Ultrahigh-definition video 5G aggregation transmission method

Abstract

The invention relates to the technical field of video transmission, in particular to a transmission method for ultrahigh-definition video 5G aggregation, and the method comprises the steps: obtaining an ultrahigh-definition video to be subjected to 5G aggregation transmission, and the bandwidth utilization rate, transmission delay and packet loss rate of each transmission link for aggregation transmission at each moment; determining the bandwidth resource utilization degree and the smooth reliability of each transmission link in the current link switching section, and obtaining the transmission efficiency stability of each transmission link in the current link switching section; determining the video content complexity of each to-be-transmitted ultra-high-definition video frame in the current link switching section; according to the video content complexity of all the to-be-transmitted ultra-high-definition video frames in the current link switching section, the transmission priority of the to-be-transmitted ultra-high-definition video frames is determined, and according to the transmission efficiency and stability of all the transmission links in the current link switching section, the transmission link selection priority during transmission of the to-be-transmitted ultra-high-definition video frames is determined. According to the invention, the transmission quality of the ultra-high-definition video is improved.

Description

Technical Field

[0001] The present application relates to the field of video transmission technology, and in particular to a method for transmitting ultra-high-definition video 5G aggregation. Background Art

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

[0003] The transmission process of ultra-high-definition video 5G aggregation is usually divided into multi-link 5G aggregation resource scheduling, network slicing, codec optimization and bandwidth compression, edge computing and privacy protection steps. Traditional technologies usually split multi-link aggregation resource scheduling and video encoding into two independent steps, lacking a comprehensive analysis of network status and video content, and failing to consider the synergy between the aggregated multi-link status and ultra-high-definition video content, resulting in insufficient utilization of link resources, that is, failing to guarantee the priority transmission of key-frame ultra-high-definition video data. In severe cases, it may even cause redundant frames or non-key-frame ultra-high-definition video data to occupy link resources, thereby causing high transmission latency and decreased transmission quality of ultra-high-definition video. Summary of the Invention

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

[0005] The present application discloses a method for transmitting ultra-high-definition video over 5G aggregation using the following technical solutions: An embodiment of the present application provides a method for transmitting ultra-high-definition video 5G aggregation, the method comprising the following steps: Obtain the ultra-high-definition video to be aggregated and transmitted over 5G, as well as the bandwidth utilization, transmission delay, and packet loss rate of each transmission link at each moment in the aggregated transmission; The transmission of ultra-high-definition video is evenly divided into link switching segments. For the current link switching segment, the adequacy of bandwidth utilization of each transmission link in the ultra-high-definition video transmission under the historical link switching segments and the significance of the upward trend of bandwidth utilization are analyzed to determine the bandwidth resource utilization of each transmission link in the current link switching segment. Analyze the numerical distribution fluctuation of transmission delays and the discrete distribution of packet loss on each transmission link in historical link switching sections during ultra-high-definition video transmission, and determine the smoothness and reliability of each transmission link in the current link switching section. Combining the bandwidth resource utilization and the smoothness reliability, obtaining the transmission efficiency and 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, as well as the motion difference of matching feature points between each ultra-high-definition video frame to be transmitted and its adjacent ultra-high-definition video frames to be transmitted, to 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 ultra-high-definition video frames to be transmitted in the current link switching section, the priority of transmission of the ultra-high-definition video frames to be transmitted is determined. According to the transmission efficiency and stability of all transmission links in the current link switching section, the priority of transmission link selection when transmitting the ultra-high-definition video frames to be transmitted is determined.

[0006] In one embodiment, determining the bandwidth resource utilization includes: Determine the maximum value of all bandwidth utilizations of each transmission link in a link switching section preceding the current link switching section, obtain a fitting curve of all bandwidth utilizations, and calculate the Hurst exponent of a sequence consisting of slopes corresponding to all bandwidth utilizations on the fitting curve; The bandwidth resource utilization is determined by combining the maximum value and the Hurst exponent, and the bandwidth resource utilization is positively correlated with the maximum value and the Hurst exponent.

[0007] In one embodiment, the bandwidth resource utilization is the product of the maximum value and the Hurst exponent.

[0008] In one embodiment, determining the fluency reliability includes: Perform mutation point detection on all packet loss rates of each transmission link in the link switching section preceding the current link switching section to obtain the time of the mutation point; determine the dispersion degree of the time of all the mutation points of each transmission line, which is recorded as a first dispersion degree; Determining a mean value and a second dispersion of all transmission delays of each transmission link in a link switching section preceding the current link switching section, and calculating a product of the mean value and the second dispersion; The fluency reliability is determined by combining the first dispersion and the multiplication result. The fluency reliability is positively correlated with the first dispersion and negatively correlated with the multiplication result.

[0009] In one embodiment, the fluency reliability is a ratio of the first discreteness to the multiplication result.

[0010] In one embodiment, the transmission high efficiency and stability is a normalized value of the product of the bandwidth resource utilization and the smoothness reliability.

[0011] In one embodiment, determining the complexity of the video content includes: Obtaining the RQ slope of each ultra-high-definition video frame to be transmitted in the current link switching section through the RQ model; determining each feature point matching pair between each ultra-high-definition video frame to be transmitted in the current link switching section and its previous ultra-high-definition video frame to be transmitted, and the optical flow vector between each feature point matching pair; The cumulative result of the similarity of the optical flow vectors between all any two feature point matching pairs corresponding to each ultra-high-definition video frame to be transmitted is calculated, and the video content complexity is determined in combination with the RQ slope.

[0012] In one embodiment, the video content complexity is a normalized value of the ratio of the normalized value of the RQ slope to the accumulated result.

[0013] In one embodiment, determining the priority of the ultra-high-definition video frames to be transmitted includes: arranging all the ultra-high-definition video frames to be transmitted in the current link switching segment in descending order of video content complexity for transmission.

[0014] In one embodiment, determining the priority of transmission link selection when transmitting the ultra-high-definition video frame to be transmitted includes: selecting a transmission link with the highest transmission efficiency and stability among idle transmission links for transmission of the ultra-high-definition video frame to be transmitted.

[0015] This application has at least the following beneficial effects: This application analyzes the technical problem that traditional ultra-high-definition video 5G aggregation transmission technology does not consider the synergy between the aggregation multi-link state and ultra-high-definition video encoding, and cannot effectively ensure the priority transmission of key frame ultra-high-definition video data. It provides a transmission efficiency and stability of the transmission link, as well as a quantification method for the video content complexity of ultra-high-definition video frames. It more accurately characterizes the satisfaction of the bit rate and bandwidth requirements of the ultra-high-definition video data to be transmitted and the smooth transmission reliability through the historical network link state. It comprehensively considers the content texture complexity and the richness of the motion scene of the ultra-high-definition video frame, and lays a data support for the subsequent link state and video content collaborative processing of ultra-high-definition video 5G aggregation transmission. Furthermore, the 5G aggregation transmission process is adjusted by the transmission efficiency and stability of the transmission link and the video content complexity of the ultra-high-definition video frame to be transmitted. On the basis of extracting and prioritizing the transmission of ultra-high-definition video high-bitrate key frames, the transmission quality of each transmission link in the 5G multi-channel network aggregation transmission process is further considered. It can effectively ensure the transmission rate, video quality and smooth video perception of ultra-high-definition video, and prevent the technical disadvantages of underutilization of link resources and occupation of transmission link resources by non-critical video frame content. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions and advantages of the embodiments of the present application or the prior art, the following is a brief introduction to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0017] Figure 1 This is a flowchart of the steps of a 5G aggregated transmission method for ultra-high-definition video provided by this application; Figure 2 Flowchart for prioritizing UHD video transmission. DETAILED DESCRIPTION

[0018] To further illustrate the technical means and effects adopted by this application to achieve the intended invention objectives, the following, in conjunction with the accompanying drawings and preferred embodiments, describes in detail the specific implementation, structure, features, and effects of a 5G aggregated ultra-high-definition video transmission method proposed in this application. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures, or characteristics of one or more embodiments may be combined in any suitable form.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.

[0020] The following describes in detail a specific scheme of the transmission method of ultra-high-definition video 5G aggregation provided by this application with reference to the accompanying drawings.

[0021] An embodiment of the present application provides a method for transmitting ultra-high-definition video 5G aggregation. Specifically, the following method for transmitting ultra-high-definition video 5G aggregation is provided. Figure 1 , the method comprises the following steps: Step S001: Obtain the ultra-high-definition video to be aggregated and transmitted over 5G, as well as the bandwidth utilization, transmission delay, and packet loss rate of each transmission link of the aggregated transmission at each moment, and perform preprocessing.

[0022] This embodiment uses an aggregation router to obtain ultra-high-definition video data to be aggregated and transmitted over 5G networks, and collects in real time the bandwidth utilization, transmission delay, and packet loss rate of each transmission link involved in the aggregated transmission. The ultra-high-definition video data to be aggregated and transmitted over 5G networks is extracted using a video framing tool to extract all ultra-high-definition video frames and annotate each frame with a timestamp. The aggregation router collects bandwidth utilization, transmission delay, and packet loss rate data for each transmission link at a frequency of 10Hz. This frequency can be customized by the user based on actual circumstances, and this embodiment does not impose any restrictions on this.

[0023] In order to prevent the bandwidth utilization, transmission delay and packet loss rate of each transmission link to be 5G aggregated transmission from being lost due to external interference, and to prevent the different dimensions of different data from affecting subsequent analysis, this embodiment uses the median filling method to fill in missing values ​​for all data collected from each transmission link, and uses Z-Score standardization to unify the dimensions of each transmission link data after missing value filling. Since the median filling method and Z-Score standardization are both well-known technologies, the specific acquisition process will not be described in detail. The implementer can choose other existing feasible data filling methods and data standardization methods on his own, and this embodiment does not limit this.

[0024] Step S002, evenly divide the transmission of ultra-high-definition video into link switching segments; for the current link switching segment, analyze the adequacy of the bandwidth utilization of each transmission link in the ultra-high-definition video transmission under the historical link switching segment and the significance of the upward trend of bandwidth utilization, and determine the bandwidth resource utilization of each transmission link in the current link switching segment.

[0025] During the 5G aggregation transmission of ultra-high-definition video, the high efficiency and stability of the transmission links involved in the 5G aggregation transmission are closely related to the transmission rate and quality of ultra-high-definition video. Prioritizing the transmission links with sufficient and stable bandwidth, no lag and low packet loss rate during the 5G aggregation transmission process can ensure the smoothness, real-time performance and integrity of ultra-high-definition video, and ensure the user viewing experience while ensuring the smooth transmission of ultra-high-definition video.

[0026] Specifically, during the 5G aggregate transmission of ultra-high-definition video, when the historical bandwidth utilization of the i-th transmission link participating in the 5G aggregate transmission is higher and the bandwidth utilization shows an obvious continuous upward trend, it means that the channel quality of the i-th transmission link is better, and the bit rate transmission bandwidth requirement of the ultra-high-definition video stream can be met more effectively; at the same time, when the historical transmission delay corresponding to the i-th transmission link participating in the 5G aggregate transmission is relatively small, and the transmission packet loss phenomenon is discretely distributed, that is, the concentrated emergency situation is blurred, it means that the transmission smoothness and reliability of the transmission link are stronger. At this time, the selection priority of the i-th transmission link in the 5G aggregate transmission of ultra-high-definition video should be improved to ensure smooth and reliable transmission of the video.

[0027] Based on the above analysis, this embodiment sets each 1-minute segment as a link switching segment. For each link switching segment, the pre-processed bandwidth utilization data, transmission delay data, and packet loss rate data of each transmission link participating in 5G aggregate transmission are recorded in chronological order as the bandwidth utilization data sequence, delay data sequence, and packet loss rate data sequence for each transmission link, respectively. The duration of the link switching segment can be set by the implementer based on actual conditions, and this embodiment does not impose any restrictions on this.

[0028] Taking any link switching segment as an example for subsequent analysis, the bandwidth utilization data sequence of each transmission link in the link switching segment is used as input. The least squares method is used to obtain the fitting curve of the bandwidth utilization data sequence of each transmission link. The slopes of all bandwidth utilizations in the bandwidth utilization data sequence on the fitting curve are calculated to form a slope sequence, thus obtaining the slope sequence of each transmission link.

[0029] Furthermore, the maximum value of all bandwidth utilizations of each transmission link in the link switching segment preceding the current link switching segment is determined, and the Hurst exponent of the slope sequence of each transmission link in the link switching segment preceding the current link switching segment is calculated. The bandwidth resource utilization of each transmission link in the current link switching segment is determined by combining the maximum value and the Hurst exponent. The bandwidth resource utilization is positively correlated with both the maximum value and the Hurst exponent.

[0030] In one embodiment of the present application, the product of the maximum value and the Hurst exponent is used to determine the bandwidth resource utilization of each transmission link in the current link switching segment. The bandwidth resource utilization reflects the adequacy of bandwidth utilization of each transmission link in the historical link switching segment during the ultra-high-definition video 5G aggregate transmission process and the significance of the upward trend in bandwidth utilization.

[0031] Step S003: Analyze the numerical distribution volatility of the transmission delay of each transmission link in the historical link switching section in ultra-high-definition video transmission, as well as the discrete distribution of the packet loss phenomenon of each transmission link in the historical link switching section, to determine the smoothness reliability of each transmission link in the current link switching section.

[0032] The packet loss rate data sequence corresponding to each transmission link in each link switching segment is used as input. A Bayesian-based mutation point detection algorithm is used to obtain all mutation points in the packet loss rate data sequence for each transmission link. The time at which each packet loss rate mutation point occurs is also determined and recorded as the mutation point time. The Bayesian-based mutation point detection algorithm is a well-known technique. Implementers may select other feasible mutation point detection algorithms based on actual circumstances, and this embodiment does not impose any limitation on this algorithm.

[0033] Specifically, the degree of dispersion of all the mutation points of each transmission line in the link switching segment preceding the current link switching segment is calculated, and recorded as a first dispersion. The degree of dispersion can be calculated using variance, standard deviation, coefficient of variation, information entropy, or other methods. In this embodiment, the information entropy of all the mutation points of each transmission line in the link switching segment preceding the current link switching segment is calculated, and recorded as the first dispersion.

[0034] Furthermore, the mean of all transmission delays of each transmission link in the previous link switching segment of the current link switching segment and the variance of all transmission delays of each transmission link in the previous link switching segment of the current link switching segment are calculated and recorded as the second dispersion.

[0035] Calculate the multiplication result of the mean and the second discreteness; combine the first discreteness and the multiplication result to determine the smoothness reliability of each transmission link in the current link switching segment, wherein the smoothness reliability is positively correlated with the first discreteness and negatively correlated with the multiplication result.

[0036] In one embodiment of the present application, the ratio of the first discreteness of each transmission link in the link switching segment preceding the current link switching segment to the multiplication result is used as the smoothness reliability of each transmission link in the current link switching segment. The smoothness reliability characterizes the low transmission latency and discrete distribution of transmission packet loss of each transmission link in the historical link switching segment during the ultra-high-definition video 5G aggregate transmission process.

[0037] Step S004 : combining the bandwidth resource utilization and the smoothness reliability to obtain the transmission efficiency and stability of each transmission link in the current link switching section.

[0038] This embodiment constructs the transmission efficiency and stability of each transmission link in the current link switching section to characterize the sufficient utilization of bandwidth resources and the completeness and smoothness of transmission of each transmission link during the 5G aggregation transmission of ultra-high-definition video. The specific expression is: Where, is the transmission efficiency and 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, norm() is the normalization function, so that The value range is between [0,1].

[0039] Transmission efficiency and stability reflect the sufficient utilization of bandwidth resources and the completeness and smoothness of transmission of each transmission link in the historical link switching section during the ultra-high-definition video 5G aggregate transmission process. During the ultra-high-definition video 5G aggregate transmission process, the higher the network status of the transmission link, the higher its aggregate transmission priority should be in the ultra-high-definition video data transmission process. The more obvious the sufficient utilization of bandwidth resources of the transmission link in the historical link switching section, the higher the historical maximum bandwidth utilization of the transmission link, and the more obvious the continuous upward trend of the bandwidth utilization, that is, the greater the calculated bandwidth resource utilization. At the same time, the stronger the transmission smoothness and reliability of the transmission link for ultra-high-definition video data, the smaller the transmission delay of the transmission link, and the more ambiguous the concentrated burst of packet loss in the transmission link, that is, the greater the calculated smoothness and reliability.

[0040] Step S005: Analyze the content texture complexity of each ultra-high-definition video frame to be transmitted in the current link switching section, as well as the motion difference of the matching feature points between each ultra-high-definition video frame to be transmitted and its adjacent ultra-high-definition video frame to be transmitted, to determine the video content complexity of each ultra-high-definition video frame to be transmitted in the current link switching section.

[0041] During the 5G aggregate transmission of ultra-high-definition video, there are still certain disadvantages when relying solely on the efficient and stable transmission links involved in 5G aggregate transmission to improve the quality and smoothness of ultra-high-definition video data transmission. The synergy between the multi-link status of aggregate transmission and the complexity of ultra-high-definition video content is not considered. On the basis of determining the network status of the transmission link, there is a lack of recognition and screening of key frame content in ultra-high-definition video. In the complex ultra-high-definition video aggregate transmission process, the priority transmission of high-bitrate video frames cannot be met, and in severe cases, it may cause a collapse of video transmission and quality.

[0042] Specifically, during the 5G aggregation transmission of ultra-high-definition video, the more complex textures or detailed scenes the j-th frame of ultra-high-definition video content in the link switching segment contains, the higher the bit rate is required to maintain the image quality. At this time, it should be transmitted through a transmission link with sufficient bandwidth resources and high-stable transmission quality. In addition, the more fast-motion scenes the j-th frame of ultra-high-definition video content contains, that is, the more feature point matching pairs there are between adjacent frames of ultra-high-definition video content and the more obvious the difference in the optical flow field of the feature point matching pairs is, it should be transmitted through a transmission link with sufficient bandwidth resources and high-stable transmission quality.

[0043] Based on the above analysis, this embodiment determines the video content complexity of each ultra-high-definition video frame to be transmitted in the current link switching segment, which is used to characterize the texture complexity and scene motion intensity of each ultra-high-definition video frame to be transmitted in the link switching segment.

[0044] Specifically, each ultra-high-definition video frame to be transmitted in the current link switching segment is used as input, and the RQ (Rate-Quality Model) model is used to obtain the RQ slope of each ultra-high-definition video frame to be transmitted, wherein the default range of the quantization parameter QP in the RQ model is 0-51, and the value is 25 in this embodiment. The larger the RQ slope of the ultra-high-definition video frame, the richer the complex texture and scene details contained in the video frame content.

[0045] All the ultra-high-definition video frames to be transmitted in the current link switching segment are taken as input, and the Flann Matcher (Fast Library for Approximate Nearest Neighbors) feature point matching algorithm is used to obtain all feature point matching pairs between each ultra-high-definition video frame to be transmitted in the current link switching segment and its previous ultra-high-definition video frame to be transmitted. Each ultra-high-definition video frame to be transmitted and its previous ultra-high-definition video frame to be transmitted are taken as input, and the Farnback dense optical flow field algorithm is used to obtain the optical flow vector between each feature point matching pair in each ultra-high-definition 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.

[0046] Furthermore, the video content complexity of each ultra-high-definition video frame to be transmitted in the current link switching section is calculated. The specific expression is: Where, is the video content complexity of the jth ultra-high-definition video frame to be transmitted in the current link switching segment, k is a preset value greater than 0 to avoid the denominator being 0. In this embodiment, k=0.01. The implementer can set it according to the actual situation. This embodiment does not impose any restrictions on 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, wherein the specific normalization method is: calculating 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; is the cumulative result of the cosine similarity between the corresponding optical flow vectors of all two feature point matching pairs between the jth ultra-high-definition video frame to be transmitted and the j-1th ultra-high-definition video frame to be transmitted in the current link switching segment, norm() is the normalization function, so that The value range of is in the range of [0,1]. The implementer can choose other feasible similarity calculation methods at will, and this embodiment does not limit this.

[0047] It should be noted that in order to prevent the cumulative result from being unable to be calculated due to the absence of an ultra-high-definition video frame to be transmitted before the first ultra-high-definition video frame to be transmitted in the current link switching segment, this embodiment calculates the cumulative result of the cosine similarity between the corresponding optical flow vectors of all any two feature point matching pairs in the first ultra-high-definition video frame to be transmitted and its next ultra-high-definition video frame to be transmitted.

[0048] The video content complexity reflects the complexity of the video content texture and the video content motion intensity in each ultra-high-definition video frame to be transmitted in the current link switching segment; the RQ slope reflects the complex texture and scene detail richness contained in each ultra-high-definition video frame to be transmitted in the current link switching segment; and the accumulated result characterizes the video scene content motion intensity between each ultra-high-definition video frame to be transmitted and the adjacent video frames in the current link switching segment; in the ultra-high-definition video 5G aggregation transmission process, when the ultra-high-definition video frame to be transmitted is within the time range of the link switching segment, the more it belongs to a critical video frame and requires high bit rate transmission to ensure video quality, the higher the complexity of the video content texture and the richness of the scene details in the ultra-high-definition video frame to be transmitted, that is, the calculated index The larger the value is; at the same time, the more fast-moving scenes the ultra-high-definition video frames to be transmitted contain, the greater the difference in motion vectors between adjacent video frames, that is, the calculated index The smaller.

[0049] Step S006: Determine the priority of transmission of the ultra-high-definition video frames to be transmitted based on the video content complexity of all ultra-high-definition video frames to be transmitted in the current link switching section, and determine the priority of transmission link selection when transmitting the ultra-high-definition video frames to be transmitted based on the transmission efficiency and stability of all transmission links in the current link switching section.

[0050] This embodiment deploys communication equipment that supports multi-standard aggregation and accesses the 5G multi-channel network. The ultra-high-definition video to be transmitted in the current link switching segment is converted to BT.200 color space using 3D LUT mapping, and the video temporal noise reduction based on motion compensation is performed using the MCTNR algorithm. The ultra-high-definition video in the current link switching segment is encoded using a codec that supports 5G transmission using the H.264 encoding standard. The video content complexity of each ultra-high-definition video frame to be transmitted in the current link switching segment is prioritized, and all ultra-high-definition video frames to be transmitted in the current link switching segment are arranged in descending order of video content complexity for wired transmission.

[0051] Simultaneously activate N transmission links in the 5G multi-channel network. Within the time range of the first link switching segment, prioritize the transmission links only by the transmission delay of the transmission links. That is, for the ultra-high-definition video frames to be transmitted, select the idle transmission link with the smallest transmission delay for transmission. Starting from the second link switching segment, obtain the transmission efficiency and stability of each transmission link in the link switching segment, and arrange the transmission efficiency and stability of the activated transmission links in descending order. Select the idle transmission link with the largest transmission efficiency and stability for aggregate transmission of the ultra-high-definition video frames to be transmitted after encoding in the link switching segment. When more than half of the activated transmission links are in a waiting state, activate a transmission link in the 5G multi-channel network, and transmit the ultra-high-definition video frames to be transmitted after encoding in the above manner. The flow chart for determining the priority of ultra-high-definition video transmission is as follows: Figure 2 shown.

[0052] It should be noted that in this embodiment, the number of transmission links in the initially activated 5G multi-channel network is N=5. The implementer can encrypt the ultra-high-definition video to be transmitted and set the number of transmission links in the initially activated 5G multi-channel network according to actual conditions. This embodiment does not impose any restrictions on this.

[0053] It should be noted that the order in which the embodiments of the present application are presented is for illustrative purposes only and does not necessarily represent the superiority or inferiority of the embodiments. Furthermore, the foregoing descriptions of specific embodiments of this specification are provided. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order or sequential sequence shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0054] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0055] The above-described embodiments are only used to illustrate the technical solutions of the present application, and not to limit them. Modifications to the technical solutions described in the aforementioned embodiments, or equivalent replacements of some of the technical features therein, do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for transmitting ultra-high-definition video 5G aggregation, characterized in that: The method comprises the following steps: Obtain the ultra-high-definition video to be aggregated and transmitted over 5G, as well as the bandwidth utilization, transmission delay, and packet loss rate of each transmission link at each moment in the aggregated transmission; The transmission of ultra-high-definition video is evenly divided into link switching segments. For the current link switching segment, the adequacy of bandwidth utilization of each transmission link in the ultra-high-definition video transmission under the historical link switching segments and the significance of the upward trend of bandwidth utilization are analyzed to determine the bandwidth resource utilization of each transmission link in the current link switching segment. Analyze the numerical distribution fluctuation of transmission delays and the discrete distribution of packet loss on each transmission link in historical link switching sections during ultra-high-definition video transmission, and determine the smoothness and reliability of each transmission link in the current link switching section. Combining the bandwidth resource utilization and the smoothness reliability, obtaining the transmission efficiency and 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, as well as the motion difference of matching feature points between each ultra-high-definition video frame to be transmitted and its adjacent ultra-high-definition video frames to be transmitted, to 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 ultra-high-definition video frames to be transmitted in the current link switching section, the priority of transmission of the ultra-high-definition video frames to be transmitted is determined. According to the transmission efficiency and stability of all transmission links in the current link switching section, the priority of transmission link selection when transmitting the ultra-high-definition video frames to be transmitted is determined.

2. The method for transmitting ultra-high-definition video 5G aggregation according to claim 1, wherein: The determination of the bandwidth resource utilization includes: Determine the maximum value of all bandwidth utilizations of each transmission link in a link switching section preceding the current link switching section, obtain a fitting curve of all bandwidth utilizations, and calculate the Hurst exponent of a sequence consisting of slopes corresponding to all bandwidth utilizations on the fitting curve; The bandwidth resource utilization is determined by combining the maximum value and the Hurst exponent, and the bandwidth resource utilization is positively correlated with the maximum value and the Hurst exponent.

3. The method for transmitting ultra-high-definition video 5G aggregation according to claim 2, wherein: The bandwidth resource utilization is the product of the maximum value and the Hurst exponent.

4. The method for transmitting ultra-high-definition video 5G aggregation according to claim 1, wherein: The determination of the fluency reliability includes: Perform mutation point detection on all packet loss rates of each transmission link in the link switching section preceding the current link switching section to obtain the time of the mutation point; determine the dispersion degree of the time of all the mutation points of each transmission line, which is recorded as a first dispersion degree; Determining a mean value and a second dispersion of all transmission delays of each transmission link in a link switching section preceding the current link switching section, and calculating a product of the mean value and the second dispersion; The fluency reliability is determined by combining the first dispersion and the multiplication result. The fluency reliability is positively correlated with the first dispersion and negatively correlated with the multiplication result.

5. The method for transmitting ultra-high-definition video 5G aggregation according to claim 4, wherein: The smoothness reliability is a ratio of the first discreteness to the multiplication result.

6. The method for transmitting ultra-high-definition video 5G aggregation according to claim 1, wherein: The transmission high efficiency and stability is a normalized value of the product of the bandwidth resource utilization and the smooth reliability.

7. The method for transmitting ultra-high-definition video 5G aggregation according to claim 1, wherein: Determining the complexity of the video content includes: Obtaining the RQ slope of each ultra-high-definition video frame to be transmitted in the current link switching section through the RQ model; determining each feature point matching pair between each ultra-high-definition video frame to be transmitted in the current link switching section and its previous ultra-high-definition video frame to be transmitted, and the optical flow vector between each feature point matching pair; The cumulative result of the similarity of the optical flow vectors between all any two feature point matching pairs corresponding to each ultra-high-definition video frame to be transmitted is calculated, and the video content complexity is determined in combination with the RQ slope.

8. The method for transmitting ultra-high-definition video 5G aggregation according to claim 7, wherein: The video content complexity is a normalized value of the ratio of the normalized value of the RQ slope to the accumulated result.

9. The method for transmitting ultra-high-definition video 5G aggregation according to claim 1, wherein: The determining of the priority of the transmission of the ultra-high-definition video frames to be transmitted includes: arranging all the ultra-high-definition video frames to be transmitted in the current link switching segment in descending order of video content complexity for transmission.

10. The method for transmitting ultra-high-definition video 5G aggregation according to claim 1, wherein: The determining of the priority of transmission link selection when transmitting the ultra-high-definition video frame to be transmitted includes: selecting a transmission link with the highest transmission efficiency and stability from idle transmission links for transmitting the ultra-high-definition video frame to be transmitted.

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