阅读说明：本技术 视频对话场景的参与度分析方法、装置、设备及存储介质 (Method, device and equipment for analyzing participation degree of video conversation scene and storage medium ) 是由 吴微 于 2020-07-07 设计创作，主要内容包括：本申请提供一种视频对话场景的参与度分析方法、装置、设备及存储介质,涉及视频通信技术领域。该方法包括获取至少一个参与图像,每个参与图像为该视频对话场景中一个第一参与终端所采集的图像；确定每个参与图像中目标部位的第一面积信息；根据该第一面积信息,以及预设的目标部位对应的第二面积信息,确定该第一参与终端对应参与用户的视频对话参与度。应用本申请实施例,不仅可以降低主持用户的负担,而且还会使获取到的参与用户的参与度精度得到提高。(The application provides a participation degree analysis method, a participation degree analysis device, participation equipment and a storage medium of a video conversation scene, and relates to the technical field of video communication. The method comprises the steps of obtaining at least one participating image, wherein each participating image is an image collected by a first participating terminal in the video conversation scene; determining first area information of a target part in each participated image; and determining the video conversation participation degree of the first participating terminal corresponding to the participating user according to the first area information and the preset second area information corresponding to the target part. By applying the embodiment of the application, the burden of the host user can be reduced, and the acquired participation precision of the participating user can be improved.)

1. A method for analyzing engagement of a video conversation scene, the method comprising:

acquiring at least one participating image, wherein each participating image is an image acquired by a first participating terminal in the video conversation scene;

determining first area information of a target part in each participated image;

and determining the video conversation participation degree of the corresponding participating user of the first participating terminal according to the first area information and the preset second area information corresponding to the target part.

2. The method according to claim 1, wherein before determining the video session participation degree of the participating user corresponding to the first participating terminal according to the first area information and the preset second area information corresponding to the target region, the method further comprises:

acquiring at least one participation distance, wherein each participation distance is the distance between a participation user acquired by the first participation terminal and a display screen of the first participation terminal;

according to each participation distance, calculating the area information of the target part corresponding to each participation distance, and determining the area information of the target part corresponding to each participation distance as the second area information.

3. The method according to claim 2, wherein the calculating the area information of the target portion corresponding to each engagement distance according to the each engagement distance comprises:

and calculating the area information of the target part corresponding to each participation distance according to each participation distance, a preset reference distance and the area information of the target part corresponding to the reference distance.

4. The method according to claim 1, wherein the determining the video session participation degree of the first participant terminal corresponding to the participant user according to the first area information and the preset second area information corresponding to the target area comprises:

and determining the video conversation participation according to the ratio of the first area information to the second area information.

5. The method of claim 1, further comprising:

if the video conversation participation degree of the target participation terminal corresponding to the target participation user is lower than a preset participation degree threshold value, sending first prompt information on the host terminal in the video conversation scene, wherein the first prompt information indicates the video conversation participation degree of the target participation user and is lower than the preset participation degree threshold value.

6. The method of claim 5, further comprising:

and sending second prompt information on the host terminal, wherein the second prompt information indicates a host user corresponding to the host terminal to execute corresponding operation aiming at the target participating user.

7. An engagement analysis apparatus for a video conversation scene, the apparatus comprising:

the first acquisition module is used for acquiring at least one participating image, and each participating image is an image acquired by a first participating terminal in the video conversation scene;

a first determining module, configured to determine first area information of a target portion in each of the participating images;

and the second determining module is used for determining the video conversation participation degree of the corresponding participating user of the first participating terminal according to the first area information and preset second area information corresponding to the target part.

8. The apparatus of claim 7, wherein the second determining module is preceded by:

the second acquisition module is used for acquiring at least one participation distance, and each participation distance is the distance between a participation user acquired by the first participation terminal and a display screen of the first participation terminal;

and the calculating module is used for calculating the area information of the target part corresponding to each participation distance according to each participation distance and determining the area information of the target part corresponding to each participation distance as the second area information.

9. An electronic device, comprising: a processor, a storage medium and a bus, the storage medium storing machine-readable instructions executable by the processor, the processor and the storage medium communicating via the bus when the electronic device is operating, the processor executing the machine-readable instructions to perform the steps of the method for analyzing engagement of a video conversation scene as claimed in any one of claims 1 to 6.

10. A storage medium having stored thereon a computer program for performing the steps of the method of analyzing engagement of a video conversation scene as claimed in any one of claims 1 to 6 when executed by a processor.

Technical Field

The present application relates to the field of video communication technologies, and in particular, to a method, an apparatus, a device, and a storage medium for analyzing participation in a video conversation scene.

Background

With the rapid development of electronic information technology and network technology, video communication technology has been widely applied, for example, video communication technology applied to video conferences in conferences and online classrooms in classes is popular in the current environment.

Generally, in a video conversation scene (such as a video conference and an online classroom), a host user (such as a host and a teacher) corresponding to a host terminal is taken as an active initiator of a communication process, and is very concerned about the participation degree of a participant user corresponding to a participant terminal in the video conversation scene.

Currently, a host user mainly checks a captured video image in a manual manner to determine whether a participant user is seriously participating in a video conversation scene. However, when the participation degree of the participating user in the video conversation scene is obtained in this way, not only the burden of the host user is increased, but also the accuracy of the obtained participation degree of the participating user is not high.

Disclosure of Invention

An object of the present application is to provide a method, an apparatus, a device and a storage medium for analyzing participation in a video session scene, which can not only reduce the burden of a host user, but also improve the accuracy of the obtained participation of a participating user.

In order to achieve the above purpose, the technical solutions adopted in the embodiments of the present application are as follows:

in a first aspect, an embodiment of the present application provides a method for analyzing engagement of a video conversation scene, where the method includes:

acquiring at least one participating image, wherein each participating image is an image acquired by a first participating terminal in the video conversation scene;

determining first area information of a target part in each participated image;

and determining the video conversation participation degree of the corresponding participating user of the first participating terminal according to the first area information and the preset second area information corresponding to the target part.

Optionally, before determining the video session participation degree of the user participating in the first participant terminal correspondingly according to the first area information and the preset second area information corresponding to the target location, the method further includes:

acquiring at least one participation distance, wherein each participation distance is the distance between a participation user acquired by the first participation terminal and a display screen of the first participation terminal;

according to each participation distance, calculating the area information of the target part corresponding to each participation distance, and determining the area information of the target part corresponding to each participation distance as the second area information.

Optionally, the calculating, according to each participation distance, area information of the target region corresponding to each participation distance includes:

and calculating the area information of the target part corresponding to each participation distance according to each participation distance, a preset reference distance and the area information of the target part corresponding to the reference distance.

Optionally, the determining, according to the first area information and second area information corresponding to the preset target region, a video session participation degree of a user who participates in the first participant terminal correspondingly includes:

and determining the video conversation participation according to the ratio of the first area information to the second area information.

Optionally, the method further comprises:

if the video conversation participation degree of the target participation terminal corresponding to the target participation user is lower than a preset participation degree threshold value, sending first prompt information on the host terminal in the video conversation scene, wherein the first prompt information indicates the video conversation participation degree of the target participation user and is lower than the preset participation degree threshold value.

Optionally, the method further comprises:

and sending second prompt information on the host terminal, wherein the second prompt information indicates a host user corresponding to the host terminal to execute corresponding operation aiming at the target participating user.

In a second aspect, an embodiment of the present application further provides an engagement analysis apparatus for a video conversation scene, where the apparatus includes:

the first acquisition module is used for acquiring at least one participating image, and each participating image is an image acquired by a first participating terminal in the video conversation scene;

a first determining module, configured to determine first area information of a target portion in each of the participating images;

and the second determining module is used for determining the video conversation participation degree of the corresponding participating user of the first participating terminal according to the first area information and preset second area information corresponding to the target part.

Optionally, before the second determining module, the apparatus further includes:

the second acquisition module is used for acquiring at least one participation distance, and each participation distance is the distance between a participation user acquired by the first participation terminal and a display screen of the first participation terminal;

and the calculating module is used for calculating the area information of the target part corresponding to each participation distance according to each participation distance and determining the area information of the target part corresponding to each participation distance as the second area information.

Optionally, the calculating module is specifically configured to calculate, according to each participation distance, a preset reference distance, and the area information of the target portion corresponding to the reference distance, the area information of the target portion corresponding to each participation distance.

Optionally, the second determining module is specifically configured to determine the video session participation degree according to a ratio of the first area information to the second area information.

Optionally, the apparatus further comprises:

and the prompting module is used for sending first prompting information on a host terminal in the video conversation scene if the video conversation participation degree of a target participant terminal corresponding to the target participant user is lower than a preset participation degree threshold value, wherein the first prompting information indicates the video conversation participation degree of the target participant user and is lower than the preset participation degree threshold value.

Optionally, the prompt module is further configured to send second prompt information on the host terminal, where the second prompt information indicates that a host user corresponding to the host terminal performs a corresponding operation on the target participating user.

In a third aspect, an embodiment of the present application provides an electronic device, including: the video conversation scene analysis method comprises a processor, a storage medium and a bus, wherein the storage medium stores machine-readable instructions executable by the processor, when the electronic device runs, the processor and the storage medium communicate through the bus, and the processor executes the machine-readable instructions to execute the steps of the participation degree analysis method of the video conversation scene in the first aspect.

In a fourth aspect, the present application provides a storage medium, where a computer program is stored on the storage medium, and the computer program is executed by a processor to perform the steps of the method for analyzing the engagement of a video conversation scene according to the first aspect.

The beneficial effect of this application is:

the embodiment of the application provides a participation degree analysis method, a participation degree analysis device, participation equipment and a storage medium for a video conversation scene, wherein the method comprises the following steps: acquiring at least one participating image, wherein each participating image is an image acquired by a first participating terminal in the video conversation scene; determining first area information of a target part in each participated image; and determining the video conversation participation degree of the first participating terminal corresponding to the participating user according to the first area information and the preset second area information corresponding to the target part. By adopting the participation degree analysis method of the video conversation scene provided by the embodiment of the application, the video conversation participation degree of each participant terminal corresponding to the participant user is determined by utilizing the first area information of the target part in each participant image and the preset second area information corresponding to the target part. Therefore, the situation that the participation terminal determines the video conversation participation degree of the corresponding participation user in the participation terminal in an artificial mode can be avoided, the burden of a host user can be reduced, and the acquired participation degree precision of the participation user can be improved.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained from the drawings without inventive effort.

Fig. 1 is a schematic flowchart of a method for analyzing participation in a video conversation scene according to an embodiment of the present disclosure;

fig. 2 is a schematic flowchart of another method for analyzing participation in a video conversation scene according to an embodiment of the present disclosure;

fig. 3 is a schematic flowchart of a method for analyzing participation in a video conversation scene according to another embodiment of the present application;

fig. 4 is a schematic structural diagram of an engagement analysis apparatus for a video conversation scene according to an embodiment of the present application;

fig. 5 is a schematic structural diagram of an engagement analysis apparatus for a video conversation scene according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an engagement analysis apparatus for a video conversation scene according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments.

Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures.

Fig. 1 is a schematic flowchart of a method for analyzing participation in a video conversation scene according to an embodiment of the present application, and as shown in fig. 1, the method may include:

s101, acquiring at least one participated image.

Each participating image is an image acquired by a first participating terminal in a video conversation scene, the video conversation scene can be a video conference scene or an online classroom scene and other scenes, and the specific type of the video conversation scene is not limited in the application.

Specifically, the number of the participating terminals may be multiple, such as the first participating terminal, the second participating terminal, the third participating terminal, and other participating terminals. Typically, one participant terminal corresponds to one participant user. In the embodiment of the application, the first participant terminal is taken as an example to describe the participation degree analysis method of the video conversation scene, and other participant terminals are similar to each other and are not explained again in the application. The first participating terminal can be a mobile terminal, such as a mobile phone, a tablet computer, a wearable device capable of video call and the like, or a fixed terminal, such as a desktop computer and the like. The present application does not limit the specific form of the first participant terminal. The participation video information of the participating user may be acquired by a capturing device installed on the first participating terminal, and then may be converted into a continuous participation image, wherein the capturing device may be a camera.

For example, a teacher is giving a class to 20 students through an online classroom APP (Application), a participating image of each student in class can be obtained through a participating terminal (e.g., a mobile phone) used by the student, and the obtained participating image can be transmitted to a server interacting with the online classroom APP, and the server can process the received participating image.

S102, determining first area information of the target part in each participated image.

Specifically, the participation video acquired by the acquisition device on the first participation terminal can be converted into continuous participation images according to a preset period, the preset period can be set according to actual requirements, for example, when a video conference is important, the preset period can be set to be shorter, so that the behavior of the participation user corresponding to the first participation terminal can be monitored in time. A plurality of participating images can be acquired from the continuous participating images, and each participating image is subjected to face recognition processing, so that a target part of the participating user in each participating image can be recognized, the target part is equivalent to a face region of the participating user, and of course, the target part may also include other head regions of the participating user. After the target part participating in the user in each participating image is identified, first area information of the target part participating in the user in each participating image can be respectively calculated, and the first area information can be the percentage of the target part in the participating image area or a specific area value.

S103, determining the video conversation participation degree of the user correspondingly participated in by the first participation terminal according to the first area information and the preset second area information corresponding to the target part.

Specifically, after first area information of a target part in each participating image is acquired, a plurality of first areas acquired when the participating user is located at the same position may be averaged to obtain averaged first area information, and then second area information corresponding to the target part preset at the position is called to obtain video conversation participation of the participating user corresponding to the first participating terminal; or averaging the obtained multiple first areas according to a preset period to obtain averaged first area information, and then combining second area information corresponding to a target part preset at an average position in the preset period to obtain the video conversation participation degree of the first participating terminal corresponding to the participating user; of course, the video session participation degree of the participating user corresponding to the first participating terminal may also be obtained according to the first area information of each participating image and the second area information corresponding to the preset target portion. Of course, the video session participation degree of the participating user corresponding to the first participating terminal may also be obtained by combining the first area information and the second area information in other manners. In general, regardless of the manner in which engagement is obtained, the participating user will exhibit different engagement levels for a period of time in the video conversation scenario.

To sum up, in the method for analyzing participation in a video conversation scene provided by the present application, the method includes: acquiring at least one participating image, wherein each participating image is an image acquired by a first participating terminal in the video conversation scene; determining first area information of a target part in each participated image; and determining the video conversation participation degree of the first participating terminal corresponding to the participating user according to the first area information and the preset second area information corresponding to the target part. By adopting the participation degree analysis method of the video conversation scene provided by the embodiment of the application, the video conversation participation degree of each participant terminal corresponding to the participant user is determined by utilizing the first area information of the target part in each participant image and the preset second area information corresponding to the target part. Therefore, the situation that the participation terminal determines the video conversation participation degree of the corresponding participation user in the participation terminal in an artificial mode can be avoided, the burden of a host user can be reduced, and the acquired participation degree precision of the participation user can be improved.

The following explains, with reference to the drawings, a procedure before determining the video session participation degree of the participating user corresponding to the first participating terminal according to the first area information and the second area information corresponding to the preset target region.

Fig. 2 is a schematic flowchart of another method for analyzing participation in a video conversation scene according to an embodiment of the present application, and as shown in fig. 2, the method may include:

s201, at least one participation distance is obtained, and each participation distance is the distance between a participation user acquired by the first participation terminal and a display screen of the first participation terminal.

Specifically, before the video session scene begins, the participating user may be arranged empirically at a plurality of locations, for example, three locations, location a, location B, and location C, within the capture device capture area of the first participating terminal. The distances, such as the distances L1, L2, L3, respectively, between the participant user and the display screen of the first participant terminal when the participant user is positioned at position a, position B, position C, respectively, looking up the display screen of the first participant terminal may be obtained using a distance sensor provided on the first participant terminal.

S202, calculating the area information of the target part corresponding to each participation distance according to each participation distance, and determining the area information of the target part corresponding to each participation distance as second area information.

Specifically, the acquisition device on the first participant terminal may acquire a test image of the participant user at each preset position, perform face recognition processing on the acquired test image to obtain a target portion on each test image, and may calculate area information of the target portion on each test image. That is, each participation distance has area information of the corresponding target region, and the participation distance and the corresponding area information may be stored in a key value manner, for example, the second area corresponding to L1 is a, the second area corresponding to L2 is b, and the second area corresponding to L3 is c, and in general, the larger the participation distance is, the smaller the corresponding second area value is.

Fig. 3 is a flowchart illustrating a method for analyzing engagement of a video conversation scene according to another embodiment of the present application, where as shown in fig. 3, the method may include:

s301, calculating the area information of the target part corresponding to each participation distance according to each participation distance, a preset reference distance and the area information of the target part corresponding to the reference distance.

Specifically, one of the distances between the participating user and the display screen of the first participating terminal, which is obtained by the distance sensor, may be used as a preset reference distance, the test image at the preset reference distance position is processed to obtain a target portion on the test image, and area information of the target portion corresponding to the reference distance may be calculated. The distance between the participating user and the display screen of the first participating terminal may be used as a preset reference distance, and the distance between the participating user and the display screen of the first participating terminal may also be used as a preset reference distance.

Optionally, determining the video session participation degree of the user correspondingly participated in by the first participant terminal according to the first area information and the second area information corresponding to the preset target region, including: and determining the video conversation participation according to the ratio of the first area information and the second area information.

Specifically, when the participating user is located at a position where the distance from the display screen of the first participating terminal is L1, the first area information of the target portion in the participating image captured by the capturing device on the first participating terminal may be determined, and when it is known that the participating user is located at a position where the distance from the display screen of the first participating terminal is L1, the second area information corresponding to the target portion on the test image of the display screen of the first participating terminal is looked up, and the participation degree of the participating user in the video session may be calculated by the following formula:

K＝N/M*100％

where K denotes the degree of participation, N denotes the first area information, and M denotes the second area information.

It should be noted that the participating user may show different participation degrees at different stages in the video session, and the first area information in different participating images and the second area information in different testing images may be substituted into the above calculation to obtain the participation degrees corresponding to the different stages.

Optionally, the method for analyzing the engagement of the video conversation scene may further include: if the video conversation participation degree of the target participation terminal corresponding to the target participation user is lower than a preset participation degree threshold value, first prompt information is sent out on the host terminal in the video conversation scene, and the first prompt information indicates the video conversation participation degree of the target participation user and is lower than the preset participation degree threshold value.

Specifically, the video session scene further includes a terminal initiating the video session scene, that is, a host terminal, when the video screen session is in progress, if a behavior action of a participating user corresponding to a certain participating terminal does not meet a requirement, such as a behavior action of largely leaning, raising, lowering, and the like, the video session participation of the participating user is lower than a preset participation threshold, at this time, the participating terminal is referred to as a target participating terminal, and a corresponding participating user is referred to as a target participating user. The preset participation threshold value can be set according to the nature of the video conversation scene, for example, if the importance degree of the content to be spoken in a certain video conversation is high, the corresponding participation threshold value can be set to be a little larger; for example, if the importance of the content to be spoken in a video session is relatively low, the corresponding engagement threshold may be set to be smaller.

When the participation user's video session participation is below a preset participation threshold, a video window shared by the participating user may be highlighted at the host terminal, such as the video window may be flashed or the video window may be displayed in a special area. And simultaneously, displaying first prompt information on the host terminal, wherein the first prompt information can enable a host user corresponding to the host terminal to know which participating users with insufficient concentration are available in real time. And second prompt information can be displayed on the host terminal, wherein the second prompt information indicates that a host user corresponding to the host terminal executes corresponding operation aiming at the target participant user. For example, the second prompt message may include a contact address of the target participating user, and the host user may contact the target participating user through the contact address to increase concentration of the target participating user, or the host user may send a message to remind the target participating user of the increase concentration through a dialog box with the target participating user. Therefore, large batch of participating users can be effectively supervised at the same time, and the labor cost in a video conversation scene is greatly saved.

On the basis of providing the above method for analyzing the participation degree of a video conversation scene, the present application also provides a device, an apparatus, and a storage medium capable of executing the method for analyzing the participation degree of a video conversation scene, which are explained below.

Fig. 4 is a schematic structural diagram of an apparatus for analyzing engagement in a video conversation scene according to an embodiment of the present application, and as shown in fig. 4, the apparatus may include:

a first obtaining module 401, configured to obtain at least one participating image;

a first determining module 402, configured to determine first area information of a target portion in each of the participating images;

a second determining module 403, configured to determine, according to the first area information and second area information corresponding to a preset target location, a video session participation degree of a participant corresponding to the first participant terminal.

Fig. 5 is a schematic structural diagram of another apparatus for analyzing participation in a video conversation scene according to an embodiment of the present application, and as shown in fig. 5, the apparatus may include:

a second obtaining module 501, configured to obtain at least one participation distance, where each participation distance is a distance between a participating user acquired by the first participating terminal and a display screen of the first participating terminal;

a calculating module 502, configured to calculate, according to each participation distance, area information of the target portion corresponding to each participation distance, and determine that the area information of the target portion corresponding to each participation distance is second area information.

Optionally, the calculating module 502 is specifically configured to calculate area information of the target portion corresponding to each participating distance according to each participating distance, a preset reference distance, and area information of the target portion corresponding to the reference distance.

Optionally, the second determining module 403 is specifically configured to determine the video session participation degree according to a ratio of the first area information and the second area information.

Fig. 6 is a schematic structural diagram of an apparatus for analyzing engagement in a video conversation scene according to an embodiment of the present application, and as shown in fig. 6, the apparatus may further include:

the prompt module 601 is configured to send a first prompt message on the host terminal in the video session scene if the video session participation of the target participant terminal corresponding to the target participant user is lower than a preset participation threshold, where the first prompt message indicates that the video session participation of the target participant user is lower than the preset participation threshold.

Optionally, the prompt module 601 is further configured to issue a second prompt message on the host terminal, where the second prompt message indicates that a host user corresponding to the host terminal performs a corresponding operation on the target participating user.

The above-mentioned apparatus is used for executing the method provided by the foregoing embodiment, and the implementation principle and technical effect are similar, which are not described herein again.

These above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), among others. For another example, when one of the above modules is implemented in the form of a processing element scheduler code, the processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor capable of calling program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

Fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 7, the electronic device may include: the video conversation scene analysis method comprises a processor 701, a storage medium 702 and a bus 703, wherein the storage medium 702 stores machine-readable instructions executable by the processor 701, when the electronic device runs, the processor 701 communicates with the storage medium 702 through the bus 703, and the processor 701 executes the machine-readable instructions to execute the steps of the participation analysis method of the video conversation scene. The specific implementation and technical effects are similar, and are not described herein again.

Optionally, the present application further provides a storage medium, where a computer program is stored on the storage medium, and the computer program is executed by a processor to perform the steps of the method for analyzing the engagement of the video conversation scene.

In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. Alternatively, the indirect coupling or communication connection of devices or units may be electrical, mechanical or other.

The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.

In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.

The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device) or a processor (processor) to perform some steps of the methods according to the embodiments of the present application. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.