CN115955564A - Video coding method, device, equipment and medium - Google Patents

Abstract

The invention discloses a video coding method, a device, equipment and a medium, wherein the invention obtains the motion condition of each video frame to determine the motion grade, determines the target code rate of the current video frame based on the motion grade, determines the target bit allocated by the video frame according to the target code rate, obtains the quantization parameter of the video frame according to the target bit mapping, and codes each video frame in the target video according to the quantization parameter of each video frame in the target video to obtain a compressed code stream.

Description

A video encoding method, device, equipment and medium

technical field

The present invention relates to the technical field of video encoding and decoding, in particular to a video encoding method, device, equipment and medium.

Background technique

Video codec technology aims to compress the collected video into data in different standard formats for transmission or storage. Video codec standards include H.264/Advanced Video Coding (AVC), H. .265/High Efficiency Video Coding (HEVC), H.266/Versatile Video Coding (VVC), etc.

Bit rate control is one of the key technologies of video coding standards. By adjusting the coding parameters in the coding process, video data can be compressed, and then the bit rate at each moment can be controlled. Each picture in the video is called a frame, and the compressed size of a frame is related to the parameters of the encoder during the encoding process. These parameters include frame type, motion information, quantization parameter (Quanlization Parameter, QP), etc. The quantization parameter in the above parameters controls the amount of data lost during the lossy quantization process, and has a direct impact on the size of the encoded frame.

In the prior art, the commonly used ways of performing bit rate control based on quantization parameters are: constant bit rate (Constant Bit Rate, CBR) and variable bit rate (Variable Bit Rate, VBR). CBR has stricter requirements on bit rate control than VBR, because CBR requires local bit rates to remain constant, while VBR allows local bit rates to fluctuate within a certain range while maintaining the stability of subjective quality. With the development of multimedia technology, the performance requirements for bit rate control of video streams have also increased. For CBR, an accurate bit rate control can satisfy the data transmitted without wasting bandwidth to the greatest extent. For VBR, then It can save the bit rate as much as possible while maintaining the subjective quality.

Code rate control generally controls the code rate from three levels, namely: Group of Picture (GOP) level, frame level, and macroblock level; GOP level code control means that video is usually divided into multiple levels during encoding. A continuous GOP is the largest unit for processing in the rate control process. The GOP-level code control process will reasonably allocate the target number of bits for each GOP according to the target code rate and buffer status; frame-level code control refers to each Multiple video frames will be included in the GOP, and the frame-level code control process will allocate the target number of bits for each frame of image according to the total target number of bits of the GOP and the characteristics of the video frame; Each coded macroblock is analyzed separately, and the bits of the macroblock are obtained according to the characteristics of each coded macroblock; when the quantization parameters are calculated according to the bits of the GOP level, frame level, and macroblock level, the rate-distortion theory is used. In data compression, distortion theory provides a theoretical limit and comparison standard for the performance of data compression. The method of improving video compression quality by relying on rate-distortion theory is called rate-distortion optimization (RDO); R-λ model is used as a code One of the rate control models uses rate-distortion optimization. The mathematical relationship model between the allocated bits (R) and the rate-distortion parameter (λ) is constructed through the R-λ model, and then the rate-distortion parameter (λ) and the The mapping relationship between quantization parameters (QP) is calculated to obtain the quantization parameters, thereby controlling the size of the code rate. The R-Q model directly constructs the mathematical relationship model between the allocated bit (R) and the quantization factor (Qscale), and then calculates the QP by Qscale.

In the video monitoring scene discrimination method and its monitoring image encoding method and device in the prior art, the previous video frame and the current video frame obtained by monitoring are subtracted to obtain a residual frame, and then the number of non-zero pixels in the residual frame is counted The ratio of all pixels to the residual frame. If the ratio is greater than the set threshold, the current scene is considered to be a motion scene, otherwise it is a static scene. For the identified motion scene or static scene, the image encoding of the motion scene or static scene is used method, thereby realizing the monitoring image coding.

However, in the prior art, in a static scene, the pixel values between two frames basically still have partial differences, and the ratio of non-zero pixels to all pixels is directly used to determine whether it is a moving scene or a static scene, which is prone to misjudgment; And for a scene, it is only roughly divided into a motion scene and a static scene, and in practical applications, there are many situations, such as a large motion scene, a medium motion scene, a small motion scene, a static scene, etc.; therefore, the video coding method saves Bit rate is less effective.

Contents of the invention

The present invention provides a video coding method, device, equipment and medium to solve the problem that the existing video coding method has poor bit rate saving effect.

The present invention provides a video encoding method, the method comprising:

Get each video frame in the target video;

For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle;

For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

For each video frame, input the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames contained in the group of pictures into the bit determination function of the video frame, and determine the target bit of the output video frame;

For each video frame, the target bit of the video frame is input to the code rate control model to obtain the quantization parameter of the video frame output;

Encoding each video frame in the target video according to the quantization parameter of each video frame in the target video to obtain a compressed code stream.

Further, the determination of the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame includes:

Determine the front background mask image of the video frame, determine the foreground image blocks in the video frame according to the front background mask image, and determine the foreground image blocks in the video frame according to the first number of foreground image blocks in the video frame and the total number of image blocks in the video frame Quantity, to obtain a target ratio of the first quantity to the total quantity.

Further, after the video frame is detected to determine the foreground background mask image of the video frame, before the foreground image block in the video frame is determined according to the foreground background mask image, the method further includes:

Mark the connected domains on the foreground and background mask images, and determine the first parameter value of the preset parameters of each connected domain, wherein the preset parameters are the area of the connected domain or the number of pixels in the connected domain, for each connected domain Domain, judge whether the first parameter value of the connected domain is less than the first preset threshold, if it is filled with the mask values of all pixels in the connected domain as the background mask value, if not, the mask values of all pixels in the connected domain The film values are all filled as the foreground mask value, and the updated foreground and background mask image is obtained;

An updated foreground image block in the video frame is determined according to the updated foreground and background mask image.

Further, before performing connected domain marking on the foreground and background mask image, the method further includes:

According to the foreground and background mask image, determine the first ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the first ratio, the second preset threshold and the third preset Threshold, judging whether the first ratio is less than the second preset threshold, wherein the third preset threshold is greater than the second preset threshold, if so, first expand and then corrode the front and background mask image If not, judge whether the first ratio is greater than the third preset threshold, if yes, perform erosion and then dilation processing on the foreground and background mask image, if not, do not perform processing.

Further, inputting the target code rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame, and determining the output target bit of the video frame includes:

If the video frame is a key frame, judge whether the video frame is the first key frame, if so, determine the first product value of the maximum bit of the picture group and the preset coefficient, and determine the first product value as the video frame The target bit of the frame, if not, then determine the second ratio of the target code rate coefficient of the video frame and the code rate coefficient of the last frame of the video frame, and determine the second ratio and the last ratio of the video frame A second product value of the bits of a frame, determining the second product value as the target bit of the video frame;

If the video frame is a non-key frame, then determine the first difference between the maximum bit minus the bit of the first key frame, and determine the second difference between the number of video frames included in the group of pictures minus the preset number, according to the determined The third ratio between the first difference and the second difference, and the target code rate coefficient, determine the third product value of the third ratio and the target code rate coefficient of the video frame, and convert the The third product value is determined as the target bit of the video frame.

Correspondingly, the present invention provides a video encoding method, the method comprising:

Get each video frame in the target video;

For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle;

For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

For each video frame, the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames included in the group of pictures are input into the bit determination function of the video frame, and the target bit of the output video frame is determined, According to the pixel value of each pixel of the video frame, determine each second parameter value of the texture complexity of the video frame and each image block of the video frame, wherein the texture complexity is gradient, variance, average Any of the parameters such as absolute difference and absolute error sum;

For each image block of the video frame, determine a fourth ratio between the second parameter value of the image block and the second parameter value of the video frame, and determine the ratio between the fourth ratio and the target bit of the video frame The fourth product value is the first bit of the image block, and the first bit of the image block is input to the code rate control model to obtain the output candidate quantization parameter of the image block;

If the image block is a foreground image block, according to the pre-saved second mapping relationship, determine the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship, if the image block is a background image block , according to a pre-stored third mapping relationship, determine a target quantization parameter corresponding to the candidate quantization parameter of the image block in the third mapping relationship;

Encoding each image block of each video frame in the target video according to the target quantization parameter of each image block in each video frame in the target video.

Correspondingly, the present invention provides a video encoding device, the device comprising:

Obtain module, be used for obtaining each video frame in target video;

The first determining module is used to divide the video frame into each image block of a preset size for each video frame, and determine that the number of foreground image blocks in the video frame accounts for the total number of image blocks in the video frame Target ratio, according to the corresponding relationship between the target ratio and the value range and the motion level, determine that the motion level corresponding to the target value range where the target ratio is located is the target motion level of the video frame, wherein the preset size is a single pixel point size or rectangle size with preset side lengths;

The second determination module is used to determine the target code rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the code rate coefficient and the motion level for each video frame;

The third determining module is used to input the target code rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame for each video frame, and determine the output the target bits for the video frame;

The fourth determining module is used for each video frame, inputting the target bit of the video frame into the code rate control model to obtain the output quantization parameter of the video frame;

An encoding module, configured to encode each video frame in the target video according to the quantization parameter of each video frame in the target video to obtain a compressed code stream.

Further, the first determination module is specifically configured to determine the foreground background mask image of the video frame, determine the foreground image block in the video frame according to the foreground background mask image, and determine the foreground image block in the video frame according to the foreground image block in the video frame. and the total number of image blocks in the video frame to obtain a target ratio of the first number to the total number.

Further, the first determining module is also used for determining the foreground in the video frame according to the foreground and background mask image after the detection of the video frame and determining the foreground and background mask image of the video frame Before the image block, mark the connected domains on the foreground and background mask image, and determine the first parameter value of the preset parameter of each connected domain, wherein the preset parameter is the area of the connected domain or the number of pixels in the connected domain, For each connected domain, it is judged whether the first parameter value of the connected domain is less than the first preset threshold, if the mask values of all pixels in the connected domain are filled with the background mask value, if not, all pixel points in the connected domain are The mask values of the pixels are filled with foreground mask values to obtain an updated foreground and background mask image; according to the updated foreground and background mask image, an updated foreground image block in the video frame is determined.

Further, the first determination module is also used to determine the number of foreground image blocks in the video frame according to the foreground and background mask images before performing connected domain marking on the foreground and background mask images. According to the first ratio of the total number of image blocks in the video frame, according to the first ratio, the second preset threshold and the third preset threshold, it is judged whether the first ratio is smaller than the second preset threshold, wherein the The third preset threshold is greater than the second preset threshold, if yes, first expand and then corrode the front and background mask image; if not, judge whether the first ratio is greater than the third preset threshold , if yes, first corrode and then dilate the foreground and background mask image, if not, do not process.

Further, the third determination module is specifically used to determine whether the video frame is the first key frame if the video frame is a key frame, and if so, determine the first product of the maximum bit of the picture group and the preset coefficient value, determining the first product value as the target bit of the video frame, if not, determining the second ratio of the target bit rate coefficient of the video frame to the bit rate coefficient of the previous frame of the video frame, And determine the second product value of the second ratio and the bit of the previous frame of the video frame, and determine the second product value as the target bit of the video frame; if the video frame is a non-key frame, then determine The first difference value of the maximum bit minus the bit of the first key frame, and determine the second difference value of the number of video frames contained in the group of pictures minus the preset number, according to the first difference value and the second difference value The third ratio of the value, and the target code rate coefficient, determine the third product value of the third ratio and the target code rate coefficient of the video frame, and determine the third product value as the video frame target bits.

Correspondingly, the present invention provides a video encoding device, the device comprising:

Obtain module, be used for obtaining each video frame in target video;

The first determining module is used to divide the video frame into each image block of a preset size for each video frame, and determine that the number of foreground image blocks in the video frame accounts for the total number of image blocks in the video frame Target ratio, according to the corresponding relationship between the target ratio and the value range and the motion level, determine that the motion level corresponding to the target value range where the target ratio is located is the target motion level of the video frame, wherein the preset size is a single pixel point size or rectangle size with preset side lengths;

The second determination module is used to determine the target code rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the code rate coefficient and the motion level for each video frame;

The third determining module is used to input the target code rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame for each video frame, and determine the output The target bit of the video frame determines each second parameter value of the texture complexity of the video frame and each image block of the video frame according to the pixel value of each pixel of the video frame, wherein the texture complexity The degree is any one of parameters such as gradient, variance, mean absolute difference and absolute error sum;

The fourth determination module is used to determine, for each image block of the video frame, a fourth ratio between the second parameter value of the image block and the second parameter value of the video frame, and determine the ratio between the fourth ratio and the video frame The fourth product value of the target bit of the frame is the first bit of the image block, and the first bit of the image block is input to the code rate control model to obtain the output candidate quantization parameter of the image block;

The fifth determination module is configured to determine, if the image block is a foreground image block, the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship according to the pre-stored second mapping relationship, if The image block is a background image block, and according to a pre-stored third mapping relationship, determine a target quantization parameter corresponding to the candidate quantization parameter of the image block in the third mapping relationship;

The encoding module is specifically configured to encode each image block of each video frame in the target video according to the target quantization parameter of each image block of each video frame in the target video to obtain compressed subsequent code stream.

Correspondingly, the present invention provides an electronic device, including: a processor, a communication interface, a memory, and a communication bus, wherein, the processor, the communication interface, and the memory complete mutual communication through the communication bus;

A computer program is stored in the memory, and when the program is executed by the processor, the processor is made to implement the steps of any one of the above video encoding methods.

Correspondingly, the present invention provides a computer-readable storage medium, which stores a computer program, and when the computer program is executed by a processor, the steps of any one of the above video encoding methods are implemented.

The present invention provides a video coding method, device, device and medium. In the present invention, for each video frame, the video frame is divided into each image block of a preset size, and by detecting individual foreground image blocks in the video frame Number accounts for the target ratio of the total number of image blocks, according to the corresponding relationship between the target ratio and the numerical range and the motion level, determine the target motion level corresponding to the target numerical range where the target ratio is located, and according to the target motion level of the video frame and the code rate coefficient The first mapping relationship with the motion level determines the target code rate coefficient of the video frame, and inputs the target code rate coefficient, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame to determine the target of the video frame The bit is input to the maximum bit of the picture group, and the target bit of the video frame is determined to be input to the code rate control model to obtain the output quantization parameter, based on the quantization parameter of each video frame in the target video, for each video frame in the target video Encoding is performed to obtain the compressed code stream. Since the present invention obtains the motion of each video frame to determine the motion level, and determines the target code rate of the current video frame based on the motion level, and determines the target bits allocated by the video frame according to the target code rate, The quantization parameter of the video frame is obtained according to the target bitmap, and each video frame in the target video is encoded according to the quantization parameter of each video frame in the target video to obtain a compressed code stream. Compared with the prior art, the video is simply encoded The scenes in the frame are divided into moving scenes and static scenes, and then adopt the corresponding fixed encoding method for encoding. The present invention realizes using a higher target bit rate when moving, and actively reducing the target bit rate when still, thereby saving The purpose of the overall code rate.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings that need to be used in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are only some embodiments of the present invention. For Those of ordinary skill in the art can also obtain other drawings based on these drawings without any creative effort.

FIG. 1 is a schematic diagram of a process of a video encoding method provided by an embodiment of the present invention;

FIG. 2 is a schematic diagram of a linear relationship between a target motion level and a code rate coefficient provided by an embodiment of the present invention;

FIG. 3 is a schematic structural diagram of a video encoding device provided by an embodiment of the present invention;

FIG. 4 is a schematic structural diagram of a video encoding device provided by an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of a video encoding device provided by an embodiment of the present invention;

FIG. 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

In order to improve the accuracy of bit rate control to save bit rate during video encoding, the embodiments of the present invention provide a video encoding method, device, device and medium.

Example 1:

Fig. 1 is a schematic diagram of the process of a video coding method provided by an embodiment of the present invention, the process includes the following steps:

S101: Obtain each video frame in the target video.

In order to improve the accuracy of bit rate control to save bit rate during video encoding, a video encoding method provided by an embodiment of the present invention is applied to electronic equipment. The video encoding method is a frame-level encoding method for video. That is, by determining the quantization parameters of each video frame in the video, the code stream after video compression is determined; the electronic device can be a smart terminal device such as a host, a tablet computer, a notebook computer, a smart phone, or a server, and the server can It may be a local server or a cloud server, which is not limited in this embodiment of the present invention.

The electronic device obtains the target video, specifically, it may collect the target video through the image acquisition device of the electronic device itself, or receive the target video by connecting other devices with the electronic device, or obtain the electronic device itself to save the target video in advance. The target video is not limited in this embodiment of the present invention; after the target video is acquired, the electronic device acquires each video frame from the target video frame.

S102: For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the The target ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or a preset The size of the rectangle with side length.

For each video frame, the electronic device divides the video frame into each image block of a preset size, wherein the preset size is preset by the user, wherein the preset size is the size of a single pixel or a preset side length Rectangle size, if you want to improve the accuracy of bit rate control, you can set the preset side length to be smaller, if you want to improve the efficiency of image encoding, you can set the preset side length to be smaller; for example, set A video frame with a width of W and a height of H is divided into non-overlapping image blocks, and the size of the image blocks is MxN.

The electronic device detects the video frame to determine the foreground image block in each image block. The foreground refers to the person or scene in front of the subject or close to the lens position, and the foreground image block can also be called a moving image block; according to the foreground image The number of blocks and the total number of image blocks in the video frame determine the target ratio of the number of foreground image blocks to the total number of image blocks.

In order to determine the motion level of the video frame, the electronic device pre-stores the corresponding relationship between the numerical range and the motion level, and determines the target numerical range where the target ratio is located according to the determined target ratio; according to the target numerical range, and the numerical range and Correspondence between motion levels, determine the motion level corresponding to the target value range as the target motion level; the smaller the target motion level, the closer the video frame is to the static scene, less bits can be allocated, and the higher the target motion level, the video frame The closer to the motion scene, the more bits need to be allocated.

For example, the corresponding relationship between the numerical range and the motion grade can be expressed as: when obj _ratio <0, motion_grade=0; when obj _ratio <1.0, motion_grade=1; when obj _ratio <2.0, motion_grade=2; when obj _ratio <4.0, motion_grade= 3; when obj _ratio <8.0, motion_grade=4; when obj _ratio <12, motion_grade=5; when obj _ratio <16, motion_grade=6; when obj _ratio <20, motion_grade=7; when obj _ratio <24, motion_grade= 8; when obj _ratio ≥ 24, motion_grade=9; where motion_grade represents the motion grade, obj_ratio represents the ratio of the foreground image block to the total number of image blocks, when the ratio is less than 0.5, the corresponding motion grade is 0; when the ratio is not less than 0.5 and less than 1.0, The corresponding exercise level is 1; when the ratio is not less than 1.0 and less than 2.0, the corresponding exercise level is 2; when the ratio is not less than 2.0 and less than 4.0, the corresponding exercise level is 3; when the ratio is not less than 4.0 and less than 8.0, the corresponding exercise level is 4. When the ratio is not less than 8.0 and less than 12, the corresponding exercise level is 5; when the ratio is not less than 12 and less than 16, the corresponding exercise level is 6; when the ratio is not less than 16 and less than 20, the corresponding exercise level is 7; the ratio is not less than When 20 is less than 24, the corresponding exercise level is 8; when the ratio is not less than 24, the corresponding exercise level is 9.

S103: For each video frame, determine a target bit rate coefficient of the video frame according to the target motion level of the video frame and a first mapping relationship between the bit rate coefficient and the motion level.

In order to determine the code rate coefficient assigned to the video frame, the electronic device pre-saves the first mapping relationship between the code rate coefficient and the motion level, and determines the corresponding value of the target motion level in the first mapping relationship according to the determined target motion level. The code rate coefficient is the target code rate coefficient of the video frame.

The method for determining the target bit of the video frame in the present invention will be described below through a specific embodiment, and the first mapping relationship of the code rate coefficient rate_grade calculated according to the target motion grade motion_grade is exemplified with a linear relationship, if the video frame is Key frame: rate_grade=(a+b*motion_grade) ^α1 ; if the video frame is a non-key frame: rate_grade=(a+b*motion_grade) ^α2 , generally, a here can be taken as 0.05, indicating the lower limit of the code rate, b 0.1 is desirable.

Figure 2 is a schematic diagram of a linear relationship between a target motion level and a code rate coefficient provided by an embodiment of the present invention. As shown in Figure 2, the horizontal axis x is expressed as (0.05+0.1*motion_grade), and the vertical axis y is expressed as code rate Coefficient rate_grade, the value of α corresponding to each line from top to bottom in Figure 2 (up and down in Figure 2) is 1/8, 1/4, 1/2, 1, 3/2, 2, 4 ,8. For key frames, in order to allocate as many bits as possible in large motion scenes, for example, x is 0.7-0.9, etc., and its coefficient α1 can be 0.5. For non-key frames, in order to allocate as few bits as possible under static conditions, for example, x is between 0.1 and 0.5, the coefficient α2 is selected to be 1.5.

If the current frame is a non-key frame and the motion_grade is 3, the base_ratio+0.1*motion_grade is 0.35, so according to Figure 2, the rate_grade is 0.21.

S104: For each video frame, input the target code rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame, and determine the output target of the video frame bit.

For each video frame, according to the target bit rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group, input the target bit rate coefficient, the maximum bit and the number of frames into the bit determination function of the video frame, and determine the output The target bits for which the video frame is assigned.

S105: For each video frame, input the target bits of the video frame into the rate control model to obtain an output quantization parameter of the video frame.

For each video frame, the target bit of the video frame is input to the code rate control model to obtain the quantization parameter of the output video frame; wherein the code rate control model can be an R-λ model or an R-Q model, and the present invention The embodiment does not limit this.

For example, when the code rate control model can be an R-λ model, the specific formula is λ=α·R ^β , QP=4.2005·ln(λ)+13.7122; wherein R represents the target bit of the video frame, and λ represents the rate-distortion parameter, and the parameter α and β are coefficients related to mapping, and will be updated every frame.

S106: Encode each video frame in the target video according to the quantization parameter of each video frame in the target video, to obtain a compressed code stream.

After determining the quantization parameters of each video frame in the target video, each video frame in the target video is encoded according to each quantization parameter, and the compressed code stream composed of each compressed video frame is obtained; specifically, according to the quantization The method for encoding video frames by parameters is in the prior art, and will not be described in detail in this embodiment of the present invention.

Since in the embodiment of the present invention, for each video frame, the video frame is divided into each image block of a preset size, by detecting the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks, according to the target The corresponding relationship between the ratio and the value range and the motion level, determine the target motion level corresponding to the target value range where the target ratio is located, and determine the target motion level according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level. The target bit rate coefficient of the video frame, so that a higher target bit rate coefficient is used when the motion level is large, and the target bit rate coefficient is actively reduced when it is still, and the target bit rate coefficient, the maximum bit of the picture group and the picture group include The number of frames is input to the bit determination function of the video frame, the target bit of the video frame is determined to be input to the maximum bit of the group of pictures, the target bit of the video frame is determined to be input to the code rate control model, and the output quantization parameter is obtained, based on the target bit in the target video Describe the quantization parameters of each video frame, encode each video frame in the target video, and obtain the compressed code stream, because the present invention obtains the motion of each video frame to determine the motion level, and determines the current level based on the motion level The target code rate of the video frame, according to the target code rate to determine the target bit allocation of the video frame, according to the target bit mapping to obtain the quantization parameter of the video frame, according to the quantization parameter of each video frame in the target video, for each video frame in the target video Encoding is carried out to obtain the compressed code stream. Compared with the prior art, the scene in the video frame is simply divided into a moving scene and a static scene, and then a corresponding fixed coding method is used for coding. The present invention realizes the Use a higher target bit rate, and actively reduce the target bit rate when it is still, so as to save the overall bit rate.

Example 2:

In order to determine the target ratio of the number of foreground image blocks to the total number of image blocks, on the basis of the above embodiments, in the embodiment of the present invention, the determination of the number of foreground image blocks in the video frame accounts for the video frame Target ratios for the total number of image blocks include:

Determine the front background mask image of the video frame, determine the foreground image blocks in the video frame according to the front background mask image, and determine the foreground image blocks in the video frame according to the first number of foreground image blocks in the video frame and the total number of image blocks in the video frame Quantity, to obtain a target ratio of the first quantity to the total quantity.

In order to determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, the electronic device detects the video frame to determine the foreground and background mask image of the video frame. The Gaussian mixture model, the frame difference method, and the optical flow method are used for detection, which are not limited in this embodiment of the present invention.

When the preset size is the size of a single pixel, the size of the detected front and background mask image is the same as the size of the video frame. When the preset size is the size of a rectangle with a preset side length, for example, a rectangle with a preset size of MxN When the size is WxH, when the size of the video frame is WxH, the length of the foreground and background mask image is W/M, and the width is H/N.

M表示为图像块的行大小，N表示为图像块的宽大小，此处均为8，Cur表示当前图像块的像素值，Pre表示前一帧对应位置的图像块的像素值。For example, when the electronic device uses the frame difference method to detect the video frame, the size of the video frame is 1920x1080, and after dividing it into 8x8 non-overlapping blocks, calculate the image corresponding to the position of each image block and the previous frame The difference diff value of the block, where

M represents the row size of the image block, N represents the width of the image block, both here are 8, Cur represents the pixel value of the current image block, and Pre represents the pixel value of the image block at the corresponding position in the previous frame.

If the current block diff is greater than the set threshold T1, the current block is considered to be a foreground image block, which can also be recorded as a moving image block, otherwise the current image block is a background image block, which is also recorded as a still image block. Generally, here T1 can take a value of 20, and do the same processing on all image blocks of the video frame to obtain the foreground and background conditions of the entire frame, and set the mask value of the pixel point of the foreground image block in the corresponding position of the foreground and background mask image to Preset the foreground mask value, set the mask value of the pixel point of the background image block in the corresponding position of the front background mask image as the preset background mask value, thereby obtaining the front background mask image of the video frame; the video frame The size of the foreground and background mask images is 240x135.

After determining the foreground and background mask image of the video frame, according to the mask value of each pixel in the foreground and background mask image, the image block at the corresponding position of the pixel whose mask value is determined to be the preset foreground mask value is Foreground image blocks: determining a target ratio of the first number to the total number according to the first number of foreground image blocks and the total number of image blocks.

Example 3:

In order to improve the accuracy of determining the foreground image block, on the basis of the above embodiments, in the embodiment of the present invention, after the video frame is detected to determine the foreground and background mask image of the video frame, the Before the foreground image block in the video frame is determined by the front background mask image, the method also includes:

Mark the connected domains on the foreground and background mask images, and determine the first parameter value of the preset parameters of each connected domain, wherein the preset parameters are the area of the connected domain or the number of pixels in the connected domain, for each connected domain Domain, judge whether the first parameter value of the connected domain is less than the first preset threshold, if it is filled with the mask values of all pixels in the connected domain as the background mask value, if not, the mask values of all pixels in the connected domain The film values are all filled as the foreground mask value, and the updated foreground and background mask image is obtained;

An updated foreground image block in the video frame is determined according to the updated foreground and background mask image.

The electronic device marks the connected domains of the front-background mask image, determines each connected domain in the front-background mask image, and determines the first parameter value of the preset parameter according to each connected domain determined, wherein the preset parameter is the connected domain area or the number of pixels in the connected domain.

For each connected domain, the electronic device compares the first parameter value of the connected domain to determine whether the first parameter value of the connected domain is less than a first preset threshold, and if the first parameter value of the connected domain is less than the first If the threshold is preset, the connected domain is considered to belong to the connected domain formed by the edge of the background or noise, so the mask values of all pixels in the connected domain are filled with the background mask value; if the first parameter value of the connected domain If it is not less than the first preset threshold, the mask values of all pixels in the connected domain are filled as foreground mask values, thereby obtaining a relatively complete foreground image block and improving the integrity and accuracy of foreground and background mask detection.

In order to further improve the integrity and accuracy of foreground and background mask detection, in the embodiment of the present invention, before performing connected domain marking on the foreground and background mask image, the method further includes:

According to the foreground and background mask image, determine the first ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the first ratio, the second preset threshold and the third preset Threshold, judging whether the first ratio is less than the second preset threshold, wherein the third preset threshold is greater than the second preset threshold, if so, first expand and then corrode the front and background mask image If not, judge whether the first ratio is greater than the third preset threshold, if yes, perform erosion and then dilation processing on the foreground and background mask image, if not, do not perform processing.

The electronic device determines the number of foreground image blocks in the video frame and the total number of image blocks in the video frame according to the foreground and background mask images, and determines the first ratio between the number of foreground image blocks and the total number of image blocks, according to The first ratio, the second preset threshold and the third preset threshold determine whether the first ratio is smaller than the second preset threshold, if the first ratio is smaller than the second preset threshold, it is considered that the foreground detection result is not complete enough, and the foreground There may be holes, etc., so the morphological processing of the front and background mask images is first expanded and then corroded; the first dilated and then corroded is used to fill the small holes in the object, connect adjacent objects, and smooth their boundaries.

If the first ratio is not less than the second preset threshold, it is judged whether the first ratio is greater than the third preset threshold, if the first ratio is greater than the third preset threshold, it is considered that the foreground detection result is relatively complete, and there may be some Background interference, so the morphological processing of the front and background mask image is first corroded and then expanded to eliminate the influence of isolated points in the background. Corrosion and expansion are usually used to eliminate small objects, separate objects at slender points, and smooth larger ones. Object boundary; if the first ratio is not greater than the third preset threshold, it is considered that the foreground detection result at this time is basically complete, and the interference of the background is also negligible, so no morphological processing is performed on the front-background mask image.

Among them, the erosion algorithm uses an NxN matrix of all 1s to scan each pixel in the front and background mask image, that is, the central element of the matrix corresponds to the pixel position of the front and background mask image, and each pixel in the matrix Perform a logical "AND" operation with the pixel values of the covered pixels. If the result of the operation is 1, the pixel value of the pixel is 1, otherwise it is 0; the dilation operation uses an NxN matrix of all 1s to scan the front and background mask Each pixel in the film image, that is, the central element of the matrix corresponds to the pixel position of the front-background mask image, and the logical "OR" operation is performed between each pixel in the matrix and the pixel value of the pixel it covers, if If the operation results are all 0, then the pixel is 0, otherwise it is 1.

For example, the electronic device performs the following processing on the foreground and background mask image: if P _foreground < T2, first expand and then corrode; if P _foreground > T3, first corrode and then expand; if T2 < P _foreground < T3, then do not process ; where P _foreground represents the proportion of the foreground image block in a frame, between 0-1, the specific values of T2 and T3 are 0.15 and 0.20 respectively, and it is a 3x3 matrix with all 1s during erosion and expansion.

Since in the embodiment of the present invention, adaptive morphological processing and connected domain calculation are performed on the foreground and background mask images, it is possible to remove isolated noise points and improve the integrity and accuracy of moving foreground detection. Compared with the prior art using preprocessing The frame is used to determine whether the current scene is a motion scene or a static scene. The method is simpler and there is no delay problem.

Example 4:

In order to determine the target bit of the video frame, on the basis of the above embodiments, in the embodiment of the present invention, the target bit rate coefficient of the video frame, the maximum bit of the picture group, and the frames included in the picture group The bit determination function of quantity input video frame, the target bit of this video frame that determines output comprises:

If the video frame is a key frame, judge whether the video frame is the first key frame, if so, determine the first product value of the maximum bit of the picture group and the preset coefficient, and determine the first product value as the video frame The target bit of the frame, if not, then determine the second ratio of the target code rate coefficient of the video frame and the code rate coefficient of the last frame of the video frame, and determine the second ratio and the last ratio of the video frame A second product value of the bits of a frame, determining the second product value as the target bit of the video frame;

If the video frame is a non-key frame, then determine the first difference between the maximum bit minus the bit of the first key frame, and determine the second difference between the number of video frames included in the group of pictures minus the preset number, according to the determined The third ratio between the first difference and the second difference, and the target code rate coefficient, determine the third product value of the third ratio and the target code rate coefficient of the video frame, and convert the The third product value is determined as the target bit of the video frame.

计算方法为

其中duration表示编码一帧的时间，bitrate表示设定的目标码率，因此duration*bitrate计算得到的一帧最大比特，Size_Gop表示GOP包含的帧数量。When the electronic device determines the target bit of the video frame, if the video frame is a key frame, then judge whether the video frame is the first key frame, if the video frame is the first key frame, then according to the picture group The maximum bit and the preset coefficient determine the first product value of the maximum bit and the preset coefficient, and determine the first product value as the target bit of the video frame; wherein the maximum bit of the picture group

The calculation method is

Among them, duration indicates the time to encode one frame, bitrate indicates the set target bit rate, so the maximum bit of a frame calculated by duration*bitrate, and Size _Gop indicates the number of frames included in the GOP.

If the video frame is divided into the first key frame, then determine the second ratio of the target code rate coefficient of the video frame to the code rate coefficient of the last frame of the video frame, and according to the second ratio and the previous frame of the video frame For the bits of one frame, determine a second product value of the second ratio and the bits of the previous frame, and determine the second product value as the target bit of the video frame.

针对非第一帧：

其中，α3表示比例系数，ratio_Irate表示当前关键帧的码率系数rate_grade与上一关键帧的码率系数rate_grade的比值，

则表示上一关键帧的目标比特。For example, when the current video frame is a key frame, for the first frame:

For non-first frames:

Among them, α3 represents the proportional coefficient, and ratio_Irate represents the ratio of the bit rate coefficient rate_grade of the current key frame to the bit rate coefficient rate_grade of the previous key frame,

then represents the target bit of the previous keyframe.

If the video frame is a non-key frame, then calculate the first difference between the maximum bit and the bit of the first key frame according to the maximum bit of the group of pictures and the bit of the first key frame, and determine the first difference between the maximum bit and the bit of the first key frame, according to the The number of frames and the preset number, wherein the preset number is 1, determine the second difference between the number of video frames and the preset number, and determine the first difference and the second difference according to the first difference and the second difference The third ratio, wherein the third ratio represents the average bit of the remaining video frame after the group of pictures removes the first key frame; according to the third ratio and the target bit rate coefficient of the video frame, determine the third ratio and the target bit rate A third product value of the coefficients is determined as the target bit of the video frame.

其中

表示图片组的最大比特，

表示第一个关键帧的比特，Size_Gop表示GOP包含的帧数量；将平均比特

再乘以当前视频帧的码率系数rate_grade，得到当前的视频帧的目标比特

其中

For example, if the current video frame is a non-key frame, first calculate the average bit rate of the remaining video frames after the first key frame is removed from the picture group

in

Indicates the maximum number of bits in a group of pictures,

Represents the bit of the first key frame, Size _Gop represents the number of frames contained in the GOP; the average bit

Multiply by the bit rate coefficient rate_grade of the current video frame to get the target bit of the current video frame

in

Because in the embodiment of the present invention, the parameters and features that are relatively easy to obtain are used for adjustment, the calculation of the parameters is simple, and the acquisition is simple, which can well meet the needs of software video codec devices, and can be well adapted to different video codecs. standard.

Example 5:

In order to save code rate, an embodiment of the present invention provides a video encoding method, the method comprising:

Get each video frame in the target video;

For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle;

For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

For each video frame, the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames included in the group of pictures are input into the bit determination function of the video frame, and the target bit of the output video frame is determined, According to the pixel value of each pixel of the video frame, determine each second parameter value of the texture complexity of the video frame and each image block of the video frame, wherein the texture complexity is gradient, variance, average Any of the parameters such as absolute difference and absolute error sum;

For each image block of the video frame, determine a fourth ratio between the second parameter value of the image block and the second parameter value of the video frame, and determine the ratio between the fourth ratio and the target bit of the video frame The fourth product value is the first bit of the image block, and the first bit of the image block is input to the code rate control model to obtain the output candidate quantization parameter of the image block;

If the image block is a foreground image block, according to the pre-saved second mapping relationship, determine the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship, if the image block is a background image block , according to a pre-stored third mapping relationship, determine a target quantization parameter corresponding to the candidate quantization parameter of the image block in the third mapping relationship;

Encoding each image block of each video frame in the target video according to the target quantization parameter of each image block of each video frame in the target video to obtain a compressed code stream.

In order to improve the accuracy of bit rate control to save bit rate when performing video encoding, a video encoding method provided by an embodiment of the present invention is applied to electronic equipment, and the video encoding method is macroblock-level encoding of video The method is to determine the code stream after video compression by determining the quantization parameter of each image block of each video frame in the video; the electronic device can be an intelligent terminal device such as a host computer, a tablet computer, a notebook computer, or a smart phone, It can also be a server, and the server can be a local server or a cloud server, which is not limited in the embodiment of the present invention; the electronic device can be the same electronic device as the electronic device performing video encoding in the above-mentioned embodiments 1-5 , or they may not be the same electronic device.

The electronic device obtains the target video, specifically, it may collect the target video through the image acquisition device of the electronic device itself, or receive the target video by connecting other devices with the electronic device, or obtain the electronic device itself to save the target video in advance. The target video is not limited in this embodiment of the present invention; after the target video is acquired, the electronic device acquires each video frame from the target video frame.

For each video frame, the electronic device divides the video frame into each image block of a preset size, wherein the preset size is preset by the user, wherein the preset size is the size of a single pixel or a preset side length Rectangular size, detect the video frame to determine the foreground image block in each image block, and determine the target that the number of foreground image blocks accounts for the total number of image blocks according to the number of foreground image blocks and the total number of image blocks in the video frame ratio.

In order to determine the motion level of the video frame, the electronic device pre-stores the corresponding relationship between the numerical range and the motion level, and determines the target numerical range where the target ratio is located according to the determined target ratio; according to the target numerical range, and the numerical range and Correspondence between motion levels, determine the motion level corresponding to the target value range as the target motion level; the smaller the target motion level, the closer the video frame is to the static scene, less bits can be allocated, and the higher the target motion level, the video frame The closer to the motion scene, the more bits need to be allocated.

In order to determine the code rate coefficient assigned to the video frame, the electronic device pre-saves the first mapping relationship between the code rate coefficient and the motion level, and determines the corresponding value of the target motion level in the first mapping relationship according to the determined target motion level. The code rate coefficient is the target code rate coefficient of the video frame.

For each video frame, according to the target bit rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group, input the target bit rate coefficient, the maximum bit and the number of frames into the bit determination function of the video frame, and determine the output The assigned target bit of the video frame, according to the pixel value of each pixel of the video frame, determine the second parameter value of the texture complexity of the video frame; according to the pixel of each pixel in each image block Value, to determine the second parameter value of the texture complexity of each image block, wherein the texture complexity is any one of parameters such as gradient, variance, mean absolute difference and absolute error sum, for example, when the texture complexity is gradient, the first The value of the second parameter is the gradient value.

In order to realize the macroblock-level encoding of the target video, the electronic device determines the bits allocated to each image block for each image block of the video frame, specifically, the electronic device determines the second parameter value of the image block and The fourth ratio of the second parameter value of the video frame, according to the fourth ratio and the target bit of the video frame, determine the fourth product value of the fourth ratio and the target bit, and determine the fourth product value as the image block of the first bit.

In order to realize macroblock-level encoding of the target video, the electronic device inputs the first bit of the image block into the code rate control model to obtain the output candidate quantization parameters of the image block; if the image block is a foreground image block, then according to The second mapping relationship between the candidate quantization parameter of the foreground image block and the target quantization parameter determines the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship; if the image block is a background image block, then according to the background image A third mapping relationship between the candidate quantization parameters of the block and the target quantization parameters is used to determine the target quantization parameters corresponding to the candidate quantization parameters of the image block in the third mapping relationship.

以及每个图像块的纹理复杂度的第二参数值G_mb分配得到每个图像块的比特

其中

其中G_mb表示每个图像块的纹理复杂度的第二参数值，G_fra表示视频帧的纹理复杂度的第二参数值，根据得到的每个图像块的比特

输入R-λ模型，即可计算得到每个图像块的候选量化参数QP_pre。For example, based on the target bits of a video frame

And the second parameter value G _mb of the texture complexity of each image block is allocated to obtain the bits of each image block

in

Where G _mb represents the second parameter value of the texture complexity of each image block, G _fra represents the second parameter value of the texture complexity of the video frame, according to the obtained bit of each image block

By inputting the R-λ model, the candidate quantization parameter QP _pre of each image block can be calculated.

Judge whether each image block is a still image block or a moving image block according to the front background mask image of the current video frame, thereby adjusting the QP of each image block, wherein when the current image block is a still image block, QP=f ₁ (QP _pre ), when the current image block is a moving image block, QP=f ₂ (QP _pre ), f ₁ () represents the second mapping relationship, f ₂ () represents the third mapping relationship, which can be linear or nonlinear linear relationship. For example, when f ₁ () and f ₂ () have a linear relationship, when the current image block is a still image block, QP=QP _pre +α4, and when the current image block is a moving image block, QP=QP _pre -α5, where α4 and α5 can also take the same value as 2. When the block is in motion, the quantization QP can be appropriately reduced to protect the quality of the moving block. When the block is still, the quantization QP can be appropriately increased to reduce the bit rate.

After determining the target quantization parameters of each image block of each video frame, each image block of each video frame in the target video is encoded to obtain a compressed image composed of each image block of each video frame after compression subsequent code stream.

Embodiment 6:

FIG. 3 is a schematic structural diagram of a video encoding device provided by an embodiment of the present invention. As shown in FIG. 3, the device includes:

Obtaining module 301, used to obtain each video frame in the target video;

The first determining module 302 is used to divide the video frame into each image block of a preset size for each video frame, and determine that the number of foreground image blocks in the video frame accounts for the total number of image blocks in the video frame According to the corresponding relationship between the target ratio and the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is a single Pixel size or rectangle size with preset side length;

The second determining module 303 is configured to, for each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

The third determining module 304 is used to input the target bit rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame for each video frame, and determine the output The target bit of the video frame;

The fourth determining module 305 is used for each video frame, inputting the target bit of the video frame into the code rate control model to obtain the output quantization parameter of the video frame;

The encoding module 306 is configured to encode each video frame in the target video according to the quantization parameter of each video frame in the target video to obtain a compressed code stream.

Further, the first determination module 302 is specifically configured to determine the foreground background mask image of the video frame, determine the foreground image block in the video frame according to the foreground background mask image, and determine the foreground image block in the video frame according to the foreground image in the video frame The first number of blocks and the total number of image blocks in the video frame are used to obtain a target ratio of the first number to the total number.

Further, the first determination module 302 is also used to determine the foreground and background mask image of the video frame according to the foreground and background mask image after the detection of the video frame. Before the foreground image block, mark the connected domain on the foreground and background mask image, and determine the first parameter value of the preset parameter of each connected domain, wherein the preset parameter is the area of the connected domain or the number of pixels in the connected domain , for each connected domain, judge whether the first parameter value of the connected domain is smaller than the first preset threshold, if the mask values of all pixels in the connected domain are filled with the background mask value, if not, the connected domain The mask values of all pixels are filled with foreground mask values to obtain an updated foreground and background mask image; and an updated foreground image block in the video frame is determined according to the updated foreground and background mask image.

Further, the first determining module 302 is also used to determine the number of foreground image blocks in the video frame according to the foreground and background mask images before performing connected domain marking on the foreground and background mask images Accounting for the first ratio of the total number of image blocks in the video frame, according to the first ratio, the second preset threshold and the third preset threshold, it is judged whether the first ratio is smaller than the second preset threshold, wherein the If the third preset threshold is greater than the second preset threshold, if yes, first expand and then erode the foreground and background mask image; if not, determine whether the first ratio is greater than the third preset Threshold, if yes, perform erosion and then dilation processing on the foreground and background mask image, if not, do not perform processing.

Further, the third determination module 304 is specifically used to determine whether the video frame is the first key frame if the video frame is a key frame, and if so, determine the maximum bit of the picture group and the first value of the preset coefficient. Product value, the first product value is determined as the target bit of the video frame, if not, then determine the second ratio of the target bit rate coefficient of the video frame to the bit rate coefficient of the previous frame of the video frame , and determine the second product value of the second ratio and the bit of the previous frame of the video frame, and determine the second product value as the target bit of the video frame; if the video frame is a non-key frame, then Determine the first difference between the maximum bit minus the bit of the first key frame, and determine the second difference between the number of video frames contained in the group of pictures minus the preset number, according to the first difference and the second The third ratio of the difference, and the target code rate coefficient, determine the third product value of the third ratio and the target code rate coefficient of the video frame, and determine the third product value as the video frame target bit.

Fig. 4 is a schematic structural diagram of a video encoding device provided by an embodiment of the present invention. As shown in Fig. 4, the device includes: a foreground and background segmentation module 401, a morphological processing module 402, a connected domain calculation module 403, and a motion level analysis module 404 , a frame-level QP obtaining module 405 , a macroblock-level QP obtaining module 406 , and an encoding module 407 .

The foreground and background segmentation module 401 is used to obtain each video frame of the target video, and detects the foreground and background conditions of the video frame by a motion detection method for the analysis of subsequent motion levels; it is equivalent to the acquisition module 301 in the above-mentioned embodiment and the first determination module 302 .

The morphology processing module 402 is used to process the extracted front-background mask image of the video frame after the foreground-background segmentation module 401 to eliminate noises and holes; it is equivalent to the first determination module 302 in the above-mentioned embodiment.

The connected domain calculation module 403 is configured to mark the connected domains of the foreground and background masks after the morphological processing module 402; it is equivalent to the first determination module 302 in the above-mentioned embodiment.

The motion level analysis module 404 is configured to calculate the motion level of the current video frame; it is equivalent to the first determination module 302 in the above-mentioned embodiment.

The frame-level QP calculation module 405 is used to calculate the quantization parameter of the video frame; it is equivalent to the second determination module 303 , the third determination module 304 and the fourth determination module 305 in the above-mentioned embodiment.

The macroblock-level QP calculation module 406 is used to calculate the quantization parameter of each image block of the video frame; it is equivalent to the fourth determination module 305 in the above-mentioned embodiment.

The encoding module 407 is configured to encode each video frame in the target video to obtain a compressed code stream, which is equivalent to the encoding module 306 in the above-mentioned embodiment.

Embodiment 7:

FIG. 5 is a schematic structural diagram of a video encoding device provided by an embodiment of the present invention. As shown in FIG. 5, the device includes:

Obtaining module 501, for obtaining each video frame in target video;

The first determining module 502 is used to divide the video frame into each image block of a preset size for each video frame, and determine that the number of foreground image blocks in the video frame accounts for the total number of image blocks in the video frame According to the corresponding relationship between the target ratio and the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is a single Pixel size or rectangle size with preset side length;

The second determining module 503 is configured to, for each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

The third determination module 504 is used to input the target code rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame for each video frame, and determine the output The target bit of the video frame, according to the pixel value of each pixel of the video frame, determine the video frame and each second parameter value of the texture complexity of each image block of the video frame, wherein the texture The complexity is any of parameters such as gradient, variance, mean absolute difference and absolute error;

The fourth determining module 505 is configured to, for each image block of the video frame, determine a fourth ratio between the second parameter value of the image block and the second parameter value of the video frame, and determine the ratio between the fourth ratio and the The fourth product value of the target bit of the video frame is the first bit of the image block, and the first bit of the image block is input to the code rate control model to obtain the output candidate quantization parameter of the image block;

The fifth determination module 506 is configured to, if the image block is a foreground image block, determine the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship according to the pre-saved second mapping relationship, If the image block is a background image block, according to a pre-stored third mapping relationship, determine a target quantization parameter corresponding to the candidate quantization parameter of the image block in the third mapping relationship;

The encoding module 507 is configured to encode each image block of each video frame in the target video according to the target quantization parameter of each image block of each video frame in the target video to obtain compressed subsequent code stream.

Embodiment 8:

Fig. 6 is a schematic structural diagram of an electronic device provided by an embodiment of the present invention. On the basis of the above-mentioned embodiments, the present application also provides an electronic device, as shown in Fig. 6 , including: a processor 601, a communication interface 602 , a memory 603 and a communication bus 604 , wherein the processor 601 , the communication interface 602 , and the memory 603 communicate with each other through the communication bus 604 .

A computer program is stored in the memory 603, and when the program is executed by the processor 601, the processor 601 is made to perform the following steps:

Get each video frame in the target video;

For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle;

For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

For each video frame, input the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames contained in the group of pictures into the bit determination function of the video frame, and determine the target bit of the output video frame;

For each video frame, the target bit of the video frame is input to the code rate control model to obtain the quantization parameter of the video frame output;

Encoding each video frame in the target video according to the quantization parameter of each video frame in the target video to obtain a compressed code stream.

Further, the specific use of the processor 601 for determining the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame includes:

Determine the front background mask image of the video frame, determine the foreground image blocks in the video frame according to the front background mask image, and determine the foreground image blocks in the video frame according to the first number of foreground image blocks in the video frame and the total number of image blocks in the video frame Quantity, to obtain a target ratio of the first quantity to the total quantity.

Further, the processor 601 is further configured to determine the foreground image block in the video frame according to the foreground and background mask image after detecting the video frame and determining the foreground and background mask image of the video frame Previously, the method further included:

Mark the connected domains on the foreground and background mask images, and determine the first parameter value of the preset parameters of each connected domain, wherein the preset parameters are the area of the connected domain or the number of pixels in the connected domain, for each connected domain Domain, judge whether the first parameter value of the connected domain is less than the first preset threshold, if it is filled with the mask values of all pixels in the connected domain as the background mask value, if not, the mask values of all pixels in the connected domain The film values are all filled as the foreground mask value, and the updated foreground and background mask image is obtained;

An updated foreground image block in the video frame is determined according to the updated foreground and background mask image.

Further, before the processor 601 is used for performing connected domain marking on the foreground and background mask images, the method further includes:

According to the foreground and background mask image, determine the first ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the first ratio, the second preset threshold and the third preset Threshold, judging whether the first ratio is less than the second preset threshold, wherein the third preset threshold is greater than the second preset threshold, if so, first expand and then corrode the front and background mask image If not, judge whether the first ratio is greater than the third preset threshold, if yes, perform erosion and then dilation processing on the foreground and background mask image, if not, do not perform processing.

Further, the processor 601 is specifically configured to input the target bit rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames contained in the group of pictures into the bit determination function of the video frame, and determine the output video The target bits of the frame include:

If the video frame is a key frame, judge whether the video frame is the first key frame, if so, determine the first product value of the maximum bit of the picture group and the preset coefficient, and determine the first product value as the video frame The target bit of the frame, if not, then determine the second ratio of the target code rate coefficient of the video frame and the code rate coefficient of the last frame of the video frame, and determine the second ratio and the last ratio of the video frame A second product value of the bits of a frame, determining the second product value as the target bit of the video frame;

If the video frame is a non-key frame, then determine the first difference between the maximum bit minus the bit of the first key frame, and determine the second difference between the number of video frames included in the group of pictures minus the preset number, according to the determined The third ratio between the first difference and the second difference, and the target code rate coefficient, determine the third product value of the third ratio and the target code rate coefficient of the video frame, and convert the The third product value is determined as the target bit of the video frame.

Or, the processor 601 is configured to acquire each video frame in the target video;

For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle;

For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

For each video frame, the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames included in the group of pictures are input into the bit determination function of the video frame, and the target bit of the output video frame is determined, According to the pixel value of each pixel of the video frame, determine each second parameter value of the texture complexity of the video frame and each image block of the video frame, wherein the texture complexity is gradient, variance, average Any of the parameters such as absolute difference and absolute error sum;

For each image block of the video frame, determine a fourth ratio between the second parameter value of the image block and the second parameter value of the video frame, and determine the ratio between the fourth ratio and the target bit of the video frame The fourth product value is the first bit of the image block, and the first bit of the image block is input to the code rate control model to obtain the output candidate quantization parameter of the image block;

If the image block is a foreground image block, according to the pre-saved second mapping relationship, determine the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship, if the image block is a background image block , according to a pre-stored third mapping relationship, determine a target quantization parameter corresponding to the candidate quantization parameter of the image block in the third mapping relationship;

Encoding each image block of each video frame in the target video according to the target quantization parameter of each image block of each video frame in the target video to obtain a compressed code stream.

The communication bus mentioned above for the electronic device may be a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus or the like. The communication bus can be divided into an address bus, a data bus, a control bus, and the like. For ease of representation, only one thick line is used in the figure, but it does not mean that there is only one bus or one type of bus.

The communication interface 602 is used for communication between the electronic device and other devices.

The memory may include a random access memory (Random Access Memory, RAM), and may also include a non-volatile memory (Non-Volatile Memory, NVM), such as at least one disk memory. Optionally, the memory may also be at least one storage device located away from the aforementioned processor.

The above-mentioned processor can be a general-purpose processor, including a central processing unit, a network processor (NetworkProcessor, NP), etc.; it can also be a digital instruction processor (Digital Signal Processing, DSP), an application-specific integrated circuit, a field programmable gate display or other Programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc.

Embodiment 8:

On the basis of the above-mentioned embodiments, the present application also provides a computer-readable storage medium, wherein a computer program executable by a processor is stored in the computer-readable storage medium, and when the program is executed on the processor During operation, the following steps are implemented when the processor is executed:

Get each video frame in the target video;

For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle;

For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

For each video frame, input the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames contained in the group of pictures into the bit determination function of the video frame, and determine the target bit of the output video frame;

For each video frame, the target bit of the video frame is input to the code rate control model to obtain the quantization parameter of the video frame output;

Encoding each video frame in the target video according to the quantization parameter of each video frame in the target video to obtain a compressed code stream.

Further, the determination of the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame includes:

Determine the front background mask image of the video frame, determine the foreground image blocks in the video frame according to the front background mask image, and determine the foreground image blocks in the video frame according to the first number of foreground image blocks in the video frame and the total number of image blocks in the video frame Quantity, to obtain a target ratio of the first quantity to the total quantity.

Further, after the video frame is detected to determine the foreground background mask image of the video frame, before the foreground image block in the video frame is determined according to the foreground background mask image, the method further includes:

Mark the connected domains on the foreground and background mask images, and determine the first parameter value of the preset parameters of each connected domain, wherein the preset parameters are the area of the connected domain or the number of pixels in the connected domain, for each connected domain Domain, judge whether the first parameter value of the connected domain is less than the first preset threshold, if it is filled with the mask values of all pixels in the connected domain as the background mask value, if not, the mask values of all pixels in the connected domain The film values are all filled as the foreground mask value, and the updated foreground and background mask image is obtained;

An updated foreground image block in the video frame is determined according to the updated foreground and background mask image.

Further, before performing connected domain marking on the foreground and background mask image, the method further includes:

According to the foreground and background mask image, determine the first ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the first ratio, the second preset threshold and the third preset Threshold, judging whether the first ratio is less than the second preset threshold, wherein the third preset threshold is greater than the second preset threshold, if so, first expand and then corrode the front and background mask image If not, judge whether the first ratio is greater than the third preset threshold, if yes, perform erosion and then dilation processing on the foreground and background mask image, if not, do not perform processing.

Further, inputting the target code rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame, and determining the output target bit of the video frame includes:

If the video frame is a key frame, judge whether the video frame is the first key frame, if so, determine the first product value of the maximum bit of the picture group and the preset coefficient, and determine the first product value as the video frame The target bit of the frame, if not, then determine the second ratio of the target code rate coefficient of the video frame and the code rate coefficient of the last frame of the video frame, and determine the second ratio and the last ratio of the video frame A second product value of the bits of a frame, determining the second product value as the target bit of the video frame;

If the video frame is a non-key frame, then determine the first difference between the maximum bit minus the bit of the first key frame, and determine the second difference between the number of video frames included in the group of pictures minus the preset number, according to the determined The third ratio between the first difference and the second difference, and the target code rate coefficient, determine the third product value of the third ratio and the target code rate coefficient of the video frame, and convert the The third product value is determined as the target bit of the video frame.

Or, the processor implements the following steps during execution:

Get each video frame in the target video;

For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle;

For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level;

For each video frame, the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames included in the group of pictures are input into the bit determination function of the video frame, and the target bit of the output video frame is determined, According to the pixel value of each pixel of the video frame, determine each second parameter value of the texture complexity of the video frame and each image block of the video frame, wherein the texture complexity is gradient, variance, average Any of the parameters such as absolute difference and absolute error sum;

For each image block of the video frame, determine a fourth ratio between the second parameter value of the image block and the second parameter value of the video frame, and determine the ratio between the fourth ratio and the target bit of the video frame The fourth product value is the first bit of the image block, and the first bit of the image block is input to the code rate control model to obtain the output candidate quantization parameter of the image block;

If the image block is a foreground image block, according to the pre-saved second mapping relationship, determine the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship, if the image block is a background image block , according to a pre-stored third mapping relationship, determine a target quantization parameter corresponding to the candidate quantization parameter of the image block in the third mapping relationship;

The encoding each video frame in the target video according to the quantization parameter of each video frame in the target video includes:

Encoding each image block of each video frame in the target video according to the target quantization parameter of each image block in each video frame in the target video.

Those skilled in the art should understand that the embodiments of the present application may be provided as methods, systems, or computer program products. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to the present application. It should be understood that each procedure and/or block in the flowchart and/or block diagram, and a combination of procedures and/or blocks in the flowchart and/or block diagram can be realized by computer program instructions. These computer program instructions may be provided to a general purpose computer, special purpose computer, embedded processor, or processor of other programmable data processing equipment to produce a machine such that the instructions executed by the processor of the computer or other programmable data processing equipment produce a An apparatus for realizing the functions specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing apparatus to operate in a specific manner, such that the instructions stored in the computer-readable memory produce an article of manufacture comprising instruction means, the instructions The device realizes the function specified in one or more procedures of the flowchart and/or one or more blocks of the block diagram.

These computer program instructions can also be loaded onto a computer or other programmable data processing device, causing a series of operational steps to be performed on the computer or other programmable device to produce a computer-implemented process, thereby The instructions provide steps for implementing the functions specified in the flow chart or blocks of the flowchart and/or the block or blocks of the block diagrams.

Obviously, those skilled in the art can make various changes and modifications to the application without departing from the spirit and scope of the application. In this way, if these modifications and variations of the present application fall within the scope of the claims of the present application and their equivalent technologies, the present application is also intended to include these modifications and variations.

Claims (10)

1. A video encoding method, characterized in that the method comprises: Get each video frame in the target video; For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle; For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level; For each video frame, input the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames contained in the group of pictures into the bit determination function of the video frame, and determine the target bit of the output video frame; For each video frame, the target bit of the video frame is input to the code rate control model to obtain the quantization parameter of the video frame output; Encoding each video frame in the target video according to the quantization parameter of each video frame in the target video to obtain a compressed code stream. 2. method according to claim 1, is characterized in that, the target ratio that the number of described determination foreground image block accounts for the image block total number of this video frame in this video frame comprises: Determine the front background mask image of the video frame, determine the foreground image blocks in the video frame according to the front background mask image, and determine the foreground image blocks in the video frame according to the first number of foreground image blocks in the video frame and the total number of image blocks in the video frame Quantity, to obtain a target ratio of the first quantity to the total quantity. 3. The method according to claim 2, characterized in that, after the video frame is detected to determine the front background mask image of the video frame, the video frame is determined according to the front background mask image. Before the foreground image block, the method also includes: Mark the connected domains on the foreground and background mask images, and determine the first parameter value of the preset parameters of each connected domain, wherein the preset parameters are the area of the connected domain or the number of pixels in the connected domain, for each connected domain Domain, judge whether the first parameter value of the connected domain is less than the first preset threshold, if it is filled with the mask values of all pixels in the connected domain as the background mask value, if not, the mask values of all pixels in the connected domain The film values are all filled as the foreground mask value, and the updated foreground and background mask image is obtained; An updated foreground image block in the video frame is determined according to the updated foreground and background mask image. 4. The method according to claim 3, wherein, before performing connected domain marking on the foreground and background mask image, the method further comprises: According to the foreground and background mask image, determine the first ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the first ratio, the second preset threshold and the third preset Threshold, judging whether the first ratio is less than the second preset threshold, wherein the third preset threshold is greater than the second preset threshold, if so, first expand and then corrode the front and background mask image If not, judge whether the first ratio is greater than the third preset threshold, if yes, perform erosion and then dilation processing on the foreground and background mask image, if not, do not perform processing. 5. method according to claim 1, is characterized in that, described this target code rate coefficient of this video frame, the maximum bit of group of pictures and the number of frames that described group of pictures comprise are input into the bit determination function of video frame, determine The target bits of the output video frame include: If the video frame is a key frame, judge whether the video frame is the first key frame, if so, determine the first product value of the maximum bit of the picture group and the preset coefficient, and determine the first product value as the video frame The target bit of the frame, if not, then determine the second ratio of the target code rate coefficient of the video frame and the code rate coefficient of the last frame of the video frame, and determine the second ratio and the last ratio of the video frame A second product value of the bits of a frame, determining the second product value as the target bit of the video frame; If the video frame is a non-key frame, then determine the first difference between the maximum bit minus the bit of the first key frame, and determine the second difference between the number of video frames included in the group of pictures minus the preset number, according to the determined The third ratio between the first difference and the second difference, and the target code rate coefficient, determine the third product value of the third ratio and the target code rate coefficient of the video frame, and convert the The third product value is determined as the target bit of the video frame. 6. A video coding method, characterized in that the method comprises: Get each video frame in the target video; For each video frame, divide the video frame into each image block of a preset size, determine the target ratio of the number of foreground image blocks in the video frame to the total number of image blocks in the video frame, according to the target Ratio, and the corresponding relationship between the numerical range and the motion level, determine that the motion level corresponding to the target numerical range where the target ratio is located is the target motion level of the video frame, wherein the preset size is the size of a single pixel point or the preset side length the size of the rectangle; For each video frame, determine the target bit rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the bit rate coefficient and the motion level; For each video frame, the target code rate coefficient of the video frame, the maximum bit of the group of pictures and the number of frames included in the group of pictures are input into the bit determination function of the video frame, and the target bit of the output video frame is determined, According to the pixel value of each pixel of the video frame, determine each second parameter value of the texture complexity of the video frame and each image block of the video frame, wherein the texture complexity is gradient, variance, average Any of the parameters such as absolute difference and absolute error sum; For each image block of the video frame, determine a fourth ratio between the second parameter value of the image block and the second parameter value of the video frame, and determine the ratio between the fourth ratio and the target bit of the video frame The fourth product value is the first bit of the image block, and the first bit of the image block is input to the code rate control model to obtain the output candidate quantization parameter of the image block; If the image block is a foreground image block, according to the pre-saved second mapping relationship, determine the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship, if the image block is a background image block , according to a pre-stored third mapping relationship, determine a target quantization parameter corresponding to the candidate quantization parameter of the image block in the third mapping relationship; Encoding each image block of each video frame in the target video according to the target quantization parameter of each image block of each video frame in the target video to obtain a compressed code stream. 7. A video encoding device, characterized in that the device comprises: Obtain module, be used for obtaining each video frame in target video; The first determining module is used to divide the video frame into each image block of a preset size for each video frame, and determine that the number of foreground image blocks in the video frame accounts for the total number of image blocks in the video frame Target ratio, according to the corresponding relationship between the target ratio and the value range and the motion level, determine that the motion level corresponding to the target value range where the target ratio is located is the target motion level of the video frame, wherein the preset size is a single pixel point size or rectangle size with preset side lengths; The second determination module is used to determine the target code rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the code rate coefficient and the motion level for each video frame; The third determining module is used to input the target code rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame for each video frame, and determine the output the target bits for the video frame; The fourth determining module is used for each video frame, inputting the target bit of the video frame into the code rate control model to obtain the output quantization parameter of the video frame; An encoding module, configured to encode each video frame in the target video according to the quantization parameter of each video frame in the target video to obtain a compressed code stream. 8. A video encoding device, characterized in that the device comprises: Obtain module, be used for obtaining each video frame in target video; The first determining module is used to divide the video frame into each image block of a preset size for each video frame, and determine that the number of foreground image blocks in the video frame accounts for the total number of image blocks in the video frame Target ratio, according to the corresponding relationship between the target ratio and the value range and the motion level, determine that the motion level corresponding to the target value range where the target ratio is located is the target motion level of the video frame, wherein the preset size is a single pixel point size or rectangle size with preset side lengths; The second determination module is used to determine the target code rate coefficient of the video frame according to the target motion level of the video frame and the first mapping relationship between the code rate coefficient and the motion level for each video frame; The third determining module is used to input the target code rate coefficient of the video frame, the maximum bit of the picture group and the number of frames contained in the picture group into the bit determination function of the video frame for each video frame, and determine the output The target bit of the video frame determines each second parameter value of the texture complexity of the video frame and each image block of the video frame according to the pixel value of each pixel of the video frame, wherein the texture complexity The degree is any of the parameters such as gradient, variance, mean absolute difference and absolute error sum; The fourth determination module is used to determine, for each image block of the video frame, a fourth ratio between the second parameter value of the image block and the second parameter value of the video frame, and determine the ratio between the fourth ratio and the video frame The fourth product value of the target bit of the frame is the first bit of the image block, and the first bit of the image block is input to the code rate control model to obtain the output candidate quantization parameter of the image block; The fifth determination module is configured to determine, if the image block is a foreground image block, the target quantization parameter corresponding to the candidate quantization parameter of the image block in the second mapping relationship according to the pre-stored second mapping relationship, if The image block is a background image block, and according to a pre-stored third mapping relationship, determine a target quantization parameter corresponding to the candidate quantization parameter of the image block in the third mapping relationship; An encoding module, configured to encode each image block of each video frame in the target video according to the target quantization parameter of each image block of each video frame in the target video, to obtain a compressed code stream. 9. An electronic device, comprising: a processor, a communication interface, a memory, and a communication bus, wherein the processor, the communication interface, and the memory complete mutual communication through the communication bus; A computer program is stored in the memory, and when the program is executed by the processor, the processor is made to execute the steps of the video encoding method according to any one of claims 1-5, or the video coding method described in claim 6. The steps of the encoding method. 10. A computer-readable storage medium, characterized in that it stores a computer program executable by a processor, and when the program is run on the processor, the processor is made to perform any of claims 1-5. A step of the video encoding method, or a step of the video encoding method of claim 6.

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