Transmission method of ultra-high-definition video 5G aggregation

Abstract

The application relates to the technical field of video transmission, in particular to a transmission method for super-high-definition video 5G aggregation, which comprises the following steps: acquiring super-high-definition video to be transmitted by 5G aggregation and the bandwidth utilization rate, transmission delay and packet loss rate of each transmission link at each moment; determining the bandwidth resource utilization degree and the smooth and reliable degree of each transmission link in a current link switching section, obtaining the transmission high-efficiency stability of each transmission link in the current link switching section; determining the video content complexity of each super-high-definition video frame to be transmitted in the current link switching section; determining the priority of the transmission of the super-high-definition video frame to be transmitted according to the video content complexity of all the super-high-definition video frames to be transmitted in the current link switching section, and determining the priority of the selection of the transmission link for the transmission of the super-high-definition video frame to be transmitted according to the transmission high-efficiency stability of all the transmission links in the current link switching section. The application improves the transmission quality of super-high-definition video.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of video transmission, in particular to a transmission method for super high-definition video 5G aggregation. BACKGROUND

[0002] With the rapid development of the super high-definition video industry, super high-definition video has gradually become mainstream as users have increasingly high requirements for the clarity and quality of video content. Super high-definition video 5G aggregation refers to the use of the high speed and low latency characteristics of 5G networks, combined with multi-link bandwidth aggregation technology, to achieve real-time and stable transmission of 4K / 8K super high-definition video. The core goal is to solve the bandwidth, latency and reliability bottlenecks of traditional networks and meet the low latency requirements of large data volume super high-definition video to ensure image quality, smoothness and user experience.

[0003] The transmission process of super high-definition video 5G aggregation usually includes multi-link 5G aggregation resource scheduling, network slicing, codec optimization and bandwidth compression, edge computing and privacy protection steps. Traditional technologies usually separate multi-link aggregation resource scheduling and video encoding into two independent steps, lack comprehensive analysis of network status and video content, and do not consider the synergy between aggregated multi-link status and super high-definition video content. As a result, link resources are not fully utilized, i.e., the priority transmission of key frame super high-definition video data cannot be guaranteed, and in severe cases, redundant frames or non-key frame super high-definition video data may occupy link resources, resulting in high latency and decreased transmission quality of super high-definition video. SUMMARY

[0004] To solve the above technical problems, the present application provides a transmission method for super high-definition video 5G aggregation to solve the existing problems.

[0005] The transmission method for super high-definition video 5G aggregation of the present application adopts the following technical solution:

[0006] One embodiment of the present application provides a transmission method for super high-definition video 5G aggregation, which includes the following steps:

[0007] Obtain the super high-definition video to be transmitted by 5G aggregation and the bandwidth utilization rate, transmission delay and packet loss rate of each transmission link at each time point of the aggregated transmission;

[0008] Divide the transmission of the super high-definition video into link switching sections evenly; for the current link switching section, analyze the sufficiency of the bandwidth utilization rate of each transmission link in the historical link switching section and the significance of the upward trend of the bandwidth utilization rate, and determine the bandwidth resource utilization degree of each transmission link in the current link switching section;

[0009] analyze the numerical distribution volatility of transmission delay of each transmission link in the historical link switching section and the discrete distribution of packet loss phenomenon of each transmission link in the historical link switching section, and determine the smooth reliability of each transmission link in the current link switching section;

[0010] Combine the bandwidth resource utilization and the smooth reliability to obtain the transmission efficient stability of each transmission link in the current link switching section;

[0011] Analyze the content texture complexity of each to-be-transmitted ultra-high-definition video frame in the current link switching section and the motion difference of matching feature points in each to-be-transmitted ultra-high-definition video frame and its adjacent to-be-transmitted ultra-high-definition video frame, and determine the video content complexity of each to-be-transmitted ultra-high-definition video frame in the current link switching section.

[0012] According to the video content complexity of all to-be-transmitted ultra-high-definition video frames in the current link switching section, determine the priority of transmission of the to-be-transmitted ultra-high-definition video frame, and according to the transmission efficient stability of all transmission links in the current link switching section, determine the priority of transmission link selection when transmitting the to-be-transmitted ultra-high-definition video frame.

[0013] In one embodiment, the determination of the bandwidth resource utilization includes:

[0014] Determine the maximum value of all bandwidth utilization rates of each transmission link in the previous link switching section of the current link switching section, obtain the fitting curve of the all bandwidth utilization rates, and calculate the Hurst index of the sequence composed of the slopes corresponding to the all bandwidth utilization rates on the fitting curve;

[0015] Combine the maximum value and the Hurst index to determine the bandwidth resource utilization, and the bandwidth resource utilization is positively correlated with the maximum value and the Hurst index.

[0016] In one embodiment, the bandwidth resource utilization is the product of the maximum value and the Hurst index.

[0017] In one embodiment, the determination of the smooth reliability includes:

[0018] Detect the mutation points of all packet loss rates of each transmission link in the previous link switching section of the current link switching section, and obtain the time points of the mutation points; determine the discrete degree of all time points of the mutation points of each transmission link, denoted as the first discrete degree;

[0019] Determine the mean value and the second discrete degree of all transmission delays of each transmission link in the previous link switching section of the current link switching section, and calculate the multiplication result of the mean value and the second discrete degree;

[0020] The fluency reliability is determined by combining the first dispersion and the multiplication result, the fluency reliability being positively correlated with the first dispersion and negatively correlated with the multiplication result.

[0021] In one embodiment, the fluency reliability is a ratio of the first dispersion and the multiplication result.

[0022] In one embodiment, the transmission efficiency stability is a normalized value of a product of the bandwidth resource utilization and the fluency reliability.

[0023] In one embodiment, the determination of the video content complexity comprises:

[0024] The R-Q slope of each to-be-transmitted ultra-high-definition video frame in the current link switching section is obtained through the R-Q model; each feature point matching pair between each to-be-transmitted ultra-high-definition video frame and the previous to-be-transmitted ultra-high-definition video frame in the current link switching section, and the optical flow vector between each feature point matching pair are determined;

[0025] The accumulation result of the similarity of the optical flow vectors between all arbitrary two feature point matching pairs corresponding to each to-be-transmitted ultra-high-definition video frame is calculated, and the video content complexity is determined by combining the R-Q slope.

[0026] In one embodiment, the video content complexity is a normalized value of a ratio of a normalized value of the R-Q slope and the accumulation result.

[0027] In one embodiment, the determination of the priority of the transmission of the to-be-transmitted ultra-high-definition video frame comprises: arranging all to-be-transmitted ultra-high-definition video frames in the current link switching section in descending order of video content complexity for transmission.

[0028] In one embodiment, the determination of the priority of the transmission link selection for the transmission of the to-be-transmitted ultra-high-definition video frame comprises: selecting a transmission link with the maximum transmission efficiency stability in the idle transmission link for the transmission of the to-be-transmitted ultra-high-definition video frame.

[0029] The present application has at least the following beneficial effects:

[0030] The application is directed to the technical problem that the traditional super high-definition video 5G aggregation transmission technology does not consider the synergy between the aggregation multi-link state and the super high-definition video coding, and cannot effectively guarantee the priority transmission of key frame super high-definition video data. A transmission efficiency and stability of a transmission link, and a quantification method of video content complexity of a super high-definition video frame are provided. The code rate bandwidth demand satisfaction condition and the transmission smoothness reliability of the super high-definition video data to be transmitted are more accurately characterized by the historical network link state. The content texture complexity condition and the motion scene richness of the super high-definition video frame are comprehensively considered, which lays a data support for subsequent link state and video content collaborative processing of super high-definition video 5G aggregation transmission. Further, by adjusting the 5G aggregation transmission process through the transmission efficiency and stability of the transmission link and the video content complexity of the super high-definition video frame to be transmitted, the transmission quality of each transmission link in the 5G multi-path network aggregation transmission process is further considered on the basis of extracting and preferentially selecting super high-definition video high code rate key frames for transmission. The transmission rate, video quality and smooth video perception of super high-definition video can be effectively guaranteed, and the technical drawbacks that link resources are not fully utilized and non-key video frame content occupies transmission link resources are prevented. BRIEF DESCRIPTION OF DRAWINGS

[0031] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the drawings needed to be used in the embodiments or the prior art description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and those skilled in the art can obtain other drawings according to these drawings without creative labor.

[0032] Figure 1 A step flow chart of a super high-definition video 5G aggregation transmission method provided by the present application;

[0033] Figure 2 A super high-definition video transmission priority determination flow chart. DETAILED DESCRIPTION

[0034] In order to further illustrate the technical means and effects adopted by the present application to achieve the predetermined invention purpose, the specific embodiments, structure, features and effects of a super high-definition video 5G aggregation transmission method according to the present application are described in detail below. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. In addition, the specific features, structures or characteristics in one or more embodiments can be combined in any suitable form.

[0035] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which the present application belongs.

[0036] The specific scheme of the transmission method of the super high-definition video 5G aggregation provided in the application will be specifically explained below in combination with the drawings.

[0037] The embodiment of the application provides a transmission method of super high-definition video 5G aggregation, and specifically provides a transmission method of super high-definition video 5G aggregation, please refer to Figure 1 The method comprises the following steps:

[0038] In step S001, the super high-definition video to be transmitted by 5G aggregation is acquired, and the bandwidth utilization rate, transmission delay and packet loss rate of each transmission link at each moment are acquired and preprocessed.

[0039] In this embodiment, the super high-definition video data to be transmitted by 5G aggregation is acquired by the aggregation router, and the bandwidth utilization rate, transmission delay and packet loss rate of each transmission link participating in the aggregation transmission are collected in real time. In this embodiment, the super high-definition video data to be transmitted by 5G aggregation is extracted by a video frame tool, and the timestamp of each frame is labeled. The collection frequency of the bandwidth utilization rate, transmission delay and packet loss rate of each transmission link is set to 10Hz. The implementer can set it according to the actual situation, and this embodiment does not limit it.

[0040] In order to prevent the bandwidth utilization rate, transmission delay and packet loss rate of each transmission link to be acquired for 5G aggregation transmission from being lost due to external interference, and to prevent the influence of different data dimensions on subsequent analysis, the median filling method is used to fill the missing values of all data collected by each transmission link. The data of each transmission link after the missing value filling is processed by Z-Score standardization to unify the dimension. Since the median filling method and Z-Score standardization are well-known technologies, the specific acquisition process will not be described here. The implementer can select other feasible data filling methods and data standardization methods, and this embodiment does not limit it.

[0041] In step S002, the transmission of the super high-definition video is evenly divided into link switching sections; for the current link switching section, the bandwidth utilization rate of each transmission link in the historical link switching section is analyzed to determine the bandwidth resource utilization degree of each transmission link in the current link switching section.

[0042] In the process of super high-definition video 5G aggregation transmission, the efficient stability of the transmission link participating in the 5G aggregation transmission is closely related to the transmission rate and quality of the super high-definition video. Preferentially selecting the transmission link with sufficient and stable bandwidth, no stuttering and low packet loss rate in the process of 5G aggregation transmission can guarantee the fluency, real-time and integrity of the super high-definition video, and meet the smooth transmission of the super high-definition video while guaranteeing the user experience.

[0043] Specifically, in the process of super high-definition video 5G aggregation transmission, when the historical bandwidth utilization rate of the ith transmission link participating in the 5G aggregation transmission is higher and shows a significant and continuous upward trend, it indicates that the channel quality of the ith transmission link is better and can better meet the bandwidth requirement of the code rate transmission of the super high-definition video stream. At the same time, when the corresponding historical transmission delay of the ith transmission link participating in the 5G aggregation transmission is small, and the transmission packet loss phenomenon shows discrete distribution, that is, the concentrated burst condition is blurred, it indicates that the transmission fluency and reliability of the transmission link are stronger. At this time, the selection priority of the ith transmission link in the process of super high-definition video 5G aggregation transmission should be improved to guarantee the smooth and reliable transmission of the video.

[0044] Based on the above analysis, this embodiment sets every 1 min as a link switching section. For each link switching section, the bandwidth utilization rate data, transmission delay data and packet loss rate data of each transmission link participating in the 5G aggregation transmission after preprocessing are sequentially arranged in time sequence to form a sequence, which is respectively referred to as the bandwidth utilization rate data sequence, the delay data sequence and the packet loss rate data sequence of each transmission link. The duration of the link switching section can be set by the implementer according to the actual situation, and this embodiment does not limit it.

[0045] Taking any link switching section as an example for subsequent analysis, the bandwidth utilization rate data sequence of each transmission link in the link switching section is taken as input. The least square method is used to obtain the fitting curve of the bandwidth utilization rate data sequence of each transmission link, and the slope corresponding to all bandwidth utilizations in the fitting curve is calculated to form a slope sequence, thereby obtaining the slope sequence of each transmission link.

[0046] Further, the maximum value of all bandwidth utilizations of each transmission link in the previous link switching section of the current link switching section is determined, and the Hurst index of the slope sequence of each transmission link in the previous link switching section of the current link switching section is calculated. The bandwidth resource utilization of each transmission link in the current link switching section is determined in combination with the maximum value and the Hurst index. The bandwidth resource utilization is positively correlated with the maximum value and the Hurst index.

[0047] In an embodiment of the present application, the product of the maximum value and the Hurst index is taken as the bandwidth resource utilization of each transmission link in the current link switching section. The bandwidth resource utilization reflects the bandwidth utilization sufficiency of each transmission link in the historical link switching section and the significance of the rising trend of the bandwidth utilization in the 5G aggregated transmission of the ultra-high definition video.

[0048] In step S003, the fluctuation of the numerical distribution of the transmission delay of each transmission link in the historical link switching section in the transmission of the ultra-high definition video and the discrete distribution of the packet loss phenomenon of each transmission link in the historical link switching section are analyzed to determine the smooth and reliable degree of each transmission link in the current link switching section.

[0049] The packet loss rate data sequence of each transmission link in each link switching section is taken as the input, and a Bayesian-based mutation point detection algorithm is used to obtain all the mutation points in the packet loss rate data sequence of each transmission link and the time at which each packet loss rate data mutation point occurs, which is denoted as the time at which the mutation point occurs. The Bayesian-based mutation point detection algorithm is a known technology, and the implementer can select other feasible mutation point detection algorithms according to the actual situation, which is not limited in the present embodiment.

[0050] Specifically, the dispersion degree of the time at which all the mutation points of each transmission line in the previous link switching section of the current link switching section occur is calculated, which is denoted as the first dispersion degree. The dispersion degree can be calculated in various ways such as variance, standard deviation, coefficient of variation, and information entropy. In the present embodiment, the information entropy of the time at which all the mutation points of each transmission line in the previous link switching section of the current link switching section occur is calculated, which is denoted as the first dispersion degree.

[0051] Further, the mean of all the transmission delays of each transmission link in the previous link switching section of the current link switching section and the variance of all the transmission delays of each transmission link in the previous link switching section of the current link switching section are calculated, which is denoted as the second dispersion degree.

[0052] The product of the mean and the second dispersion degree is calculated; and the first dispersion degree and the product are combined to determine the smooth and reliable degree of each transmission link in the current link switching section, wherein the smooth and reliable degree is positively correlated with the first dispersion degree and negatively correlated with the product.

[0053] In an embodiment of the present application, the ratio of the first dispersion of each transmission link in the previous link switching section of the current link switching section to the multiplication result is taken as the smooth reliability of each transmission link in the current link switching section. The smooth reliability represents the low transmission delay and the discrete distribution of the transmission packet loss of each transmission link in the historical link switching section in the 5G aggregated transmission process of the ultra-high definition video.

[0054] In step S004, the transmission efficient stability of each transmission link in the current link switching section is obtained by combining the bandwidth resource utilization and the smooth reliability.

[0055] The embodiment constructs the transmission efficient stability of each transmission link in the current link switching section, which is used to represent the sufficient bandwidth resource utilization and the complete smoothness of transmission in each transmission link in the 5G aggregated transmission process of the ultra-high definition video, and the specific expression is:

[0056] In the formula, TES(i) is the transmission efficient stability of the i th transmission link in the current link switching section, is the bandwidth resource utilization of the i th transmission link in the current link switching section, is the smooth reliability of the i th transmission link in the current link switching section, and norm() is a normalization function, so that the value range of TES(i) is between 0 and 1.

[0057] The transmission efficient stability reflects the sufficient bandwidth resource utilization and the complete smoothness of transmission of each transmission link in the historical link switching section in the 5G aggregated transmission process of the ultra-high definition video. In the 5G aggregated transmission process of the ultra-high definition video, when the network state of the transmission link is higher, the aggregated transmission priority of the transmission link in the process of the ultra-high definition video data transmission should be improved. When the sufficient bandwidth resource utilization of the transmission link in the historical link switching section is more obvious, the historical maximum bandwidth utilization rate of the transmission link is higher, and the bandwidth utilization rate presents an obvious continuous rising trend, that is, the calculated bandwidth resource utilization is larger. At the same time, the transmission link has stronger transmission smoothness and reliability for the ultra-high definition video data, the transmission delay of the transmission link is smaller, and the loss packet burst condition of the transmission link is more blurred, that is, the calculated smooth reliability is larger.

[0058] In step S005, the content texture complexity of each to-be-transmitted ultra-high definition video frame in the current link switching section and the motion difference of the matching feature points in each to-be-transmitted ultra-high definition video frame and its adjacent to-be-transmitted ultra-high definition video frame are analyzed to determine the video content complexity of each to-be-transmitted ultra-high definition video frame in the current link switching section.

[0059] ​​In the process of super high-definition video 5G aggregation transmission, there are still some disadvantages in improving the quality and fluency of super high-definition video data transmission only by the efficient stability of the transmission link participating in 5G aggregation transmission, without considering the synergy between the state of the aggregation transmission multi-link and the complexity of the super high-definition video content, lacking the identification and screening of the key frame content in the super high-definition video on the basis of determining the network state of the transmission link, and failing to meet the priority transmission of high code rate video frames in the complex super high-definition video aggregation transmission process, which may even cause the collapse of video transmission and quality.

[0060] Specifically, in the process of super high-definition video 5G aggregation transmission, when the jth frame of super high-definition video content in the link switching section contains more complex textures or rich detail scenes, a higher code rate is needed to maintain the picture quality, and at this time, it is more necessary to transmit through the transmission link with sufficient bandwidth resources and high stable transmission quality. In addition, when the jth frame of super high-definition video content contains more fast motion scenes, that is, the number of feature point matching pairs between adjacent frames of super high-definition video content is more, and the optical flow field difference of the feature point matching pairs is more obvious, it is also more necessary to transmit through the transmission link with sufficient bandwidth resources and high stable transmission quality.

[0061] Based on the above analysis, the embodiment determines the video content complexity of each to-be-transmitted super high-definition video frame in the current link switching section, which is used to represent the texture complexity and scene motion intensity of each to-be-transmitted super high-definition video frame in the link switching section.

[0062] Specifically, each to-be-transmitted super high-definition video frame in the current link switching section is taken as input, and the R-Q (Rate-Quality Model) model is used to obtain the R-Q slope of each to-be-transmitted super high-definition video frame, wherein the quantization parameter QP in the R-Q model has a default range of 0-51, and the value is 25 in this embodiment. The larger the R-Q slope of the super high-definition video frame is, the richer the complex textures and scene details contained in the video frame content are.

[0063] Using all the UHD video frames to be transmitted in the current link switching segment as input, the Flann Matcher (Fast Library for Approximate Nearest Neighbors) feature point matching algorithm is used to obtain all feature point matching pairs between each UHD video frame to be transmitted and its predecessor in the current link switching segment. Using each UHD video frame to be transmitted and its predecessor as input, the Farnback dense optical flow field algorithm is used to obtain the optical flow vector between each feature point matching pair in each UHD video frame to be transmitted in the current link switching segment. Since the RQ model, the Flann Matcher feature point matching algorithm, and the Farnback dense optical flow field algorithm are all well-known technologies, the specific acquisition process will not be described in detail.

[0064] Furthermore, the video content complexity of each ultra-high-definition video frame to be transmitted in the current link switching segment is calculated, and the specific expression is as follows:

[0065] In the formula, Let k be the video content complexity of the j-th ultra-high-definition video frame to be transmitted in the current link switching segment, where k is a preset value greater than 0 to avoid a denominator of 0. In this embodiment, k=0.01. Implementers can set it according to actual conditions, and this embodiment does not impose any restrictions on it. This is the normalized value of the RQ slope of the j-th ultra-high-definition video frame to be transmitted in the current link switching segment. The specific normalization method is as follows: calculate the ratio of the RQ slope of the j-th ultra-high-definition video frame to be transmitted in the current link switching segment to the sum of the RQ slopes of all ultra-high-definition video frames to be transmitted in the current link switching segment. Let norm() be the sum of the cosine similarity between the optical flow vectors of any two feature point matching pairs between the j-th and (j-1)-th UHD video frames to be transmitted in the current link switching segment, and norm() be the normalization function that makes . The value range is within the range of [0,1]. Implementers may choose other existing feasible similarity calculation methods, and this embodiment does not impose any restrictions on this.

[0066] It should be noted that, in order to prevent the accumulation result from being unable to be calculated because there are no ultra-high-definition video frames to be transmitted before the first ultra-high-definition video frame to be transmitted in the current link switching segment, this embodiment calculates the accumulation result of the cosine similarity between the optical flow vectors of all two feature point matching pairs in the first ultra-high-definition video frame to be transmitted and the next ultra-high-definition video frame to be transmitted.

[0067] The video content complexity reflects the video content texture complexity condition and the video content motion intensity in each to-be-transmitted ultra-high-definition video frame in the current link switching section; the R-Q slope reflects the complex texture and scene detail richness contained in each to-be-transmitted ultra-high-definition video frame in the current link switching section; and the accumulation result represents the video scene content motion intensity between each to-be-transmitted ultra-high-definition video frame and an adjacent video frame in the current link switching section. In the process of ultra-high-definition video 5G aggregation transmission, when the to-be-transmitted ultra-high-definition video frame is more critical and needs high code rate transmission to ensure video quality within the link switching section time range, the video content texture complexity and scene detail richness in the to-be-transmitted ultra-high-definition video frame are higher, that is, the calculated index is larger; at the same time, the to-be-transmitted ultra-high-definition video frame contains more fast motion scenes, and the motion vector difference between adjacent video frames is larger, that is, the calculated index is smaller.

[0068] In step S006, the priority of transmission of the to-be-transmitted ultra-high-definition video frame is determined according to the video content complexity of all to-be-transmitted ultra-high-definition video frames in the current link switching section, and the priority of transmission link selection in the transmission of the to-be-transmitted ultra-high-definition video frame is determined according to the transmission efficiency and stability of all transmission links in the current link switching section.

[0069] In this embodiment, a communication device supporting multi-standard aggregation is deployed, a 5G multi-path network is accessed, the to-be-transmitted ultra-high-definition video in the current link switching section is converted to BT.200 by 3D LUT mapping, and motion compensation-based video time domain noise reduction processing is performed by using the MCTNR algorithm. A codec device supporting 5G transmission is used to encode the ultra-high-definition video in the current link switching section according to the H.264 encoding standard, and the priority of each to-be-transmitted ultra-high-definition video frame in the current link switching section is divided according to the video content complexity. All to-be-transmitted ultra-high-definition video frames in the current link switching section are arranged in descending order of video content complexity for wired transmission.

[0070] Meanwhile, the transmission links in the N 5G multi-path networks are activated, and in the time range of the first link switching section, the priority of the transmission link is determined only by the transmission delay of the transmission link, that is, for the to-be-transmitted ultra-high-definition video frame, the transmission link with the smallest transmission delay is selected for transmission. From the second link switching section, the transmission efficiency stability of each transmission link in the link switching section is obtained, and the transmission efficiency stability of the activated transmission link is arranged in descending order. The encoded to-be-transmitted ultra-high-definition video frame in the link switching section is selected to be aggregated and transmitted by the transmission link with the largest transmission efficiency stability, and when more than half of the activated transmission links are in a waiting state, a transmission link in the 5G multi-path network is activated, and the to-be-transmitted ultra-high-definition video frame after encoding is transmitted in the above manner. The priority determination flowchart of the ultra-high-definition video transmission is as shown in Figure 2

[0071] It should be noted that the number of transmission links in the 5G multi-path network initially activated in the embodiment is N=5, and the implementer can encrypt the to-be-transmitted ultra-high-definition video according to the actual situation and set the number of transmission links in the 5G multi-path network initially activated, and the embodiment does not limit this.

[0072] It should be noted that the above sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the above describes the specific embodiments of the present description. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0073] Each of the embodiments in the present description is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment mainly describes the difference from other embodiments.

[0074] The above-described embodiments are only used to illustrate the technical solutions of the present application, and not to limit them; the technical solutions described in the above embodiments are modified, or some technical features are replaced, and the essence of the corresponding technical solutions does not deviate from the scope of the technical solutions of the embodiments of the present application, and should be included in the protection scope of the present application.​

Claims

1. A method for transmission of ultra-high definition video 5G aggregation, characterized in that, The method comprises the following steps: Obtain the ultra-high-definition video to be transmitted by 5G aggregation, and the bandwidth utilization, transmission delay, and packet loss rate of each transmission link at each time point of the aggregated transmission; Divide the transmission of the ultra-high-definition video into each link switching section; for the current link switching section, analyze the sufficiency of the bandwidth utilization of each transmission link in the historical link switching section and the significance of the upward trend of the bandwidth utilization, and determine the bandwidth resource utilization degree of each transmission link in the current link switching section; Analyze the numerical distribution volatility of the transmission delay of each transmission link in the historical link switching section, and the discrete distribution of the packet loss phenomenon of each transmission link in the historical link switching section, and determine the smooth and reliable degree of each transmission link in the current link switching section; Combine the bandwidth resource utilization degree and the smooth and reliable degree to obtain the transmission efficient stability of each transmission link in the current link switching section; Analyze the content texture complexity of each ultra-high-definition video frame to be transmitted in the current link switching section, and the motion difference of the matching feature points in each ultra-high-definition video frame to be transmitted and its adjacent ultra-high-definition video frame to be transmitted, and determine the video content complexity of each ultra-high-definition video frame to be transmitted in the current link switching section; According to the video content complexity of all the ultra-high-definition video frames to be transmitted in the current link switching section, determine the priority of the transmission of the ultra-high-definition video frames to be transmitted, and according to the transmission efficient stability of all the transmission links in the current link switching section, determine the priority of the transmission link selection for the transmission of the ultra-high-definition video frames to be transmitted. 2.The method of claim 1, wherein, The determination of the bandwidth resource utilization degree comprises: Determine the maximum value of all the bandwidth utilizations of each transmission link in the previous link switching section of the current link switching section, obtain the fitting curve of all the bandwidth utilizations, and calculate the Hurst index of the sequence composed of the slopes corresponding to all the bandwidth utilizations on the fitting curve; Combine the maximum value and the Hurst index to determine the bandwidth resource utilization degree, which is positively correlated with the maximum value and the Hurst index. 3.The method of claim 2, wherein, The bandwidth resource utilization degree is the product of the maximum value and the Hurst index. 4.The method of claim 1, wherein, The determination of the smooth and reliable degree comprises: Detect the mutation points of all the packet loss rates of each transmission link in the previous link switching section of the current link switching section, and obtain the time points of the mutation points; determine the discrete degree of all the time points of the mutation points of each transmission line, denoted as the first discrete degree; Determine the mean value and the second discrete degree of all the transmission delays of each transmission link in the previous link switching section of the current link switching section, and calculate the multiplication result of the mean value and the second discrete degree; Combine the first discrete degree and the multiplication result to determine the smooth and reliable degree, which is positively correlated with the first discrete degree and negatively correlated with the multiplication result. 5.The method of claim 4, wherein, The smooth and reliable degree is the ratio of the first discrete degree to the multiplication result. 6.The method of claim 1, wherein, The transmission efficient stability is the normalized value of the product of the bandwidth resource utilization degree and the smooth and reliable degree. 7.The method of claim 1, wherein, The determination of the video content complexity comprises: The R-Q model is used to obtain R-Q slopes of each to-be-transmitted ultra-high-definition video frame in the current link switching section; each feature point matching pair between each to-be-transmitted ultra-high-definition video frame and a previous to-be-transmitted ultra-high-definition video frame is determined, and an optical flow vector between each feature point matching pair is determined; An accumulated result of similarities of the optical flow vectors between all arbitrary two feature point matching pairs corresponding to each to-be-transmitted ultra-high-definition video frame is calculated, and the video content complexity is determined in combination with the R-Q slopes. 8.The method of claim 7, wherein, The video content complexity is a normalized value of a ratio of a normalized value of the R-Q slopes to the accumulated result. 9.The method of claim 1, wherein, The priority of transmission of the to-be-transmitted ultra-high-definition video frame is determined by arranging all to-be-transmitted ultra-high-definition video frames in the current link switching section in descending order of the video content complexity for transmission. 10.The method of claim 1, wherein, The priority of selection of a transmission link for transmission of the to-be-transmitted ultra-high-definition video frame is determined by selecting a transmission link with the maximum transmission efficiency and stability from idle transmission links for transmission of the to-be-transmitted ultra-high-definition video frame.

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