Video conference control method, system and storage medium

Abstract

The present invention provides a control method, system and storage medium for video conferencing, including: obtaining a first target parameter and a second target parameter for configuring a conference process, wherein the first target parameter and the second target parameter have a corresponding relationship; collecting a first real-time parameter and a second real-time parameter of a conference room for processing to obtain parameter feedback data of the first real-time parameter and the second real-time parameter; determining a parameter deviation value based on the first target parameter, the second target parameter and the parameter feedback data; inputting the parameter deviation value into a preset prediction model to obtain a parameter adjustment amount at the next moment; and performing parameter control on the conference process at the next moment based on the parameter adjustment amount. The present invention greatly reduces the influence of small change control on conference process control, realizes precise control and stable control of the conference process, and at the same time greatly improves the timeliness of conference process control and the experience of participants and viewers.

Description

Technical Field

[0001] The present invention relates to the technical field of conference control, and in particular to a control method, system and storage medium for a video conference. Background Art

[0002] In the process of enterprise operation, irreparable consequences are often caused by information opacity. Many problems require collaboration among personnel of relevant functions, which usually requires setting up corresponding communication and coordination meetings. Among them, video conferencing relies on offline meetings, and some participants need to receive the content of offline meetings through terminals.

[0003] Publication No. CN202410674262.X discloses a conference control method and a conference control system, an electronic device, and a storage medium, which are applied to a conference control system. The conference control system includes a client, a server, a target server for communication between the client and the server, and one or more conference terminals connected to the target server. The method includes: during the target conference, after the client detects that the server disconnects the heartbeat connection, the client uses the first communication protocol for communication between the server and the target server to generate a flow adjustment instruction, and sends the flow adjustment instruction to the target server; the target server adjusts the flow of the one or more conference terminals according to the flow adjustment instruction. During the target conference, after the client detects that the server disconnects the heartbeat connection, the client uses the first communication protocol for communication between the server and the target server to generate a flow adjustment instruction, and sends the flow adjustment instruction to the target server; then the target server adjusts the flow of one or more conference terminals according to the flow adjustment instruction, thereby avoiding conference interruption when the server disconnects the heartbeat connection.

[0004] Traditional video conferencing control systems are unable to process the content of offline meetings and directly transfer all offline meeting content to the terminal, which results in poor meeting control effects. In addition, when people express themselves or conference room equipment have abnormalities during offline meetings, these abnormal conditions will all be displayed through the terminal, which will lead to a poor experience for participants and viewers. Summary of the Invention

[0005] (1) Technical problems solved

[0006] In view of the deficiencies in the prior art, the present invention provides a method, system and storage medium for controlling a video conference to solve the problems raised in the above background technology.

[0007] (2) Technical solution

[0008] To achieve the above objectives, the present invention is implemented through the following technical solutions: A method for controlling a video conference, comprising:

[0009] Acquire a first target parameter and a second target parameter for configuring a conference process, where the first target parameter and the second target parameter have a corresponding relationship;

[0010] Collecting a first real-time parameter and a second real-time parameter of the conference room and processing them to obtain parameter feedback data of the first real-time parameter and the second real-time parameter;

[0011] determining a parameter deviation value based on the first target parameter, the second target parameter, and the parameter feedback data;

[0012] Input the parameter deviation value into a preset prediction model to obtain the parameter adjustment value at the next moment;

[0013] Based on the parameter adjustment amount, the conference process is parameter-controlled at the next moment.

[0014] As a preference of this embodiment, the first target parameter includes the first target parameter including participant information and conference room equipment, and the second target parameter includes participant data and conference room equipment working parameters.

[0015] As a preferred embodiment of the present invention, the first real-time parameter and the second implementation parameter of the conference room are collected and processed to obtain parameter feedback data of the first real-time parameter and the second implementation parameter, including:

[0016] Inputting a plurality of data of the first real-time parameter and the second real-time parameter into a corresponding analysis module;

[0017] The plurality of data of the first real-time parameter and the second real-time parameter are matched one by one, and the matched first parameter and second parameter are comprehensively analyzed to obtain parameter feedback data.

[0018] As a preferred embodiment of this invention, the process of establishing the prediction model includes:

[0019] Get the first and second parameters of several completed meetings;

[0020] Extracting and processing feature points on the first and second parameters to obtain a processing result;

[0021] Correspondingly associating the processing results of the first parameter and the second parameter, and constructing a feature association model based on the association results;

[0022] Verifying the first parameter and the second parameter based on the feature association model, and determining verification results of the first parameter and the second parameter;

[0023] The prediction model is constructed according to the verification results and based on a deep learning algorithm.

[0024] As a preferred embodiment of this invention, a video conferencing control system includes:

[0025] An acquiring unit, configured to acquire conference data, the conference data including first target parameters and second target parameters for configuring a conference process and first real-time parameters and second real-time parameters of a conference room for processing;

[0026] a comprehensive processing unit, configured to process the first real-time parameter and the second real-time parameter of the conference room, obtain parameter feedback data of the first real-time parameter and the second real-time parameter, and determine a parameter deviation value based on the first target parameter, the second target parameter, and the parameter feedback data;

[0027] A prediction and adjustment unit, configured to input the parameter deviation value into a preset prediction model to obtain a parameter adjustment amount at the next moment, and perform parameter control on the conference process at the next moment based on the parameter adjustment amount;

[0028] The execution unit is used to display the corresponding screen of the conference process on the participating terminal according to the conference process information, the result of parameter control and the preset configuration information.

[0029] As a preferred embodiment of this embodiment, the first target parameter includes the first target parameter and the first real-time parameter including the participant information and the conference room equipment, the second target parameter and the second real-time parameter include the participant data and the conference room equipment working parameters, the first target parameter and the second target parameter have a corresponding relationship, and the first real-time parameter and the second real-time parameter have a corresponding relationship.

[0030] As a preferred embodiment of the present invention, the first real-time parameter and the second implementation parameter of the conference room are collected and processed to obtain parameter feedback data of the first real-time parameter and the second implementation parameter, including:

[0031] Inputting a plurality of data of the first real-time parameter and the second real-time parameter into a corresponding analysis module;

[0032] The plurality of data of the first real-time parameter and the second real-time parameter are matched one by one, and the matched first parameter and second parameter are comprehensively analyzed to obtain parameter feedback data.

[0033] As a preferred embodiment of this invention, the process of establishing the prediction model includes:

[0034] Get the first and second parameters of several completed meetings;

[0035] Extracting and processing feature points on the first and second parameters to obtain a processing result;

[0036] Correspondingly associating the processing results of the first parameter and the second parameter, and constructing a feature association model based on the association results;

[0037] Verifying the first parameter and the second parameter based on the feature association model, and determining verification results of the first parameter and the second parameter;

[0038] The prediction model is constructed according to the verification results and based on a deep learning algorithm.

[0039] As a preference of this embodiment, the execution unit includes:

[0040] The receiving module is used to connect to the conference room equipment and receive data collected by the conference room equipment;

[0041] The switching module is used to connect to an external terminal, display the audio and video of the meeting on an electronic device controlled by the external terminal, and adjust the audio and video of the meeting displayed on the electronic device based on the meeting process after adjusting the parameters.

[0042] As a preference of this embodiment, a computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above-mentioned video conference control method.

[0043] (3) Beneficial effects

[0044] The present invention provides a control method, system and storage medium for video conferencing, which have the following beneficial effects: by obtaining the first target parameter and the second target parameter of the meeting, and simultaneously collecting the first real-time parameter and the second implementation parameter of the conference room, through parameter matching and screening, the location where changes occur in the conference process can be accurately determined, and most of the data related to the meeting can be filtered out, thereby greatly reducing the impact of small change control on conference process control, realizing precise and stable control of the conference process, and greatly improving the timeliness of conference process control and the experience of participants and viewers. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 is a flow chart of a method for controlling a video conference according to the present invention;

[0046] Figure 2 This is a framework diagram of the video conferencing control system of the present invention. DETAILED DESCRIPTION

[0047] The embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and are not to be construed as limiting the present invention.

[0048] The disclosure below provides many different embodiments or examples for realizing different structures of the present invention. In order to simplify the disclosure of the present invention, the components and settings of specific examples are described below. Of course, they are merely examples and are not intended to limit the present invention. In addition, the present invention may repeat reference numbers and / or reference letters in different examples. Such repetition is for the purpose of simplicity and clarity and does not in itself indicate the relationship between the various embodiments and / or settings discussed. In addition, the present invention provides examples of various specific processes and materials, but those skilled in the art will recognize the application of other processes and / or the use of other materials.

[0049] like Figure 1 As shown, an embodiment of the present invention provides a method for controlling a video conference, including:

[0050] S1: Acquire a first target parameter and a second target parameter for configuring a conference process, where the first target parameter and the second target parameter have a corresponding relationship;

[0051] In an embodiment of the present application, obtaining the first target parameter includes first target parameters including participant information and conference room equipment, and the second target parameters include participant data and conference room equipment operating parameters.

[0052] The first target parameter includes information about participants and related equipment in the conference room, and the second target parameter includes data about participants and working parameters of related equipment in the conference room. When an operation is performed on the specific first target parameter, the second target parameter can be obtained.

[0053] It should be noted that the personnel information specifically includes the names and occupations of the participants, and the personnel data specifically includes the appearance, voice, and volume of the person's voice. The relevant equipment in the conference room includes microphones, projectors, sensors, lights, etc. The working parameters of the relevant equipment in the conference room specifically include the parameters of the microphones, projectors, sensors, lights and other equipment when they are working, such as the volume of the microphone and the brightness of the lights.

[0054] S2: collecting and processing first and second real-time parameters of the conference room to obtain parameter feedback data of the first and second real-time parameters;

[0055] In an embodiment of the present application, processing the collected first real-time parameter and the second implementation parameter of the conference room to obtain parameter feedback data of the first real-time parameter and the second implementation parameter includes:

[0056] Inputting a plurality of data of the first real-time parameter and the second real-time parameter into a corresponding analysis module;

[0057] The plurality of data of the first real-time parameter and the second real-time parameter are matched one by one, and the matched first parameter and second parameter are comprehensively analyzed to obtain parameter feedback data.

[0058] Specifically, when a meeting is in progress, there are many first real-time parameter items, and the number of second real-time parameters corresponding to each first real-time parameter increases exponentially. In the process of collecting the first real-time parameters and the second real-time parameters through sensors, multiple sets of data can be collected in a very short time. The first real-time parameters and the second real-time parameters collected at the same time are matched, and the matched first real-time parameters and the second real-time parameters are analyzed to obtain parameter feedback data.

[0059] Furthermore, analyzing the first real-time parameter and the second real-time parameter after matching at the same moment includes: comparing and analyzing the first real-time parameter and the second real-time parameter matched at the same moment with the first real-time parameter and the second real-time parameter matched at the previous moment, and determining the first real-time parameter and the second real-time parameter that have experienced parameter fluctuations. The present application matches and compares people or objects related to the meeting, and can accurately determine the first real-time parameter and the second real-time parameter that have changed, can effectively filter the first real-time parameter and the second real-time parameter that have less fluctuations during the meeting, and can also effectively understand the changes in the first real-time parameter and the second real-time parameter.

[0060] Among them, screening out small changes that do not affect the meeting process can reduce the control and adjustment occupation of the conference control system by small changes.

[0061] For example, if a participant did not speak at the previous moment but spoke at the time of collection, it can be determined that the participant has undergone significant changes in real time.

[0062] The first real-time parameter and the second real-time parameter have the same content concepts as the first target parameter and the second target parameter. The first real-time parameter and the second real-time parameter are specifically corresponding parameters of the current conference.

[0063] S3: determining a parameter deviation value based on the first target parameter, the second target parameter, and the parameter feedback data;

[0064] In an embodiment of the present application, the first target parameter and the second target parameter are matched and analyzed to obtain parameter target data, which is compared with the deviation of the parameter feedback data after matching the first real-time parameter and the second real-time parameter to obtain a parameter deviation value.

[0065] S4: Inputting the parameter deviation value into a preset prediction model to obtain the parameter adjustment value at the next moment;

[0066] In an embodiment of the present application, the process of establishing a prediction model includes:

[0067] Get the first and second parameters of several completed meetings;

[0068] Extracting and processing feature points on the first and second parameters to obtain a processing result;

[0069] Correspondingly associating the processing results of the first parameter and the second parameter, and building a feature association model based on the association results;

[0070] Verifying the first parameter and the second parameter based on the feature association model, and determining verification results of the first parameter and the second parameter;

[0071] The prediction model is constructed according to the verification results and based on a deep learning algorithm.

[0072] Furthermore, the first parameter and the second parameter have the same content concepts as the first target parameter and the second target parameter, and the first parameter and the second parameter are specifically corresponding parameters of the completed meeting.

[0073] S5: Based on the parameter adjustment amount, parameter control is performed on the conference process at the next moment.

[0074] In the embodiment of the present application, the parameter adjustment amount is specifically the parameter adjustment amount of each device in the conference room, and the conference room equipment is used to create a good conference environment.

[0075] Specifically, the video conferencing control method of the present application obtains the first target parameter and the second target parameter of the meeting, and simultaneously collects the first real-time parameter and the second implementation parameter of the conference room. Through parameter matching and screening, it can accurately determine the location where changes occur in the conference process, and at the same time filter out most of the data related to the meeting, thereby greatly reducing the impact of minor changes on the control of the conference process, realizing precise and stable control of the conference process, and greatly improving the timeliness of the conference process control and the experience of participants and viewers.

[0076] The present application also provides a video conferencing control system, comprising:

[0077] An acquiring unit, configured to acquire conference data, the conference data including first target parameters and second target parameters for configuring a conference process and first real-time parameters and second real-time parameters of a conference room for processing;

[0078] a comprehensive processing unit, configured to process the first real-time parameter and the second real-time parameter of the conference room, obtain parameter feedback data of the first real-time parameter and the second real-time parameter, and determine a parameter deviation value based on the first target parameter, the second target parameter, and the parameter feedback data;

[0079] A prediction and adjustment unit, configured to input the parameter deviation value into a preset prediction model to obtain a parameter adjustment amount at the next moment, and perform parameter control on the conference process at the next moment based on the parameter adjustment amount;

[0080] The execution unit is used to display the corresponding screen of the conference process on the participating terminal according to the conference process information, the result of parameter control and the preset configuration information.

[0081] Furthermore, the first target parameter includes the first target parameter and the first real-time parameter includes the participant information and conference room equipment, the second target parameter and the second real-time parameter include the participant data and conference room equipment working parameters, the first target parameter and the second target parameter have a corresponding relationship, and the first real-time parameter and the second real-time parameter have a corresponding relationship.

[0082] Furthermore, the first real-time parameter and the second implementation parameter of the conference room are collected and processed to obtain parameter feedback data of the first real-time parameter and the second implementation parameter, including:

[0083] Inputting a plurality of data of the first real-time parameter and the second real-time parameter into a corresponding analysis module;

[0084] The plurality of data of the first real-time parameter and the second real-time parameter are matched one by one, and the matched first parameter and second parameter are comprehensively analyzed to obtain parameter feedback data.

[0085] Furthermore, the process of establishing the prediction model includes:

[0086] Get the first and second parameters of several completed meetings;

[0087] Extracting and processing feature points on the first and second parameters to obtain a processing result;

[0088] Correspondingly associating the processing results of the first parameter and the second parameter, and building a feature association model based on the association results;

[0089] Verifying the first parameter and the second parameter based on the feature association model, and determining verification results of the first parameter and the second parameter;

[0090] The prediction model is constructed according to the verification results and based on a deep learning algorithm.

[0091] Furthermore, the execution unit includes:

[0092] The receiving module is used to connect to the conference room equipment and receive data collected by the conference room equipment;

[0093] The switching module is used to connect to an external terminal, display the audio and video of the meeting on an electronic device controlled by the external terminal, and adjust the audio and video of the meeting displayed on the electronic device based on the meeting process after adjusting the parameters.

[0094] In the embodiment of the present application, the execution unit will share the conference live to the external terminal that joins the conference, and display and play the conference in real time.

[0095] Furthermore, when the conference process is displayed through an external terminal, the displayed conference process includes an overall conference image of the conference room, an image of the conference host, and an image of the speaker in the conference, wherein the three groups of images are displayed on the same screen.

[0096] The functions of each unit in the control system of the video conference of the present application can be realized by the above method, so the workflow and beneficial effects of each unit in the control system of the video conference of the present application will not be repeated.

[0097] This embodiment also provides a computer-readable storage medium, wherein the storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the above-mentioned video conference control method.

[0098] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for controlling a video conference, characterized in that: include: Acquire a first target parameter and a second target parameter for configuring a conference process, where the first target parameter and the second target parameter have a corresponding relationship; Collecting a first real-time parameter and a second real-time parameter of the conference room and processing them to obtain parameter feedback data of the first real-time parameter and the second real-time parameter; determining a parameter deviation value based on the first target parameter, the second target parameter, and the parameter feedback data; Input the parameter deviation value into a preset prediction model to obtain the parameter adjustment value at the next moment; Based on the parameter adjustment amount, parameter control is performed on the conference process at the next moment; The first target parameters include participant information and conference room equipment, and the second target parameters include participant data and conference room equipment operating parameters; The first real-time parameter and the second real-time parameter have the same content concepts as the first target parameter and the second target parameter. The first real-time parameter and the second real-time parameter are specifically corresponding parameters of the current conference.

2. The video conferencing control method according to claim 1, wherein: The collecting and processing of the first real-time parameter and the second real-time parameter of the conference room to obtain parameter feedback data of the first real-time parameter and the second real-time parameter includes: Inputting a plurality of data of the first real-time parameter and the second real-time parameter into a corresponding analysis module; The plurality of data of the first real-time parameter and the second real-time parameter are matched one by one, and the matched first parameter and second parameter are comprehensively analyzed to obtain parameter feedback data.

3. The video conference control method according to claim 1, wherein: The process of establishing the prediction model includes: Get the first and second parameters of several completed meetings; Extracting and processing feature points on the first and second parameters to obtain a processing result; Correspondingly associating the processing results of the first parameter and the second parameter, and constructing a feature association model based on the association results; Verifying the first parameter and the second parameter based on the feature association model, and determining verification results of the first parameter and the second parameter; The prediction model is constructed according to the verification results and based on a deep learning algorithm.

4. A video conferencing control system, characterized by: include: An acquiring unit, configured to acquire conference data, wherein the conference data includes a first target parameter and a second target parameter for configuring a conference process and a first real-time parameter and a second real-time parameter for a conference room; a comprehensive processing unit, configured to process the first real-time parameter and the second real-time parameter of the conference room, obtain parameter feedback data of the first real-time parameter and the second real-time parameter, and determine a parameter deviation value based on the first target parameter, the second target parameter, and the parameter feedback data; A prediction and adjustment unit, configured to input the parameter deviation value into a preset prediction model to obtain a parameter adjustment amount at the next moment, and perform parameter control on the conference process at the next moment based on the parameter adjustment amount; The execution unit is used to display the corresponding screen of the conference process on the participating terminals according to the conference process information, the result of parameter control and the preset configuration information; The first target parameters include participant information and conference room equipment, and the second target parameters include participant data and conference room equipment operating parameters; The first real-time parameter and the second real-time parameter have the same content concepts as the first target parameter and the second target parameter. The first real-time parameter and the second real-time parameter are specifically corresponding parameters of the current conference.

5. A video conferencing control system according to claim 4, characterized in that: There is a corresponding relationship between the first target parameter and the second target parameter, and there is a corresponding relationship between the first real-time parameter and the second real-time parameter.

6. A video conferencing control system according to claim 4, characterized in that: The first real-time parameter and the second real-time parameter of the conference room are collected and processed to obtain parameter feedback data of the first real-time parameter and the second real-time parameter, including: Inputting a plurality of data of the first real-time parameter and the second real-time parameter into a corresponding analysis module; The plurality of data of the first real-time parameter and the second real-time parameter are matched one by one, and the matched first parameter and second parameter are comprehensively analyzed to obtain parameter feedback data.

7. The video conferencing control system according to claim 4, characterized in that: The process of establishing the prediction model includes: Get the first and second parameters of several completed meetings; Extracting and processing feature points on the first and second parameters to obtain a processing result; Correspondingly associating the processing results of the first parameter and the second parameter, and constructing a feature association model based on the association results; Verifying the first parameter and the second parameter based on the feature association model, and determining verification results of the first parameter and the second parameter; The prediction model is constructed according to the verification results and based on a deep learning algorithm.

8. The video conferencing control system according to claim 4, characterized in that: The execution unit includes: The receiving module is used to connect to the conference room equipment and receive data collected by the conference room equipment; The switching module is used to connect to an external terminal, display the audio and video of the meeting on an electronic device controlled by the external terminal, and adjust the audio and video of the meeting displayed on the electronic device based on the meeting process after adjusting the parameters.

9. A computer-readable storage medium, characterized in that: The storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the video conference control method according to any one of claims 1 to 3.

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