A terminal access method of a video conference system

CN116095264BActive Publication Date: 2026-09-22HUANENG INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202211628242.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-12-17
Publication Date
2026-09-22
Estimated Expiration
2042-12-17

AI Technical Summary

Technical Problem

[0005]本发明提供一种视频会议系统的终端接入方法,用以解决现有技术中终端接入不可靠的技术问题

Benefits of technology

[0028]通过应用以上技术方案,建立视频会议终端正常接入状态下的马尔科夫模型,建立视频会议终端异常接入状态下的马尔科夫模型,根据视频会议终端正常接入状态下的马尔科夫模型和视频会议终端异常接入状态下的马尔科夫模型得到调控率和衰减率,根据调控率和衰减率得到视频会议终端接入异常频率;获取视频会议的多元影响因素,根据多元影响因素得到多元影响因素对应得分,根据多元影响因素对应得分确定综合接入质量评分,根据综合接入质量评分修正视频会议终端接入异常频率;获取视频会议终端接入异常时的经济成本,根据修正后的视频会议终端接入异常频率修正视频会议终端接入异常时的经济成本;获取视频会议的价格成本因素,根据价格成本因素建立目标函数,根据修正后的视频会议终端接入异常时的经济成本修正目标函数,根据修正后的目标函数控制或调节终端接入方式。本申请通过马尔科夫模型确定接入异常频率,根据综合质量评分修正接入异常频率,根据接入异常频率修正接入异常造成的成本损失,从而修正目标函数,选择最优接入方式。提高了接入方式确定的可靠性,得到综合考量后的成本最优的接入方式,保证视频会议稳定进行。

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Abstract

The application discloses a terminal access method of a video conference system, relates to the technical field of video conference terminal access, and establishes a Markov model under a normal access state of a video conference terminal, a Markov model under an abnormal access state of the video conference terminal, and an abnormal access frequency of the video conference terminal; obtains multiple influence factors of the video conference, determines a comprehensive access quality score according to corresponding scores of the multiple influence factors, corrects the abnormal access frequency of the video conference terminal according to the comprehensive access quality score, corrects an economic cost when the video conference terminal is abnormally accessed according to the corrected abnormal access frequency of the video conference terminal, establishes an objective function according to a price cost factor, corrects the objective function according to the corrected economic cost when the video conference terminal is abnormally accessed, and controls terminal access according to the corrected objective function. The reliability of the determined access mode is improved, the access mode with the optimal cost after comprehensive consideration is obtained, and the video conference is ensured to be stably performed.
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Description

Technical Field

[0001] This application relates to the field of video conferencing terminal access technology, and more specifically, to a terminal access method for a video conferencing system. Background Technology

[0002] Video conferencing refers to meetings where people in two or more locations conduct face-to-face conversations via communication devices and networks. Depending on the number of participating locations, video conferencing can be divided into point-to-point meetings and multi-point meetings. Individuals in daily life, without requirements on the security of the conversation content, meeting quality, or meeting size, can use video software such as Tencent QQ for video chat. However, business video conferences held by government agencies and enterprises require stable and secure networks, reliable meeting quality, and a formal meeting environment, necessitating the use of professional video conferencing equipment and the establishment of dedicated video conferencing systems. Because such video conferencing systems all use a television for display, they are also called video conferencing or video conferencing.

[0003] There are many ways for video conferencing terminals to access the network. In existing technologies, the terminal network access method is often selected based solely on requirements, rather than taking into account factors such as video conferencing quality and network environment.

[0004] Therefore, how to improve the reliability of the access method determination is a technical problem that needs to be solved. Summary of the Invention

[0005] This invention provides a terminal access method for a video conferencing system to solve the technical problem of unreliable terminal access in the prior art. The method includes:

[0006] Establish a Markov model for the normal access state of the video conferencing terminal and a Markov model for the abnormal access state of the video conferencing terminal. Based on the Markov models for the normal access state and the abnormal access state of the video conferencing terminal, obtain the modulation rate and attenuation rate. Based on the modulation rate and attenuation rate, obtain the abnormal access frequency of the video conferencing terminal.

[0007] The system acquires multiple influencing factors of video conferencing, obtains scores for each factor, determines the overall access quality score based on these scores, and corrects the frequency of abnormal access to video conferencing terminals based on the overall access quality score.

[0008] Obtain the economic cost when a video conferencing terminal access is abnormal, and adjust the economic cost when a video conferencing terminal access is abnormal based on the corrected frequency of abnormal video conferencing terminal access.

[0009] Obtain the price cost factors of video conferencing, establish an objective function based on the price cost factors, revise the objective function based on the economic cost of abnormal video conferencing terminal access, and control or adjust the terminal access method based on the revised objective function.

[0010] In some embodiments of this application, multiple influencing factors of video conferencing are obtained, and scores corresponding to these multiple influencing factors are obtained, including:

[0011] Multiple influencing factors include video quality factors, which include the bit rate, frame rate, and resolution of the video stream;

[0012] The bitrate, frame rate, and resolution of the video stream are obtained. A first weight is determined based on the bitrate, frame rate, and resolution of the video stream and a first preset weight table. A video quality score is determined based on the bitrate, frame rate, resolution, and the first weight of the video stream.

[0013] In some embodiments of this application, multiple influencing factors of video conferencing are obtained, and scores corresponding to these multiple influencing factors are obtained, including:

[0014] Multiple influencing factors include network service factors, which include QoS scores;

[0015] Obtain the QoS score, build a subjective evaluation table based on the subjective evaluation and the QoS score, and correct the QoS score based on the subjective evaluation table to obtain the network service score.

[0016] In some embodiments of this application, multiple influencing factors of video conferencing are obtained, and scores corresponding to these multiple influencing factors are obtained, including:

[0017] Multiple influencing factors include safety and protection factors;

[0018] Multiple security protection factors are acquired, quantified, and then a security protection score is obtained based on preset weights.

[0019] In some embodiments of this application, multiple influencing factors of video conferencing are obtained, and scores corresponding to these multiple influencing factors are obtained, including:

[0020] Multiple influencing factors include scalability factors;

[0021] Multiple scalability factors are acquired, quantified, and then a scalability score is obtained based on preset weights.

[0022] In some embodiments of this application, a comprehensive access quality score is determined based on the scores corresponding to multiple influencing factors, including:

[0023] The comprehensive access quality score is obtained based on video quality score, network service score, security protection score, scalability score, and corresponding preset weights.

[0024] In some embodiments of this application, after determining the comprehensive access quality score based on the scores corresponding to multiple influencing factors, the method further includes:

[0025] The overall access quality score is adjusted based on video quality score, network service score, security protection score, scalability score, and a preset corresponding score table.

[0026] In some embodiments of this application, an objective function is established based on price and cost factors, including:

[0027] Based on the price and cost factors of different access methods, objective functions for different access methods are established, forming a set of objective functions.

[0028] By applying the above technical solutions, a Markov model is established for both normal and abnormal access states of video conferencing terminals. Based on these models, the modulation rate and attenuation rate are obtained, and the abnormal access frequency is calculated. Multiple influencing factors of video conferencing are acquired, and their corresponding scores are determined. A comprehensive access quality score is then established based on these scores, and the abnormal access frequency is adjusted accordingly. The economic cost of abnormal access is also obtained, and this cost is further adjusted based on the corrected abnormal access frequency. Finally, the price cost factor of video conferencing is identified, and an objective function is established based on this factor. This objective function is then adjusted based on the corrected economic cost of abnormal access, and the terminal access method is controlled or adjusted based on the adjusted objective function. This application uses a Markov model to determine the abnormal access frequency, adjusts the frequency based on the comprehensive quality score, and corrects the cost loss caused by abnormal access based on the abnormal access frequency, thereby refining the objective function and selecting the optimal access method. This improves the reliability of the access method selection, yields the most cost-effective access method after comprehensive consideration, and ensures stable video conferencing. Attached Figure Description

[0029] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0030] Figure 1 The diagram shows a flowchart of a terminal access method for a video conferencing system according to an embodiment of the present invention. Detailed Implementation

[0031] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0032] This application provides a terminal access method for a video conferencing system, such as... Figure 1 As shown, the method includes the following steps:

[0033] Step S101: Establish a Markov model for the normal access state of the video conferencing terminal and a Markov model for the abnormal access state of the video conferencing terminal. Obtain the modulation rate and attenuation rate based on the Markov models for the normal access state and the abnormal access state of the video conferencing terminal. Obtain the abnormal access frequency of the video conferencing terminal based on the modulation rate and attenuation rate.

[0034] In this embodiment, under ideal conditions, the access status of a video conferencing terminal will gradually decline due to certain fixed factors. The change from the Markov model under normal access conditions to the Markov model under abnormal access conditions (fixed influence) is used to obtain the attenuation rate based on the parameters of the change process. The change from the Markov model under abnormal access conditions to the Markov model under normal access conditions (self-regulation, such as bandwidth control) is used to obtain the regulation rate based on the parameters of the change process. The abnormal access frequency of the video conferencing terminal is obtained based on the regulation rate and the attenuation rate. The regulation rate is set to λ, the attenuation rate to μ, and the abnormal access frequency is...

[0035] Step S102: Obtain the multiple influencing factors of the video conference, obtain the corresponding scores of the multiple influencing factors, determine the comprehensive access quality score based on the corresponding scores of the multiple influencing factors, and correct the abnormal access frequency of the video conference terminal based on the comprehensive access quality score.

[0036] In this embodiment, the main factors considered for the video conferencing system are: audio and video quality, system price, system security and scalability, and QoS network service. A comprehensive access quality score is determined based on these factors. The abnormal access frequency of video conferencing terminals is then corrected based on the comprehensive access quality score, specifically as follows:

[0037] Set the overall access quality score as Z, and preset the overall access quality score array Z0(Z1, Z2, Z3, Z4), where Z1, Z2, Z3, and Z4 are all preset values, and Z1 < Z2 < Z3 < Z4.

[0038] A preset access anomaly frequency correction coefficient array Q01(Q11, Q12, Q13, Q14) is provided, where Q11, Q12, Q13, and Q14 are all preset values, and 0.8 < Q11 < Q12 < Q13 < Q14 < 1.2.

[0039] Based on the relationship between the comprehensive access quality score and the preset comprehensive access quality score, an access anomaly frequency correction coefficient is determined, and the access anomaly frequency is corrected.

[0040] If Z < Z1, determine the first preset access anomaly frequency correction coefficient Q11 as the access anomaly frequency correction coefficient, and the corrected access anomaly frequency is f*Q11.

[0041] If Z1≤Z<Z2, determine the second preset access anomaly frequency correction coefficient Q12 as the access anomaly frequency correction coefficient, and the corrected access anomaly frequency is f*Q12.

[0042] If Z2≤Z<Z3, determine the third preset access anomaly frequency correction coefficient Q13 as the access anomaly frequency correction coefficient, and the corrected access anomaly frequency is f*Q13.

[0043] If Z3≤Z<Z4, the fourth preset access anomaly frequency correction coefficient Q14 is determined as the access anomaly frequency correction coefficient, and the corrected access anomaly frequency is f*Q14.

[0044] To improve the accuracy of the evaluation, in some embodiments of this application, multiple influencing factors of the video conference are obtained, and scores corresponding to the multiple influencing factors are obtained, including: the multiple influencing factors include video quality factors, which include the bit rate, frame rate, and resolution of the video stream; the bit rate, frame rate, and resolution of the video stream are obtained, a first weight is determined based on the bit rate, frame rate, and resolution of the video stream and a first preset weight table, and a video quality score is determined based on the bit rate, frame rate, and resolution of the video stream and the first weight.

[0045] In this embodiment, video quality is reflected by parameters such as bitrate, frame rate, and resolution of the video stream. Each interval in the first preset weight table has a different weight for bitrate, frame rate, and resolution. The weights of the three are determined according to the magnitude of their own parameters, thereby obtaining a video quality score.

[0046] To improve the accuracy of the assessment, in some embodiments of this application, multiple influencing factors of the video conference are obtained, and scores corresponding to the multiple influencing factors are obtained, including: the multiple influencing factors include network service factors, and the network service factors include QoS scores; the QoS scores are obtained, a subjective evaluation table is established based on subjective evaluation and QoS scores, and the QoS scores are corrected based on the subjective evaluation table to obtain network service scores.

[0047] In this embodiment, the QoS score only represents the objective service score and does not take into account the influence of subjective factors. The subjective score corresponding to each QoS score range is determined by methods such as questionnaire surveys and expert evaluations, and a subjective evaluation table is established based on this to correct the QoS score.

[0048] The specific correction process is as follows:

[0049] Set the subjective rating to A, and preset the subjective rating array A0(A1, A2, A3, A4), where A1, A2, A3, and A4 are all preset values, and A1 < A2 < A3 < A4;

[0050] Set the QoS score to S, and preset the QoS score correction coefficient array Q02(Q21, Q22, Q23, Q24), where Q21, Q22, Q23, and Q24 are all preset values, and 0.8 < Q21 < Q22 < Q23 < Q24 < 1.2;

[0051] Based on the relationship between subjective scores and various preset subjective scores, a QoS score correction coefficient is determined, and the QoS score is corrected accordingly.

[0052] If A < A1, determine the first preset QoS score correction coefficient Q21 as the QoS score correction coefficient, and the corrected QoS score is S*Q21;

[0053] If A1≤A<A2, determine the second preset QoS score correction coefficient Q22 as the QoS score correction coefficient, and the corrected QoS score is S*Q22;

[0054] If A2≤A<A3, determine the third preset QoS score correction coefficient Q23 as the QoS score correction coefficient, and the corrected QoS score is S*Q23;

[0055] If A3≤A<A4, determine the fourth preset QoS score correction coefficient Q24 as the QoS score correction coefficient, and the corrected QoS score is S*Q24.

[0056] To improve the accuracy of the assessment, in some embodiments of this application, multiple influencing factors of the video conference are obtained, and scores corresponding to the multiple influencing factors are obtained, including: multiple influencing factors include security protection factors; multiple security protection factors are obtained, quantified, and security protection scores are obtained according to preset weights after quantification.

[0057] In this embodiment, security protection factors include terminal layer protection, transport layer protection, and service layer protection. Terminal layer protection includes factors such as security software, encryption devices, and digital certificates. These security protection factors are quantified. A security protection score is obtained based on preset weights.

[0058] To improve the accuracy of the assessment, in some embodiments of this application, multiple influencing factors of the video conference are obtained, and scores corresponding to the multiple influencing factors are obtained, including: the multiple influencing factors include scalability factors; multiple scalability factors are obtained, quantified, and scalability scores are obtained according to preset weights after quantification.

[0059] In this embodiment, scalability is also an important metric for evaluating video conferencing systems, and it is also scored accordingly.

[0060] To further improve the accuracy of the assessment, in some embodiments of this application, a comprehensive access quality score is determined based on the scores corresponding to multiple influencing factors, including: obtaining a comprehensive access quality score based on video quality score, network service score, security protection score, scalability score and corresponding preset weights.

[0061] In this embodiment, the preset weight is a fixed weight, which represents the importance of each part of the score in the total score.

[0062] To further improve the accuracy of the assessment, in some embodiments of this application, after determining the comprehensive access quality score based on the scores corresponding to multiple influencing factors, the method further includes: correcting the comprehensive access quality score based on the video quality score, network service score, security protection score, scalability score, and a preset corresponding score table.

[0063] In this embodiment, if a certain part of the score is too high, it indicates that its impact on the total score has become too large, and it needs to be corrected accordingly. A preset score table is used to set correction coefficients for different score ranges of each part, and the overall access quality score is corrected based on these correction coefficients.

[0064] Step S103: Obtain the economic cost when the video conferencing terminal access is abnormal, and correct the economic cost when the video conferencing terminal access is abnormal based on the corrected frequency of video conferencing terminal access abnormality.

[0065] In this embodiment, the economic losses caused by abnormal access to the video conferencing terminal are obtained. The frequency of abnormal access will affect this loss to a certain extent, and corrections are made accordingly. Specifically:

[0066] Set the corrected access anomaly frequency as B, and preset the access anomaly frequency array B0(B1, B2, B3, B4), where B1, B2, B3, and B4 are all preset values, and B1 < B2 < B3 < B4.

[0067] Set the economic cost as L, and preset the economic cost correction coefficient array Q03(Q31, Q32, Q33, Q34), where Q31, Q32, Q33, and Q34 are all preset values, and 0.8 < Q31 < Q32 < Q33 < Q34 < 1.2;

[0068] Based on the relationship between the abnormal access frequency and each preset abnormal access frequency, an economic cost correction coefficient is determined and used to make corrections.

[0069] If B < B1, determine the first preset economic cost correction coefficient Q31 as the economic cost correction coefficient, and the corrected economic cost is L*Q31.

[0070] If B1≤B<B2, determine the second preset economic cost correction coefficient Q32 as the economic cost correction coefficient, and the corrected economic cost is L*Q32;

[0071] If B2≤B<B3, determine the third preset economic cost correction coefficient Q33 as the economic cost correction coefficient, and the corrected economic cost is L*Q33;

[0072] If B3≤B<B4, the fourth preset economic cost correction coefficient Q34 is determined as the economic cost correction coefficient, and the corrected economic cost is L*Q34.

[0073] Step S104: Obtain the price cost factors of video conferencing, establish an objective function based on the price cost factors, correct the objective function based on the economic cost of abnormal video conferencing terminal access, and control or adjust the terminal access method based on the corrected objective function.

[0074] In this embodiment, the cost factors for video conferencing usage and control (excluding costs in case of access failure) are obtained. Different access methods incur different costs; therefore, a corresponding objective function is established for each access method. Access methods include ISDN, DDN, PSTN, etc.

[0075] The objective function is the total cost incurred by different access methods of the video conferencing system.

[0076] C = k1C1 + k2C2 + ... + knCn

[0077] Where C1 is the economic cost of the first type of factor, k1 is the loss coefficient corresponding to the first type of factor, and so on.

[0078] The objective function is revised based on the revised economic cost of video conferencing terminal access anomalies, specifically as follows:

[0079] Set the corrected economic cost when the video conferencing terminal access is abnormal to D, and preset the economic cost array D0(D1, D2, D3, D4), where D1, D2, D3, and D4 are all preset values, and D1 < D2 < D3 < D4.

[0080] The preset objective function has a correction coefficient array Q04(Q41, Q42, Q43, Q44), where Q41, Q42, Q43, and Q44 are preset values, and 0.8 < Q41 < Q42 < Q43 < Q44 < 1.2.

[0081] Based on the relationship between economic costs and various preset economic costs, determine the correction coefficient of the objective function and correct it accordingly;

[0082] If D < D1, determine the correction coefficient Q41 of the first preset objective function as the correction coefficient of the objective function, and the corrected objective function is C*Q41;

[0083] If D1≤D<D2, determine the correction coefficient Q42 of the second preset objective function as the correction coefficient of the objective function, and the corrected objective function is C*Q42;

[0084] If D2≤D<D3, determine the correction coefficient Q43 of the third preset objective function as the correction coefficient of the objective function, and the corrected objective function is C*Q43;

[0085] If D3≤D<D4, determine the correction coefficient Q44 of the fourth preset objective function as the correction coefficient of the objective function, and the corrected objective function is C*Q44.

[0086] In some embodiments of this application, an objective function is established based on price and cost factors, including:

[0087] Based on the price and cost factors of different access methods, objective functions for different access methods are established, forming a set of objective functions.

[0088] By applying the above technical solutions, a Markov model is established for both normal and abnormal access states of video conferencing terminals. Based on these models, the modulation rate and attenuation rate are obtained, and the abnormal access frequency is calculated. Multiple influencing factors of video conferencing are acquired, and their corresponding scores are determined. A comprehensive access quality score is then established based on these scores, and the abnormal access frequency is adjusted accordingly. The economic cost of abnormal access is also obtained, and this cost is further adjusted based on the corrected abnormal access frequency. Finally, the price cost factor of video conferencing is identified, and an objective function is established based on this factor. This objective function is then adjusted based on the corrected economic cost of abnormal access, and the terminal access method is controlled or adjusted based on the adjusted objective function. This application uses a Markov model to determine the abnormal access frequency, adjusts the frequency based on the comprehensive quality score, and corrects the cost loss caused by abnormal access based on the abnormal access frequency, thereby refining the objective function and selecting the optimal access method. This improves the reliability of the access method selection, yields the most cost-effective access method after comprehensive consideration, and ensures stable video conferencing.

[0089] Through the above description of the embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware or by means of software plus necessary general-purpose hardware platforms. Based on this understanding, the technical solution of the present invention can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) and includes several instructions to cause a computer device (such as a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0090] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

1. A terminal access method for a video conferencing system, characterized in that, The method includes: A Markov model is established for both the normal and abnormal access states of the video conferencing terminal. Based on these models, the modulation rate and attenuation rate are obtained. The abnormal access frequency of the video conferencing terminal is then calculated using these rates. The process of obtaining the abnormal access frequency includes: determining the modulation rate λ as the state transition parameter from the abnormal access state to the normal access state, and determining the attenuation rate μ as the state transition parameter from the normal access state to the abnormal access state; according to the formula... The abnormal access frequency f of the video conferencing terminal was calculated. The process involves acquiring multiple influencing factors of video conferencing, obtaining corresponding scores for each factor, determining a comprehensive access quality score based on those scores, and correcting the abnormal access frequency of video conferencing terminals based on the comprehensive access quality score. The process of correcting the abnormal access frequency of video conferencing terminals includes: comparing the comprehensive access quality score with a preset comprehensive access quality score array, matching the corresponding abnormal access frequency correction coefficient, and multiplying the abnormal access frequency by the correction coefficient to obtain the corrected abnormal access frequency of the video conferencing terminals. The process involves obtaining the economic cost of a video conferencing terminal access anomaly and correcting the economic cost based on the corrected frequency of video conferencing terminal access anomalies. The economic cost of a video conferencing terminal access anomaly represents the economic loss caused by the terminal access anomaly. The process of correcting the economic cost of a video conferencing terminal access anomaly includes: comparing the corrected frequency of video conferencing terminal access anomalies with a preset array of access anomaly frequencies, matching the corresponding economic cost correction coefficient, and multiplying the economic cost by the economic cost correction coefficient to obtain the corrected economic cost of a video conferencing terminal access anomaly. The process involves: acquiring the price cost factors of video conferencing; establishing an objective function based on these factors; revising the objective function based on the corrected economic cost of abnormal video conferencing terminal access; and controlling or adjusting the terminal access method based on the revised objective function. The price cost factors are those excluding access anomaly costs during video conferencing operation and control. A total cost objective function is constructed for each access method based on its corresponding price cost factors, forming an objective function set. The corrected economic cost of abnormal video conferencing terminal access is compared with a preset economic cost array, and corresponding objective function correction coefficients are matched. Each objective function is multiplied by its correction coefficient to obtain the revised objective function set. The access method with the smallest revised objective function value is selected.

2. The method as described in claim 1, characterized in that, Obtain the multiple influencing factors of video conferencing, and derive scores for each of these factors, including: Multiple influencing factors include video quality factors, which include the bit rate, frame rate, and resolution of the video stream; The bitrate, frame rate, and resolution of the video stream are obtained. A first weight is determined based on the bitrate, frame rate, and resolution of the video stream and a first preset weight table. A video quality score is determined based on the bitrate, frame rate, resolution, and the first weight of the video stream.

3. The method as described in claim 1, characterized in that, Obtain the multiple influencing factors of video conferencing, and derive scores for each of these factors, including: Multiple influencing factors include network service factors, which include QoS scores; Obtain the QoS score, build a subjective evaluation table based on the subjective evaluation and the QoS score, and correct the QoS score based on the subjective evaluation table to obtain the network service score.

4. The method as described in claim 1, characterized in that, Obtain the multiple influencing factors of video conferencing, and derive scores for each of these factors, including: Multiple influencing factors include safety and protection factors; Multiple security protection factors are acquired, quantified, and then a security protection score is obtained based on preset weights.

5. The method as described in claim 1, characterized in that, Obtain the multiple influencing factors of video conferencing, and derive scores for each of these factors, including: Multiple influencing factors include scalability factors; Multiple scalability factors are acquired, quantified, and then a scalability score is obtained based on preset weights.

6. The method according to any one of claims 1-5, characterized in that, The overall access quality score is determined based on the scores corresponding to multiple influencing factors, including: The comprehensive access quality score is obtained based on video quality score, network service score, security protection score, scalability score, and corresponding preset weights.

7. The method as described in claim 6, characterized in that, After determining the comprehensive access quality score based on the scores corresponding to multiple influencing factors, the method further includes: The overall access quality score is adjusted based on video quality score, network service score, security protection score, scalability score, and a preset corresponding score table.

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