Intelligent multi-video conference resource scheduling method and system

Abstract

The present invention relates to the technical field related to resource scheduling management of online conferences, and discloses an intelligent multi-video conference resource scheduling method and system. By performing real-time participation status monitoring on multiple conference objects in the conference, the priority of effective information actually required to be transmitted by different conference objects is judged, so as to perform allocation and scheduling of limited conference communication total resources, and for conference objects that have not output actual effective information within a certain period of time, down-coding synchronization of conference synchronization information is performed to reduce the occupation of communication bandwidth resources when their information is synchronized to other conference object ends, thereby optimizing the multi-video conference solution and improving the stability of information transmission in the conference.

Description

Technical Field

[0001] The present invention relates to the technical field related to resource scheduling management of online conferences, and specifically to an intelligent multi-video conference resource scheduling method and system. Background Art

[0002] Online video conferencing is an efficient solution that can ignore the physical distance between multiple remote parties and enable them to hold conferences and communicate at the same time. Most video conferencing is based on the Internet, so the quality of the Internet communication resources where the multiple parties in the video conferencing are located also determines or limits the quality of the video conferencing to a certain extent.

[0003] In the prior art, when conducting video conferencing, the basic network communication logic is usually adopted, that is, the video and voice information of two or more parties are synchronized through the network. However, when there are many participants in the meeting, the limited network cannot maintain good communication quality while synchronizing data transmission for many participants, resulting in extremely unstable transmission efficiency and conference freezes. Summary of the invention

[0004] The purpose of the present invention is to provide an intelligent multi-video conference resource scheduling method and system to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] An intelligent multi-video conference resource scheduling method, comprising:

[0007] Obtaining a conference access request, and performing identity authentication on the conference object based on the conference access request. If the identity authentication is successful, establishing and correspondingly allocating a schedulable object resource channel based on the total conference communication bandwidth;

[0008] Perform real-time dynamic monitoring on multiple conference objects, and generate corresponding object conference state data, wherein the object conference state data includes object action state data and object voice state data, which are used to represent the body expression and language expression of the conference objects respectively;

[0009] The meeting state data of the object is judged, and the available resources of the object resource channel are scheduled according to the dynamic data volume of the body expression and language expression of the meeting object, and the dynamic data volume is proportional to the available resources of the object resource channel;

[0010] Based on the available resources of the object resource channel, the participation status data of the conference object is downcoded to generate low-throughput object data, and the low-throughput object data is forwarded and synchronized through the object resource channel. The downcoding is used to characterize the data processing process of reducing information density.

[0011] As a further solution of the present invention, the step of reducing the code of the object action state data and assisting in restoring the data further includes:

[0012] When allocating the object resource channel, collect and extract the biological appearance features of the conference object, synchronize the biological appearance features through the object resource channel, the biological appearance features are used to represent the image information of the physical appearance of the conference object, and include multiple action matching nodes, the action matching nodes are used to represent the corresponding change points of the biological appearance features when the expression and action of the conference object change;

[0013] When the available data resources of the object resource channel are less than the security communication requirement value, the real-time action status data of the conference object action matching node is acquired through the action tracking program monitoring, and the real-time action status data is synchronized through the object resource channel;

[0014] The action state data is obtained, and AI fitting is performed based on the biological appearance features to generate and output a virtual object animation synchronized with the conference object.

[0015] As a further solution of the present invention: it also includes the steps of:

[0016] Performing a data communication test on the object resource channel to obtain communication status data of the current object resource channel, wherein the communication status data is used to characterize changes in the communication peak state within a period of time;

[0017] A peak short board judgment is performed based on the communication status data to generate a communication judgment result of the object resource channel, wherein the communication judgment result includes a minimum peak value and an average peak value.

[0018] As a further solution of the present invention: it also includes a bandwidth scheduling and division step, specifically including:

[0019] Performing basic communication judgment on the lowest peak value of the object resource channel, if the lowest peak value is greater than the sum of the data flux per unit time of the object voice state data and the real-time action state data, scheduling and dividing the object resource channel according to the sum of the data flux per unit time, for allocation and establishment of a basic communication fixed channel;

[0020] If the minimum peak value is less than the sum of the data flux per unit time of the object voice state data and the real-time action state data, a downcoding ratio is set for the object voice state data, the sum of the data flux per unit time at the low bit rate is obtained, and a basic communication fixed channel is allocated;

[0021] The remaining bandwidth difference between the average peak value and the sum of the data flux per unit time is calculated, and the remaining bandwidth difference is used to allocate and establish an image transmission channel.

[0022] As a further solution of the present invention: it also includes the steps of:

[0023] Recording the object's meeting status data and the virtual object animation in real time to establish a meeting live record;

[0024] When a virtual object animation is performed at the output position of a time period meeting, the virtual object animation and the object action state data are compared. When the virtual object animation and the object action state data are inconsistent, an asynchronous mark is generated to mark the corresponding time node of the live recording of the meeting.

[0025] The embodiment of the present invention aims to provide an intelligent multi-video conference resource scheduling system, comprising:

[0026] The object access verification module is used to obtain a conference access request, authenticate the identity of the conference object based on the conference access request, and if the identity is passed, establish and allocate a schedulable object resource channel based on the total conference communication bandwidth;

[0027] The object conference monitoring module is used to perform real-time dynamic monitoring of multiple conference objects and generate corresponding object conference state data, wherein the object conference state data includes object action state data and object voice state data, which are used to characterize the body expression and language expression of the conference objects respectively;

[0028] A conference attendance status judgment module is used to judge the conference attendance status data of the object, and schedule the available resources of the object resource channel according to the dynamic data volume of the body expression and language expression of the conference object, and the dynamic data volume is proportional to the available resources of the object resource channel;

[0029] The conference data collaboration module is used to perform code reduction processing on the conference object's participation status data based on the available resources of the object resource channel to generate low-throughput object data, and forward and synchronize the low-throughput object data through the object resource channel. The code reduction processing is used to characterize the data processing process of reducing information density.

[0030] As a further solution of the present invention: it also includes a low-pass code reduction auxiliary module, specifically including:

[0031] A feature matching unit, used to collect and extract the biological appearance features of the conference object when allocating the object resource channel, and synchronize the biological appearance features through the object resource channel, wherein the biological appearance features are used to represent the image information of the physical appearance of the conference object, and include a plurality of action matching nodes, wherein the action matching nodes are used to represent the corresponding change points of the biological appearance features when the expression and action of the conference object change;

[0032] An auxiliary determination unit, configured to, when the available data resources of the object resource channel are less than the security communication requirement value, monitor and obtain the real-time action status data of the conference object action matching node through the action tracking program, and synchronize the real-time action status data through the object resource channel;

[0033] The auxiliary collaboration unit is used to obtain the action state data, perform AI fitting based on the biological appearance features, generate and output a virtual object animation synchronized with the conference object.

[0034] As a further solution of the present invention: it also includes a channel communication test module, specifically including:

[0035] A communication test unit, used to perform a data communication test on the object resource channel, and obtain communication status data of the current object resource channel, wherein the communication status data is used to characterize the change of the communication peak state within a period of time;

[0036] The channel determination unit is used to perform peak short board determination based on the communication status data to generate a communication determination result of the object resource channel, wherein the communication determination result includes a minimum peak value and an average peak value.

[0037] As a further solution of the present invention: it also includes a channel allocation module, specifically including:

[0038] A basic judgment unit, used for performing basic communication judgment on the minimum peak value of the object resource channel, and if the minimum peak value is greater than the sum of the data flux per unit time of the object voice state data and the real-time action state data, scheduling and dividing the object resource channel according to the sum of the data flux per unit time, for allocating and establishing a basic communication fixed channel;

[0039] A code reduction judgment unit, configured to set a code reduction ratio for the target voice state data if the lowest peak value is less than the sum of the data flux per unit time of the target voice state data and the real-time action state data, obtain the sum of the data flux per unit time at a low code rate, and allocate a basic communication fixed channel;

[0040] The surplus allocation unit is used to calculate the surplus bandwidth difference between the average peak value and the sum of the data flux per unit time, and the surplus bandwidth difference is used to allocate and establish an image transmission channel.

[0041] As a further solution of the present invention: it also includes a record evaluation module;

[0042] The recording evaluation module is used to record the object participation status data and the virtual object animation in real time to establish a live record of the meeting; when the output position virtual object animation of the time period meeting is compared with the object action status data, when the virtual object animation and the object action status data are inconsistent, an asynchronous mark is generated to mark the corresponding time node of the live record of the meeting.

[0043] Compared with the prior art, the beneficial effects of the present invention are: by performing real-time participation status monitoring on multiple conference objects in the conference, the priority of effective information that different conference objects actually need to transmit is judged, so as to allocate and schedule limited total conference communication resources, and for conference objects that have not output actual effective information within a certain period of time, down-coding synchronization of conference synchronization information is performed to reduce the occupation of communication bandwidth resources when their information is synchronized to other conference object ends, thereby optimizing the multi-video conferencing solution and improving the stability of information transmission in the meeting. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 The present invention is a flowchart of an intelligent multi-video conference resource scheduling method.

[0045] Figure 2 The present invention is a flowchart of data communication test steps in an intelligent multi-video conference resource scheduling method.

[0046] Figure 3 The present invention is a flowchart of the bandwidth scheduling division steps in an intelligent multi-video conference resource scheduling method.

[0047] Figure 4 The figure is a block diagram of an intelligent multi-video conference resource scheduling system. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solution and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0049] The specific implementation of the present invention is described in detail below in conjunction with specific embodiments.

[0050] like Figure 1 The intelligent multi-video conference resource scheduling method provided by one embodiment of the present invention comprises the following steps:

[0051] S10, obtaining a conference access request, and performing identity authentication on the conference object based on the conference access request. If the identity authentication is successful, a schedulable object resource channel is established and allocated accordingly based on the total conference communication bandwidth;

[0052] S20, performing real-time dynamic monitoring on multiple conference subjects, and generating corresponding subject conference status data, wherein the subject conference status data includes subject action status data and subject voice status data, which are used to represent the body expression and language expression of the conference subjects respectively;

[0053] S30, judging the meeting state data of the object, and scheduling the available resources of the object resource channel according to the dynamic data volume of the body expression and language expression of the meeting object, wherein the dynamic data volume is proportional to the available resources of the object resource channel;

[0054] S40, down-coding the conference object's participation status data based on the available resources of the object resource channel to generate low-throughput object data, and forward and synchronize the low-throughput object data through the object resource channel, wherein the down-coding is used to characterize a data processing process that reduces information density.

[0055] In this embodiment, an intelligent multi-video conference resource scheduling method is provided. By monitoring the participation status of multiple conference objects in the conference in real time, the priority of effective information that different conference objects actually need to transmit is determined, so as to allocate and schedule the total resources of limited conference communication. For conference objects that have not output actual effective information within a certain period of time, the conference synchronization information is down-coded to reduce the occupation of communication bandwidth resources when its information is synchronized to other conference object ends, thereby optimizing the multi-video conference solution and improving the stability of information transmission in the conference. In the prior art, when conducting a video conference, the basic network communication logic is usually adopted, that is, the video and voice information of two or more parties are synchronized through the network, and in this process, the user can also limit the transmission quality according to the quality of his own network. However, when there are many conference participants, the actual use effect of this method will be greatly reduced. The limited network cannot maintain the data transmission speed while synchronizing the data transmission of more participants. Good communication quality, so either the quality of conference transmission video and audio is low, or the conference transmission efficiency is extremely unstable, resulting in conference jams; the method adopted in this embodiment is to perform real-time dynamic monitoring of conference objects, because although there are a large number of conference objects participating in the meeting, in most of the time, only a few of them are giving speeches and interacting in the meeting. Therefore, by monitoring the conference objects, it is determined whether they are speaking or expressing themselves physically. If they are speaking or expressing themselves physically, it indicates that they are the main information output personnel of the meeting at the current time. The schedulable resources of the video conference are tilted to their corresponding data channels to ensure that their video and voice data can be synchronously transmitted between other users with high quality and stability. For other conference objects, because their video and voice tracks do not contain conference content with certain value, the information bit rate of the video and voice information tracks generated by their meetings is reduced to reduce their communication bandwidth occupancy during the transmission process, and reserve more information communication resource channels for the main information output personnel.

[0056] As another preferred embodiment of the present invention, the step of reducing the code of the object action state data and auxiliary restoration is also included, specifically including:

[0057] When allocating the object resource channel, collect and extract the biological appearance features of the conference object, synchronize the biological appearance features through the object resource channel, the biological appearance features are used to represent the image information of the physical appearance of the conference object, and include multiple action matching nodes, the action matching nodes are used to represent the corresponding change points of the biological appearance features when the expression and action of the conference object change;

[0058] When the available data resources of the object resource channel are less than the security communication requirement value, the real-time action status data of the conference object action matching node is acquired through the action tracking program monitoring, and the real-time action status data is synchronized through the object resource channel;

[0059] The action state data is obtained, and AI fitting is performed based on the biological appearance features to generate and output a virtual object animation synchronized with the conference object.

[0060] In this embodiment, the steps of downscaling and auxiliary restoration of the object action state data are supplemented, and the same-effect better processing scheme for the downscaling step is used. Compared with downscaling, it can be applicable to scenarios with more conference objects or worse conference networks. Its AI-based character action fitting is implemented. When conference participants join the meeting, the biometric features of the conference objects are obtained, including visual feature expressions such as facial features. After that, only the action of the task is tracked to obtain the corresponding action decomposition data (i.e., real-time action state data). The amount of data in transmission is very small, so the data transmission can be completed with a small amount of communication bandwidth occupied. When the data is received at the other end, the real-time action state data is fitted according to the biometric features to generate a video image of the virtual conference object synthesized by AI.

[0061] like Figure 2 As shown, as another preferred embodiment of the present invention, it also includes the steps of:

[0062] S51, performing a data communication test on the object resource channel to obtain communication status data of the current object resource channel, wherein the communication status data is used to characterize changes in the communication peak state within a period of time;

[0063] S52, performing peak short board judgment based on the communication status data, and generating a communication judgment result of the object resource channel, wherein the communication judgment result includes a minimum peak value and an average peak value.

[0064] In this embodiment, because the actual conditions of the communication channels of different conference objects are different in different conference time periods, in order to carry out reasonable and effective scheduling management, it is necessary to judge the actual channel efficiency of each object resource channel, which mainly includes the judgment of the supportable data bandwidth of the shortest stable communication in long-term communication and the judgment of the range of the average stable data bandwidth. The supportable data bandwidth (lowest peak value) of the shortest stable communication means that when the unit time flux of the data is at or below this value, it is absolutely stable and will not cause communication jams (when there are no other occupying processes).

[0065] like Figure 3As shown, as another preferred embodiment of the present invention, it also includes a bandwidth scheduling and division step, specifically including:

[0066] S61, performing basic communication judgment on the lowest peak value of the object resource channel, if the lowest peak value is greater than the sum of the data flux per unit time of the object voice state data and the real-time action state data, scheduling and dividing the object resource channel according to the sum of the data flux per unit time, for allocation and establishment of a basic communication fixed channel;

[0067] S62, if the minimum peak value is less than the sum of the data flux per unit time of the target voice state data and the real-time action state data, setting a downcoding ratio for the target voice state data, obtaining the sum of the data flux per unit time at the low bit rate, and allocating a basic communication fixed channel;

[0068] S63, calculating the remaining bandwidth difference between the average peak value and the sum of the data flux per unit time, wherein the remaining bandwidth difference is used to allocate and establish an image transmission channel.

[0069] In this embodiment, the scheduling and allocation scheme of communication resources is further limited. In a meeting, language communication is the main way to transmit information. Therefore, it is necessary to first ensure the stable transmission of the object voice status data, that is, the sound track. Combined with the judgment of the minimum peak value and the average peak value in the previous embodiment, it can be understood that as long as the data volume of the sound track is transmitted within the bandwidth limit of the minimum peak value, it will be stable during the transmission process. Therefore, data downcoding is used to enable the data of the sound track to be completely completed under the minimum peak value, and the corresponding amount of object resource channels are scheduled and divided, and fixedly allocated to the object voice status data for its transmission.

[0070] As another preferred embodiment of the present invention, the steps are also included:

[0071] Recording the object's meeting status data and the virtual object animation in real time to establish a meeting live record;

[0072] When a virtual object animation is performed at the output position of a time period meeting, the virtual object animation and the object action state data are compared. When the virtual object animation and the object action state data are inconsistent, an asynchronous mark is generated to mark the corresponding time node of the live recording of the meeting.

[0073] In this embodiment, the step of recording the meeting is supplemented. Therefore, due to the limitation of communication resources, some data in the meeting cannot be effectively transmitted and recorded. Therefore, it is necessary to record it in full and compare it with the AI ​​fitting data to evaluate and judge the AI ​​fitting part. The content with deviations in the fitting is marked to facilitate processing and verification after the meeting.

[0074] like Figure 4 As shown, the present invention also provides an intelligent multi-video conference resource scheduling system, which includes:

[0075] The object access verification module 100 is used to obtain a conference access request, and authenticate the identity of the conference object based on the conference access request. If the identity is authenticated, a schedulable object resource channel is established and allocated accordingly based on the total conference communication bandwidth;

[0076] The object conference monitoring module 200 is used to perform real-time dynamic monitoring of multiple conference objects and generate corresponding object conference state data, wherein the object conference state data includes object action state data and object voice state data, which are used to represent the body expression and language expression of the conference object respectively;

[0077] The conference attendance status judgment module 300 is used to judge the conference attendance status data of the object, and schedule the available resources of the object resource channel according to the dynamic data volume of the body expression and language expression of the conference object, and the dynamic data volume is proportional to the available resources of the object resource channel;

[0078] The conference data collaboration module 400 is used to downcode the conference object's participation status data based on the available resources of the object resource channel to generate low-throughput object data, and forward and synchronize the low-throughput object data through the object resource channel. The downcoding is used to characterize the data processing process of reducing information density.

[0079] As another preferred embodiment of the present invention, a low-pass code reduction auxiliary module is also included, specifically including:

[0080] A feature matching unit, used to collect and extract the biological appearance features of the conference object when allocating the object resource channel, and synchronize the biological appearance features through the object resource channel, wherein the biological appearance features are used to represent the image information of the physical appearance of the conference object, and include a plurality of action matching nodes, wherein the action matching nodes are used to represent the corresponding change points of the biological appearance features when the expression and action of the conference object change;

[0081] An auxiliary determination unit, configured to, when the available data resources of the object resource channel are less than the security communication requirement value, monitor and obtain the real-time action status data of the conference object action matching node through the action tracking program, and synchronize the real-time action status data through the object resource channel;

[0082] The auxiliary collaboration unit is used to obtain the action state data, perform AI fitting based on the biological appearance features, generate and output a virtual object animation synchronized with the conference object.

[0083] As another preferred embodiment of the present invention, it also includes a channel communication test module, specifically including:

[0084] A communication test unit, used to perform a data communication test on the object resource channel, and obtain communication status data of the current object resource channel, wherein the communication status data is used to characterize the change of the communication peak state within a period of time;

[0085] The channel determination unit is used to perform peak short board determination based on the communication status data to generate a communication determination result of the object resource channel, wherein the communication determination result includes a minimum peak value and an average peak value.

[0086] As another preferred embodiment of the present invention, it also includes a channel allocation module, specifically including:

[0087] A basic judgment unit, used for performing basic communication judgment on the minimum peak value of the object resource channel, and if the minimum peak value is greater than the sum of the data flux per unit time of the object voice state data and the real-time action state data, scheduling and dividing the object resource channel according to the sum of the data flux per unit time, for allocating and establishing a basic communication fixed channel;

[0088] A code reduction judgment unit, configured to set a code reduction ratio for the target voice state data if the lowest peak value is less than the sum of the data flux per unit time of the target voice state data and the real-time action state data, obtain the sum of the data flux per unit time at a low code rate, and allocate a basic communication fixed channel;

[0089] The surplus allocation unit is used to calculate the surplus bandwidth difference between the average peak value and the sum of the data flux per unit time, and the surplus bandwidth difference is used to allocate and establish an image transmission channel.

[0090] As another preferred embodiment of the present invention, it also includes a record evaluation module;

[0091] The recording evaluation module is used to record the object participation status data and the virtual object animation in real time to establish a live record of the meeting; when the output position virtual object animation of the time period meeting is compared with the object action status data, when the virtual object animation and the object action status data are inconsistent, an asynchronous mark is generated to mark the corresponding time node of the live record of the meeting.

[0092] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0093] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the disclosure in the specification and examples. This application is intended to cover any variations, uses or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the claims.

[0094] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. An intelligent multi-video conference resource scheduling method, characterized in that: Include: Obtaining a conference access request, and performing identity authentication on the conference object based on the conference access request. If the identity authentication is successful, establishing and correspondingly allocating a schedulable object resource channel based on the total conference communication bandwidth; Perform real-time dynamic monitoring on multiple conference objects, and generate corresponding object conference state data, wherein the object conference state data includes object action state data and object voice state data, which are used to represent the body expression and language expression of the conference objects respectively; The meeting state data of the object is judged, and the available resources of the object resource channel are scheduled according to the dynamic data volume of the body expression and language expression of the meeting object, and the dynamic data volume is proportional to the available resources of the object resource channel; Based on the available resources of the object resource channel, the conference object's participation status data is downcoded to generate low-throughput object data, and the low-throughput object data is forwarded and synchronized through the object resource channel, wherein the downcoding is used to characterize a data processing process that reduces information density; It also includes the steps of downscaling and auxiliary recovery of the object action state data, specifically including: When allocating the object resource channel, collect and extract the biological appearance features of the conference object, synchronize the biological appearance features through the object resource channel, the biological appearance features are used to represent the image information of the physical appearance of the conference object, and include multiple action matching nodes, the action matching nodes are used to represent the corresponding change points of the biological appearance features when the expression and action of the conference object change; When the available data resources of the object resource channel are less than the security communication requirement value, the real-time action status data of the conference object action matching node is acquired through the action tracking program monitoring, and the real-time action status data is synchronized through the object resource channel; Acquire the action state data, perform AI fitting based on the biological appearance features, generate and output a virtual object animation synchronized with the conference object; Also includes the steps: Performing a data communication test on the object resource channel to obtain communication status data of the current object resource channel, wherein the communication status data is used to characterize changes in the communication peak state within a period of time; Perform peak short board judgment based on the communication status data to generate a communication judgment result of the object resource channel, wherein the communication judgment result includes a minimum peak value and an average peak value; It also includes bandwidth scheduling and division steps, including: Performing basic communication judgment on the lowest peak value of the object resource channel, if the lowest peak value is greater than the sum of the data flux per unit time of the object voice state data and the real-time action state data, scheduling and dividing the object resource channel according to the sum of the data flux per unit time, for allocation and establishment of a basic communication fixed channel; If the minimum peak value is less than the sum of the data flux per unit time of the object voice state data and the real-time action state data, a downcoding ratio is set for the object voice state data, the sum of the data flux per unit time at the low bit rate is obtained, and a basic communication fixed channel is allocated; The remaining bandwidth difference between the average peak value and the sum of the data flux per unit time is calculated, and the remaining bandwidth difference is used to allocate and establish an image transmission channel.

2. The intelligent multi-video conference resource scheduling method according to claim 1, characterized in that: Also includes the steps: Recording the object's meeting status data and the virtual object animation in real time to establish a meeting live record; When a virtual object animation is performed at the output position of a time period meeting, the virtual object animation and the object action state data are compared. When the virtual object animation and the object action state data are inconsistent, an asynchronous mark is generated to mark the corresponding time node of the live recording of the meeting.

3. An intelligent multi-video conference resource scheduling system, characterized in that: Include: The object access verification module is used to obtain a conference access request, authenticate the identity of the conference object based on the conference access request, and if the identity is passed, establish and allocate a schedulable object resource channel based on the total conference communication bandwidth; The object conference monitoring module is used to perform real-time dynamic monitoring of multiple conference objects and generate corresponding object conference state data, wherein the object conference state data includes object action state data and object voice state data, which are used to characterize the body expression and language expression of the conference objects respectively; A conference attendance status judgment module is used to judge the conference attendance status data of the object, and schedule the available resources of the object resource channel according to the dynamic data volume of the body expression and language expression of the conference object, and the dynamic data volume is proportional to the available resources of the object resource channel; A conference data collaboration module, configured to perform code reduction processing on the conference object's conference status data based on the available resources of the object resource channel to generate low-throughput object data, and forward and synchronize the low-throughput object data through the object resource channel, wherein the code reduction processing is used to characterize a data processing process that reduces information density; It also includes low-pass code reduction auxiliary modules, including: A feature matching unit, used to collect and extract the biological appearance features of the conference object when allocating the object resource channel, and synchronize the biological appearance features through the object resource channel, wherein the biological appearance features are used to represent the image information of the physical appearance of the conference object, and include a plurality of action matching nodes, wherein the action matching nodes are used to represent the corresponding change points of the biological appearance features when the expression and action of the conference object change; An auxiliary determination unit, configured to, when the available data resources of the object resource channel are less than the security communication requirement value, monitor and obtain the real-time action status data of the conference object action matching node through the action tracking program, and synchronize the real-time action status data through the object resource channel; An auxiliary collaboration unit, used to obtain the action state data, perform AI fitting based on the biological appearance features, generate and output a virtual object animation synchronized with the conference object; It also includes channel communication test modules, including: A communication test unit, used to perform a data communication test on the object resource channel, and obtain communication status data of the current object resource channel, wherein the communication status data is used to characterize the change of the communication peak state within a period of time; A channel determination unit, configured to perform peak short board determination based on the communication status data, and generate a communication determination result of the object resource channel, wherein the communication determination result includes a minimum peak value and an average peak value; It also includes a channel allocation module, specifically including: A basic judgment unit, used for performing basic communication judgment on the minimum peak value of the object resource channel, and if the minimum peak value is greater than the sum of the data flux per unit time of the object voice state data and the real-time action state data, scheduling and dividing the object resource channel according to the sum of the data flux per unit time, for allocating and establishing a basic communication fixed channel; A code reduction judgment unit, configured to set a code reduction ratio for the target voice state data if the lowest peak value is less than the sum of the data flux per unit time of the target voice state data and the real-time action state data, obtain the sum of the data flux per unit time at a low code rate, and allocate a basic communication fixed channel; The surplus allocation unit is used to calculate the surplus bandwidth difference between the average peak value and the sum of the data flux per unit time, and the surplus bandwidth difference is used to allocate and establish an image transmission channel.

4. The intelligent multi-video conference resource scheduling system according to claim 3, characterized in that: Also included is a record assessment module; The recording evaluation module is used to record the object participation status data and the virtual object animation in real time to establish a live record of the meeting; when the output position virtual object animation of the time period meeting is compared with the object action status data, when the virtual object animation and the object action status data are inconsistent, an asynchronous mark is generated to mark the corresponding time node of the live record of the meeting.

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