CN112307229A

CN112307229A - Data processing method and device, electronic equipment and computer readable storage medium

Info

Publication number: CN112307229A
Application number: CN201910676638.XA
Authority: CN
Inventors: 过一
Original assignee: Beijing Xiaomi Mobile Software Co Ltd
Current assignee: Beijing Xiaomi Mobile Software Co Ltd
Priority date: 2019-07-25
Filing date: 2019-07-25
Publication date: 2021-02-02

Abstract

The disclosure relates to a data processing method and apparatus, an electronic device, and a computer-readable storage medium; the method is applied to a function sharing device, and the function sharing device is provided with first data processing hardware; the method may include: receiving data to be processed sent by associated data source equipment, wherein the data source equipment is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware; processing the data to be processed through the first data processing hardware; and returning a processing result to the data source equipment.

Description

Data processing method and device, electronic equipment and computer readable storage medium

Technical Field

The present disclosure relates to the field of terminal technologies, and in particular, to a data processing method and apparatus, an electronic device, and a computer-readable storage medium.

Background

With the development of terminal technology, the functions configured by the mobile terminal are more and more abundant, and the functions continuously improve the life quality of people. Taking a mobile phone as an example, based on the portability of the mobile phone, people usually carry the mobile phone during traveling, and take pictures, videos and the like through the mobile phone to record experiences along the way or share own experiences with other people.

Disclosure of Invention

The present disclosure provides a method and an apparatus, and an electronic device, to solve the deficiencies in the related art.

According to a first aspect of the embodiments of the present disclosure, a data processing method is provided, which is applied to a data source device; the method comprises the following steps:

acquiring data to be processed;

determining at least one machine sharing device associated with the data source device; the function sharing device is configured with first data processing hardware, the data source device is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware;

and sending the data to be processed to the function sharing equipment, so that the function sharing equipment processes the data to be processed through the first data processing hardware and returns a processing result.

Optionally, the data source device is associated with a plurality of function sharing devices; the sending the to-be-processed data to the function sharing device includes:

determining a data distribution proportion corresponding to each machine sharing device according to the processing performance of first data processing hardware configured in each machine sharing device; the data distribution proportion of any function sharing device is positively correlated with the processing performance of the first data processing hardware configured by the function sharing device;

determining part of to-be-processed data corresponding to each machine sharing device based on the data distribution proportion;

and respectively sending corresponding part of to-be-processed data to each machine energy sharing device.

According to a second aspect of the embodiments of the present disclosure, a data processing method is provided, which is applied to a function sharing device, where the function sharing device is configured with a first data processing hardware; the method comprises the following steps:

receiving data to be processed sent by associated data source equipment, wherein the data source equipment is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware;

processing the data to be processed through the first data processing hardware;

and returning a processing result to the data source equipment.

Optionally, the data to be processed includes an original image file acquired by a camera of the data source device; the processing the data to be processed by the first data processing hardware includes:

performing beautifying processing on the original image file through a central processing unit of the function sharing equipment;

and/or performing noise reduction processing on the original image file through an image processor of the function sharing equipment;

and/or clipping the original image file through a graphic processor of the function sharing device.

Optionally, the data to be processed includes a file to be stored of the data source device;

the processing the data to be processed by the first data processing hardware includes: storing the file to be stored through a storage medium of the function sharing equipment;

the returning of the processing result to the data source device includes: and when an acquisition instruction aiming at the file to be stored sent by the data source equipment is received, reading the file to be stored from the storage medium, and returning the read file to be stored to the data source equipment.

Optionally, the processing the data to be processed by the first data processing hardware includes:

acquiring equipment state parameters on a preset dimension;

determining whether the device is in an idle state or not based on the acquired device state parameters and a preset parameter threshold;

and when the data to be processed is determined to be in the idle state, processing the data to be processed through the first data processing hardware.

Optionally, the preset dimension includes at least one of:

the residual available running memory, the residual electric quantity, the vacant storage space and the number of background running programs.

According to a third aspect of the embodiments of the present disclosure, there is provided a data processing apparatus, which is applied to a data source device; the device comprises:

an acquisition unit that acquires data to be processed;

the determining unit is used for determining at least one piece of machine sharing equipment associated with the data source equipment; the function sharing device is configured with first data processing hardware, the data source device is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware;

and the sending unit is used for sending the data to be processed to the function sharing equipment so that the function sharing equipment processes the data to be processed through the first data processing hardware and returns a processing result.

Optionally, the data source device is associated with a plurality of function sharing devices; the transmission unit includes:

the proportion determining subunit is used for determining the data distribution proportion corresponding to each machine sharing device according to the processing performance of the first data processing hardware configured to each machine sharing device; the data distribution proportion of any function sharing device is positively correlated with the processing performance of the first data processing hardware configured by the function sharing device;

the data determining subunit is used for determining part of to-be-processed data corresponding to each machine sharing device based on the data distribution proportion;

and the sending subunit is used for sending corresponding parts of the data to be processed to each machine energy sharing device respectively.

According to a fourth aspect of the embodiments of the present disclosure, a data processing apparatus is provided, which is applied to a function sharing device, where the function sharing device is configured with a first data processing hardware; the device comprises:

the data processing device comprises a receiving unit, a processing unit and a processing unit, wherein the receiving unit is used for receiving data to be processed sent by associated data source equipment, the data source equipment is provided with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware;

the processing unit is used for processing the data to be processed through the first data processing hardware;

and the return unit returns the processing result to the data source equipment.

Optionally, the data to be processed includes an original image file acquired by a camera of the data source device; the processing unit includes:

the beautifying subunit is used for beautifying the original image file through a central processing unit of the function sharing equipment;

and/or the noise reduction subunit is used for performing noise reduction processing on the original image file through an image processor of the function sharing equipment;

and/or the clipping subunit is used for clipping the original image file through a graphics processor of the function sharing device.

the processing unit includes: the storage subunit is used for storing the file to be stored through a storage medium of the function sharing equipment;

the return unit includes: and the reading subunit is used for reading the file to be stored from the storage medium and returning the read file to be stored to the data source device when receiving the acquisition instruction which is sent by the data source device and aims at the file to be stored.

Optionally, the processing unit includes:

the acquisition subunit acquires equipment state parameters in a preset dimension;

the determining subunit determines whether the determining subunit is in an idle state or not based on the acquired equipment state parameter and a preset parameter threshold;

and the processing subunit processes the data to be processed through the first data processing hardware when determining that the processing subunit is in an idle state.

Optionally, the preset dimension includes at least one of:

According to a fifth aspect of embodiments of the present disclosure, there is provided an electronic apparatus including:

a processor;

a memory for storing processor-executable instructions;

wherein the processor executes the executable instructions to implement the data processing method according to any one of the above embodiments.

According to a sixth aspect of the embodiments of the present disclosure, there is provided a computer readable storage medium having stored thereon computer instructions which, when executed by a processor, implement the steps of the data processing method as described in any one of the above embodiments.

The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:

according to the embodiment, the data source equipment and other equipment with higher processing performance are associated, and when the data to be processed exists in the data source equipment, the equipment with the associated relationship can be used as the function sharing equipment to share the processing resource with the data source equipment, so that the data to be processed is sent to the function sharing equipment, and the function sharing equipment replaces the data source equipment to process the data to be processed. On one hand, the processing resources of the function sharing equipment are shared to the data source equipment, so that the utilization rate of the processing resources is improved, and the cost of a user is reduced; on the other hand, since the processing performance of the function sharing device is higher than that of the data source device (as embodied in that the function sharing device is configured with hardware and software algorithms with higher processing quality compared with the data source device), the function sharing device replaces the data source device to process the data to be processed, so that the effect and quality of processing the data can be improved, and the user experience is improved.

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

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.

Fig. 1 is a flowchart illustrating a data processing method based on a data source device side according to an exemplary embodiment.

Fig. 2 is a flowchart illustrating a data processing method based on a function sharing device side according to an exemplary embodiment.

FIG. 3 is an architectural diagram illustrating an image processing system according to an exemplary embodiment.

FIG. 4 is an interaction diagram illustrating image processing through functional sharing according to an example embodiment.

Fig. 5 is an interaction diagram illustrating file storage through function sharing according to an example embodiment.

FIG. 6 is a block diagram illustrating a data processing apparatus according to an example embodiment.

Fig. 7-11 are block diagrams illustrating another data processing apparatus according to an example embodiment.

FIG. 12 is a block diagram illustrating a data processing apparatus according to an example embodiment.

Detailed Description

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

The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.

Fig. 1 is a flowchart illustrating a data processing method based on a data source device side according to an exemplary embodiment, where the method is applied to a data source device, as shown in fig. 1, and may include the following steps:

in step 102, data to be processed is acquired.

In an embodiment, the data to be processed may be an original image file (raw) acquired by the data source device through the camera, and then the function sharing device is used to replace the data source device to process the original image file, so that not only the processing speed is faster, but also the image quality of the processed image file is higher.

In another embodiment, the data to be processed may be a file to be stored (hereinafter referred to as a file to be stored) acquired by the data source device, and since the processing resource of the data source device is limited (in this embodiment, it is shown that the storage resource is limited), the function sharing device replaces the data source device to store the file to be stored, so as to avoid a problem that the data source device cannot continuously store other files after storing the file to be stored due to the limited storage resource, or even cannot store the file to be stored, and improve the utilization rate of the storage resource of the function sharing device. And when the user of the data source equipment has the requirement of using the file to be stored, the file to be stored can be acquired by sending an acquisition instruction to the function sharing equipment.

In step 104, determining at least one machine sharing device associated with the data source device; the function sharing device is configured with first data processing hardware, the data source device is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware.

In this embodiment, the data source device may establish an association relationship with the function sharing device through bluetooth, wifi, USB, sharing hot spot, and the like. The data source device may establish an association relationship with one function sharing device, or may establish an association relationship with a plurality of function sharing devices.

In step 106, the to-be-processed data is sent to the function sharing device, so that the function sharing device processes the to-be-processed data through the first data processing hardware, and returns a processing result.

In this embodiment, for the case that the data source device establishes an association relationship with the multiple function sharing devices, the to-be-processed data may be allocated based on the processing performance of each function sharing device (i.e., the processing performance of the first data processing hardware configured in the function sharing device).

For example, a data allocation proportion corresponding to each machine-shared device may be determined according to processing performance of first data processing hardware configured in each machine-shared device, and then, based on the determined data allocation proportion, a part of to-be-processed data corresponding to each machine-shared device is determined, and then, the corresponding part of to-be-processed data is sent to each machine-shared device. The data distribution proportion of any function sharing device is positively correlated with the processing performance of the first data processing hardware configured by the function sharing device. By the method for distributing the data to be processed, the processing performance of each function sharing device can be fully utilized, the processing resources of each function sharing device can be maximally utilized, and the problem that the function sharing devices influence the running performance of the function sharing devices due to the fact that too much data to be processed is distributed can be avoided.

Accordingly, fig. 2 is a flowchart illustrating a data processing method based on a function sharing device side according to an exemplary embodiment, and as shown in fig. 2, the method is applied to a data source device (configured with a first data processing hardware), and may include the following steps:

in step 202, to-be-processed data sent by an associated data source device is received, the data source device is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware.

In an embodiment, the data to be processed may include an original image file acquired by a camera of the data source device. For example, the original image file is shot data obtained by shooting with a camera. In this case, the Processing performance (for example, parameters such as operating frequency, Cache capacity, instruction system, and logic structure) of the CPU disposed in the function sharing device is higher than that of the CPU disposed in the data source device; accordingly, a beauty algorithm with better beauty effect (higher requirement on hardware) can be configured in the machine-capable sharing device. Therefore, the data source device can send the photographing data acquired by the camera to the associated function sharing device, so that the function sharing device performs the beautifying processing on the photographing data through the CPU (running the beautifying algorithm) of the function sharing device. Of course, the function sharing device may also be configured with a beauty algorithm that is the same as that of the data source device, so that the function sharing device performs beauty processing on the photographing data through its own CPU (i.e., performs beauty processing instead of the data source device), and an effect of acceleration (i.e., a shorter time spent in the beauty processing) may be achieved.

Alternatively, in this case, the processing performance (for example, parameters such as operating frequency, Cache capacity, command system, and logic configuration) of the ISP disposed in the function sharing device is higher than that of the ISP disposed in the data source device; accordingly, a noise reduction algorithm with better noise reduction effect (with higher requirement on hardware) can be configured in the machine-capable sharing device. Therefore, the data source device can send the photographing data acquired by the camera to the associated function sharing device, so that the function sharing device performs noise reduction processing on the photographing data through its own ISP (running noise reduction algorithm). Of course, the same noise reduction algorithm as that of the data source device may be configured in the function sharing device, so that the function sharing device performs noise reduction processing on the photographing data through its own ISP (i.e., performs noise reduction processing instead of the data source device), and an effect of acceleration (i.e., a shorter time spent on the noise reduction processing) may be achieved.

Or, the original image file is video data obtained by shooting with a camera, and compared with a GPU (Graphics Processing Unit) configured in the data source device, the Processing performance (for example, parameters such as operating frequency, operating speed, chip process, and the like) of the GPU configured in the function sharing device is higher; accordingly, a clipping algorithm with better automatic clipping effect (higher requirement on hardware) can be configured in the machine-capable sharing device. Therefore, the data source device can send the video data shot by the camera to the associated function sharing device, so that the function sharing device clips the video data through its GPU (running a clipping algorithm). Of course, the same clipping algorithm as that of the data source device may also be configured in the function sharing device, so that the function sharing device clips the video data through its GPU (i.e., clips the video data instead of the data source device), and an effect of acceleration (i.e., a shorter time spent on clipping) may be achieved.

In another embodiment, the data to be processed may comprise a file to be stored of the data source device. In this case, the storage space of the storage medium disposed in the function sharing device is larger than the storage space of the storage medium disposed in the data source device. Because the processing resources of the data source device are limited (in this embodiment, the storage space is shown to be small), the function sharing device replaces the data source device to store the file to be stored, so that the problem that the data source device cannot continuously store other files after storing the file to be stored due to limited storage resources, or even cannot store the file to be stored, can be avoided, and meanwhile, the utilization rate of the storage resources of the function sharing device can be improved. And when the user of the data source equipment has the requirement of using the file to be stored, the file to be stored can be acquired by sending an acquisition instruction to the function sharing equipment.

For example, the function sharing device may perform storage processing on a file to be stored from the data source device through its own storage medium. And when an acquisition instruction aiming at the file to be stored sent by the data source equipment is received, reading the file to be stored from the storage medium of the data source equipment, and returning the read file to be stored to the data source equipment.

In step 204, the data to be processed is processed by the first data processing hardware.

In this embodiment, before processing the data to be processed, the function sharing device may first acquire a device state parameter of the function sharing device in a preset dimension, and then determine whether the function sharing device is in an idle state based on the acquired device state parameter and a preset parameter threshold. And when the self is determined to be in the idle state, processing the data to be processed by the first data processing hardware. Before processing the data to be processed from the data source equipment, determining whether the data is in an idle state or not, and processing the data under the condition that the data is determined to be in the idle state, so that the processing process can be carried out efficiently.

Wherein the preset dimension may include at least one of: the residual available running memory, the residual electric quantity, the vacant storage space and the number of background running programs. Of course, information of other dimensions may also be selected to measure whether the function sharing device is in an idle state, which is not limited by the present disclosure. Based on the setting of the preset dimensionality, the function sharing equipment can be effectively prevented from further processing the data to be processed under the conditions that the current required processing data is too much and is in a low-power state, and the like, so that the processing efficiency is improved.

In step 206, the processing result is returned to the data source device.

In the above example, the function sharing device may return the photographed data after beauty, the photographed data after noise reduction, the clipped video data, the storage result (successful storage, failed storage), and the like to the data source device.

It should be noted that the data source device may encrypt the data to be processed, so as to ensure that the function sharing device assists the data source device to perform the auxiliary operation only through its own hardware, without performing additional access, thereby ensuring the security of the data.

For the sake of understanding, the data processing scheme of the present disclosure is described in detail below with reference to the accompanying drawings and examples.

As shown in fig. 3, fig. 3 is an architectural diagram illustrating an image processing system according to an exemplary embodiment. As shown in fig. 3, the system may include a data source device 30 and several function sharing devices, such as cell phones 31-33.

The data source device 30 may be a mobile phone and may also be an electronic device of the following type: tablet devices, notebook computers, Personal Digital Assistants (PDAs), wearable devices (e.g., smart glasses, smart watches, etc.), etc., which are not limited by this disclosure. Similarly, the function sharing device may be a physical server including an independent host, or a virtual server carried by a host cluster, or an electronic device of the foregoing type, which is not limited by the disclosure. The data source equipment and the function sharing equipment can interact through modes such as Bluetooth, wifi, USB and sharing hot spots.

Based on the above system architecture, please refer to fig. 4, fig. 4 is an interaction diagram illustrating image processing through function sharing according to an exemplary embodiment. As shown in fig. 4, the process may include the steps of:

in step 402, a connection is established between the low-profile mobile phone and the high-profile mobile phone, and an association relationship is bound.

In this embodiment, taking the data source device as a low-profile mobile phone and the function sharing device as a high-profile mobile phone as an example for explanation, the user a can bind the associated relationship between the low-profile mobile phone of the user a and the high-profile mobile phone of the user with a close relationship between the user a and friends of the family, so that the data generated by the low-profile mobile phone of the user a can be quickly processed by the high-profile mobile phone, and a processing result with a better processing effect can be obtained.

The processing performance of a CPU, a GPU, an ISP, a storage space and the like of the high-power mobile phone is higher than that of the low-power mobile phone, and the function of processing data through the function sharing can be integrated into the high-power mobile phone and the low-power mobile phone in a function sharing mode. For example, the high-profile mobile phone and the low-profile mobile phone both turn on a "function sharing mode" and establish a connection (via bluetooth, wifi, USB, sharing hot spot, etc.) with each other to bind the association relationship. Then, the subsequent low-profile mobile phone can automatically send the shot original image file to the high-profile mobile phone, and the high-profile mobile phone assists in processing.

In step 406, the low handset sends the original image file to the high handset.

In this embodiment, the original image file may be shot data obtained by shooting with a camera, or video data obtained by shooting with a camera. When the original image file is the photographing data, the low-profile mobile phone can send the photographing data obtained by photographing to the high-profile mobile phone, so that the high-profile mobile phone performs the beautifying processing on the photographing data by using the CPU of the high-profile mobile phone and performs the noise reduction processing on the photographing data by using the ISP of the high-profile mobile phone. When the original image file is video data, the low-profile mobile phone can send the video data obtained by shooting to the high-profile mobile phone, and the high-profile mobile phone can automatically clip the video data by using the GPU of the high-profile mobile phone.

In this embodiment, when the low-profile mobile phone and the plurality of high-profile mobile phones establish an association relationship for function sharing, data to be processed can be allocated based on the processing performance of each high-profile mobile phone, so that the processing performance of each high-profile mobile phone is fully utilized, the processing resources of each high-profile mobile phone are maximally utilized, and meanwhile, the high-profile mobile phone is prevented from affecting the running performance of the high-profile mobile phone due to the fact that too much data to be processed is allocated.

Taking the first data processing hardware of the high-performance mobile phone as the CPU (the case that the first data processing hardware is of another type is similar to this), as shown in fig. 3, it is assumed that the scores of the CPU processing performance (scored by parameters such as operating frequency, Cache capacity, instruction system and logic structure) of the high-performance mobile phones 31-33 are shown in table 1:

high-distribution mobile phone	CPU processing Performance Scoring (score 5)
		Mobile phone 31	4 is divided into
Mobile phone 32	3 points of
		Mobile phone 33	3 points of

TABLE 1

Then, when 10 pictures are taken by the low-profile handset (handset 30), 4 pictures can be sent to handset 31 and 3 pictures can be sent to handset 32 and handset 33, respectively.

In step 408, the high-profile handset obtains device status parameters.

In step 410, the high-end hand-piece determines whether it is in an idle state based on the device state parameters.

In this embodiment, before processing an original image file, the high-profile mobile phone may first acquire a device state parameter of the high-profile mobile phone in a preset dimension, and then determine whether the high-profile mobile phone is in an idle state based on the acquired device state parameter and a preset parameter threshold. And when the self is determined to be in the idle state, processing the data to be processed. Before processing to-be-processed data from a low-profile mobile phone, whether the low-profile mobile phone is in an idle state or not is determined, and processing is performed under the condition that the low-profile mobile phone is determined to be in the idle state, so that the high-efficiency processing process can be guaranteed. Wherein the preset dimension may include at least one of: the residual available running memory, the residual electric quantity, the vacant storage space and the number of background running programs. Of course, information of other dimensions may also be selected to measure whether the mobile terminal is in an idle state, which is not limited by the disclosure. Based on the setting of the preset dimensionality, the function sharing equipment can be effectively prevented from further processing the data to be processed under the conditions that the current required processing data is too much and is in a low-power state, and the like, so that the processing efficiency is improved.

For example, assuming the default dimension is the remaining available operating memory, the corresponding threshold is 600 MB. In one case, the high-level mobile phone detects that the current remaining available operating memory of the high-level mobile phone is 700MB (more than 600MB), and then can determine that the high-level mobile phone is currently in an idle state, and further can process the original image file sent by the low-level mobile phone. In another case, if the high-end mobile phone detects that the current remaining available operating memory of the high-end mobile phone is 500MB (less than 600MB), it may be determined that the high-end mobile phone is not currently in the idle state, and then processing of the original image file sent by the low-end mobile phone is currently prohibited until the current remaining available operating memory is detected to be not less than 600MB, and then processing of the original image file sent by the low-end mobile phone is performed. The situation of selecting the device state parameters of other dimensions is similar to the above process, and is not described herein again.

Aiming at the condition of selecting various types of equipment state parameters, the method can be set to process the original image file sent by the low-profile mobile phone only when the current equipment state parameters of all types are within the range of a preset threshold value; or, the original image file sent by the low-profile mobile phone can be processed as long as the device state parameter of any one of all the current types is within the preset threshold range. Of course, the conditions for processing the original image file sent by the low-profile mobile phone are specifically satisfied, and can be flexibly set according to the actual situation, which is not limited by the present disclosure.

In step 412, the high-profile mobile phone processes the original image file after determining that the high-profile mobile phone is in an idle state.

In one case, taking beauty as an example (noise reduction and clipping are similar), a beauty algorithm with better beauty effect (the requirement on hardware is correspondingly higher) is configured in the high-profile mobile phone. Then the high-profile mobile phone performs the beautifying processing on the photographing data through the CPU (running the beautifying algorithm) of the high-profile mobile phone, and a better beautifying effect can be achieved. In another case, the same beauty algorithm as that of the low-profile mobile phone is configured in the high-profile mobile phone, so that the high-profile mobile phone performs beauty processing on the photographing data through its own CPU (i.e., performs beauty processing instead of the data source device), and an effect of acceleration (i.e., a shorter time taken for beauty processing) can be achieved.

In step 414, the high-profile handset returns the processing results to the low-profile handset.

In the above example, the high-profile mobile phone may return the photographing data after beauty, the photographing data after noise reduction, the clipped video data, and the like to the low-profile mobile phone.

Referring to fig. 5, fig. 5 is an interaction diagram illustrating file storage through function sharing according to an exemplary embodiment. As shown in fig. 5, the process may include the steps of:

in step 502, a connection is established between the low-profile mobile phone and the high-profile mobile phone, and an association relationship is bound.

In step 504, the low-profile handset retrieves the file to be stored.

In step 506, the low handset sends the file to be stored to the high handset.

In step 508, the high-profile handset obtains device status parameters.

In step 510, the high-end handset determines whether it is in an idle state based on the device state parameters.

In step 512, the high-profile mobile phone receives and stores the file to be stored after determining that the high-profile mobile phone is in an idle state.

In the present embodiment, the specific implementation process of steps 502-512 can refer to steps 402-412, which are not described herein again.

In step 514, the low handset sends a fetch instruction for the file to be stored to the high handset.

In step 516, the high-profile mobile phone reads the file to be stored.

In step 518, the high-profile handset returns the file to be stored to the low-profile handset.

In this embodiment, the storage space of the storage medium in the highly-matched mobile phone is larger than that of the storage medium in the lowly-matched mobile phone. Because the processing resources of the low-configuration mobile phone are limited (in this embodiment, the storage space is small), the high-configuration mobile phone replaces the low-configuration mobile phone to store the file to be stored, so that the problem that the file to be stored cannot be stored continuously or even cannot be stored after being stored due to limited storage resources of the low-configuration mobile phone can be solved, and meanwhile, the utilization rate of the storage resources of the high-configuration mobile phone can be improved. And subsequently, when the user of the low-profile mobile phone has a need to use the file to be stored, the file to be stored can be acquired by sending an acquisition instruction to the high-profile mobile phone.

Corresponding to the foregoing embodiments of the data processing method, the present disclosure also provides embodiments of a data processing apparatus.

Fig. 6 is a block diagram illustrating a data processing apparatus based on a data source device side according to an exemplary embodiment. Referring to fig. 6, the apparatus is applied to a data source device, and includes:

an acquisition unit 61 configured to acquire data to be processed;

a determining unit 62 configured to determine at least one machine-sharable device associated with the data source device; the function sharing device is configured with first data processing hardware, the data source device is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware;

a sending unit 63, configured to send the to-be-processed data to the function sharing device, so that the function sharing device processes the to-be-processed data through the first data processing hardware, and returns a processing result.

As shown in fig. 7, fig. 7 is a block diagram of another data processing apparatus according to an exemplary embodiment, where on the basis of the foregoing embodiment shown in fig. 6, the data source device is associated with multiple function sharing devices, and the sending unit 63 may include:

a proportion determining subunit 631 configured to determine, according to the processing performance of the first data processing hardware configured to each of the machine-shared devices, a data allocation proportion corresponding to each of the machine-shared devices; the data distribution proportion of any function sharing device is positively correlated with the processing performance of the first data processing hardware configured by the function sharing device;

a data determining subunit 632 configured to determine, based on the data distribution ratio, part of the to-be-processed data corresponding to each of the machine-shared devices;

the transmitting subunit 633 is configured to transmit corresponding portions of the to-be-processed data to the respective machine-shared devices.

Fig. 8 is a block diagram illustrating a data processing apparatus based on a function sharing device side according to an exemplary embodiment. Referring to fig. 8, the apparatus is applied to a function sharing device configured with first data processing hardware, and includes:

a receiving unit 81 configured to receive data to be processed sent by an associated data source device, where the data source device is configured with second data processing hardware, and a processing performance of the first data processing hardware is higher than that of the second data processing hardware;

a processing unit 82 configured to process the data to be processed by the first data processing hardware;

a returning unit 83 configured to return a processing result to the data source device.

As shown in fig. 9, fig. 9 is a block diagram of another data processing apparatus according to an exemplary embodiment, which is based on the foregoing embodiment shown in fig. 8, where the data to be processed includes an original image file acquired by a camera of the data source device; the processing unit 82 may include:

a beauty subunit 821 configured to perform beauty processing on the original image file by a central processor of the function sharing device;

and/or a noise reduction subunit 822 configured to perform noise reduction processing on the original image file by an image processor of the function sharing device;

and/or a clipping subunit 823 configured to clip the original image file by the graphics processor of the function sharing device.

As shown in fig. 10, fig. 10 is a block diagram of another data processing apparatus according to an exemplary embodiment, which is based on the foregoing embodiment shown in fig. 8, where the data to be processed includes a file to be stored of the data source device;

the processing unit 82 may include: a storage subunit 824, configured to perform storage processing on the file to be stored through a storage medium of the function sharing device;

the returning unit 83 may include: a reading sub-unit 831, configured to, when receiving an acquisition instruction for the file to be stored sent by the data source device, read the file to be stored from the storage medium, and return the read file to be stored to the data source device.

It should be noted that, the structures of the storage subunit 824 and the reading subunit 831 in the device embodiment shown in fig. 10 may also be included in the device embodiment of fig. 9, and the disclosure is not limited thereto.

As shown in fig. 11, fig. 11 is a block diagram of another data processing apparatus according to an exemplary embodiment, where on the basis of the foregoing embodiment shown in fig. 8, the processing unit 82 may include:

an obtaining subunit 825 configured to obtain device state parameters in a preset dimension;

a determining subunit 826 configured to determine whether the device is in an idle state based on the acquired device state parameter and a preset parameter threshold;

a processing subunit 827 configured to process, by the first data processing hardware, the data to be processed when it is determined that it is in an idle state.

It should be noted that, the structures of the acquiring sub-unit 825, the determining sub-unit 826 and the processing sub-unit 827 in the apparatus embodiment shown in fig. 11 may also be included in the apparatus embodiments of fig. 9 to 10, and the disclosure is not limited thereto.

Optionally, the preset dimension includes at least one of:

With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.

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

Correspondingly, the present disclosure further provides a data processing apparatus, applied to a data source device, and may include: a processor; a memory for storing processor-executable instructions; the processor is configured to implement the data processing method as in any of the above embodiments, for example, the method may include: acquiring data to be processed; determining at least one machine sharing device associated with the data source device; the function sharing device is configured with first data processing hardware, the data source device is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware; and sending the data to be processed to the function sharing equipment, so that the function sharing equipment processes the data to be processed through the first data processing hardware and returns a processing result.

The present disclosure further provides another data processing apparatus, which is applied to a function sharing device, and may include: a processor; a memory for storing processor-executable instructions; the processor is configured to implement the data processing method as in any of the above embodiments, for example, the method may include: receiving data to be processed sent by associated data source equipment, wherein the data source equipment is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware; processing the data to be processed through the first data processing hardware; and returning a processing result to the data source equipment.

Accordingly, the present disclosure also provides a terminal comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and configured to be executed by the one or more processors, the one or more programs including instructions for implementing the data processing method according to any of the above embodiments, such as the method may include: acquiring data to be processed; determining at least one machine sharing device associated with the data source device; the function sharing device is configured with first data processing hardware, the data source device is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware; and sending the data to be processed to the function sharing equipment, so that the function sharing equipment processes the data to be processed through the first data processing hardware and returns a processing result.

The present disclosure also provides another terminal comprising a memory, and one or more programs, wherein the one or more programs are stored in the memory, and configured to be executed by the one or more processors, the one or more programs including instructions for implementing the data processing method according to any of the above embodiments, such as the method may include: receiving data to be processed sent by associated data source equipment, wherein the data source equipment is configured with second data processing hardware, and the processing performance of the first data processing hardware is higher than that of the second data processing hardware; processing the data to be processed through the first data processing hardware; and returning a processing result to the data source equipment.

Fig. 12 is a block diagram illustrating an apparatus 1200 for … … according to an example embodiment. For example, the apparatus 1200 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.

Referring to fig. 12, the apparatus 1200 may include one or more of the following components: processing component 1202, memory 1204, power component 1206, multimedia component 1208, audio component 1210, input/output (I/O) interface 1212, sensor component 1214, and communications component 1216.

The processing component 1202 generally controls overall operation of the apparatus 1200, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 1202 may include one or more processors 1220 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 1202 can include one or more modules that facilitate interaction between the processing component 1202 and other components. For example, the processing component 1202 can include a multimedia module to facilitate interaction between the multimedia component 1208 and the processing component 1202.

The memory 1204 is configured to store various types of data to support operation at the apparatus 1200. Examples of such data include instructions for any application or method operating on the device 1200, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 1204 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.

A power supply component 1206 provides power to the various components of the device 1200. Power components 1206 may include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for apparatus 1200.

The multimedia components 1208 include a screen that provides an output interface between the device 1200 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 1208 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus 1200 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.

Audio component 1210 is configured to output and/or input audio signals. For example, audio component 1210 includes a Microphone (MIC) configured to receive external audio signals when apparatus 1200 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 1204 or transmitted via the communication component 1216. In some embodiments, audio assembly 1210 further includes a speaker for outputting audio signals.

The I/O interface 1212 provides an interface between the processing component 1202 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.

The sensor assembly 1214 includes one or more sensors for providing various aspects of state assessment for the apparatus 1200. For example, the sensor assembly 1214 may detect an open/closed state of the apparatus 1200, the relative positioning of the components, such as a display and keypad of the apparatus 1200, the sensor assembly 1214 may also detect a change in the position of the apparatus 1200 or a component of the apparatus 1200, the presence or absence of user contact with the apparatus 1200, orientation or acceleration/deceleration of the apparatus 1200, and a change in the temperature of the apparatus 1200. The sensor assembly 1214 may include a proximity sensor configured to detect the presence of a nearby object in the absence of any physical contact. The sensor assembly 1214 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 1214 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.

The communications component 1216 is configured to facilitate communications between the apparatus 1200 and other devices in a wired or wireless manner. The apparatus 1200 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, 4G LTE, 5G NR, or a combination thereof. In an exemplary embodiment, the communication component 1216 receives the broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communications component 1216 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

In an exemplary embodiment, the apparatus 1200 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.

In an exemplary embodiment, a non-transitory computer readable storage medium comprising instructions, such as memory 1204 comprising instructions, executable by processor 1220 of apparatus 1200 to perform the above-described method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A data processing method is applied to a data source device; the method comprises the following steps:

acquiring data to be processed;

2. The method of claim 1, wherein the data source device is associated with a plurality of function sharing devices; the sending the to-be-processed data to the function sharing device includes:

3. The data processing method is applied to a function sharing device, wherein the function sharing device is provided with first data processing hardware; the method comprises the following steps:

processing the data to be processed through the first data processing hardware;

and returning a processing result to the data source equipment.

4. The method according to claim 3, wherein the data to be processed comprises an original image file acquired by a camera of the data source device; the processing the data to be processed by the first data processing hardware includes:

5. The method of claim 3, wherein the data to be processed comprises a file to be stored of the data source device;

6. The method of claim 3, wherein the processing the data to be processed by the first data processing hardware comprises:

acquiring equipment state parameters on a preset dimension;

7. The method of claim 6, wherein the predetermined dimension comprises at least one of:

8. A data processing apparatus, characterized by being applied to a data source device; the device comprises:

an acquisition unit that acquires data to be processed;

9. The apparatus of claim 8, wherein the data source device is associated with a plurality of function sharing devices; the transmission unit includes:

10. The data processing device is applied to a function sharing device, and the function sharing device is provided with first data processing hardware; the device comprises:

and the return unit returns the processing result to the data source equipment.

11. The apparatus according to claim 10, wherein the data to be processed includes an original image file acquired by a camera of the data source device; the processing unit includes:

12. The apparatus according to claim 10, wherein the data to be processed comprises a file to be stored of the data source device;

13. The apparatus of claim 10, wherein the processing unit comprises:

14. The apparatus of claim 13, wherein the predetermined dimension comprises at least one of:

15. An electronic device, comprising:

a processor;

a memory for storing processor-executable instructions;

wherein the processor implements the method of any one of claims 1-7 by executing the executable instructions.

16. A computer-readable storage medium having stored thereon computer instructions, which when executed by a processor, perform the steps of the method according to any one of claims 1-7.