WO2021232748A1

WO2021232748A1 - Data processing method and apparatus, and electronic device, storage medium and program

Info

Publication number: WO2021232748A1
Application number: PCT/CN2020/133684
Authority: WO
Inventors: 李嘉宾; 张寅艳; 苏醒强
Original assignee: 深圳市商汤科技有限公司
Priority date: 2020-05-21
Filing date: 2020-12-03
Publication date: 2021-11-25
Also published as: CN111741257B; CN111741257A; TWI759059B; TW202145030A

Abstract

Disclosed are a data processing method and apparatus, and an electronic device, a storage medium and a program. The method comprises: acquiring a first data set to be displayed; determining, from the first data set, a data set to be monitored, wherein the quantity of data included in the data set to be monitored is less than the quantity of data included in the first data set; monitoring the data set to be monitored, so as to obtain a monitoring result; and displaying the first data set according to the monitoring result. Therefore, in the embodiments of the present disclosure, by means of monitoring a data set to be monitored in a first data set to be displayed, the quantity of data needing to be monitored is reduced, and as such, the consumption of hardware resources for monitoring the first data set is reduced, and the speed of displaying the first data set by a data processing device is improved.

Description

Data processing method, device, electronic equipment, storage medium and program

Related public cross-references

This disclosure is based on the Chinese Patent Publication with the publication number 202010435903.8 and the publication date on May 21, 2020, and claims the priority of the Chinese patent publication. The entire content of the Chinese patent publication is incorporated herein by reference.

Technical field

The present disclosure relates to the field of computer technology, and in particular to a data processing method, device, electronic equipment, storage medium, and program.

Background technique

The browser usually renders the data that needs to be displayed and then displays it on the browser display page. At the same time, the data that needs to be displayed may be updated over time. In order for the browser to display the updated data instantly through the page, it is necessary to monitor the data that needs to be displayed to determine whether the data that needs to be displayed is updated. Real-time display of the page.

In the related art, due to the large amount of data that needs to be displayed, monitoring the data that needs to be displayed through the traditional method is likely to cause the slow running of the browser due to the high hardware overhead, and even the browser may freeze or crash.

Summary of the invention

The present disclosure provides a data processing method, device, electronic equipment, storage medium, and program.

The embodiment of the present disclosure provides a data processing method, and the method includes:

Obtain the first data set to be displayed;

Determining a data set to be monitored from the first data set to be displayed; the quantity of data contained in the data set to be monitored is less than the quantity of data contained in the first data set to be displayed;

Monitor the data set to be monitored to obtain a monitoring result;

According to the monitoring result, the first data set to be displayed is displayed. In this way, by monitoring the to-be-monitored data set in the first to-be-displayed data set, the amount of data that needs to be monitored is reduced, thereby reducing the hardware resources consumed for monitoring the first to-be-displayed data set, thereby improving the display of the first data processing device. The speed of the data set to be displayed.

With reference to any one of the embodiments of the present disclosure, the determining a data set to be monitored from the first data set to be displayed includes:

At least one dynamic data is selected from the first data set to be displayed to obtain the data set to be monitored. In this way, monitoring the dynamic data in the first data set to be displayed can reduce the amount of data that needs to be monitored and improve the accuracy of monitoring.

With reference to any one of the embodiments of the present disclosure, the monitoring the data set to be monitored to obtain the monitoring result includes:

The monitoring result is obtained by monitoring the selected state of the data set to be monitored. In this way, through the selected state of the data to be monitored, the hardware resources consumed for monitoring the data set to be monitored can be further reduced.

With reference to any one of the embodiments of the present disclosure, the displaying the first data set to be displayed according to the monitoring result includes:

If the monitoring result is not updated, display the data that needs to be displayed in the first data set to be displayed in the current state;

In the case where the monitoring result is the updated, the difference between the first data set and the second data set is calculated to obtain the second data set to be displayed; the first data set includes the current state The data set to be monitored; the second data set includes the data set to be monitored in the next state;

The second data set to be displayed is displayed. In this way, by monitoring the selected state of the data set to be monitored and determining the monitoring result, the amount of monitoring required for monitoring the data set to be monitored can be reduced, and thus the hardware resources consumed for monitoring the data set to be monitored can be reduced.

With reference to any embodiment of the present disclosure, the selected state includes full selection and empty selection;

The obtaining the monitoring result by monitoring the selected state of the data set to be monitored includes:

In the case where both the first selected state and the second selected state are the all selected, it is determined that the monitoring result is not updated; the first selected state is that the data set to be monitored is in the current state The selected state in the next state; the second selected state is the selected state of the data set to be monitored in the next state; or,

In the case that the first selected state and the second selected state are both the empty selection, it is determined that the monitoring result is not updated; the first selected state is that the data set to be monitored is in The selected state in the current state; the second selected state is the selected state of the data set to be monitored in the next state;

In a case where the first selected state and the second selected state are different, it is determined that the monitoring result is updated. In this way, the specific selected state between the first selected state and the second selected state and the relationship between the two selected states can be used to quickly determine whether the monitoring result is not updated or updated.

With reference to any one of the embodiments of the present disclosure, the calculating the difference between the first data set and the second data set to obtain the second data set to be displayed includes:

In the case where the third selected state and the fourth selected state are both the empty selection, the difference between the third data set and the fourth data set is calculated to obtain the second data set to be displayed; 3. The selected state is the selected state of the first node in the current state; the fourth selected state is the selected state of the first node in the next state; The first node is a child node of the second node; the second node is the node of the data set to be monitored; the third data set includes the data in the first data set except for the data in the first node The data; the fourth data set includes data in the second data set other than the data in the first node; or,

In the case that the third selected state and the fourth selected state are both the selected all, the difference between the third data set and the fourth data set is calculated to obtain the second The data set to be displayed; the third selected state is the selected state of the first node in the current state; the fourth selected state is the first node in the next state The selected state; the first node is a child node of the second node; the second node is the node of the data set to be monitored; the third data set includes the first data set except the Data other than the data in the first node; the fourth data set includes data other than the data in the first node in the second data set. In this way, based on the case that the third selected state and the fourth selected state are both empty or all selected, the amount of calculation required to calculate the difference between the first data set and the second data set can be reduced, thereby reducing the calculation The hardware resources consumed by the difference between the first data set and the second data set.

With reference to any one of the embodiments of the present disclosure, the calculating the difference between the third data set and the fourth data set to obtain the second data set to be displayed includes:

Acquiring the display status of the third node; the third node is a sibling node of the first node;

In the case that the display state is folded, the difference between the fifth data set and the sixth data set is calculated to obtain the second data set to be displayed; the fifth data set includes the third data set divided by Data other than the data in the third node; the sixth data set includes data other than the data in the third node in the fourth data set. In this way, when the third node is a sibling node of the first node, and the display state of the third node is collapsed, only the difference between the fifth data set and the sixth data set needs to be calculated, which can reduce the calculation of the third data The amount of calculation required for the difference between the fourth data set and the fourth data set to obtain the second data set to be displayed.

With reference to any embodiment of the present disclosure, the first data set to be displayed includes: a first video stream;

The obtaining the first data set to be displayed includes:

Acquiring at least one second video stream;

In the case of receiving an instruction to select at least one video stream from the at least one second video stream, select the first video stream from the at least one second video stream. In this way, the first video stream is selected from at least one second video stream to reduce the amount of data processing.

For the description of the effects of the following devices, electronic equipment, etc., please refer to the description of the above method, which will not be repeated here.

An embodiment of the present disclosure provides a data processing device, which includes:

An acquiring unit for acquiring the first data set to be displayed;

A determining unit, configured to determine a data set to be monitored from the first data set to be displayed; the quantity of data contained in the data set to be monitored is less than the quantity of data contained in the first data set to be displayed;

A monitoring unit for monitoring the data set to be monitored to obtain a monitoring result;

The display unit is configured to display the first data set to be displayed according to the monitoring result.

With reference to any embodiment of the present disclosure, the determining unit is configured to:

At least one dynamic data is selected from the first data set to be displayed to obtain the data set to be monitored.

With reference to any one of the embodiments of the present disclosure, the monitoring unit is configured to:

The monitoring result is obtained by monitoring the selected state of the data set to be monitored.

With reference to any one of the embodiments of the present disclosure, the display unit is configured to:

The second data set to be displayed is displayed.

The monitoring unit is used for:

In a case where the first selected state and the second selected state are different, it is determined that the monitoring result is updated.

In the case that the third selected state and the fourth selected state are both the selected all, the difference between the third data set and the fourth data set is calculated to obtain the second The data set to be displayed; the third selected state is the selected state of the first node in the current state; the fourth selected state is the first node in the next state The selected state; the first node is a child node of the second node; the second node is the node of the data set to be monitored; the third data set includes the first data set except the Data other than the data in the first node; the fourth data set includes data other than the data in the first node in the second data set.

In the case that the display state is folded, the difference between the fifth data set and the sixth data set is calculated to obtain the second data set to be displayed; the fifth data set includes the third data set divided by Data other than the data in the third node; the sixth data set includes data other than the data in the third node in the fourth data set.

The obtaining unit is used to:

Acquiring at least one second video stream;

In the case of receiving an instruction to select at least one video stream from the at least one second video stream, select the first video stream from the at least one second video stream.

The embodiments of the present disclosure provide a processor, which is configured to execute a method as described in the first aspect and any one of its possible implementation manners.

The embodiment of the present disclosure provides an electronic device, including: a processor, an input device, an output device, and a memory. The memory is used to store computer program code. The computer program code includes computer instructions. In the case of the computer instruction, the electronic device executes the method as in the above-mentioned first aspect and any one of its possible implementation modes.

The embodiments of the present disclosure provide a computer-readable storage medium in which a computer program is stored, and the computer program includes program instructions that, when the program instructions are executed by a processor, cause all The processor executes the method as described in the first aspect and any one of its possible implementation manners.

The embodiments of the present disclosure provide a computer program product, the computer program product includes computer readable code, in the case that the computer readable code runs in a computer, the computer is caused to execute any of the above data processing methods .

The data processing method, device, electronic equipment, storage medium and program proposed in the embodiments of the present disclosure; firstly, obtain the first data set to be displayed; secondly, determine the data set to be monitored from the first data set to be displayed; The number of data included in the monitoring data set is less than the number of data included in the first data set to be displayed; then, the data set to be monitored is monitored to obtain the monitoring result; finally, the first data set is displayed based on the monitoring result. A data set to be displayed. In this way, in the embodiment of the present disclosure, by monitoring the data set to be monitored in the first data set to be displayed, the amount of data that needs to be monitored is reduced, thereby reducing the hardware resources consumed for monitoring the first data set to be displayed, thereby Increase the speed at which the data processing device displays the first data set to be displayed.

It should be understood that the above general description and the following detailed description are only exemplary and explanatory, rather than limiting the present disclosure.

Description of the drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the background art, the following will describe the drawings that need to be used in the embodiments of the present disclosure or the background art.

The drawings herein are incorporated into the specification and constitute a part of the specification. These drawings illustrate embodiments that conform to the present disclosure, and are used together with the specification to explain the technical solutions of the present disclosure.

FIG. 1 is a schematic flowchart of a data processing method provided by an embodiment of the disclosure;

2 is a schematic diagram of a network architecture for data processing provided by an embodiment of the disclosure;

FIG. 3 is a schematic structural diagram of a data processing device 3 provided by an embodiment of the disclosure;

FIG. 4 is a schematic diagram of the hardware structure of an electronic device 4 provided by an embodiment of the disclosure.

Detailed ways

In order to enable those skilled in the art to better understand the solutions of the present disclosure, the technical solutions in the embodiments of the present disclosure will be described clearly and completely in conjunction with the accompanying drawings in the embodiments of the present disclosure. Obviously, the described embodiments are only These are a part of the embodiments of the present disclosure, but not all of the embodiments. Based on the embodiments in the present disclosure, all other embodiments obtained by those of ordinary skill in the art without creative work shall fall within the protection scope of the present disclosure.

The terms “first”, “second”, etc. in the specification and claims of the present disclosure and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific sequence. In addition, the terms "including" and "having" and any variations of them are intended to cover non-exclusive inclusions. For example, a process, method, system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes unlisted steps or units, or optionally also includes Other steps or units inherent to these processes, methods, products or equipment.

Reference to "embodiments" herein means that a specific feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present disclosure. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art clearly and implicitly understand that the embodiments described herein can be combined with other embodiments.

In the process of the browser displaying the page, the browser displays the data to be displayed on the page by rendering the data to be displayed. Since the data that needs to be displayed may be updated over time, in order for the browser to display the updated data instantly through the page, it is necessary to monitor the data that needs to be displayed to determine whether the data that needs to be displayed is updated, so as to achieve Real-time display of the page.

For example (Example 1), Xiao Ming needs to fill in the delivery address during online shopping through the browser. When filling in the delivery address, the browser displays the address range that can be selected on the page for filling in the delivery address. The order of selection is: country→province→city→district→street. Xiao Ming selected "China" in the country's options. At this time, the browser displays all the provinces in China in the address range that can be selected for Xiao Ming to choose. Xiao Ming selected Hunan Province from all provinces in China. At this time, the data to be displayed has been updated, and the display content in the selectable address range has been updated from all provinces in China to all cities in Hunan Province. By monitoring the data required to be displayed on the page for filling in the delivery address, and confirming that the data in the range of the selectable address has been updated, the display content of the page for filling in the delivery address can be updated. Specifically, the address will be selected. The displayed content within the range has been updated from all provinces in China to all cities in Hunan Province.

In the traditional method, real-time display of the page is realized by monitoring all the data that the page needs to display. Example 1 continues with the example (Example 2). In addition to the data in the address range, the data that needs to be displayed on the page also includes the information of the goods purchased by Xiao Ming and the name of Xiao Ming's shopping account. When Xiao Ming fills in the delivery address, he not only needs to monitor the data in the optional address range, but also needs to monitor the information of the goods purchased by Xiao Ming and the name of Xiao Ming's shopping account. Due to the large amount of data to be displayed, the hardware resources required to monitor the data to be displayed are large, and the hardware resources include the overhead of memory. The large consumption of hardware resources can easily cause the browser to run slowly, and even cause the browser to freeze or crash.

Based on this, the embodiments of the present disclosure provide a data processing method to reduce the hardware resources consumed for monitoring the data that needs to be displayed.

The execution subject of the embodiments of the present disclosure is a data processing device. In a feasible implementation manner, the data processing device may be one of the following: a computer and a server. The embodiments of the present disclosure will be described below in conjunction with the drawings in the embodiments of the present disclosure.

Please refer to FIG. 1. FIG. 1 is a schematic flowchart of a data processing method provided by an embodiment of the present disclosure.

101. Obtain a first data set to be displayed.

In the embodiment of the present disclosure, the first data set to be displayed is data that can be displayed through a page. For example, in Example 2, the first data set to be displayed includes data within a selectable address range, information about products purchased by Xiao Ming, and Xiao Ming's shopping account name. For another example (Example 3), Xiaohong browses a webpage through a browser and watches videos through the webpage. At this time, the first data set to be displayed includes the video, information about the video (including the name of the video), and information about the account used to watch the video (including the account avatar and account name).

In an implementation manner of acquiring the first data set to be displayed, the data processing device receives the first data set to be displayed input by the user through the input component. The above-mentioned input components include: a keyboard, a mouse, a touch screen, a touch pad, and an audio input device.

In another implementation manner of acquiring the first data set to be displayed, the data processing apparatus receives the first data set to be displayed sent by the first terminal. In a feasible real-time mode, the first terminal can be any of the following: a mobile phone, a computer, a tablet computer, a server, and a wearable device.

For example, there is a communication connection between the data processing device and the server, and the data processing device sends a data request to the server through the communication connection. Upon receiving the data request, the server sends a data set that can be displayed on the page to the data processing device. The data processing device will, in the case of receiving the data set that can be displayed through the page sent by the server, use the data set as the first to-be-displayed data set.

102. Determine a data set to be monitored from the first data set to be displayed.

The quantity of data contained in the data set to be monitored is less than the quantity of data contained in the first data set to be displayed.

In order to reduce the hardware resources consumed by monitoring the first data set to be displayed, the amount of data that needs to be monitored needs to be reduced. Different from the traditional method for monitoring each data in the first to-be-displayed data set, the embodiment of the present disclosure only monitors part of the data in the first to-be-displayed data set, thereby reducing the amount of data that needs to be monitored.

In a possible implementation manner, the data set to be monitored is determined from the first data set to be displayed, wherein the quantity of data contained in the data set to be monitored is less than the quantity of data contained in the first data set to be displayed. For example, the first data set to be displayed includes data a, data b, and data c, and the data set to be monitored determined from the first data set to be displayed includes data a and data b.

103. Monitor the data set to be monitored, and obtain the monitoring result.

The data processing device can determine whether the data set to be monitored is updated by monitoring the data set to be monitored, thereby realizing the real-time display of the page.

In the embodiment of the present disclosure, the monitoring result includes updated and unupdated. The monitoring result is updated, which indicates that the data set to be monitored in the current state is different from the data set to be monitored in the next state, that is, the data to be displayed in the data set to be monitored has been updated. The monitoring result is not updated, which means that the data set to be monitored in the current state is the same as the data set to be monitored in the next state, that is, the data that needs to be displayed in the data set to be monitored is not updated.

The aforementioned current state refers to the current display state of the page, and the aforementioned next state refers to the next display state of the current display state. For example, in the current display state of the page, the content that the data processing device can display through the page includes video stream 1 and video stream 2, where video stream 1 is a video stream collected by a camera at A, and video stream 2 is passed The video stream collected by the camera at B. Then, in the current state, the first data set to be displayed includes video stream 1 and video stream 2, and the data set to be monitored includes part of the data in the first data set to be displayed. In the process of arresting the criminal suspect, the police locked the suspect in B place based on the information provided by the witnesses, and input the instruction to view the video stream collected by the camera of B place into the data processing device (such as selecting by mouse View the video stream captured by the camera at B). After receiving the instruction, the data processing device determines that in the next display state of the page, the content that can be displayed on the page includes video stream 2. Then in the next state, the first data set to be displayed includes video stream 2. The data set to be monitored includes part of the data in the video stream 2.

Example 2 continues with the example (Example 4). The first data set to be displayed includes data in the range of selectable addresses, information about the products Xiao Ming purchased, and the name of Xiao Ming’s shopping account. It is assumed that the data set to be monitored includes the range of selectable addresses. The data. The data set to be monitored in the current state includes: all provinces in China, and the data set to be monitored in the next state includes: all cities in Hunan Province. Since the data set to be monitored in the current state is different from the data set to be monitored in the next state, the monitoring result of the data set to be monitored is updated.

104. According to the monitoring result, display the first data set to be displayed.

The monitoring result is not updated, indicating that the content to be displayed in the data set to be monitored has not changed. Therefore, the display content of the page in the next state is the same as the display content of the page in the current state. In a feasible implementation manner, when the monitoring result is not updated, the data processing device does not need to render any data, that is, displays the data that needs to be displayed in the first data set to be displayed in the current state.

The monitoring result is updated, indicating that the content to be displayed in the data set to be monitored has changed, that is, the display content of the page in the current state cannot be used as the display content of the page in the next state. Therefore, the display content of the page needs to be updated. Taking Example 4 as an example, the content displayed on the page in the current state includes all provinces in China, information about the goods purchased by Xiao Ming, and the name of Xiao Ming's shopping account. The content displayed on the page in the next state includes all cities in Hunan Province, information about the goods Xiao Ming purchased, and Xiao Ming's shopping account name. The data processing device does not render all provinces in China, but renders all cities in Hunan Province to display the page in the next state.

In the embodiments of the present disclosure, by monitoring the data set to be monitored in the first data set to be displayed, the amount of data that needs to be monitored is reduced, thereby reducing the hardware resources consumed for monitoring the first data set to be displayed, thereby improving the display of the data processing device. The speed of the first data set to be displayed.

FIG. 2 shows a schematic diagram of a network architecture for data processing provided by an embodiment of the present disclosure; as shown in FIG. 2, the network architecture includes: an acquisition terminal 201, a network 202, and a data processing terminal 203. In order to support an exemplary application, the acquisition terminal 201 and the data processing terminal 203 establish a communication connection through the network 202, the acquisition terminal 201 reports the acquired first data set to be displayed to the data processing terminal 203 through the network 202, and the data processing terminal 203 responds The first data set to be displayed is received, the data set to be monitored is determined from the first data set to be displayed; the amount of data contained in the data set to be monitored is less than the number of data contained in the first data set to be displayed; the data set to be monitored is monitored , Get the monitoring result. Finally, the data processing terminal 203 uploads the monitoring result to the network 202 and sends it to the acquiring terminal 201 via the network 202.

Through the processing of step 102, the effect of reducing the amount of data that needs to be monitored can be achieved, but because part of the data in the first to-be-displayed data set has not been monitored, this part of the unmonitored data cannot be passed if it has been updated. The page shows the update of this part of the unobserved data. Example 4 continues with the example (Example 5). Suppose, in the current state, the goods Xiao Ming purchased are A and B. Xiao Ming suddenly remembered that he already had B at home, and removed B from the purchased goods. At this time, he is under In one state, the commodity purchased by Xiao Ming is A, that is, the information of the commodity purchased by Xiao Ming has been updated. In the case that the information of the goods purchased by Xiao Ming does not belong to the data set to be monitored, the data processing device cannot determine that the information of the goods purchased by Xiao Ming has been updated by monitoring the data set to be monitored, and thus cannot be displayed in the next state page Update of the information of the goods purchased by Xiao Ming.

For ease of presentation, the ratio of the number of updated data monitored by the data processing device to the number of updated data in the first data set to be displayed is referred to as monitoring accuracy below. For example, the first data set to be displayed in the current state includes data a, data b, data c, and data d, and the data set to be monitored includes data a and data b. The first data set to be displayed in the next state includes data e, data b, data c, and data f, where data e is data obtained after data a is updated, and data f is data obtained after data d is updated. In the process of updating the first data set to be displayed from the current state to the next state, the updated data monitored by the data processing device is data a, and the updated data in the first data set to be displayed includes data a and data d, so , The monitoring accuracy is: 1/2=50%.

As an optional implementation manner, step 102 specifically includes the following steps:

In the embodiments of the present disclosure, dynamic data refers to data that can change with time during the page display process. For example, in Example 3, any two playback screens in the video are different, that is, the playback content of the video changes over time. However, the video data is dynamic data. In Example 5, the information of the goods purchased by Xiaoming and the address range that can be selected are dynamic data. In addition to dynamic data, the first data set to be displayed also includes static data. Dynamic data refers to data that does not change with time during the page display process. For example, in Example 3, the name of the video and the account information used to watch the video All are static data. In Example 5, Xiao Ming's shopping account is named static data.

Obviously, in the process of page display, the probability of dynamic data update is relatively large, and the probability of static data update is relatively small. Therefore, monitoring the dynamic data in the first data set to be displayed can improve the accuracy of monitoring while reducing the amount of data that needs to be monitored.

Based on this, this step selects at least one dynamic data from the first data set to be displayed to obtain the data set to be monitored. For example, the first data set to be displayed includes data a, data b, and data c, where data a and data b are dynamic data, and data c is static data. The data processing device can select at least one data from data a and data b to obtain a data set to be monitored. When the data processing device selects data a, the obtained data set to be monitored includes data a. When the data processing device selects data b, the obtained data set to be monitored includes data b. When the data processing device selects data a and data b, the obtained data set to be monitored includes data a and data b.

After the data set to be monitored is obtained, by monitoring each data in the data set to be monitored, it can be determined whether the data set to be monitored in the current state is the same as the data set to be monitored in the next state, and then whether the monitoring result is not updated or updated.

The embodiments of the present disclosure provide a method to further reduce the hardware resources consumed for monitoring the data set to be monitored. As an optional implementation manner, step 103 specifically includes the following steps:

1. Obtain the monitoring result by monitoring the selected state of the data set to be monitored.

In the embodiment of the present disclosure, the selected state of the data set to be monitored represents the selected state of the data in the data set to be monitored. In a feasible implementation, the selected state includes all selected and empty selected.

In the case where the selected state of the data set to be monitored is selected, all data in the data set to be monitored are selected. When the selected state of the data set to be monitored is half-selected, part of the data representing the data set to be monitored is selected.

For example, suppose the data set to be monitored includes data a and data b. When both data a and data b are selected, the selected state of the data set to be monitored is all selected.

When the selected state of the data set to be monitored is empty selection, none of the data in the data set to be monitored is selected. For example, suppose the data set to be monitored includes data a and data b. When neither data a nor data b is selected, the selected state of the data set to be monitored is empty selection.

In a feasible real-time mode, the selected state also includes half-selected. When data a is selected or data b is selected, the selected state of the data set to be monitored is half-selected.

Obviously, the unselected data does not need to be displayed on the page, and the selected data may need to be displayed on the page. Therefore, it can be determined whether the data in the data set to be monitored is updated by determining whether the selected data in the data set to be monitored is updated.

As an optional implementation manner, by monitoring the selected state of the data set to be monitored, it can be determined whether the data set to be monitored in the current state is the same as the data set to be monitored in the next state. For convenience of presentation, the selected state of the data set to be monitored in the current state is referred to as the first selected state, and the selected state of the data set to be monitored in the next state is referred to as the second selected state.

In the case that the first selected state and the second selected state are the same, the selected data in the data set to be monitored in the current state is the same as the selected data in the data set to be monitored in the next state, and the monitoring result can be determined Is not updated.

For example, when both the first selected state and the second selected state are all selected, the selected data in the data set to be monitored in the current state is the same as the selected data in the data set to be monitored in the next state. That is, the data set to be monitored in the current state is the same as the data set to be monitored in the next state.

For another example, when the first selected state and the second selected state are both empty selections, the selected data in the data set to be monitored in the current state is the same as the selected data in the data set to be monitored in the next state , That is, the data set to be monitored in the current state is the same as the data set to be monitored in the next state.

In the case that the first selected state and the second selected state are different, the selected data in the data set to be monitored in the current state is different from the selected data in the data set to be monitored in the next state, and the monitoring result can be determined Is updated.

For example, suppose the first selected state is all selected and the second selected state is empty selection. At this time, the selected data in the data set to be monitored in the current state and the selected data in the data set to be monitored in the next state are selected. Different, that is, the data set to be monitored in the current state is different from the data set to be monitored in the next state.

For another example, suppose that the first selected state is empty selection, and the second selected state is selected all. At this time, the selected data in the data set to be monitored in the current state and the selected data in the data set to be monitored in the next state are selected The data is different, that is, the data set to be monitored in the current state is different from the data set to be monitored in the next state.

Since the first selected state and the second selected state are both half-selected, the selected data in the data set to be monitored in the current state may be the same as the selected data in the data set to be monitored in the next state. It may also be different. In order to improve the monitoring accuracy, as an optional implementation manner, in the case where the first selected state and the second selected state are both half-selected, it is determined that the monitoring result is updated.

After the monitoring result of the data set to be monitored is determined, step 104 specifically includes the following two steps:

2. When the monitoring result is not updated, display the data that needs to be displayed in the first data set to be displayed in the current state.

The monitoring result is not updated, indicating that the data that needs to be displayed in the first data set to be displayed is not updated. Therefore, in the next state, the content displayed on the page in the current state is still displayed, that is, when the monitoring result is not updated In the case of, display the data that needs to be displayed in the first data set to be displayed in the current state.

3. When the monitoring result is updated, calculate the difference between the first data set and the second data set to obtain the second data set to be displayed.

In the embodiment of the present disclosure, the first data set includes the data set to be monitored in the current state, and the second data set includes the data set to be monitored in the next state. For example (Example 6), the data set to be monitored in the current state includes data a and data b, and the data set to be monitored in the next state includes data c and data b. Among them, data c is the updated data of data a. At this time, the first data set includes data a and data b, and the second data set includes data b and data c.

The monitoring result is updated, indicating that the data in the data set to be monitored has been updated. Therefore, it is necessary to determine the content of the data update in the data set to be monitored to determine the content displayed on the page in the next state.

As an optional implementation manner, by calculating the difference between the first data set and the second data set, the content of the data update in the data set to be monitored can be determined, and the second data set to be displayed can be obtained.

Following the example of Example 6 (Example 7), by calculating the difference between the first data set and the second data set, it can be determined that the content of the data update in the data set to be monitored is: data a is updated to data c, and then it can be determined that the page is under The content that needs to be displayed in one state is data b and data c. Since the display content of the page in the current state includes data b, the second to-be-displayed data set includes data b and data c, wherein the display position of data c on the page is the same as the display position of data a on the page.

For another example (Example 8), the first data set includes data a, and the second data set includes data a and data b. By calculating the difference between the first data set and the second data set, it can be determined that the content of the data update in the data set to be monitored is: add data b, and then it can be determined that the content that the page needs to display in the next state is data a and data b, that is, the second data set to be displayed includes data a and data b.

4. Display the second data set to be displayed.

By rendering the second data set to be displayed, the second data set to be displayed is displayed on the page to update the display content of the page.

Example 7 continues the example, assuming that in the current state of the page, the display position of data a is p ₁ , and the display position of data b is p ₂ . The process of displaying the second data set to be displayed may include: stopping the rendering of data a, and rendering data c to obtain the page in the next state, so that in the page in the next state, the content displayed at _{p 1 is data} The content displayed at c, p _{2 is data b.}

In the embodiments of the present disclosure, by monitoring the selected state of the data set to be monitored and determining the monitoring result, the amount of monitoring required to monitor the data set to be monitored can be reduced, and the hardware resources consumed for monitoring the data set to be monitored can be reduced.

Since the monitoring result is updated, there may be unupdated data in the first data set to be monitored. If in the process of calculating the difference between the first data set and the second data set, calculating the change of the unupdated data will lead to a waste of hardware resources.

For example (Example 9), suppose the first data set includes data a, data b, and data c, where data a, data b, and data c are all selected states. At this time, the first selected state is all selected. The second data set includes data a, data d, and data c, where data d is data obtained by updating data b, and both data a and data d are in a selected state. At this time, the second selected state is half-selected. Since the selected state of data a in the current state is the same as the selected state of data a in the next state (that is, data a has not been updated), if in the process of calculating the difference between the first data set and the second data set, Calculating the difference between data a in the current state and data a in the next state will waste hardware resources.

Based on this, the embodiments of the present disclosure provide a method to reduce the hardware resources consumed for calculating the difference between the first data set and the second data set. As an optional implementation manner, step 3 specifically includes the following steps:

5. In the case that the third selected state and the fourth selected state are both empty selections, calculate the difference between the third data set and the fourth data set to obtain the second data set to be displayed.

In a feasible implementation manner, the first data set to be displayed is stored in the data processing device in a tree data structure. The node of the data set to be monitored is called the second node, and the child nodes of the second node include the first node. The third selected state is the selected state of the first node in the current state, and the fourth selected state is the selected state of the first node in the next state.

The data in the first data set except the data in the first node is called the third data set, and the data in the second data set except the data in the first node is called the fourth data set. For example, the data in the second node in the current state includes data a, data b, data c, and data d, and the data in the first node in the current state includes data a and data b, that is, the first data set includes data a , Data b, data c, data d. The data in the first data set except the data in the first node are data c and data d, that is, the third data set includes data c and data d. The data in the second node in the next state includes data e, data b, data c, and data f. Among them, data e is the updated data of data a, and data f is the updated data of data d. In the next state The data in the first node of includes data e and data b, that is, the second data set includes data e, data b, data c, and data f. The data in the second data set except the data in the first node are data c and data f, that is, the fourth data set includes data c and data f.

The third selected state and the fourth selected state are both empty selections, which means that the data in the first node in the current state and the data in the first node in the next state are not selected. Since the unselected data does not need to be displayed, there is no need to calculate the change of the data in the first node. Therefore, when the third selected state and the fourth selected state are both empty selections, the second data set to be displayed can be obtained by calculating the difference between the third data set and the fourth data set.

6. In the case that the third selected state and the fourth selected state are all selected, calculate the difference between the third data set and the fourth data set to obtain the second data set to be displayed.

Both the third selected state and the fourth selected state are all selected, which means that the data in the first node in the current state and the data in the first node in the next state are all selected. Since in the current state, all the data in the first node has been displayed on the page, and the data that needs to be displayed in the first node in the next state is still all the data in the first node, there is no need to calculate the data in the first node. Changes in data. Therefore, in the case where both the third selected state and the fourth selected state are all selected, the second data set to be displayed can be obtained by calculating the difference between the third data set and the fourth data set.

Based on steps 5 and 6, the amount of calculation required to calculate the difference between the first data set and the second data set can be reduced, thereby reducing the hardware resources consumed for calculating the difference between the first data set and the second data set .

Following the example of Example 9 (Example 10), when the first node includes data a, the third selected state and the fourth selected state are all selected. The third data set includes data b and data c, and the fourth data set includes data c and data d. Since the third selected state and the fourth selected state are all selected, in the process of calculating the difference between the first data set and the second data set, you only need to calculate the difference between the third data set and the fourth data set Without consuming hardware resources to calculate the difference between data a in the current state and data a in the next state.

In Example 10, when it is determined that the data in the second node has been updated (that is, the monitoring result is updated), the data processing device determines whether there is an unupdated node among the child nodes of the second node in a downward recursive manner. The unupdated node is a node whose selected state in the current state is the same as the selected state in the next state, and the selected state in the current state is not a half-selected node. In the case that there are unupdated nodes in the child nodes of the second node, in the process of calculating the difference between the data in the second node in the current state and the data in the second node in the next state, it is not necessary to calculate The difference between the data in the unupdated node in the current state and the data in the unupdated node in the next state.

Based on the idea of step 1 and the idea of step 2, not only can the hardware resources consumed in calculating the difference between the first data set and the second data set be reduced in the downward recursion process, but also in the upward recursion process The hardware resources consumed to calculate the difference between the first data set and the second data set.

For example, suppose that the child nodes of the second node include the first node and the third node, and the child nodes of the first node include the fourth node and the fifth node. The selected state of the fourth node in the current state is called the fifth selected state, the selected state of the fourth node in the next state is called the sixth selected state, and the selected state of the fifth node in the current state The selected state is called the seventh selected state, the selected state of the fifth node in the next state is called the eighth selected state, and the selected state of the third node in the current state is called the ninth selected state. The selected state of the third node in the next state is called the tenth selected state.

The data processing device monitors that the selected state of the fourth node is updated from half-selected to empty-selected (that is, the fifth-selected state is half-selected, and the sixth-selected state is empty-selected), the fifth node and the third node are both If the node is not updated, since the fifth node is an unupdated node, in the process of calculating the difference between the data in the first node in the current state and the data in the first node in the next state, only Calculate the difference between the data in the fourth node in the current state and the data in the fourth node in the next state.

In addition, as the sibling node of the first node, the third node is also an unupdated node, the process of calculating the difference between the data in the second node in the current state and the data in the second node in the next state , Just calculate the difference between the data in the first node in the current state and the data in the first node in the next state.

In other words, when the third node and the fifth node are both unupdated nodes, and the fourth node is an updated node (that is, the fifth selected state is different from the sixth selected state), the calculation of the current state In the process of the difference between the data in the second node and the data in the second node in the next state, the data processing device only needs to calculate the difference between the data in the fourth node in the current state and the fourth node in the next state. The difference between the data in the node. After calculating the difference between the data in the fourth node in the current state and the data in the fourth node in the next state, the data processing device does not need to perform upward recursive processing, thereby reducing the amount of data processing.

Due to the limited display area of the page, when the amount of data that needs to be displayed is large, part of the data that needs to be displayed can be hidden (the hidden data that needs to be displayed is hereinafter referred to as hidden data). In the case of receiving the command to display the hidden data, the hidden data is displayed. If the command to display the hidden data is not received, the hidden data is not displayed.

In order to reduce the amount of calculation required to calculate the difference between the third data set and the fourth data set, it is not necessary to calculate the hidden data in the current state and the hidden data in the next state without receiving an instruction to display hidden data The difference between the data.

As an optional implementation manner, calculating the difference between the third data set and the fourth data set to obtain the second data set to be displayed specifically includes the following steps:

7. Get the display status of the third node.

In the embodiment of the present disclosure, the third node is a sibling node of the first node, that is, the data in the third node belongs to the data set to be monitored, and there is no intersection between the data in the first node and the data in the third node.

The above-mentioned display state includes display and folding. When the display status of the node is displayed, the data that needs to be displayed in the node is displayed on the page. When the display state of the node is collapsed, the data that needs to be displayed in the node is not displayed. At this time, the data that needs to be displayed in the node is hidden data.

8. When the display state is folded, calculate the difference between the fifth data set and the sixth data set to obtain the second data set to be displayed.

In the embodiment of the present disclosure, the fifth data set includes data in the third data set except data in the third node, and the sixth data set includes data in the fourth data set except data in the third node. For example, the third data set includes data a, data b, data c, and data d, and the data in the third node in the current state includes data a and data b. The data in the fifth data set except the data in the third node are data c and data d, that is, the fifth data set includes data c and data d. The fourth data set includes data e, data b, data c, and data f, where data e is data after data a is updated, and data f is data after data d is updated. The data in the third node in the next state includes data e and data b, and the data in the fourth data set except the data in the third node are data c and data f, that is, the sixth data set includes data c and data f.

The display state of the third node is folded, which means that the data in the third node does not need to be displayed. Therefore, when the display state of the third node is folded, by calculating the difference between the fifth data set and the sixth data set, The difference between the third data set and the fourth data set can be calculated to obtain the second data set to be displayed. In this way, the amount of calculation required to calculate the difference between the third data set and the fourth data set can be reduced.

In a feasible implementation manner, the data processing device calculates the data in the third node in the current state and the data in the third node in the next state in the case of receiving an instruction to display the third node in the display state The difference between the two to get the second data set to be displayed.

Following the example in Example 1, when Xiao Ming chooses Hunan Province from all provinces in China, all cities in Hunan Province are selected, and all districts in each city are also selected. Suppose that Changsha City includes Furong District, Yuelu District, Tianxin District, Kaifu District, Yuhua District, and Wangcheng District. If Xiao Ming selects Hunan Province from all provinces in China, in the next state, the page only needs to display all of Hunan Province. City, it is not necessary to display all districts of Changsha City. At this time, the data in all districts of Changsha City are hidden data. When Xiao Ming selects Changsha from all cities in Hunan Province and inputs an instruction to display hidden data to the data processing device, the data processing device calculates the difference between the data of Changsha City in the current state and the data of Changsha City in the next state , Get the second data set to be displayed.

Based on the technical solutions provided by the present disclosure, the embodiments of the present disclosure also provide some possible application scenarios.

Scenario 1: In the security field, how to effectively determine the whereabouts of people or vehicles through video streams is of great significance. With the development of computer vision technology and the rapid growth of the number of cameras in public places, the use of computer vision technology to process the video captured by the camera can determine the image containing the person and/or the image containing the vehicle, and then the image containing the person can be determined according to the The image and/or the image containing the vehicle determines the trajectory of the person and/or the trajectory of the vehicle.

In this scenario, the first data set to be displayed includes the first video stream. For example (Example 11), the at least one video stream acquired by a data processing device (such as a server) includes a video stream collected by a camera in Shenzhen and a video stream collected by a camera in Guangzhou. The police locked the suspect in Shenzhen based on the suspect's information, and input instructions to the data processing device to view the video stream captured by the camera in Shenzhen. Upon receiving the instruction, the data processing device selects the video stream collected by the camera in Shenzhen as the first video stream.

As an optional implementation manner, step 101 includes the following steps:

9. Obtain at least one second video stream.

In an implementation manner of acquiring at least one second video stream, the data processing apparatus receives at least one second video stream sent by the second terminal. In a feasible implementation manner, the second terminal may be any one of the following: a mobile phone, a computer, a tablet computer, a server, and a wearable device.

In another implementation manner for acquiring at least one second video stream, there is a communication connection between the data processing device and the at least one surveillance camera. The data processing device obtains at least one second video stream collected by at least one surveillance camera through the communication connection. Following the example of Example 11 (Example 12), at least one second video stream includes a video stream collected by a camera in Shenzhen and a video stream collected by a camera in Guangzhou.

10. In the case of receiving an instruction to select at least one video stream from at least one second video stream, select the first video stream from at least one second video stream.

In the embodiment of the present disclosure, the instruction to select at least one video stream from the at least one second video stream may be that the user can input the instruction to select at least one video stream from the at least one second video stream to the input component through the input component Data processing device. The above-mentioned input components include: a keyboard, a mouse, a touch screen, a touch pad, and an audio input device.

When receiving an instruction to select at least one video stream from the at least one second video stream, the data processing device selects the first video stream from the at least one second video stream. Then Example 12 continues the example. The instruction to select at least one video stream from the above at least one second video stream is to select the camera in Shenzhen from the video stream collected by the camera in Shenzhen and the video stream collected by the camera in Guangzhou. Video stream. Upon receiving the instruction, the data processing device selects the video stream collected by the camera in Shenzhen from the video stream collected by the camera in Shenzhen and the video stream collected by the camera in Guangzhou as the first video stream.

For another example, the at least one second video stream includes video stream 1, video stream 2, and video stream 3. The instruction to select at least one video stream from the above at least one second video stream is to select video stream 1 and video stream 2 from video stream 1, video stream 2, and video stream 3. Upon receiving the instruction, the data processing device selects video stream 1 and video stream 2 from video stream 1, video stream 2, and video stream 3. At this time, the first video stream may be video stream 1, and the first video stream may also be video stream 2.

Since the data volume of the first video stream is relatively large, and the data in the first video stream is constantly updated, displaying and monitoring all the data in the first video stream will bring a large amount of data processing to the data processing device. Therefore, the first video stream can be displayed based on the technical solution provided by the present disclosure, reducing the amount of data processing.

In a feasible implementation manner, in the case where the data processing device displays the first video stream, the user can determine the image containing the person and/or the image containing the vehicle from the first video stream. For example, the attribute of the person is input to the data processing device, so that the data processing device uses the attribute to retrieve an image containing the person whose attribute matches the attribute from the first video stream.

After determining the image containing the person and/or the image containing the vehicle from the first video stream, the person’s image can be determined according to the collection time and location of the image (here, the image containing the person and/or the image containing the vehicle). The trajectory and/or the trajectory of the vehicle.

Scenario 2: The data processing device displays the trajectory of the character and/or the trajectory of the vehicle based on the technical solution provided by the present disclosure, which can reduce the amount of data processing and increase the data processing speed.

For example (Example 13), a robbery occurred in A. According to the information provided by witnesses at the scene, the suspect was wearing a black shirt, black pants, and white shoes, and the suspect was wearing a mask with short black hair. After the police learns the suspect’s attributes (i.e. black shirt, black pants, white shoes, wearing a mask, black short hair), they can use the suspect’s attributes to retrieve the image database of area A (the image in the image library passes through area A). The camera is collected by), and an image with a character attribute that matches the attribute of the suspect is obtained as the target image. In the case that the police determine that the person in the target image is a criminal suspect, the trajectory data of the criminal suspect can be determined according to the collection time of the target image and the collection location of the target image.

Assume that the target image includes: image a, image b, and image c. The acquisition time of image a is 16:45 on May 19, 2020, the acquisition time of image b is 16:55 on May 19, 2020, and the acquisition time of image c is 18:45 on May 19, 2020. The collection location of image a is 114° east longitude and 22°3' north latitude, the collection location of image b is 114°10' east longitude and 22°5' north latitude, and the collection location of image c is 114°10' east longitude and 22°6 north latitude. '. According to the collection time and location of the target image, the whereabouts of the suspect can be determined: at 16:45 on May 19, 2020, it appeared at 114° east longitude and 22° 3′ north latitude, and at 16:55 on May 19, 2020 It appeared at 114°10', 22°5' north latitude, and appeared at 114°10', 22°6' north latitude at 18:45 on May 19, 2020. The trajectory data of the criminal suspect includes: the whereabouts and target image of the criminal suspect.

In a feasible implementation manner, the user may view at least one piece of data in the trajectory data of the criminal suspect. For example, in Example 11, the police can input an instruction to view image a to the data processing device. When receiving an instruction to view image a, the data processing device displays image a, the collection time of image a, and the collection location of image a. At this time, the first to-be-displayed data set includes the trajectory data of the criminal suspect, and the second to-be-displayed data set includes: image a, the collection time of image a, and the collection location of image a.

For another example, in Example 13, the police may input instructions to view image a and image b to the data processing device. The data processing device displays the image a, the collection time of the image a, the collection location of the image a, the collection time of the image b, the image b, and the collection location of the image b upon receiving an instruction to view the image a and the image b. At this time, the first data set to be displayed includes the trajectory data of the criminal suspect. The data set to be monitored includes dynamic data in the trajectory data of the criminal suspect. The second data set to be displayed includes: image a, the collection time of image a, the collection location of image a, the collection time of image b, image b, and the collection location of image b.

In a feasible implementation manner, in order for the user to have a more intuitive impression of the trajectory data of the criminal suspect, the trajectory data of the criminal suspect may be displayed on the map. At this time, the first data set to be displayed includes: map data and trajectory data of the criminal suspect.

For example, in Example 13, the map data may be the map data of A. The police hope to know the trajectory of the criminal suspect in area B of area A, and input instructions to the data processing device to view the trajectory of the criminal suspect in area B. Assume that the collection location of image a and the collection location of image b are located in area B. When the data processing device receives an instruction to view the suspect’s trajectory in area B, it displays the map data of area B, the collection time of image a, the collection time of image a, the collection location of image a, the location of image b, and image b. Collection time and location of image b. At this time, the first data set to be displayed includes: the trajectory data of the criminal suspect and the map data of the A place. The data set to be monitored includes: the dynamic data in the trajectory data of the criminal suspect, and the dynamic data in the map data of the A place. The second data set to be displayed includes: map data of area B, image a, the collection time of image a, the collection location of image a, the collection time of image b, image b, and the collection location of image b.

Those skilled in the art can understand that in the above-mentioned methods of the specific implementation, the writing order of the steps does not mean a strict execution order but constitutes any limitation on the implementation process. The specific execution order of each step should be based on its function and possibility. The inner logic is determined.

The foregoing describes the method of the embodiment of the present disclosure in detail, and the device of the embodiment of the present disclosure is provided below.

Please refer to FIG. 3, which is a schematic structural diagram of a data processing device 3 provided by an embodiment of the present disclosure. The device 3 includes: an acquisition unit 31, a determination unit 32, a monitoring unit 33, and a display unit 34, wherein:

The acquiring unit 31 is configured to acquire the first to-be-displayed data set;

The determining unit 32 is configured to determine a data set to be monitored from the first data set to be displayed; the quantity of data contained in the data set to be monitored is less than the quantity of data contained in the first data set to be displayed;

The monitoring unit 33 is configured to monitor the data set to be monitored to obtain a monitoring result;

The display unit 34 is configured to display the first data set to be displayed according to the monitoring result.

With reference to any embodiment of the present disclosure, the determining unit 32 is configured to:

With reference to any embodiment of the present disclosure, the monitoring unit 33 is configured to:

With reference to any embodiment of the present disclosure, the display unit 34 is configured to:

The second data set to be displayed is displayed.

The monitoring unit 33 is configured to:

The obtaining unit 31 is configured to:

Acquiring at least one second video stream;

In some embodiments, the functions or modules contained in the device provided in the embodiments of the present disclosure can be used to execute the methods described in the above method embodiments. For specific implementation, refer to the description of the above method embodiments. For brevity, here No longer.

FIG. 4 is a schematic diagram of the hardware structure of an electronic device 4 provided by an embodiment of the disclosure. The electronic device 4 includes a processor 41, a memory 42, an input device 43, and an output device 44. The processor 41, the memory 42, the input device 43, and the output device 44 are coupled through a connector, and the connector includes various interfaces, transmission lines, or buses, etc., which are not limited in the embodiment of the present disclosure. It should be understood that, in the various embodiments of the present disclosure, coupling refers to mutual connection in a specific manner, including direct connection or indirect connection through other devices, for example, can be connected through various interfaces, transmission lines, buses, and the like.

The processor 41 may include one or more processors, for example, one or more central processing units (CPU). In the case where the processor is a CPU, the CPU may be a single-core CPU or It is a multi-core CPU. In a feasible implementation manner, the processor 21 may be a processor group composed of multiple GPUs, and the multiple processors are coupled to each other through one or more buses. In a feasible implementation manner, the processor may also be other types of processors, etc., which is not limited in the embodiment of the present disclosure.

The memory 42 may be used to store computer program instructions and various computer program codes including program codes used to execute the solutions of the present disclosure. Optionally, the memory includes but is not limited to random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (erasable programmable read only memory, EPROM) ), or a portable read-only memory (compact disc read-only memory, CD-ROM), which is used for related instructions and data.

The input device 43 is used to input data and/or signals, and the output device 44 is used to output data and/or signals. The input device 43 and the output device 44 may be independent devices or a whole device.

It can be understood that in the embodiment of the present disclosure, the memory 42 can be used not only to store related instructions, but also to store related data. For example, the memory 42 can be used to store the first to-be-displayed data set acquired through the input device 43, or the memory 42 It can also be used to store the first to-be-displayed data set obtained by the processor 41, etc. The embodiment of the present disclosure does not limit the specific data stored in the memory.

It can be understood that FIG. 4 only shows a simplified design of the electronic device 4. In practical applications, the data processing device may also include other necessary components, including but not limited to any number of input/output devices, processors, memories, etc., and all data processing devices that can implement the embodiments of the present disclosure are in this Within the scope of public protection.

A person of ordinary skill in the art may realize that the units and algorithm steps of the examples described in combination with the embodiments disclosed herein can be implemented by electronic hardware or a combination of computer software and electronic hardware. Whether these functions are executed by hardware or software depends on the specific application and design constraint conditions of the technical solution. Professionals and technicians can use different methods for each specific application to implement the described functions, but such implementation should not be considered as going beyond the scope of the present disclosure.

The embodiments of the present disclosure also provide a computer-readable storage medium having a computer program stored on the computer-readable storage medium, and the computer program executes the data processing method described in the above method embodiment when the computer program is run by a processor. Wherein, the storage medium may be a volatile or non-volatile computer readable storage medium.

The computer program product of the data processing method provided by the embodiment of the present disclosure includes a computer-readable storage medium storing program code, and the program code includes instructions that can be used to execute the seat belt wearing detection method described in the above method embodiment For details, please refer to the above method embodiment, which will not be repeated here.

The embodiments of the present disclosure also provide a computer program, the computer program includes computer readable code, when the computer readable code runs in an electronic device, the processor of the electronic device executes the method for implementing the method described in any of the foregoing embodiments. Data processing method. The computer program product can be specifically implemented by hardware, software, or a combination thereof. In some embodiments of the present disclosure, the computer program product is specifically embodied as a computer storage medium. In some embodiments of the present disclosure, the computer program product is specifically embodied as a software product, such as a software development kit (SDK). and many more.

Those skilled in the art can clearly understand that, for the convenience and conciseness of description, the specific working process of the system, device and unit described above can refer to the corresponding process in the foregoing method embodiment, which will not be repeated here. Those skilled in the art can also clearly understand that the description of each embodiment of the present disclosure has its own focus. For convenience and brevity of description, the same or similar parts may not be repeated in different embodiments. Therefore, in a certain embodiment For parts that are not described or described in detail, reference may be made to the records of other embodiments.

In the several embodiments provided in the present disclosure, it should be understood that the disclosed system, device, and method may be implemented in other ways. For example, the device embodiments described above are merely illustrative, for example, the division of the units is only a logical function division, and there may be other divisions in actual implementation, for example, multiple units or components may be combined or It can be integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the objectives of the solutions of the embodiments.

In addition, the functional units in the various embodiments of the present disclosure may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit.

In the above embodiments, it may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented by software, it can be implemented in the form of a computer program product in whole or in part. The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the processes or functions described in the embodiments of the present disclosure are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions may be stored in a computer-readable storage medium or transmitted through the computer-readable storage medium. The computer instructions can be sent from a website, computer, server, or data center through wired (such as coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (such as infrared, wireless, microwave, etc.) Another website site, computer, server or data center for transmission. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or a data center integrated with one or more available media. The usable medium may be a magnetic medium (for example, a floppy disk, a hard disk, a magnetic tape), an optical medium (for example, a digital versatile disc (DVD)), or a semiconductor medium (for example, a solid state disk (SSD)) )Wait.

A person of ordinary skill in the art can understand that all or part of the process in the above-mentioned embodiment method can be realized. The process can be completed by a computer program instructing relevant hardware. The program can be stored in a computer readable storage medium. , May include the processes of the above-mentioned method embodiments. The aforementioned storage media include: read-only memory (ROM) or random access memory (RAM), magnetic disks or optical disks and other media that can store program codes.

Industrial applicability

The present disclosure provides a data processing method, device, electronic equipment, storage medium, and program; the method includes: obtaining a first data set to be displayed; determining a data set to be monitored from the first data set to be displayed; The amount of data contained in the monitoring data set is less than the amount of data contained in the first data set to be displayed; the data set to be monitored is monitored to obtain a monitoring result; the first data to be displayed is displayed according to the monitoring result set.

Claims

A data processing method, the method includes:

Obtain the first data set to be displayed;

Determining a data set to be monitored from the first data set to be displayed; the quantity of data contained in the data set to be monitored is less than the quantity of data contained in the first data set to be displayed;

Monitor the data set to be monitored to obtain a monitoring result;

According to the monitoring result, the first data set to be displayed is displayed.
The method according to claim 1, wherein the determining a data set to be monitored from the first data set to be displayed comprises:

At least one dynamic data is selected from the first data set to be displayed to obtain the data set to be monitored.
The method according to claim 1 or 2, wherein the monitoring the data set to be monitored to obtain the monitoring result includes:

The monitoring result is obtained by monitoring the selected state of the data set to be monitored.
The method according to claim 3, wherein the displaying of the first data set to be displayed according to the monitoring result comprises:

If the monitoring result is not updated, display the data that needs to be displayed in the first data set to be displayed in the current state;

In the case where the monitoring result is updated, the difference between the first data set and the second data set is calculated to obtain the second data set to be displayed; the first data set includes the current state A data set to be monitored; the second data set includes the data set to be monitored in the next state;

The second data set to be displayed is displayed.
The method according to claim 3 or 4, wherein the selected state includes all selected and empty selected;

The obtaining the monitoring result by monitoring the selected state of the data set to be monitored includes:

In the case where both the first selected state and the second selected state are the all selected, it is determined that the monitoring result is not updated; the first selected state is that the data set to be monitored is in the current state The selected state in the next state; the second selected state is the selected state of the data set to be monitored in the next state; or,

In the case that the first selected state and the second selected state are both the empty selection, it is determined that the monitoring result is not updated; the first selected state is that the data set to be monitored is in The selected state in the current state; the second selected state is the selected state of the data set to be monitored in the next state;

In a case where the first selected state and the second selected state are different, it is determined that the monitoring result is updated.
The method according to claim 5, wherein the calculating the difference between the first data set and the second data set to obtain the second data set to be displayed includes:

In the case where the third selected state and the fourth selected state are both the empty selection, the difference between the third data set and the fourth data set is calculated to obtain the second data set to be displayed; 3. The selected state is the selected state of the first node in the current state; the fourth selected state is the selected state of the first node in the next state; The first node is a child node of the second node; the second node is the node of the data set to be monitored; the third data set includes the data in the first data set except for the data in the first node The data; the fourth data set includes data in the second data set other than the data in the first node; or,

In the case that the third selected state and the fourth selected state are both the selected all, the difference between the third data set and the fourth data set is calculated to obtain the second The data set to be displayed; the third selected state is the selected state of the first node in the current state; the fourth selected state is the first node in the next state The selected state; the first node is a child node of the second node; the second node is the node of the data set to be monitored; the third data set includes the first data set except the Data other than the data in the first node; the fourth data set includes data other than the data in the first node in the second data set.
The method according to claim 6, wherein the calculating the difference between the third data set and the fourth data set to obtain the second data set to be displayed includes:

Acquiring the display status of the third node; the third node is a sibling node of the first node;

In the case that the display state is folded, the difference between the fifth data set and the sixth data set is calculated to obtain the second data set to be displayed; the fifth data set includes the third data set divided by Data other than the data in the third node; the sixth data set includes data other than the data in the third node in the fourth data set.
The method according to any one of claims 1 to 7, wherein the first data set to be displayed comprises: a first video stream;

The obtaining the first data set to be displayed includes:

Acquiring at least one second video stream;

In the case of receiving an instruction to select at least one video stream from the at least one second video stream, select the first video stream from the at least one second video stream.
A data processing device, the device includes:

An acquiring unit for acquiring the first data set to be displayed;

A determining unit, configured to determine a data set to be monitored from the first data set to be displayed; the quantity of data contained in the data set to be monitored is less than the quantity of data contained in the first data set to be displayed;

A monitoring unit for monitoring the data set to be monitored to obtain a monitoring result;

The display unit is configured to display the first data set to be displayed according to the monitoring result.
A processor, characterized in that the processor is used to execute the data processing method according to any one of claims 1 to 8.
An electronic device, comprising: a processor, an input device, an output device, and a memory, the memory is used to store computer program code, the computer program code includes computer instructions, when the processor executes the computer instructions The electronic device executes the data processing method according to any one of claims 1 to 8.
A computer-readable storage medium, characterized in that a computer program is stored in the computer-readable storage medium, and the computer program includes program instructions that, when the program instructions are executed by a processor, cause the processing The device executes the data processing method described in any one of claims 1 to 8.
A computer program, the computer program comprising computer readable code, in the case that the computer readable code is executed in an electronic device, the processor of the electronic device executes for realizing any one of claims 1 to 8 The data processing method described in the item.