WO2023134524A1 - Video coding configuration method, system and device, and storage medium - Google Patents

Abstract

Disclosed in the embodiments of the present application are a video coding configuration method, system and device, and a storage medium. According to the technical solution provided in the embodiments of the present application, the method comprises: collecting basic data, wherein the basic data comprises first mapping information of different code rates and corresponding total video watch times, and second mapping information of the different code rates and corresponding video quality parameters under different resolutions; constructing a function relationship between a total quality parameter of all users watching videos and the first mapping information and the second mapping information; traversing the basic data on the basis of the function relationship, and determining a target resolution and a corresponding target code rate when the value of the total quality parameter is the maximum; and performing video coding configuration on the basis of the target resolution and the corresponding target code rate. By using the technical means, video coding configuration can be accurately and rationally performed, and better video quality can be provided, thereby optimizing the video watching experience of users.

Description

A video coding configuration method, system, device and storage medium

This application claims the priority of the Chinese patent application with application number 202210044704.3 submitted to the China Patent Office on January 14, 2022, the entire content of which is incorporated herein by reference.

technical field

The embodiments of the present application relate to the technical field of video coding, and in particular, to a video coding configuration method, system, device, and storage medium.

Background technique

Streaming media technology refers to the technology that compresses a series of media data and transmits them in segments in the network in the form of streams, so as to realize real-time transmission of audio and video on the network. When performing data compression, in order to adapt to the network bandwidth of different users, the original video needs to be encoded before it can be transmitted to users through the network. At present, in order to meet the requirements of different users for image quality and fluency, and improve the user experience of watching videos, the operator will set up a reasonable encoding configuration table that can meet the needs of most users, and perform original video encoding according to the encoding configuration table , to meet the video viewing needs of different users.

However, most traditional encoding configuration tables are artificially set based on operating experience, and the setting of encoding configuration parameters is relatively subjective, making it difficult to perform video encoding based on reasonable and accurate encoding configuration parameters. It is difficult for the video encoded in this way to meet the ideal video quality requirements, which affects the user's video viewing experience.

Contents of the invention

Embodiments of the present application provide a video coding configuration method, system, device, and storage medium, which can accurately configure a bit rate and resolution of video coding, and solve the error problem of video coding configuration.

In the first aspect, the embodiment of the present application provides a video coding configuration method, including:

Collecting basic data, the basic data includes the first mapping information of different bit rates and the corresponding total video viewing time, and the second mapping information of different bit rates and corresponding video quality parameters under different resolutions;

Construct the functional relationship between the total quality parameters of all users watching videos and the first mapping information and the second mapping information;

Traverse the basic data based on the functional relationship, and determine the target resolution and the corresponding target bit rate when the total quality parameter takes the maximum value;

Configure video encoding based on the target resolution and corresponding target bit rate.

In the second aspect, the embodiment of the present application provides a video coding configuration system, including:

The collection module is used to collect basic data, and the basic data includes the first mapping information of different bit rates and corresponding video viewing total duration, and the second mapping information of different bit rates and corresponding video quality parameters under different resolutions;

A building block for constructing the functional relationship between the total quality parameters of all users watching videos and the first mapping information and the second mapping information;

The traversal module is used to traverse the basic data based on the functional relationship, and determine the target resolution and the corresponding target bit rate under the maximum value of the total quality parameter;

A configuration module, configured to perform video encoding configuration based on a target resolution and a corresponding target bit rate.

In a third aspect, the embodiment of the present application provides a video coding configuration device, including:

memory and one or more processors;

The memory is used to store one or more programs;

When the one or more programs are executed by the one or more processors, the one or more processors are made to implement the video encoding configuration method as described in the first aspect.

In a fourth aspect, the embodiment of the present application provides a storage medium containing computer-executable instructions, and the computer-executable instructions are used to execute the video encoding configuration method as described in the first aspect when executed by a computer processor.

The embodiment of the present application collects the basic data, the basic data includes the first mapping information of different bit rates and the corresponding total video viewing time, and the second mapping information of different bit rates and corresponding video quality parameters under different resolutions; constructs all user Watch the functional relationship between the total quality parameter of the video and the first mapping information and the second mapping information; traverse the basic data based on the functional relationship, and determine the target resolution and the corresponding target bit rate when the total quality parameter takes the maximum value; based on the target resolution rate and the corresponding target bit rate for video encoding configuration. Using the above-mentioned technical means, by traversing the basic data to optimize the target resolution and the corresponding target bit rate, video encoding configuration can be performed accurately and reasonably, providing better video quality, and further optimizing the user's video viewing experience.

Description of drawings

FIG. 1 is a flow chart of a video encoding configuration method provided in an embodiment of the present application;

Fig. 2 is the flow chart of basic data collection in the embodiment of the present application;

Fig. 3 is a flow chart of determining the target resolution and the target code rate under different code rate gears in the embodiment of the present application;

Fig. 4 is a flow chart of determining the target resolution and target code rate under different resolution gears in the embodiment of the present application;

Fig. 5 is a flow chart of video encoding configuration in the embodiment of the present application;

Fig. 6 is a flow chart of video encoding in the embodiment of the present application;

FIG. 7 is a schematic structural diagram of a video encoding configuration system provided by an embodiment of the present application;

FIG. 8 is a schematic structural diagram of a video encoding configuration device provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solution and advantages of the present application clearer, specific embodiments of the present application will be further described in detail below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described here are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts relevant to the present application are shown in the drawings but not all content. Before discussing the exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe various operations (or steps) as sequential processing, many of the operations may be performed in parallel, concurrently, or simultaneously. In addition, the order of operations can be rearranged. The process may be terminated when its operations are complete, but may also have additional steps not included in the figure. The processing may correspond to a method, function, procedure, subroutine, subroutine, or the like.

The video encoding configuration method provided by this application aims to construct the functional relationship of the total quality parameters viewed by users by collecting basic data, and then traverse the collected basic data based on the functional relationship to determine the corresponding resolution when the total quality parameter takes the maximum value and bit rate value, and the video encoding configuration based on the obtained resolution and bit rate can ensure that the total quality parameters of the user watching the video reach a relatively optimal state, thereby optimizing the user's video viewing experience.

With the rapid development of smart devices such as computers and mobile phones and related technologies, Internet applications have gradually penetrated into all aspects of life and have actually changed people's lifestyles. The improvement of the computing power of hardware equipment and the innovation of streaming media technology have also driven the development of the video and webcast industries. People can watch clear and smooth videos in real time on various terminals, which greatly enriches our spiritual life. Streaming Media technology refers to a technology that compresses a series of media data and transmits them in segments in the network in a streaming manner, so as to realize real-time transmission of audio and video on the network for viewing. In streaming media technology, data compression is an essential part. An uncompressed YUV420 format, 720P video with a frame rate of 24 has a data volume of up to 200M per second, which cannot meet the transmission requirements with the current civilian network bandwidth. In order to adapt to the user's network bandwidth, the original video needs to be encoded before it can be transmitted to the user through the network.

On the other hand, in the live webcast scene, it is more sensitive to the fluctuation of the video bit rate, and the instantaneous and large bit rate fluctuation may cause the live broadcast to freeze, and bring negative experience to the user. However, the number of live broadcast users is huge, and different users' requirements for video clarity and fluency will also be affected by various factors such as personal aesthetics and network conditions in different regions. Therefore, a single video encoding method cannot meet the requirements of most users. So it is very necessary to design a reasonable encoding configuration table that can meet the needs of most users. Based on a reasonable encoding configuration table, users can choose an acceptable encoding configuration to watch the encoded video, which meets the requirements of different users for image quality and fluency, and improves the user's experience in watching videos.

Since the traditional encoding configuration tables are mostly set artificially based on operating experience, the setting of encoding configuration parameters is relatively subjective, and it is difficult to perform video encoding based on reasonable and accurate encoding configuration parameters. Based on this, a video coding configuration method according to an embodiment of the present application is provided to solve the error problem of existing video coding configurations.

Example:

Figure 1 shows a flow chart of a video encoding configuration method provided in an embodiment of the present application. The video encoding configuration method provided in this embodiment can be executed by a video encoding configuration device, and the video encoding configuration device can use software and/or Realized by means of hardware, the video encoding configuration device may be composed of two or more physical entities, or may be composed of one physical entity. Generally speaking, the video encoding configuration device may be a processing device such as a video platform, a video encoding server of a live network platform, or the like.

The following description will be made by taking the video encoding configuration device as the main body executing the video encoding configuration method as an example. Referring to Figure 1, the video encoding configuration method specifically includes:

S110. Collect basic data. The basic data includes first mapping information of different bit rates and corresponding video viewing durations, and second mapping information of different bit rates and corresponding video quality parameters under different resolutions.

The embodiment of the present application provides a video coding configuration design solution based on maximizing the user's overall viewing quality when performing video coding configuration. By combining the function curves of different bit rates and the corresponding total video viewing time, and the function curves of different bit rates and corresponding video quality parameters under different resolutions, a method that maximizes the objective quality of videos watched by all users, including video resolution Encoding configuration table of two parameters of rate and code rate. It is used to transcode the original video in the business, so as to meet the viewing needs of most users and improve the viewing experience of users.

Before calculating the encoding configuration table, it is necessary to collect relevant basic data, including the function curves of the above-mentioned different bit rates and the corresponding total video viewing time, as well as the function curves of different bit rates and corresponding video quality parameters under different resolutions. Among them, the first mapping information defines the function curves of different bit rates and the corresponding total video viewing time, and defines the function curves of different bit rates and corresponding video quality parameters under different resolutions as the second mapping information. It should be noted that the above mapping information may be expressed in forms such as function curves and formulas, and the embodiment of the present application does not impose fixed restrictions on the specific expression manner of the mapping information, so details will not be repeated here.

Further, when collecting data, referring to FIG. 2 , the first mapping information and the second mapping information are respectively acquired. in. For the first mapping information, historical viewing data of users in corresponding service scenarios (such as live video broadcast, video output, etc.) are acquired. The historical viewing data contains the duration information of different users watching videos with different bitrates. Based on the historical viewing data, determine the total viewing time of all users for videos with different bit rates within the set time period, determine the total viewing time of a video corresponding to a bit rate value, and then based on the determined video under different bit rates The first mapping information can be correspondingly constructed according to the total viewing time.

Among them, the total viewing time of the video can be accurate to the second, and the bit rate can be accurate to 100Kbps. The duration and bit rate accuracy can be adjusted according to the actual business characteristics. For example, when designing the encoding configuration table, the bit rate needs to be accurate to 10Kbps, then when collecting data before, the bit rate granularity can be changed to 10Kbps. Moreover, since the code rate changes when users watch different videos, the abscissa is the code rate, and the ordinate is the total video viewing time of all users under the code rate, so as to construct the function curve of the first mapping information.

On the other hand, for the second mapping information, first select a batch of videos associated with the subsequent video encoding configuration in the business scenario. Preferably, videos covering various business scenarios can be selected to ensure that subsequent encoding configurations can adapt to different business scenarios. Then the acquired video is encoded according to different resolutions and different bit rates, so as to determine the video quality parameters of the encoded video.

Optionally, select a code rate interval [100Kbps, 3000Kbps], and perform CBR (constant bit rate) coding with different resolutions multiple times with a code rate step size of 100Kbps. The encoding resolution cannot be greater than the original resolution of the video. For example, a video with a resolution of 720P can be encoded at a resolution of 720P/540P/480P/360P. The specific encoding resolution can be selected and adjusted according to the needs of actual business scenarios. After encoding the batch of videos, the objective quality of each video, that is, the video quality parameter, can be calculated. Video quality parameters can be determined using evaluation methods such as PSNR (Peak Signal-to-Noise Ratio), SSIM (Structural Similarity), VMAF (Video Multi-Method Evaluation Fusion), and the embodiments of the present application do not make fixed restrictions on specific video quality parameter evaluation methods. I won't go into details here. In this way, based on the video quality parameters corresponding to different bit rates under different resolutions, the function curve of the second mapping information can be constructed. It should be noted that the second mapping information constructs a function curve corresponding to each resolution gear, in which the code rate is used as the abscissa, and the ordinate is the video quality parameter at the code rate.

S120. Construct a functional relationship between the total quality parameters of videos watched by all users and the first mapping information and the second mapping information.

Further, based on the above-mentioned first mapping information and the second mapping information, a functional relationship between the total quality parameters of videos watched by all users and the above-mentioned mapping information is constructed. The embodiment of the present application defines the sum of video quality parameters of all users watching videos of different resolutions, different bit rates, and different durations as the total quality parameter, and the total quality parameter reflects the overall situation of all users watching videos. It can be understood that the higher the total quality parameter, the higher the quality parameter of the video watched by global users, and the better the viewing experience obtained. Then find the target resolution and target bit rate that maximize the total quality parameters based on this functional relationship, which can be used for video encoding configuration, providing appropriate and accurate video encoding configuration effects, and optimizing user viewing experience.

Among them, it is assumed that the different bit rates in the first mapping information and the total viewing time of the corresponding video satisfy a functional relationship:

watch_time=f(x)

Among them, watch_time indicates the total video viewing time under the corresponding bit rate, x indicates the bit rate of the video, x∈(0,+∞).

It is also assumed that in the first mapping information, under different resolutions, different bit rates and video quality parameters satisfy a functional relationship:

quality=g(x)

Where quality represents the video quality parameter corresponding to the resolution and bit rate, x represents the bit rate of the video, and x∈(0,+∞).

Then given a specific code rate b Kbps, at this code rate, the total quality parameters of all users watching the video at the set time can be expressed as:

total_quality _b = watch_time _b *quality _b = f(b)*g(b)

Wherein total_quality represents the total quality parameter, f(b) represents the total viewing time of the user when the video code rate is b Kbps; g(b) represents the video quality parameter when the video code rate is bKbps.

Then, for all possible video bitrate values, the total quality parameters of all users watching videos as a whole can be expressed as:

In practical applications, due to the basic data, it is impossible to obtain the continuous bit rate and the total viewing time of the user, as well as the function of the bit rate and video quality parameters, but based on the basic data, it is possible to obtain the discrete bit rate and the total viewing time of the user, as well as the code function of rate and video quality parameters. Then the above functional relationship formula can be expressed as:

Wherein, total_quality represents the total quality parameter, x represents the code rate, and the value interval is [n, m], f(x) represents the first mapping information, and g(x) represents the second mapping information.

In the embodiment of the present application, the code rate range is set to [100Kbps, 3000Kbps], then the above functional relationship formula can be degenerated into:

Where x represents the video code rate, x∈[100,3000] is an integer multiple of 100, and the unit is Kbps.

S130. Traverse the basic data based on the functional relationship, and determine a target resolution and a corresponding target bit rate when the total quality parameter takes a maximum value.

Based on the above functional relationship formula, by traversing the pre-collected basic data, and substituting different first mapping information and second mapping information into the functional relationship formula, it can be determined that when the total quality parameter takes the largest value, the corresponding first mapping information and In the second mapping information, values of resolution and bit rate. The resolution determined at this time is defined as the target resolution, and the corresponding bit rate is the target bit rate for subsequent video encoding configuration.

Specifically, in order to facilitate the subsequent video encoding configuration, different bit rate gears are preset, and then the bit rate value and resolution value of each bit rate gear are determined when the total quality parameter takes the maximum value by traversing the above functional relationship . In this way, the encoding configuration table of different bit rate gears is constructed, which facilitates encoding configuration based on the corresponding gear during video encoding, and improves the efficiency of video encoding configuration.

As shown in Figure 3, the target resolution and target bit rate determination process under different bit rate gears includes:

S1301. According to the pre-set information on the number of code rate stalls and the code rate value range, transform the functional relationship;

S1302. Traverse the basic data based on the transformed functional relationship, and determine the target resolution and the corresponding target code rate when the total quality parameter takes the maximum value under the corresponding code rate gear.

It is understandable that, according to the number of bit rate gears actually required, the corresponding unknown parameters of the bit rate value are constructed, and then substituted into the functional relationship to obtain the corresponding decomposition formula. By traversing the basic data, it can be determined that the value of the total quality parameter is the largest. , the bitrate value and resolution value under each bitrate gear.

To simplify the model, it is assumed that users will take conservative behaviors in order to maintain good video fluency while watching videos. That is, when the user's viewing video bit rate is between the encoding bit rates of two gears in the encoding configuration table, the gear corresponding to the lower bit rate will be selected for viewing; and when the user's viewing video bit rate is lower than the encoding configuration When the lowest gear in the table corresponds to the encoding bit rate, the user can only choose the lowest gear to watch the video.

Then if the code rate corresponding to the lowest gear in the design code configuration table is b _low Kbps, and the code rate corresponding to the highest gear is b _high Kbps, and the relationship 100≤b _low <b _high ≤3000 is satisfied, that is, the code rate range [ n, m] is [100Kbps, 3000Kbps], and the value granularity is 100, then the total quality parameter of the user watching the video in the future will become:

Optionally, the set code rate gear includes a preset first gear and a second gear, and the code rate of the second gear is higher than the first gear; only two different gears are set in the encoding configuration table In the case of the gears, the lowest gear corresponds to a bit rate of b _low Kbps, and the highest gear corresponds to a bit rate of b _high Kbps, then the total quality parameter for users to watch videos in the future is:

After combining the first two terms to the right of the equal sign,

Correspondingly, the formula of the functional relationship can be transformed into:

Among them, b _low represents the code rate of the first gear, b _high represents the code rate of the second gear, and the value range of the code rate is [100,3000], and the unit is Kbps.

Further, in order to design a video encoding configuration table including two gears that maximizes the overall viewing quality of the user, it is only necessary to find the lowest and highest bit rate corresponding to the maximization of the above formula, that is:

It can be understood that f(x) and g(x) respectively correspond to the above-mentioned first mapping information and second mapping information. Since the basic data are some discrete point pairs, there is no need to use mathematical methods to find the total quality parameter of the above formula The target parameter corresponding to the maximum value. Only by traversing all possible situations of the basic data, you can find the bit rate and resolution corresponding to the second-level encoding configuration table when the user's overall viewing quality is the largest (that is, when the total quality parameter is the largest). In the same way, the same method can be used to design the three-level, four-level coding configuration tables or coding configuration tables with different resolutions, but as the types of gears and resolutions increase, the amount of traversed data will increase geometrically. Increase. In practical applications, in order to facilitate video encoding configuration, a smaller number of gears can be set to keep the calculation amount within a controllable and acceptable range. In this way, the calculation of each target resolution and corresponding bit rate of the encoding configuration is completed.

Optionally, during the process of determining the target resolution and the target bit rate, the target information may also be calculated corresponding to different preset resolution levels. Referring to Figure 4, the target resolution and target bit rate determination process under different resolution gears includes:

S1303, traversing the basic data in combination with the preset resolution gear and the corresponding functional relationship;

S1304. Determine the target code rate when the total quality parameter takes the maximum value under the corresponding resolution gear, and use the resolution gear as the corresponding target resolution.

It can be understood that the above functional relationship can be constructed uniformly based on all resolution levels, or can be constructed correspondingly based on different resolution levels. Only the video quality parameter g(x) for overlaying is different. When determining the target resolution and target bit rate in combination with the preset resolution gear and the corresponding functional relationship, the above functional relationship is also referred to, and the basic data is traversed to determine the fixed resolution gear to maximize the total quality parameter. when the target bit rate. At this time, the second mapping information g(x) used for calculating the total quality parameter should be the video quality parameter at the resolution level. For the target resolution, the corresponding resolution is used to obtain the value. For example, if the current resolution is 720P, then 720P is used as the target resolution. In this way, the target resolution and the corresponding target bit rate are determined.

S140. Perform video encoding configuration based on the target resolution and the corresponding target bit rate.

Finally, based on the calculated target resolution and target bit rate, when performing video encoding configuration, as shown in Figure 5, the video encoding process includes:

S1401. Construct an encoding configuration table based on the target resolution and the corresponding target bit rate;

S1402. When performing video encoding configuration, query the encoding configuration table based on the original resolution of the current video, and select a corresponding target bit rate to perform transcoding of the current video.

It can be understood that the encoding configuration table includes different gear rates and corresponding resolution information. According to the original video resolution, you can find the corresponding target bit rate in the encoding configuration table, and then use this bit rate for video encoding, so that the quality of the final output video can be relatively optimal and optimize the video viewing experience of each user .

In addition, the embodiment of the present application also determines the gear information selected by the user terminal, and selects the corresponding target resolution and target bit rate based on the gear information to configure the video encoding of the user terminal. The gear information includes the resolution gear and the bit rate gear. bit. The user-side video playback application will pre-correspond to the gear information mapped to the bit rate and resolution settings of different gears in the encoding configuration table, so that users can choose to meet their own needs, and the playback quality can reach the relatively optimal target resolution and target code rate.

Exemplarily, referring to FIG. 6, the embodiment of the present application first collects basic data when performing video encoding. Collects the distribution of video bitrates watched by users over a period of time related to business videos. And take the abscissa as the video code rate, and the ordinate as the total time that the user watches the video with this code rate during this period, and draws the user's viewing distribution curve (i.e. the first mapping information), which is used to characterize the video during this period. The user's network conditions and preferences. In addition, by collecting a batch of videos that can represent actual business scenarios, multiple encodings are performed according to different resolutions and bit rates, and video quality parameters are calculated. With the code rate as the abscissa and the video quality parameter as the ordinate, different objective quality curves (that is, the second mapping information) are drawn for different resolutions.

Then, combined with the user viewing distribution curve and the objective quality curves of different resolutions, and according to the number of different gears required by the actual business scenario, the encoding configuration table that maximizes the total quality parameters of the video watched by the user is calculated. The encoding configuration table mainly includes the encoding resolution of the video. Rate information and code rate information.

Finally, according to the obtained encoding configuration table, the video in the business scenario is encoded to obtain videos of different gears. In this way, users can choose the appropriate gear to watch according to their needs. By setting the video encoding configuration table that maximizes the overall viewing quality of the user, combined with the bit rate time distribution of the user watching the video and the objective quality curve of the video, the encoding configuration table that maximizes the quality of the video watched by the user is calculated, and the source video is divided into gears. Transcoding to meet the viewing needs of most users.

As mentioned above, by collecting the basic data, the basic data includes the first mapping information of different bit rates and the corresponding total video viewing time, and the second mapping information of different bit rates and corresponding video quality parameters under different resolutions; build all users to watch video The functional relationship between the total quality parameter of the total quality parameter and the first mapping information and the second mapping information; traverse the basic data based on the functional relationship, and determine the target resolution and the corresponding target bit rate under the maximum value of the total quality parameter; based on the target resolution and The corresponding target bit rate is configured for video encoding. Using the above-mentioned technical means, by traversing the basic data to optimize the target resolution and the corresponding target bit rate, video encoding configuration can be performed accurately and reasonably, providing better video quality, and further optimizing the user's video viewing experience.

On the basis of the foregoing embodiments, FIG. 7 is a schematic structural diagram of a video encoding configuration system provided by the present application. Referring to FIG. 7 , the video encoding configuration system provided in this embodiment specifically includes: a collection module 21 , a construction module 22 , a traversal module 23 and a configuration module 24 .

Wherein, the collection module 21 is used to collect basic data, and the basic data includes the first mapping information of different code rates and corresponding video viewing total duration, and the second mapping information of different code rates and corresponding video quality parameters under different resolutions;

Construction module 22 is used for constructing the functional relation of the total quality parameter of all users watching video and the first mapping information and the second mapping information;

The traversal module 23 is used to traverse the basic data based on the functional relationship, and determine the target resolution and the corresponding target code rate under the maximum value of the total quality parameter;

The configuration module 24 is configured to perform video encoding configuration based on the target resolution and the corresponding target bit rate.

Wherein, the traversal module 23 is specifically used to transform the functional relationship according to the preset code rate gear quantity information and the code rate value interval; traverse the basic data based on the transformed functional relationship, and determine the total quality under the corresponding code rate gear. The target resolution and the corresponding target bit rate when the parameter takes the maximum value.

The formula for the functional relationship is:

Wherein, total_quality represents the total quality parameter, x represents the code rate, and the value interval is [n, m], f(x) represents the first mapping information, and g(x) represents the second mapping information.

The traversal module 23 is specifically used to traverse the basic data in combination with the preset resolution gear and the corresponding functional relationship; determine the target code rate when the total quality parameter takes the maximum value under the corresponding resolution gear, and use the resolution gear as the corresponding target resolution.

Wherein, the code rate gear includes a preset first gear and a second gear, and the code rate of the second gear is higher than that of the first gear;

Correspondingly, the formula of the transformed functional relationship is:

Among them, b _low represents the code rate of the first gear, b _high represents the code rate of the second gear, the code rate range is [n, m], the unit is Kbps, and the value granularity is c.

In addition, the configuration module 24 is specifically used to determine the gear information selected by the user terminal, and select the corresponding target resolution and target bit rate based on the gear information to configure the video encoding of the user terminal. The gear information includes the resolution gear and the bit rate gear. bit;

Construct the encoding configuration table based on the target resolution and the corresponding target bit rate; when performing video encoding configuration, query the encoding configuration table based on the original resolution of the current video, and select the corresponding target bit rate to transcode the current video.

As mentioned above, by collecting the basic data, the basic data includes the first mapping information of different bit rates and the corresponding total video viewing time, and the second mapping information of different bit rates and corresponding video quality parameters under different resolutions; build all users to watch video The functional relationship between the total quality parameter of the total quality parameter and the first mapping information and the second mapping information; traverse the basic data based on the functional relationship, and determine the target resolution and the corresponding target bit rate under the maximum value of the total quality parameter; based on the target resolution and The corresponding target bit rate is configured for video encoding. Using the above-mentioned technical means, by traversing the basic data to optimize the target resolution and the corresponding target bit rate, video encoding configuration can be performed accurately and reasonably, providing better video quality, and further optimizing the user's video viewing experience.

The video coding configuration system provided in the embodiment of the present application can be used to execute the video coding configuration method provided in the above embodiment, and has corresponding functions and beneficial effects.

On the basis of the above practical example, the embodiment of the present application also provides a video coding configuration device, referring to FIG. Device 35. The memory 32, as a computer-readable storage medium, can be used to store software programs, computer-executable programs and modules, such as program instructions/modules corresponding to the video encoding configuration method described in any embodiment of the present application (for example, video encoding configuration system collection module, building module, traversal module, and configuration module) in . The communication module 33 is used for data transmission. The processor 31 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory, that is, realizes the above-mentioned video encoding configuration method. The input device 34 can be used for receiving inputted numerical or character information, and generating key signal input related to user setting and function control of the device. The output device 35 may include a display device such as a display screen. The video coding configuration device provided above can be used to execute the video coding configuration method provided in the above embodiment, and has corresponding functions and beneficial effects.

On the basis of the above-mentioned embodiments, the embodiments of the present application also provide a storage medium containing computer-executable instructions, the computer-executable instructions are used to execute a video encoding configuration method when executed by a computer processor, and the storage medium It can be any of various types of memory devices or storage devices. Of course, a storage medium containing computer-executable instructions provided in the embodiments of the present application, the computer-executable instructions are not limited to the above-mentioned video encoding configuration method, and may also implement the video encoding configuration provided in any embodiment of the application Related operations in the method.

The above are only preferred embodiments of the present application and the applied technical principles. The present application is not limited to the specific embodiments described here, and various obvious changes, readjustments and substitutions that can be made by those skilled in the art will not depart from the protection scope of the present application. Therefore, although the present application has been described in detail through the above embodiments, the present application is not limited to the above embodiments, and can also include more other equivalent embodiments without departing from the concept of the present application, and the present application The scope is determined by the scope of the claims.

Claims (10)

1. A video coding configuration method, characterized in that, comprising:

   collecting basic data, the basic data including the first mapping information of different bit rates and corresponding video viewing total duration, and the second mapping information of different bit rates and corresponding video quality parameters under different resolutions;

   Constructing the functional relationship between the total quality parameters of all users watching videos and the first mapping information and the second mapping information;

   Traverse the basic data based on the functional relationship, and determine a target resolution and a corresponding target bit rate when the total quality parameter takes a maximum value;

   Perform video encoding configuration based on the target resolution and the corresponding target bit rate.
2. The video encoding configuration method according to claim 1, wherein the basic data is traversed based on the functional relationship, and the target resolution and the corresponding target bit rate are determined when the total quality parameter takes the maximum value ,include:

   Transforming the functional relationship according to the preset code rate stall number information and code rate value interval;

   Traverse the basic data based on the transformed functional relationship, and determine a target resolution and a corresponding target code rate when the total quality parameter takes a maximum value under a corresponding code rate gear.
3. The video coding configuration method according to claim 2, wherein the formula of the functional relationship is:

   

   Wherein, total_quality represents the total quality parameter, x represents a code rate, and the value range is [n, m], f(x) represents the first mapping information, and g(x) represents the second mapping information.
4. The video encoding configuration method according to claim 3, wherein the basic data is traversed based on the functional relationship, and the target resolution and the corresponding target bit rate are determined when the total quality parameter takes the maximum value ,include:

   Combining the preset resolution gear and the corresponding functional relationship to traverse the basic data;

   Determine the target code rate when the total quality parameter takes the maximum value under the corresponding resolution gear, and use the resolution gear as the corresponding target resolution.
5. The video encoding configuration method according to claim 4, wherein the code rate gear includes a preset first gear and a second gear, and the code rate of the second gear is higher than the first gear;

   Correspondingly, the formula of the functional relationship after transformation is:

   

   Wherein, b _low represents the code rate of the first gear, b _high represents the code rate of the second gear, the code rate range is [n, m], the unit is Kbps, and the value granularity is c.
6. The video coding configuration method according to claim 4, wherein the video coding configuration based on the target resolution and the corresponding target bit rate includes:

   Determine the gear information selected by the user terminal, and select a corresponding target resolution and target bit rate based on the gear information to perform video encoding configuration on the user end, where the gear information includes a resolution gear and a code rate gear.
7. The video encoding configuration method according to claim 1, wherein the performing video encoding configuration based on the target resolution and the corresponding target bit rate further comprises:

   Constructing an encoding configuration table based on the target resolution and the corresponding target bit rate;

   When performing video encoding configuration, the encoding configuration table is queried based on the original resolution of the current video, and a corresponding target bit rate is selected for transcoding of the current video.
8. A video coding configuration system, characterized in that it includes:

   The collection module is used to collect basic data, and the basic data includes first mapping information of different bit rates and corresponding video viewing total duration, and second mapping information of different bit rates and corresponding video quality parameters under different resolutions;

   A building block for building a functional relationship between the total quality parameters of all users watching videos and the first mapping information and the second mapping information;

   A traversal module, configured to traverse the basic data based on the functional relationship, and determine a target resolution and a corresponding target bit rate when the total quality parameter takes a maximum value;

   A configuration module, configured to perform video encoding configuration based on the target resolution and the corresponding target bit rate.
9. A video encoding configuration device, characterized in that it includes:

   memory and one or more processors;

   The memory is used to store one or more programs;

   When the one or more programs are executed by the one or more processors, the one or more processors are made to implement the video encoding configuration method according to any one of claims 1-7.
10. A storage medium containing computer-executable instructions, wherein the computer-executable instructions are used to execute the video encoding configuration method according to any one of claims 1-7 when executed by a computer processor.

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