TWI759059B - Data processing method electronic equipment computer readable storage medium - Google Patents

Abstract

This embodiment discloses a data processing method, electronic equipment, storage medium, and program; the method includes: acquiring 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 data set is less than the amount of data contained in the first data set to be displayed; monitor the data set to be monitored to obtain a monitoring result; display the first data set to be displayed according to the monitoring result. 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.

Description

Data processing method, electronic device, computer-readable storage medium

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

The browser usually renders the data to be displayed and then displays it on the browser display page. At the same time, the data 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 to be displayed to determine whether the data to be displayed is updated. Instant display of the page.

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

The present invention provides a data processing method, an electronic device, a storage medium and a program.

An embodiment of the present invention provides a data processing method, the method includes: acquiring a first data set to be displayed; determining a data set to be monitored from the first data set to be displayed; the number of data included 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 to obtain a monitoring result; and the first data set to be displayed is displayed according to the monitoring result. In this way, by monitoring the to-be-monitored data set in the first to-be-displayed data set, the quantity of data to be monitored is reduced, thereby reducing the hardware resources consumed by monitoring the first to-be-displayed data set, thereby improving the display of the first data set by the data processing device. The speed of the dataset to be displayed.

With reference to any embodiment of the present invention, the determining the data set to be monitored from the first data set to be displayed includes: selecting at least one dynamic data set from the first data set to be displayed to obtain the data set to be monitored. In this way, by monitoring the dynamic data in the first data set to be displayed, the monitoring accuracy can be improved while reducing the quantity of the data to be monitored.

With reference to any embodiment of the present invention, the monitoring of the data set to be monitored to obtain the monitoring result includes: obtaining the monitoring result by monitoring the selected state of the data set to be monitored. In this way, the selected state of the data to be monitored can further reduce the hardware resources consumed by monitoring the data set to be monitored.

With reference to any embodiment of the present invention, according to the monitoring result, Displaying the first data set to be displayed includes: if the monitoring result is not updated, displaying the data to be displayed in the first data set to be displayed in the current state; when the monitoring result is the In the case of having been updated, the difference between the first data set and the second data set is calculated to obtain a second to-be-displayed data set; the first data set includes the to-be-monitored data set in the current state; the The second data set includes the to-be-monitored data set in the next state; the second to-be-displayed data set 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, thereby reducing the hardware resources consumed by monitoring the data set to be monitored.

With reference to any embodiment of the present invention, the selected state includes all selection and empty selection; the monitoring result obtained by monitoring the selected state of the data set to be monitored includes: in the first selected state and When the second selected state is the all-selected state, it is determined that the monitoring result is not updated; the first selected state is the selected state of the data set to be monitored in the current state ; the second selected state is the selected state of the data set to be monitored in the next state; or, in both the first selected state and the second selected state In the case of the empty selection, it is determined that the monitoring result is not updated; the first selected state is the selected state of the data set to be monitored in the current state state; the second selected state is the selected state of 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 , and determine that the monitoring result is updated. In this way, through the specific selected state between the first selected state and the second selected state, and the relationship between the two selected states, it is quickly determined whether the monitoring result is not updated or has been updated.

Combining with any embodiment of the present invention, calculating the difference between the first data set and the second data set to obtain the second to-be-displayed data set includes: the third selected state and the fourth selected state are all selected In the case of the empty selection, the difference between the third data set and the fourth data set is calculated to obtain the second to-be-displayed data set; the third selected state is the state of the first node in the current state. the selected 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 The node is the node of the data set to be monitored; the third data set includes the data in the first data set except the data in the first node; the fourth data set includes the second data Collecting data 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, calculate the third data set The difference between the fourth data set and the second data set to be displayed is obtained; the third selected state is the selected state of the first node in the current state; the fourth The 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 dataset includes the The first data set includes data other than the data in the first node; the fourth data set includes data in the second data set other than the data in the first node. In this way, based on the case where the third selected state and the fourth selected state are both empty selections or all selections, 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 embodiment of the present invention, calculating the difference between the third data set and the fourth data set to obtain the second to-be-displayed data set includes: obtaining the display state of the third node; The third node is a sibling node of the first node; when the display state is folded, the difference between the fifth data set and the sixth data set is calculated to obtain the second to-be-displayed data set; the The fifth data set includes data in the third data set other than the data in the third node; the sixth data set includes data in the fourth data set other than the data in the third node. In this way, when the third node is a sibling node of the first node, and the display state of the third node is folded, it is only necessary to calculate the difference between the fifth data set and the sixth data set, which can reduce the calculation of the third data set. The amount of computation required to obtain the difference between the data set and the fourth data set to obtain the second data set to be displayed.

With reference to any embodiment of the present invention, the first data set to be displayed includes: a first video stream; the acquiring the first data set to be displayed includes: acquiring at least one second video stream; The first video stream is selected from the at least one second video stream upon receiving an instruction to select at least one video stream from the at least one second video stream. In this way, the first video stream is selected from the at least one second video stream to reduce the amount of data processing.

For descriptions of the effects of the following apparatuses, electronic devices, etc., reference may be made to the descriptions of the above-mentioned methods, which will not be repeated here.

An embodiment of the present invention provides a data processing device, the device includes: an acquisition unit, configured to acquire a first to-be-displayed data set; a determination unit, configured to determine a to-be-monitored data set from the first to-be-displayed data set; 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 is used to monitor the data set to be monitored to obtain a monitoring result; the display unit is used to monitor the data set according to the data set to be displayed. According to the monitoring result, the first data set to be displayed is displayed.

With reference to any embodiment of the present invention, the determining unit is configured to: select at least one dynamic data set from the first data set to be displayed to obtain the data set to be monitored.

With reference to any embodiment of the present invention, the monitoring unit is configured to obtain the monitoring result by monitoring the selected state of the data set to be monitored.

With reference to any of the embodiments of the present invention, the display unit is configured to: in the case that the monitoring result is not updated, display all the information in the current state. the data to be displayed in the first to-be-displayed data set; under the condition that the monitoring result is the updated, calculating the difference between the first data set and the second data set to obtain the second to-be-displayed data set; The first data set includes the to-be-monitored data set in the current state; the second data set includes the to-be-monitored data set in the next state; and the second to-be-displayed data set is displayed.

With reference to any embodiment of the present invention, the selected state includes all selection and empty selection; the monitoring unit is configured to: in the case that the first selected state and the second selected state are both the all selected, It is determined that the monitoring result is not updated; the first selected state is the selected state of the data set to be monitored in the current state; the second selected state is the data set to be monitored the selected state in the next state; or, in the case that the first selected state and the second selected state are both the empty selections, determine that the monitoring result is not updated ; the first selected state is the selected state of the data set to be monitored in the current state; the second selected state is the data set to be monitored in the next state the selected state; if the first selected state and the second selected state are different, determine that the monitoring result has been updated.

With reference to any embodiment of the present invention, the display unit is used for: in the case where the third selected state and the fourth selected state are both the empty selections Next, calculate the difference between the third data set and the fourth data set to obtain the second to-be-displayed data set; the third 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 pending state a node that listens to a data set; the third data set includes data in the first data set other than the data in the first node; the fourth data set includes the second data set except for the first data set Data other than the data in a node; or, in the case that the third selected state and the fourth selected state are both the all selected, calculate the third data set and the fourth The difference between the data sets is obtained to obtain the second 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 selected state 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 node The data set includes data in the first data set other than the data in the first node; the fourth data set includes data in the second data set other than the data in the first node.

With reference to any embodiment of the present invention, the display unit is used to: obtain the display state of the third node; the third node is a sibling node of the first node; when the display state is folded, calculate the first node The difference between the fifth data set and the sixth data set is to obtain the second to-be-displayed data set; the fifth data set includes the third data set except the data in the third node data other than the data set; the sixth data set includes data other than the data in the third node in the fourth data set.

With reference to any embodiment of the present invention, the first data set to be displayed includes: a first video stream; the acquiring unit is configured to: acquire at least one second video stream; In the case of an instruction to select at least one video stream in the stream, the first video stream is selected from the at least one second video stream.

An embodiment of the present invention provides a processor, where the processor is configured to execute the method according to the foregoing first aspect and any possible implementation manner thereof.

An embodiment of the present invention provides an electronic device, including: a processor, an input device, an output device, and a memory, where the memory is used to store computer program codes, and the computer program codes include computer instructions, which are executed by the processor. In the case of the computer instruction, the electronic device executes the method according to the above-mentioned first aspect and any possible implementation manner thereof.

An embodiment of the present invention provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a processor, the The processor performs the method as described above in the first aspect and any possible implementations thereof.

An embodiment of the present invention provides a computer program product, wherein the computer program product includes a computer-readable code, where the computer-readable code is stored in a computer In the case of running in the computer, the computer is made to execute any one of the above data processing methods.

The data processing method, device, electronic device, storage medium, and program proposed by the embodiments of the present invention; first, obtain a first data set to be displayed; secondly, determine a data set to be monitored from the first data set to be displayed; The quantity of the data contained in the monitoring data set is less than the quantity of the data contained in the first to-be-displayed data set; then, monitoring the to-be-monitored data set to obtain a monitoring result; finally, according to the monitoring result, displaying the first Waiting for the dataset to be displayed. In this way, in the embodiment of the present invention, by monitoring the to-be-monitored data set in the first to-be-displayed data set, the quantity of data to be monitored is reduced, thereby reducing the hardware resources consumed by monitoring the first to-be-displayed data set, Therefore, the speed of displaying the first data set to be displayed by the data processing device is improved.

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

201: Get Terminal

202: Internet

203: Data processing terminal

3: Data processing device

31: Get Unit

32: Determine the unit

33: Monitor unit

34: Display unit

4: Electronic equipment

41: Processor

42: Memory

43: Input device

44: Output device

101~104: Steps

In order to more clearly describe the technical solutions in the embodiments of the present invention or the background technology, the accompanying drawings required in the embodiments or the background technology of the present invention will be described below.

The accompanying drawings, which are incorporated into and constitute a part of this specification, illustrate embodiments consistent with the present invention, and together with the description, serve to explain the technical solutions of the present invention.

FIG. 1 is a schematic flowchart of a data processing method provided by an embodiment of the present invention; FIG. 2 is a schematic diagram of a network architecture of data processing provided by an embodiment of the present invention; FIG. 3 is a data processing device 3 provided by an embodiment of the present invention. Schematic diagram of the structure; FIG. 4 is a schematic diagram of the hardware structure of an electronic device 4 according to an embodiment of the present invention.

In order to make those skilled in the art better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only These are some embodiments of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The terms "first", "second" and the like in the description of the present invention and the scope of the patent application and the above drawings are used to distinguish different items, rather than to describe a specific order. Furthermore, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units is not limited to the listed steps or units, but optionally also includes unlisted steps or units, or optionally also includes For these processes, methods, products or equipment Inherent in other steps or units.

Reference herein to an "embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor a separate or alternative embodiment that is mutually exclusive of other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

In the process of displaying the page by the browser, the browser displays the data to be displayed through the page by rendering the data to be displayed. Since the data to be displayed may be updated over time, in order for the browser to display the updated data in real time through the page, it is necessary to monitor the data to be displayed to determine whether the data to be displayed is updated. Instant display of the page.

For example (Example 1), Xiaoming needs to fill in the delivery address during the online shopping process 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. Xiaoming selects "China" in the country's alternative options. At this time, the browser displays all provinces in China in the selectable address range for Xiaoming 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 displayed content in the selected address range can be updated from all provinces in China to all cities in Hunan Province. By monitoring the data to be displayed on the page for filling in the shipping address, if it is determined that the data within the range of selectable addresses has been updated, the displayed content of the page for filling in the shipping address can be updated. If it is specific, the display content in the selectable address range will be updated from all provinces in China to all cities in Hunan Province.

In the traditional method, the real-time display of the page is realized by monitoring all the data to be displayed on the page. Continuing with Example 1 (Example 2), the data to be displayed on the page, in addition to the data within the address range that can be selected, also includes information about the products Xiao Ming purchased and Xiao Ming's shopping account name. In the process of Xiaoming filling in the delivery address, he not only needs to monitor the data within the range of selectable addresses, but also needs to monitor the information of the products Xiaoming purchased and Xiaoming's shopping account name. Since the quantity of the data to be displayed is large, the hardware resources required to monitor the data to be displayed are large, wherein the hardware resources include the overhead of the memory. The high consumption of hardware resources can easily lead to the slow running speed of the browser, and even cause the browser to freeze or crash.

Based on this, an embodiment of the present invention provides a data processing method, so as to reduce the hardware resources consumed by monitoring the data to be displayed.

The execution body of the embodiment of the present invention 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 invention will be described below with reference to the accompanying drawings in the embodiments of the present invention.

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

101. Obtain a first data set to be displayed.

In the embodiment of the present invention, the first data set to be displayed is data that can be displayed on a page. For example, in Example 2, the first data set package to be displayed Including the information in the address range that can be selected, the information of the products Xiao Ming purchased, and the name of Xiao Ming's shopping account. In another example (Example 3), Xiaohong browses a web page through a browser, and watches a video through the web page. At this time, the first data set to be displayed includes the video, the information of the video (including the name of the video), and the account information (including account avatar and account name) for viewing the video.

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

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 manner, the first terminal may be any one 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. In the case of receiving the data set that can be displayed on the page sent by the server, the data processing device will take the data set as the first data set to be displayed.

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, it is necessary to reduce the quantity of data to be monitored. Different from the traditional approach to the first treatment Each piece of data in the display data set is monitored, and in the embodiment of the present invention, only part of the data in the first to-be-displayed data set is monitored, thereby reducing the quantity of data to be monitored.

In a possible implementation manner, the to-be-monitored data set is determined from the first to-be-displayed data set, wherein the quantity of the data contained in the to-be-monitored data set is less than the quantity of the data contained in the first to-be-displayed data set. 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 a monitoring result.

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

In this embodiment of the present invention, the monitoring result includes updated and unupdated. The monitoring result is updated, indicating 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, indicating 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 to be displayed in the data set to be monitored has not been updated.

The above-mentioned current state refers to the current display state of the page, and the above-mentioned 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 the video stream collected by the camera in place A, and video stream 2 is The video stream collected by the camera at B site. 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 the first data set to be displayed part of the dataset. In the process of arresting the criminal suspect, the police lock the criminal suspect in place B based on the information provided by the witnesses, and input the instruction to view the video stream collected by the camera in place B into the data processing device (for example, by sliding The mouse chooses to view the video stream captured by the camera in B). In the case of 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 .

Continuing with example 2 (Example 4), the first data set to be displayed includes data within the range of selectable addresses, information about the products Xiao Ming purchased, and Xiao Ming's shopping account name, assuming that the data set to be monitored includes selectable addresses data in the range. The data sets to be monitored in the current state include: all provinces in China, and the data sets to be monitored in the next state include: 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. Display the first data set to be displayed according to the monitoring result.

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 displayed content of the page in the next state is the same as the displayed content of the page in the current state. In a feasible implementation manner, when the monitoring result is not updated, the data processing apparatus does not need to render any data, that is, displays the data 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 displayed content of the page in the current state It 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 displayed content of the page in the current state includes all provinces in China, information about the products Xiao Ming purchased, and Xiao Ming's shopping account name. The displayed content of the page in the next state includes all cities in Hunan Province, the information of the products Xiaoming purchased, and the name of Xiaoming's shopping account. The data processing device does not render all provinces in China, but renders all cities in Hunan Province, so that the page can be displayed in the next state.

In the embodiment of the present invention, by monitoring the to-be-monitored data set in the first to-be-displayed data set, the quantity of data to be monitored is reduced, thereby reducing the hardware resources consumed by monitoring the first to-be-displayed data set, thereby improving the data processing device Displays the speed of the first dataset to be displayed.

FIG. 2 shows a schematic diagram of a network architecture for data processing provided by an embodiment of the present invention; 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, and 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 In response to the received first to-be-displayed data set, determine a to-be-monitored data set from the first to-be-displayed data set; the quantity of data contained in the to-be-monitored data set is less than the quantity of data contained in the first to-be-displayed data set; Monitor the data set and get the monitor result. Finally, the data processing terminal 203 uploads the monitoring result to the network 202 and sends it to the acquisition terminal 201 through the network 202 .

Through the processing of step 102, the effect of reducing the number of data to be monitored can be achieved, but since some data in the first to-be-displayed data set have not been monitored, if this part of the data that has not been monitored has been updated, it cannot pass the The page displays the update of this part of the unmonitored data. Continue with Example 4 (Example 5), assuming that the commodities Xiaoming purchased are A and B in the current state, Xiaoming suddenly remembers that B already exists at home, and removes B from the purchased commodities. At this time, the next In one state, the product purchased by Xiao Ming is A, that is, the information of the product purchased by Xiao Ming has been updated. In the case that the information of the commodity 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 commodity purchased by Xiao Ming has been updated by monitoring the data set to be monitored, and thus cannot be displayed on the next state page. An update of the information of the products Xiao Ming purchased.

For convenience of expression, the ratio of the number of updated data monitored by the data processing device to the number of updated data in the first to-be-displayed data set is referred to as monitoring accuracy hereinafter. 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, wherein data e is data obtained after data a is updated, and data f is data obtained after data d is updated. During 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 include data a and data d, so , the monitoring accuracy is: 1/2=50%.

As an optional implementation manner, step 102 specifically includes: next step.

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

In this embodiment of the present invention, dynamic data refers to data that can change with time during the page display process. For example, in Example 3, any two playback images in the video are different, that is, the playback content of the video changes with time. Instead, the video data is dynamic data. In Example 5, the information of the product Xiaoming purchased 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 that watches the video Information is 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 updating is relatively large, and the probability of static data updating is relatively small. Therefore, monitoring the dynamic data in the first data set to be displayed can improve the monitoring accuracy while reducing the quantity of the data to be monitored.

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

After obtaining the data set to be monitored, 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 it can be determined whether the monitoring result is not updated or not. updated.

The embodiment of the present invention provides a method to further reduce the hardware resources consumed by 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 this embodiment of the present invention, the selected state of the to-be-monitored data set represents the selected state of the data in the to-be-monitored data set. In a feasible implementation manner, the selected state includes all-selected and empty-selected.

When the selected state of the data set to be monitored is all selected, it means that all the data in the data set to be monitored are selected. In the case that the selected state of the data set to be monitored is semi-selected, it indicates that part of the data in the data set to be monitored is selected.

For example, it is assumed that 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.

In the case where the selected state of the data set to be monitored is empty, it means that some data in the data set to be monitored are not selected. For example, it is assumed that the data set to be monitored includes data a and data b. In both data a and data b are not When selected, the selected state of the data set to be monitored is empty.

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

Obviously, the unselected materials do not need to be displayed through the page, and the selected materials may need to be displayed through 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 expression, 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.

When 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 then it can be determined that The monitoring result 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 and the selected data in the data set to be monitored in the next state The same, 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, both the first selected state and the second selected state are empty In this case, 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. The monitoring dataset is the same.

In the case where 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, so it can be determined that The monitoring result is updated.

For example, assuming that the first selected state is all selected and the second selected state is empty, at this time, the selected data in the data set to be monitored in the current state and 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.

For another example, suppose that the first selected state is empty and the second selected state is all selected. At this time, the selected data in the data set to be monitored in the current state and the data set to be monitored in the next state are selected. The data in are 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 semi-selected, 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 may be Same, maybe different. In order to improve the monitoring accuracy, as an optional implementation manner, when the first selected state and the second selected state are both semi-selected, it is determined that the monitoring result has been updated.

After determining the monitoring result of the data set to be monitored, step 104 specifically includes the following two steps.

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

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

In this embodiment of the present invention, the first data set includes a data set to be monitored in a current state, and the second data set includes a data set to be monitored in a 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. , 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, so as 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 to-be-monitored data set can be determined to obtain the second to-be-displayed data set.

Continuing with 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 in the next The content that needs to be displayed in a state is data b and data c. Since the display content of the page in the current state includes data b, the second data set to be displayed 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: adding data b, and then it can be determined that the content to be displayed on the page 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, so as to update the display content of the page.

Continuing with example 7, it is assumed that in the page in the current state, 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 to-be-displayed data set may include: stopping the rendering of the data a, and rendering the data c to obtain a page in the next state, so that in the page in the next state, the content displayed at p ₁ is the data c, the content displayed at p ₂ is data b.

In the embodiment of the present invention, by monitoring the selected state of the data set to be monitored to determine the monitoring result, the need for monitoring the data set to be monitored can be reduced. It can reduce the hardware resources consumed by monitoring the data set to be monitored.

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 result in a waste of hardware resources.

For example (Example 9), assuming that the first data set includes data a, data b, and data c, wherein 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. Among them, data d is the data obtained by updating data b, and data a and data d are both selected. At this time, the second selected state is semi-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, Computing the difference between the data a in the current state and the data a in the next state will waste hardware resources.

Based on this, an embodiment of the present invention provides a method to reduce 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 to-be-displayed data set.

In a feasible implementation manner, the first data set to be displayed is stored in the data processing device in a tree-shaped data structure. The node that will be listening to the dataset Referred to as the second node, 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 other than the data in the first node is called the third data set, and the data in the second data set other than 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 other than 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, where data e is the updated data of data a, data f is the updated data of data d, and 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 other than the data in the first node are data c and data f, that is, the fourth data set includes data c and data f.

Both the third selected state and the fourth selected state are empty selections, indicating that neither the data in the first node in the current state nor the data in the first node in the next state are selected. Since the unselected data do 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, the difference between the third data set and the fourth data set is calculated to obtain the second to-be-displayed data set.

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 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, when 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 computation required to calculate the difference between the first data set and the second data set can be reduced, thereby reducing the hardware cost of calculating the difference between the first data set and the second data set resource.

Continuing with Example 9 (Example 10), in the case that 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 both 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, it is only necessary 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, in the case that the data processing device determines that the data in the second node has been updated (that is, the monitoring result is updated), the data processing device recursively downwards way to determine whether there is an unupdated node in the child nodes of the second node. An unupdated node is a node whose selected state in the current state is the same as that in the next state, and the selected state in the current state is not half-selected. 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 material in the unupdated node in the current state and the material 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 for calculating the difference between the first data set and the second data set be reduced in the process of recursive downward, but also can be used in the recursive upward process. In the process, the hardware resources consumed for calculating the difference between the first data set and the second data set are reduced.

For example, it is assumed 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 is called the sixth selected 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 referred to as the tenth selected state.

The data processing device monitors that the selected state of the fourth node is updated from semi-selected to empty (that is, the fifth selected state is semi-selected, and the sixth selected state is If the fifth node and the third node are all unupdated nodes, since the fifth node is an unupdated node, the data in the first node in the current state and the first node in the next state are calculated. In the process of the difference between the data in the current state, it is only necessary to 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, since the third node is also an unupdated node as a sibling node of the first 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 , 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.

That is to say, 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), when calculating the current state During 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 data in the fourth node in the current state and the fourth node in the next state. Differences between data in nodes. 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 apparatus does not need to perform upward recursion processing, thereby reducing the amount of data processing.

Since the display area of the page is limited, if the amount of data to be displayed is large, part of the data to be displayed can be hidden (hereinafter the data to be displayed that is hidden is referred to as hidden data). Display hidden data when receiving an instruction to display hidden data. Hidden data will not be displayed unless an instruction to display hidden data has been received.

In order to reduce the amount of computation required to calculate the difference between the third data set and the fourth data set, the hidden data in the current state and the hidden data in the next state may not be calculated if no instruction to display the hidden data is received. differences 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 to-be-displayed data set specifically includes the following steps.

7. Obtain the display status of the third node.

In the embodiment of the present invention, 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 states include display and folding. When the display state of the node is display, the data to be displayed in the node is displayed on the page. When the display state of the node is folded, the data to be displayed in the node is not displayed, and at this time, the data 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 to-be-displayed data set.

In the embodiment of the present invention, the fifth data set includes data in the third data set other than the data in the third node, and the sixth data set includes data in the fourth data set except the 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 other than 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, wherein, data e is the updated data of data a, and data f is the updated data of data d. The data in the third node in the next state includes data e and data b, and the data in the fourth data set other than 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, indicating 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 calculation of the difference between the third data set and the fourth data set can be completed to obtain the second to-be-displayed data set. In this way, the amount of computation required to calculate the difference between the third dataset and the fourth dataset can be reduced.

In a feasible implementation manner, the data processing apparatus calculates the difference between the data in the third node in the current state and the data in the third node in the next state when receiving an instruction to display the third node in the display state The difference between the two is obtained to obtain the second data set to be displayed.

Continuing with Example 1, in the case where Xiaoming selects Hunan Province from all provinces in China, all cities in Hunan Province are selected, and all districts in each city are also selected. Assuming that Changsha City includes Furong District, Yuelu District, Tianxin District, Kaifu District, Yuhua District, and Wangcheng District, in the case that Xiaoming selects Hunan Province from all provinces in China, in the next state, the page only needs to display all the provinces in Hunan Province. City, no need to display all districts in Changsha. At this time, the data of all districts in Changsha City are hidden data. In the case where Xiao Ming selects Changsha from all the cities in Hunan Province and inputs an instruction to display hidden data to the data processing device, the data processing device calculates the data of Changsha in the current state The difference between the data in Changsha City and the next state is obtained to obtain the second data set to be displayed.

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

Scenario 1: In the field of security, 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, using computer vision technology to process the video captured by the camera can determine the image containing people and/or the image containing vehicles, and then can The trajectory of the person and/or the trajectory of the vehicle is determined based on the image containing the person and/or the image containing 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 the data processing device (eg, a server) includes a video stream captured by a camera in Shenzhen and a video stream captured by a camera in Guangzhou. Based on the suspect's information, the police locked the suspect in Shenzhen, and entered an instruction to the data processing device to view the video stream captured by the camera in Shenzhen. In the case of 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. Acquire 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. exist 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 of acquiring at least one second video stream, there is a communication connection between the data processing device and at least one surveillance camera. The data processing device acquires at least one second video stream collected by at least one surveillance camera through the communication connection. Continuing with example 11 (Example 12), the at least one second video stream includes a video stream captured by a camera in Shenzhen and a video stream captured by a camera in Guangzhou.

10. Select the first video stream from the 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.

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

The data processing apparatus selects the first video stream from the at least one second video stream when receiving an instruction to select at least one video stream from the at least one second video stream. Continuing with the example in Example 12, the instruction to select at least one video stream from the above-mentioned at least one second video stream is to select the video stream captured by the camera in Shenzhen and the video stream captured by the camera in Guangzhou from the video stream captured by the camera in Shenzhen. The video stream captured by the camera. In the case of receiving this instruction, the data processing device will select the video stream collected by the camera in Shenzhen and the video stream collected by the camera in Guangzhou. In the frequency stream, the video stream collected by the camera in Shenzhen is selected 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-mentioned 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. When the data processing device receives the instruction, it selects the video stream 1 and the video stream 2 from the video stream 1, the video stream 2, and the 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 amount of data in the first video stream is 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 invention, thereby reducing the amount of data processing.

In a possible embodiment, when the data processing device displays the first video stream, the user can determine from the first video stream an image containing a person and/or an image containing a vehicle. For example, an attribute of a person is input to the data processing apparatus to cause the data processing apparatus to use the attribute to retrieve images from the first video stream containing persons whose attributes match the attribute.

After it is determined from the first video stream that the image containing the person and/or the image containing the vehicle, the acquisition time and the acquisition time of the image (here refers to the image containing the person and/or the image containing the vehicle) can be determined according to the Location, to determine the trajectory of the character and/or the trajectory of the vehicle.

Scenario 2: The data processing device is based on the technical solution provided by the present invention Displaying the trajectories of characters and/or vehicles can reduce the amount of data processing and improve the speed of data processing.

For example (Example 13), a robbery occurred in place A. According to the information provided by witnesses at the scene, the suspect was wearing a black shirt, black pants, and white shoes. The suspect wore a mask and had short black hair. After the police know the attributes of the criminal suspect (i.e. black shirt, black pants, white shoes, wearing a mask, short black hair), they can use the attributes of the criminal suspect to retrieve the image library of place A (the images in the image library). It is collected by the camera in place A), and an image with character attributes matching the attributes of the criminal suspect is obtained as a bullseye image. When the police determine that the character in the bullseye image is a criminal suspect, the track data of the criminal suspect can be determined according to the collection time of the bullseye image and the collection location of the bullseye image.

Suppose the bullseye 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 . Image a is collected at 114° east longitude and 22° 3 ' north latitude, image b is collected at 114° 10 ' east longitude and 22° 5 ' north latitude, and image c is collected at 114° 10 ' east longitude and north latitude 22°6 ' . According to the collection time and location of the bullseye image, the whereabouts of the criminal suspect can be determined: at 114° east longitude and 22° 3 ' north latitude at 16:45 on May 19, 2020, at 16:45 on May 19, 2020 55 appeared at 114°10 ' , 22° 5'N , and at 114°10 ' , 22° 6'N on May 19, 2020 at 18:45. The track information of the criminal suspect includes: the whereabouts of the criminal suspect and the bullseye image.

In a feasible implementation, the user can view at least one of the track data of the criminal suspect. For example, in Example 11, the police may input an instruction to view image a to the data processing device. The data processing device displays the image a, the acquisition time of the image a, and the acquisition location of the image a when the instruction to view the image a is received. At this time, the first data set to be displayed includes the trajectory data of the criminal suspect, and the second data set to be displayed 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 an instruction to view the image a and the image b to the data processing device. When the data processing device receives an instruction to view the image a and the image b, it displays the image a, the collection time of the image a, the collection location of the image a, the image b, the collection time of the image b, Acquisition site of 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 track data of the criminal suspect. The second data set to be displayed includes: image a, acquisition time of image a, acquisition location of image a, image b, acquisition time of image b, and acquisition location of image b.

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

For example, in Example 13, the map data may be the map data of place A. The police want to know the track of the criminal suspect in area B of place A, and input the instruction to check the track of the criminal suspect in area B into the data processing device. make. It is assumed that the acquisition site of image a and the acquisition site of image b are located in area B. When the data processing device receives an instruction to check the trajectory of the criminal suspect in the area B, it displays the map data of the area B, the image a, the collection time of the image a, the collection location of the image a, and the image b. , the acquisition time of image b, and the acquisition location of image b. At this time, the first data set to be displayed includes: trajectory data of the criminal suspect and map data of place A. The data set to be monitored includes: dynamic data in the criminal suspect's trajectory data, and dynamic data in the map data of place A. The second data set to be displayed includes: map data of area B, image a, collection time of image a, collection location of image a, image b, collection time of image b, and collection location of image b.

Those skilled in the art can understand that in the above method of the specific implementation, the writing order of each step does not mean a strict execution order but constitutes any limitation on the implementation process, and the specific execution order of each step should be based on its function and possible Internal logic is determined.

The method of the embodiment of the present invention is described in detail above, and the apparatus of the embodiment of the present invention is provided below.

Please refer to FIG. 3. FIG. 3 is a schematic structural diagram of a data processing device 3 according to an embodiment of the present invention. The device 3 includes: an acquisition unit 31, a determination unit 32, a monitoring unit 33, and a display unit 34, wherein: the acquisition unit 31, is used to obtain a first data set to be displayed; the determining unit 32 is configured to determine a data set to be monitored from the first data set to be displayed; the data set to be monitored contains less data than the first data set to be displayed the amount of data contained in the data set; The monitoring unit 33 is configured to monitor the to-be-monitored data set to obtain a monitoring result; the display unit 34 is configured to display the first to-be-displayed data set according to the monitoring result.

With reference to any embodiment of the present invention, the determining unit 32 is configured to: select at least one dynamic data set from the first data set to be displayed to obtain the data set to be monitored.

With reference to any embodiment of the present invention, the monitoring unit 33 is configured to obtain the monitoring result by monitoring the selected state of the data set to be monitored.

With reference to any embodiment of the present invention, the display unit 34 is configured to: in the case that the monitoring result is not updated, display the data 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, calculating the difference between the first data set and the second data set to obtain a second to-be-displayed data set; the first data set includes the to-be-displayed data set in the current state monitoring a data set; the second data set includes the to-be-monitored data set in the next state; displaying the second to-be-displayed data set.

With reference to any embodiment of the present invention, the selected state includes full selection and empty selection; The monitoring unit 33 is configured to: in the case that both the first selected state and the second selected state are all selected, determine that the monitoring result is not updated; the first selected state is the the selected state of the data set to be monitored in the current state; the second selected state is the selected state of the data set to be monitored in the next state; or, in the In the case that both the first selected state and the second selected state are 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 current state. the selected state in the state; the second selected state is the selected state of the data set to be monitored in the next state; in the first selected state and the second selected state When the selected states are different, it is determined that the monitoring result has been updated.

In combination with any embodiment of the present invention, the display unit 34 is configured to: in the case that the third selected state and the fourth selected state are both the empty selections, calculate the difference between the third data set and the fourth data set to obtain the second 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 selected state the selected state of the 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 data in the first data set other than the data in the first node; the fourth data set includes data in the second data set other than the data in the first node; or, In the case that both the third selected state and the fourth selected state are the all-selected, the difference between the third data set and the fourth data set is calculated to obtain the second data set 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 selected state of 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 in addition to the data in the first node; the fourth data set includes data in the second data set other than the data in the first node.

With reference to any embodiment of the present invention, the display unit 34 is used to: obtain the display state of the third node; the third node is a sibling node of the first node; when the display state is folded, calculate The difference between the fifth data set and the sixth data set, the second to-be-displayed data set is obtained; the fifth data set includes the data in the third data set except the data in the third node; the The sixth data set includes data in the fourth data set other than the data in the third node.

With reference to any embodiment of the present invention, the first data set to be displayed includes: a first video stream; the acquiring unit 31 is configured to: acquire at least one second video stream; Choose at least one from the video stream In the case of an instruction of a video stream, the first video stream is selected from the at least one second video stream.

In some embodiments, the functions or modules included in the apparatus provided in the embodiments of the present invention may be used to execute the methods described in the above method embodiments. For specific implementation, reference may be made to the above method embodiments. For brevity, I won't go into details here.

FIG. 4 is a schematic diagram of a hardware structure of an electronic device 4 according to an embodiment of the present invention. 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 bus bars, etc., which is not limited in this embodiment of the present invention. It should be understood that, in various embodiments of the present invention, coupling refers to mutual connection in a specific manner, including direct connection or indirect connection through other devices, such as various interfaces, transmission lines, bus bars, and the like.

The processor 41 may include one or more processors, for example, one or more central processing units (central processing units, CPUs). In the case where the processor is a CPU, the CPU may be a single-core CPU or 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 bus bars. In a feasible implementation manner, the processor may also be another type of processor, etc., which is not limited in this embodiment of the present invention.

The memory 42 can be used to store computer program instructions and to execute All kinds of computer program codes including the program code for executing the solution of the present invention. Optionally, the memory includes, but is not limited to, random access memory (RAM), read-only memory (read-only memory, ROM), erasable programmable read-only memory (erasable programmable read). only memory, EPROM), or portable read-only memory (compact disc read-only memory, CD-ROM), the memory is used for related instructions and data.

The input device 43 is used for inputting data and/or signals, and the output device 44 is used for outputting data and/or signals. The input device 43 and the output device 44 may be independent devices or may be an integral device.

It can be understood that, in this embodiment of the present invention, the memory 42 can not only be used to store related instructions, but also can be used 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 The memory 42 can also be used to store the first data set to be displayed obtained by the processor 41, etc., and the embodiment of the present invention does not limit the specific data stored in the memory.

It can be understood that FIG. 4 only shows a simplified design of an 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 invention are in within the protection scope of the present invention.

Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be electrically Sub-hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Skilled artisans may implement the described functionality using different methods for each particular application, but such implementations should not be considered beyond the scope of the present invention.

Embodiments of the present invention further provide a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and the computer program executes the data processing method described in the above method embodiments 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 invention includes a computer-readable storage medium storing a program code, and the instructions included in the program code can be used to execute the seat belt wearing detection method described in the above method embodiment. , reference may be made to the foregoing method embodiments, which will not be repeated here.

An embodiment of the present invention further provides a computer program, the computer program includes computer-readable code, and when the computer-readable code is run in an electronic device, the processor of the electronic device executes the code for implementing any of the foregoing embodiments. Data processing method. The computer program product can be implemented by hardware, software or a combination thereof. In some embodiments of the present invention, the computer program product is embodied as a computer storage medium. In some embodiments of the present invention, the computer program product is embodied as a software product, such as a software development kit (Software Development Kit, SDK). and many more.

Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which will not be repeated here. Those skilled in the art can also clearly understand that the description of each embodiment of the present invention has its own emphasis. For the convenience and brevity of the description, the same or similar parts may not be repeated in different embodiments. Therefore, in a certain embodiment For the parts that are not described or not described in detail, reference may be made to the descriptions of other embodiments.

In the several embodiments provided by the present invention, it should be understood that the disclosed systems, devices and methods may be implemented in other manners. For example, the apparatus embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or may be Integration into another system, or some features can be ignored, or not implemented. On the other hand, the shown or discussed mutual coupling or direct coupling or communication connection may be through some interfaces, indirect coupling or communication connection of devices or units, and may be in electrical, mechanical or other forms.

The unit described as a separate component may or may not be physically separated, and the component displayed as a unit may or may not be a physical unit, that is, it may be located in one place, or may be distributed to multiple network units . Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the present invention.

In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically alone, It is also possible to integrate two or more units in one unit.

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

Those of ordinary skill in the art can understand that to realize all or part of the processes in the methods of the above embodiments, the process can be completed by instructing the relevant hardware by a computer program, and the program can be stored in a computer-readable storage medium. , the process of each method embodiment described above may be included. and The aforementioned storage medium includes: read-only memory (ROM) or random access memory (RAM), magnetic disk or optical disk and other mediums that can store program codes.

Industrial Applicability

The present invention provides a data processing method, device, electronic device, storage medium and program; the method includes: acquiring a 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 is less than the quantity of data contained in the first data set to be displayed; monitoring the data set to be monitored to obtain a monitoring result; and displaying the first data set to be displayed according to the monitoring result .

101~104: Steps

Claims (9)

A data processing method, the method being applied to a data processing device, the method comprising: acquiring a 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 is less than the quantity of data contained in the first to-be-displayed data set; the monitoring result is obtained by monitoring the selected state of the to-be-monitored data set; wherein, the selected state includes all selections and empty selections; Displaying the first data set to be displayed according to the monitoring result; obtaining the monitoring result by monitoring the selected state of the data set to be monitored, including: in the first selected state and the second selected state In the case where the states are all selected, it is determined that the monitoring result is not updated; the first selected state is the selected state of the data set to be monitored in the current state; the first selected state is the selected state of the data set to be monitored in the current state; The second selected state is the selected state of the data set to be monitored in the next state; or, both the first selected state and the second selected state are empty selections In this case, it is determined that the monitoring result is not updated; the first selected state is the selected state of the data set to be monitored in the current state; the second selected state is the pending state The selected state of the data set in the next state is monitored; if 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 1, wherein the Determining the data set to be monitored in the first data set to be displayed includes: selecting at least one dynamic data set from the first data set to be displayed to obtain the data set to be monitored. The method according to claim 1, wherein the displaying the first data set to be displayed according to the monitoring result includes: in the case that the monitoring result is not updated, displaying the first data set in the current state 1. The data to be displayed in the data set to be displayed; when 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 is The data set includes the to-be-monitored data set in the current state; the second data set includes the to-be-monitored data set in the next state; and the second to-be-displayed data set is displayed. The method according to claim 1, wherein the calculating the difference between the first data set and the second data set to obtain the second to-be-displayed data set includes: in a third selected state and a fourth selected state In the case of the empty selection, the difference between the third data set and the fourth data set is calculated to obtain the second to-be-displayed data set; the third selected state is that the first node is in the current the selected state in the 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 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 the data in the first node; the fourth data set includes the data in the second data set other than the data in said first node; or, In the case that both the third selected state and the fourth selected state are the all-selected, the difference between the third data set and the fourth data set is calculated to obtain the second data set 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 selected state of 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 in addition to the data in the first node; the fourth data set includes data in the second data set other than the data in the first node. The method according to claim 4, wherein the calculating the difference between the third data set and the fourth data set to obtain the second to-be-displayed data set comprises: obtaining the display of the third node state; the third node is a sibling node of the first node; when the display state is folded, the difference between the fifth data set and the sixth data set is calculated to obtain the second to-be-displayed data set ; the fifth data set includes data in the third data set other than the data in the third node; the sixth data set includes data in the fourth data set other than the data in the third node . The method according to claim 1 or 2, wherein the first data set to be displayed includes: a first video stream; the acquiring the first data set to be displayed includes: acquiring at least one second video stream; The first video stream is selected from the at least one second video stream upon receiving an instruction to select at least one video stream from the at least one second video stream. A processor for executing the data processing method described in any one of claim items 1 to 5. An electronic device, comprising: a processor, an input device, an output device and a memory, the memory is used to store computer program codes, the computer program codes include computer instructions, and when the processor executes the computer instructions Next, the electronic device executes the data processing method described in any one of claim items 1 to 5. A computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, the computer program includes program instructions, and when the program instructions are executed by a processor, the processor is caused to execute request item 1 The data processing method described in any one of to 5.

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