of the camera application, such as setting the recording scene, Whether to set time-lapse photography, whether to add filters, etc., the video scenes include but are not limited to super night scene mode, extreme night mode, portrait photo mode and general mode. After the user has set up through the camera application, the camera middleware gets the recording scene.

In this application, for different video recording scenarios, each processor in the application processing chip and the image signal processing chip corresponds to different frequencies, and these frequencies are the corresponding frequencies when the camera performance (effect) and power consumption reach a balance. Meet the camera performance requirements and meet the power consumption requirements. In practical applications, the frequency of each processor in the application processing chip and the image signal processing chip can be obtained through calculation and testing in advance when the camera performance and power consumption in different recording modes reach the best balance point, and then each recording scene and corresponding The frequency of each processor in the application processing chip and the image signal processing chip is correspondingly stored in the camera middleware.

In one embodiment, the above-mentioned video recording control method of the electronic device further includes: predetermining the frequency of at least one processor in the application processing chip and the image signal processing chip according to the load of the video recording scene; The frequency of each processor in the application processing chip and the image signal processing chip.

In this application, the load of the video recording scene refers to the resolution and frame rate output by the camera sensor, and different video recording scenes correspond to different resolutions and frame rates. In practical applications, the resolution and frame rate of the camera sensor output corresponding to different video scenes can be obtained first, and according to the resolution and frame rate output by the camera sensor, the camera performance and power consumption in different video scenes can be obtained through calculation and testing. It is best to balance the frequency of each processor in the application processing chip and the image signal processing chip, and then store the frequencies of each video recording scene and the corresponding processor in the application processing chip and the image signal processing chip into the camera middleware. .

After the camera middleware obtains the current recording scene, the frequency of each processor in the corresponding application processing chip and image signal processing chip can be obtained by searching according to the current recording scene, and the application processing chip and the image signal processing chip can be searched according to the obtained frequencies. The frequency of each processor in the image signal processing chip is set. For example, according to the frequency obtained by the search, the frequency of the relevant processors in the image signal processing chip such as the central processing unit, the network processor and the double-rate synchronous dynamic random access memory, etc., as well as the relevant processors in the application processing chip, are determined by the nodes provided by the kernel. Such as the frequency of the central processing unit, graphics processing unit and digital signal processor, etc., so that the frequency of each processor in the image signal processing chip and the application processing chip matches the current recording scene, so that it can not only meet the performance requirements of the camera, but also can meet the power consumption requirements.

Step 204, using the first scheduling strategy to adjust the frequency of at least one processor in the application processing chip and the image signal processing chip.

In this application, the first scheduling strategy is also called lazy scheduling strategy, which specifically refers to the adjustment sensitivity to the frequency of each processor in the application processing chip and the image signal processing chip, which is reflected in the adjustment parameter as the adjustment step size of the frequency. The adjustment step corresponding to the first scheduling policy is a smaller value.

After the camera middleware completes setting the frequency of each processor in the application processing chip and the image signal processing chip based on the current video recording scene, the first scheduling strategy is also used for at least one processor in the application processing chip and the image signal processing chip frequency is adjusted. For example, each recording scene adopts the same first scheduling strategy, that is, the same adjustment step size is adopted; or, different recording scenes adopt different first scheduling strategies, that is, different adjustment step size is adopted. The larger the adjustment step, the lower the load of the recording scene, and the smaller the adjustment step.

In one embodiment, the frequency adjustment interval of at least one processor is [Freq*(1-10%), Freq*(1+10%)], where Freq is the frequency of the processor, that is, based on the current recording scene acquired. It can be understood that since the video recording scene has relatively stable requirements for camera performance, the minimum frequency of each of the above processors can be set to Freq*(1-10%), and the maximum frequency is Freq*(1+10%).

In the above-mentioned embodiment, the frequency of each processor in the application processing chip and the image signal processing chip is set based on the current video recording scene, and the first scheduling strategy is used for at least one processor in the application processing chip and the image signal processing chip. The frequency of the camera can be adjusted to meet both the performance requirements of the camera and the power consumption requirements, effectively solving the problem of reducing power consumption by using a small model image processor, or reducing the resolution and frame rate of the camera sensor to reduce the image signal. The camera performance is affected by processing the calculation amount of each processor in the chip to achieve the purpose of reducing power consumption. At the same time, setting different frequencies for different recording scenarios and using the first scheduling strategy for adjustment can effectively avoid all recordings. High power consumption or camera performance is affected due to the use of the same frequency in the scenes.

In one embodiment, as shown in FIG. 3 , the video recording control method of the electronic device further includes:

Step S302, determining whether the current video recording scene is superimposed with dynamic effects.

After the user selects the recording scene through the camera application, the user can also add corresponding dynamic effects to the recording scene through the camera application, wherein the dynamic effects include but are not limited to HDR effects, beauty processing effects, background blur processing effects, and dazzling colors. effects, anti-shake effects, and ultra-quality effects. After the user completes adding the video scene and the corresponding dynamic effects through the camera application, the camera middleware will obtain the video scene and the dynamic effects that need to be superimposed.

Step S304, if it is determined to superimpose the dynamic effect, the superposition frequency is obtained according to the dynamic effect, and the superimposed frequency is increased to the set frequency of each processor in the application processing chip and the image signal processing chip, and the second scheduling strategy is adopted for the application. The superimposed frequency of at least one processor in the processing chip and the image signal processing chip is adjusted.

In this application, the second scheduling strategy is also called the sensitive scheduling strategy, which specifically refers to the adjustment sensitivity to the frequency of each processor in the application processing chip and the image signal processing chip, which is reflected in the adjustment parameter as the adjustment step size of the frequency. The adjustment step corresponding to the second scheduling policy is a larger value. The adjustment sensitivity of the first scheduling strategy to the processor frequency is smaller than the adjustment sensitivity of the second scheduling strategy to the processor frequency.

Different video scenes correspond to different dynamic effects, and different dynamic effects correspond to different superimposition frequencies, which can be obtained through calculation and testing. For example, the corresponding superposition frequencies of the HDR effect, anti-shake effect and super image quality effect in the super night scene mode can be obtained through calculation and testing in advance, and the corresponding superimposed frequency of the anti-shake effect and super image quality effect in the extreme night mode can be obtained through calculation and testing. The superposition frequency, and so on, until the acquisition of the superposition frequency corresponding to each dynamic effect in all video scenes is completed. Then, the video recording scene, the dynamic effect corresponding to each video recording scene, and the superposition frequency corresponding to each dynamic effect are correspondingly stored in the camera middleware.

After the camera middleware obtains the current recording scene and the dynamic effects that need to be superimposed, it can first set the frequency of the relevant processors in the application processing chip and the image signal processing chip according to the frequency corresponding to the recording scene, and use the first scheduling strategy to The frequency of the relevant processors in the application processing chip and the image signal processing chip is adjusted, and then the corresponding superimposed frequency is obtained according to the dynamic effect that needs to be superimposed, and the superimposed frequency is superimposed to the relevant processors in the application processing chip and the image signal processing chip respectively. and the frequency of the relevant processors in the application processing chip and the image signal processing chip is adjusted by using the second scheduling strategy.

As a specific example, the recording scenes, dynamic effects and corresponding scheduling strategies can be referred to as shown in Table 1:

Table 1

It should be noted that, for the preview scene, since the frequency is floating, in the relevant preview scene, the frequency and scheduling policy of each processor are consistent with the general mode.

In the above embodiment, the frequency of each processor in the application processing chip and the image signal processing chip is set based on the current video recording scene, and the first scheduling strategy is used to control the frequency of at least one processor in the application processing chip and the image signal processing chip. The frequency is adjusted, and the superimposed frequency is obtained according to the dynamic effect that needs to be superimposed, and the superimposed frequency is superimposed to the set frequency of each processor in the application processing chip and the image signal processing chip, and the second scheduling strategy is used to process the application. The frequency after the superposition of at least one processor in the chip and the image signal processing chip is adjusted, so as to meet the different needs of the video recording scene and the dynamic effects that need to be superimposed, and effectively solve the problem that there are many dynamic effects, and some dynamic effects are also available. Variable level, it is difficult to evaluate the preset scene frequency of each scene in a static scene, and the frequency setting can meet both the camera performance requirements and the power consumption requirements.

As a specific example, referring to FIG. 4 , the video recording control method of the electronic device includes:

Step S402, determining a video recording scene.

After the user sets the recording scene and the dynamic effect through the camera application, the camera application initiates a switching operation between the recording scene and the dynamic effect.

Step S404 , set the frequency of the relevant processors in the application processing chip and the image signal processing chip to A, and adjust the frequency A of the relevant processors by using the first scheduling strategy.

The camera middleware stores the frequency corresponding to the recording scene, the superposition frequency corresponding to the dynamic effect, and the scheduling policy information. When the camera middleware obtains the video scene, it can search and obtain the frequency according to the video scene, and set the frequency of the relevant processors in the application processing chip and the image signal processing chip through the node provided by the kernel according to the frequency. A scheduling strategy adjusts the frequency A of the relevant processor through the nodes provided by the kernel.

Step S406, it is determined whether a dynamic effect is set. If yes, go to step S410; otherwise, go to step S408.

After the user sets the dynamic effect, the camera middleware will determine that the dynamic effect needs to be superimposed, and then step S410 is performed; when the user has not set the dynamic effect, the camera middleware will determine that the dynamic effect does not need to be superimposed, and then step S408 is performed.

Step S408, the video recording scene is used.

Step S410 , setting the frequency of the relevant processors in the application processing chip and the image signal processing chip as A_dynamic, and adjusting the frequency A_dynamic of the relevant processors by using the second scheduling strategy.

After the camera middleware determines that the dynamic effect needs to be superimposed, the superimposed frequency is obtained according to the dynamic effect search, and the superimposed frequency is superimposed on the relevant processor frequency through the node provided by the kernel, and the final processor frequency is A_dynamic. Then, the processor related to the dynamic effect is set as the second scheduling strategy, that is, the frequency A_dynamic of the relevant processor is adjusted through the node provided by the kernel by using the second scheduling strategy.

Step S412, it is judged whether all dynamic effects are closed. If yes, go back to step S404; otherwise, go back to step S410.

In short, as shown in FIG. 5 , the video recording control method of the electronic device may include: after receiving the video recording scene and dynamic effect set by the user, the camera application initiates a switching operation between the video recording scene and the dynamic effect. The camera middleware stores the frequency information corresponding to the recording scene and dynamic effect, as well as the scheduling strategy information. The camera middleware searches for the corresponding frequency according to the recording scene and dynamic effect, and sets the corresponding frequency and adjustment strategy through the nodes provided by the kernel. Set the node corresponding to the frequency and scheduling policy, such as the node where the kernel provides the frequency and scheduling policy of the central processing unit in the application processing chip, and the node where the frequency and scheduling policy of the graphics processor in the application processing chip are applied.

Specifically, referring to FIG. 6 , the video recording control method of the electronic device may include: after receiving the video recording scene and dynamic effect set by the user, the camera application initiates a switching operation between the video recording scene and the dynamic effect. After the camera server in the software layer receives the switching operation of the recording scene and the dynamic effect, it passes it to the power consumption management layer of the hardware abstraction layer of the image signal processing chip in the camera hardware abstraction layer, and the power consumption management layer stores the recording scene. The frequency and scheduling policy information corresponding to the dynamic effect, and the temperature sensor in the kernel driver provides the temperature information of the image signal processing chip and the whole machine to the power consumption management layer.

The hardware abstraction layer of the image signal processing chip finds the corresponding frequency according to the video scene and dynamic effect, including the frequency corresponding to the video scene and the superimposed frequency corresponding to the dynamic effect, and transmits the frequency related to the image signal processing chip to the image signal processing chip. The driver of the image signal processing chip sets the relevant processors according to the received frequency, such as setting the double-rate synchronous dynamic random access memory of the image signal processing chip and the central processing unit of the image signal processing chip. The frequency related to the processing chip is passed to the server of the image signal processing chip, and the server of the image signal processing chip passes the relevant frequency to the power consumption management server, and the power consumption management server notifies the power consumption hardware abstraction layer. Apply the processing chip's central processing unit and graphics processing unit to make settings.

In the above embodiment, based on the performance requirements of the video recording scene and dynamic effects, the frequency of the relevant processors in the application processing chip and the image signal processing chip is set, and the frequency is the best balance point between camera performance and power consumption, and for In the case where the camera performance requirements and stability of the video recording scenes and dynamic effects are inconsistent, the first and second scheduling policies are set respectively, so that the power consumption can be reduced while ensuring the performance requirements of each video recording scene.

In order to verify the validity of the present application, the following description is made with reference to FIGS. 7-9 . In this example, as shown in FIG. 7 , the central processing unit adopts a three-cluster architecture composed of small cores, large cores and super large cores, including four small cores, three large cores and one super large core. Among them, line 1 indicates that the large core can provide more performance than the large core under the same power consumption, and line 2 indicates that the small core can provide more performance than the large core under the same power consumption. A reason for the scheduling policy. Because if the small core switches to the large core due to the conflict of some tasks, it will cause task migration consumption of the central processor, and second, it will cause the task to run on the large core with a worse energy efficiency ratio, as shown in Figure 8. After adopting the solution provided by this application, even if some task conflicts occur, task migration will not occur. Although the tasks of the small core will increase, the overall power consumption will be reduced, so that the energy efficiency can be optimized, and the camera effect can be guaranteed. It can also reduce the power consumption of the whole machine.

It should be understood that although the steps in the flowcharts of FIGS. 2-6 are shown in sequence according to the arrows, these steps are not necessarily executed in the sequence shown by the arrows. Unless explicitly stated herein, the execution of these steps is not strictly limited to the order, and these steps may be performed in other orders. Moreover, at least a part of the steps in FIGS. 2-6 may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily executed and completed at the same time, but may be executed at different times. These sub-steps or stages are not necessarily completed at the same time. The order of execution of the steps is not necessarily sequential, but may be performed alternately or alternately with other steps or at least a part of sub-steps or stages of other steps.

In one embodiment, a computer-readable storage medium is provided, on which a video recording control program of an electronic device is stored, and when the video recording control program of the electronic device is executed by a processor, the above-mentioned video recording control method of an electronic device is implemented.

In one embodiment, an electronic device is provided, comprising a memory, a processor, and a video recording control program of the electronic device that is stored in the memory and can run on the processor. When the processor executes the video recording control program, the above-mentioned electronic device is implemented. recording control method.

In one embodiment, referring to FIG. 10 , a video recording control apparatus of an electronic device is provided, including: a setting module 10 and an adjustment module 20 .

Wherein, the setting module 10 is used for setting the frequency of each processor in the application processing chip and the image signal processing chip based on the current video recording scene; the adjusting module 20 is used for adopting the first scheduling The frequency of at least one processor is adjusted.

In one embodiment, the setting module 10 is further configured to: predetermine the frequency of at least one processor in the application processing chip and the image signal processing chip according to the load of the video recording scene; and query the corresponding application processing chip according to the current video recording scene and the frequency of each processor in the image signal processing chip.

In one embodiment, the adjustment module 20 is further configured to: determine whether a dynamic effect is superimposed on the current video recording scene; if it is determined to superimpose a dynamic effect, obtain the superimposition frequency according to the dynamic effect, and add the superimposition frequency to the application processing chip and the image signal processing The set frequency of each processor in the chip, and the superimposed frequency of at least one processor in the application processing chip and the image signal processing chip is adjusted using the second scheduling policy.

In one embodiment, the processor in the image signal processing chip includes: a central processing unit (CPU), a network processor (NPU), and a double-rate synchronous dynamic random access memory (DDR).

In one embodiment, the processors in the application processing chip include: a central processing unit (CPU), a graphics processing unit (GPU), and a digital signal processor (DSP).

In one embodiment, the video recording scene includes a super night scene mode, an extreme night mode, a portrait photography mode, and a general mode.

In one embodiment, the dynamic effects include HDR effects, beauty processing effects, background blur processing effects, colorful effects, anti-shake effects, and ultra-image quality effects.

In one embodiment, the adjustment sensitivity of the first scheduling policy to the processor frequency is less than the adjustment sensitivity of the second scheduling policy to the processor frequency.

In one embodiment, the adjustment interval of the frequency of the at least one processor is [Freq*(1-10%), Freq*(1+10%)], where Freq is the frequency of the at least one processor.

For the specific limitation of the video recording control device of the electronic device, reference may be made to the above limitation on the video recording control method of the electronic device, which will not be repeated here. All or part of the modules in the video recording control device of the electronic device can be implemented by software, hardware and combinations thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or stored in the memory in the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

The above-mentioned electronic equipment and its video recording control method, device and storage medium, by setting the frequency of each processor in the application processing chip and the image signal processing chip based on the current video recording scene, and adopting the first scheduling strategy for the application processing chip and the image signal processing chip. The frequency of at least one processor in the signal processing chip is adjusted, so as to ensure the video recording effect and reduce the power consumption of the whole machine.

Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be implemented by instructing relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage In the medium, when the computer program is executed, it may include the processes of the above-mentioned method embodiments. Wherein, any reference to memory, storage, database or other medium used in the various embodiments provided in this application may include non-volatile and/or volatile memory. Nonvolatile memory may include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Road (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

The technical features of the above embodiments can be combined arbitrarily. In order to make the description simple, all possible combinations of the technical features in the above embodiments are not described. However, as long as there is no contradiction in the combination of these technical features It is considered to be the range described in this specification.

The above-mentioned embodiments only represent several embodiments of the present application, and the descriptions thereof are specific and detailed, but should not be construed as a limitation on the scope of the invention patent. It should be pointed out that for those skilled in the art, without departing from the concept of the present application, several modifications and improvements can be made, which all belong to the protection scope of the present application. Therefore, the scope of protection of the patent of the present application shall be subject to the appended claims.

Claims (12)

1. A video recording control method of an electronic device, wherein the electronic device comprises an application processing chip and an image signal processing chip, and the method comprises the following steps:

setting the frequency of each processor in the application processing chip and the image signal processing chip based on the current video scene; and

and adjusting the frequency of at least one processor in the application processing chip and the image signal processing chip by adopting a first scheduling strategy.

2. The method of claim 1, further comprising:

according to the load of a video scene, the frequency of at least one processor in the application processing chip and the image signal processing chip is predetermined; and

and inquiring the frequency of each processor in the corresponding application processing chip and the image signal processing chip according to the current video scene.

3. The method of claim 1, further comprising:

judging whether the current video scene is superposed with a dynamic effect; and

and if the dynamic effect is determined to be superposed, acquiring superposed frequency according to the dynamic effect, adding the superposed frequency to the set frequency of each processor in the application processing chip and the image signal processing chip, and adjusting the superposed frequency of at least one processor in the application processing chip and the image signal processing chip by adopting a second scheduling strategy.

4. The method of claim 1 or 2, wherein the processor in the image signal processing chip comprises: a central processing unit CPU, a network processor NPU and a double-rate synchronous dynamic random access memory DDR.

5. The method of claim 1 or 2, wherein the processor in the application processing chip comprises: a central processing unit CPU, a graphic processing unit GPU and a digital signal processor DSP.

6. The method of claim 1 or 2, wherein the video recording scene comprises a super night scene mode, an extreme night mode, a portrait photographing mode, and a general mode.

7. The method of claim 3, wherein the dynamic effects comprise HDR effects, beautification effects, background blurring effects, glare effects, anti-shake effects, and super-picture quality effects.

8. The method of claim 3, wherein the first scheduling policy is less sensitive to adjustment of processor frequency than the second scheduling policy.

9. The method of claim 1, wherein the frequency of the at least one processor is adjusted over an interval of [ Freq (1-10%), Freq (1+ 10%) ], wherein Freq is the frequency of the at least one processor.

10. A computer-readable storage medium, having stored thereon a video recording control program of an electronic device, which when executed by a processor, implements a video recording control method of the electronic device according to any one of claims 1 to 9.

11. An electronic device, comprising a memory, a processor, and a video recording control program of the electronic device stored in the memory and operable on the processor, wherein the processor executes the video recording control program to implement the video recording control method of the electronic device according to any one of claims 1 to 9.

12. An apparatus for controlling video recording of an electronic device, comprising:

the setting module is used for setting the frequency of each processor in the application processing chip and the image signal processing chip based on the current video scene; and

and the adjusting module is used for adjusting the frequency of at least one processor in the application processing chip and the image signal processing chip by adopting a first scheduling strategy.

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