WO2012010046A1

WO2012010046A1 - Method and system for testing video encoding performance

Info

Publication number: WO2012010046A1
Application number: PCT/CN2011/076606
Authority: WO
Inventors: 舒倩
Original assignee: 深圳市融创天下科技股份有限公司
Priority date: 2010-07-21
Filing date: 2011-06-30
Publication date: 2012-01-26
Also published as: CN101895787A; CN101895787B

Abstract

A method for testing video encoding performance is provided by the present invention. On the one hand, the compression performance of an encoder on video test quality is evaluated by using a test score value; and on the other hand, the conventional average bit rate is replaced by the maximum window bit rate to represent the transmission performance of the coder. According to a condition rate distortion curve graph constructed by using the maximum window bit rate and the test score value as a horizontal coordinate and a vertical coordinate, the video compression performance and the adaptability to network transmission of different kinds of encoding technology can be obtained. And the maximum window bit rate of the encoder is compared to obtain the network transmission performance of the encoder, and the test score is compared to obtain the compression performance of the encoder on image test quality under the conditions of the same test scene and the same coding parameter.

Description

Video coding performance test method and system

Technical field

The present invention relates to the field of video coding technologies, and in particular, to a video coding performance testing method and system.

Background technique

The pros and cons of a video coding technique mainly depends on video compression performance and adaptability to network transmission. The video compression performance of the coding technology determines the quality of the video image after its compression processing, and the adaptability to the network transmission determines whether the compressed video code stream can be stably transmitted in the network, and the code stream is received. Whether the terminal will often get into the buffer. The test of video quality, in general, can be divided into two methods: subjective quality test and objective quality test. The current mainstream objective quality test method is the utilization distortion performance to measure the compression performance of the encoder. Although the rate distortion data can objectively measure the distortion of the encoded image relative to the original image, the defect is that the distortion cannot be discriminated. The value of the image effect. Under the same rate-distortion performance, some encoders are distorted in discarding high-frequency information, while some encoders actively discard area information that is insensitive to human eyes. The subjective test is based on the evaluation of the visual effect of the personnel, so as to analyze the ability of the encoder to preserve the details, is an important means to measure the video quality. Subjective tests usually collect a large number of samples and remove the subjective errors of the testers by statistical methods. The rate fluctuation characteristic measures the adaptability of the video encoder to network transmission, which is especially important for mobile channels. Mobile channels have resource-limited, error-prone characteristics. The code stream output by the encoder, if the fluctuation characteristics are obvious, will cause the terminal player to frequently become buffered. The conventional test method only provides performance evaluation of the quality of the coding technology video test, not simultaneously Investigate the network transmission performance of coding technology. When it is necessary to comprehensively evaluate the coding technology at the comprehensive level of the above two performances, it will be in a difficult situation, which is not conducive to comprehensive evaluation of video coding technology.

Summary of the invention

The purpose of the embodiments of the present invention is to provide a video coding performance testing method, which aims to solve the problem of the performance evaluation of the video quality of the coding technology in the prior art test method, and does not simultaneously consider the problem of the network transmission performance of the coding technology.

The method of the embodiment of the present invention is implemented by the method for testing a video coding performance, and the method includes the following steps:

Get the maximum window bit rate;

Obtain the test score value; construct a condition rate distortion graph according to the maximum window bit rate and the test score value, and obtain the video coding performance of the encoder.

Another object of the embodiments of the present invention is to provide a video coding performance testing system, where the system includes:

a maximum window acquisition module, configured to obtain a maximum window bit rate;

a scoring module, configured to obtain a test score value; an evaluation module, configured to obtain a video compression performance of different coding technologies and adapt to network transmission according to a condition rate distortion graph constructed according to the maximum window bit rate and the test score value Sexuality ^ Obtain the encoder's compression performance on the image test quality by comparing the test scores at the same maximum window bit rate, and/or obtain the encoder network by comparing the maximum window bit rate under the same test score value. Transmission performance.

Advantageous Effects of the Invention: The condition rate distortion performance proposed by the present invention, on the one hand, uses a test score to measure the compression performance of an encoder on a video test quality, and on the other hand replaces a conventional average bit rate with a maximum window bit rate, Shows the transmission performance of the encoder. By using the condition rate distortion graph constructed according to the maximum window bit rate and the test score value as the abscissa and the ordinate, the video compression performance and the adaptability to the network transmission of different coding techniques can be obtained, and the same test source can also be obtained. Under the condition of the same coding parameters, the maximum window bit rate of the encoder is compared, the network transmission performance of the encoder is obtained, the test score is compared, and the compression performance of the encoder in the image test quality is obtained.

DRAWINGS

1 is a flow chart of a preferred embodiment of a video encoding performance testing method of the present invention; FIG. 2 is a test interface and a test object explanatory diagram of a preferred embodiment of the video encoding performance testing method of the present invention;

3 is a condition rate distortion curve diagram of a first preferred embodiment of the video coding performance testing method of the present invention, which is configured to obtain a maximum window bit rate and a test score value of different code streams by different encoders for the same test video source;

4 is a conditional rate distortion curve diagram of a maximum window bit rate and a test score value of different code streams obtained by different encoders for the same test video source according to a second preferred embodiment of the video coding performance testing method of the present invention;

5 is a schematic structural diagram of a preferred embodiment of a video encoding performance testing method according to the present invention; FIG. 6 is a schematic structural diagram of a maximum window acquiring module of a preferred embodiment of the video encoding performance testing method of the present invention;

Figure 7 is a block diagram showing the structure of a data filtering module of a preferred embodiment of the video encoding performance testing method of the present invention.

DETAILED DESCRIPTION OF THE EMBODIMENTS In order to make the objects, technical solutions and advantages of the present invention more clear, the following The present invention will be further described in detail, and for convenience of explanation, only parts related to the embodiments of the present invention are shown. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention. The embodiment of the invention provides a video coding performance testing method to comprehensively evaluate the compression performance and network transmission performance of the video test quality of the coding technology. The embodiment of the present invention firstly establishes a condition rate distortion graph with a maximum window bit rate as an abscissa to test a score value as an ordinate, and then, according to the graph, can obtain video compression performance and network transmission of different coding techniques. The adaptability, that is, the higher the curve, the better the performance of the corresponding coding technique; on the other hand, the comparison of single-item performance can be obtained: By comparing the maximum window bit rate of the encoder under the same coding parameters of the same test-chip source, the encoder is obtained. Network transmission performance; Compare the value of the test score to obtain the compression performance of the encoder in the quality of the image test.

Embodiment 1

1 is a flow chart of a preferred embodiment of a video coding performance testing method of the present invention. The method includes the following steps:

5101. Obtain a code stream and a decoding sequence that are coded by the encoder to be tested to encode the same test source.

5102, determining, according to the code stream and the decoding sequence, whether a relative error between an actual output bit rate of the to-be-tested encoder and a target bit rate is within a specific range, if yes, proceeding to step S104, otherwise proceeding to step S103; The proposed condition rate distortion performance, on the one hand, uses the test score to measure the compression performance of the encoder on the quality of the video test, and on the other hand replaces the conventional average bit rate with the maximum window bit rate, indicating the transmission performance of the encoder. Considering that the target bit rate of the encoding is inconsistent with the actual output bit rate of the encoder, in order to perform equal performance testing, the relative error between the actual output bit rate and the target bit rate of all encoders is required to be within a certain range, that is, :

Abs (bitrate _{t et} - bitrate _ac[ual ) I bitrate _{t et} * 100 % < Thres Where Thres is the decision threshold, bitrate- _nr is the target bit rate, bitrate is the actual output bit rate, Thres is the decision threshold, which is determined by the required test accuracy, ab _S ^ bitrate _{t 3lg et} ~ bitrate , ) The absolute value of bitrate _{t mg et} ~ bitrate ,.

Only when this condition is met can the substantive evaluation stage of the video condition rate distortion performance be entered.

S103, modifying the target bit rate, proceeding to step S101;

S104: Obtain a maximum window bit rate;

In the actual streaming media transmission, the client has a certain buffer duration (time window), that is, whether the client is buffered, depending on whether the maximum bit rate in the time window exceeds the actual transmission bandwidth. The embodiment of the present invention proposes to measure the performance of the code rate fluctuation based on the time window in the actual transmission, and refers to the maximum average bit rate in the time window, which is called the maximum window bit rate MWBR.

The maximum window bit rate is calculated as follows:

A: Determine the time window according to the client buffer duration in the actual transmission;

B: Calculate the average bit rate of the output in each time window as a data point (ie, a window bit rate value);

C: Delete the maximum bit rate of the window, eliminating the accidental factor;

D: arranging the remaining window bit rate sequences in descending order, taking the average of the at least one window bit rate as the maximum window bit rate;

S105: obtaining a test score value;

Obtaining the test score value may be the following method, but is not limited thereto, and the method includes the following steps: S1051, performing a simulation test;

The first step: Introduce the purpose of the test, requirements, how to evaluate how to use the test object as an implicit reference;

Step 2: Simulate the test using the test source, evaluate all types of damaged images, familiar with the score Process, stable score;

The test conditions mainly include display equipment and settings, test sequence, observer selection, etc. The following conditions will be introduced for the compression performance requirements of the test encoder at low bit rate on PC and mobile phones.

Other test conditions are as follows:

(1) Select the coverage of the test piece source information.

Test film source selection considerations: 1 complexity determines the spatial complexity and time complexity from the Y component of the test patch source

2 Scene: Select a typical scene from the time and space complexity information distribution (at least the following four cases)

A, simple scene movement is less SI small TI small

B, simple scene movement is much SI small TI big

C, the movement of complex scenes is small, SI is large, TI is small.

D, complex scene movement is much SI, TI big

For specific tests, you can select the number of test source according to your needs. Generally, there is one B, C, and D.

The complexity and amount of motion of the scene are given by the test sequence parameters SI and TI, respectively.

Sobel filtering

First, vertical and horizontal filtering of the original image

— _1 -2 1— — x(i-l,j-l) x(i-lj) x(i_l,j + l)

G _v (i,j) = 0 0 0 ® x(i,jl) x(i,j) x(i,j + l)

1 2 1 x(i + l,j + l) x(i + l,j) x(i + l,j + l)

— - 1 0 Γ — x(i- 1,J-1) x(i- 1,J) x(i- 1,J + 1)

G"i,J) = -2 0 2 ® x(i,J-1) x(i,J) x(i,J + l)

— -1 0 1 — x(i + l,J + l) x(i + 1, j) x(i + 1, J + 1)

Then, calculate the final output value of the Sobel filter

y(i,j) = VG _v ² (i,j)+G _h ² (i,j)

Calculate spatial information SI

SI = Max _time {std _space [sobel[F _n ]}

Where ^F n is the nth frame test image

Calculate time information TI

TI = M _aXtime {std _space [F _n (i, j) - (i, j)] }

(2) Select testers At least 15 people; visual and color information observation is normal; choose non-professionals, that is, work cannot be directly related to image quality; cover certain ranges according to certain conditions (such as occupation, age, gender, etc.).

(3) The tester performs a test score on the test subject.

Rating grade settings:

1 In view of the fact that the test subject of this scheme is the compression performance of the encoder at a low bit rate, the lossy compression rating is adopted. If it is a high-definition test, you need to modify the corresponding rating file settings.

2; The test score ^xe 『 _ ³ , ³ ], considering the distribution of the data, the score X may be a half-segment, that is, the minimum discrimination is allowed to be 0.5.

1 Test subjects participating in the simultaneous test scores (ie, decoded sequences output by different codecs) during PC testing can be increased according to the purpose of the comparison, that is, not limited to the above two scoring objects; Limited by the size of the mobile phone display, using a single excitation source;

2Because people's scores are highly random, when comparing tests, if the scores alone lose the meaning of the scores, they cannot be compared horizontally; therefore, when conducting comparative tests, it is recommended. Test objects that need to participate in the test are displayed and scored at the same time if objective conditions permit; if the test object is too many to be displayed at one time or considering the position of the test video source to the test, the test object can be tested. Overlapping display, that is, by displaying the scored object and its rating as a reference object for the next round of testing;

3 Participation in the scoring test object is the decoded sequence after encoding and decoding

Test video source alignment requirements (when comparing objects are displayed at the same time)

Randomness: The position of the image processed by the same encoder is not fixed, that is, the test object appearing at position 1 can come from different encoders.

Repeatability: The same test object will appear in position 1 and position 2 once during the entire test. Eliminate visual positional effects.

Equivalence: The number of test results of test objects (different encoders) is consistent

The test scoring process is as follows: Play the test object, after the play, start scoring; after the score, you can play back and modify the original score, but only for this test source;

S1052: Conduct a formal test to obtain a test score;

The tester performs the test, in which the test film source and the simulation evaluation test in the formal test are different;

When conducting a formal test, you must be aware of the following issues:

Simultaneous scoring: Because the tester's score has strong randomness, when comparing the coding performance of the evaluation encoder, if the score alone loses the comparative significance of the score (ie, it cannot be compared horizontally), it is allowed under objective conditions. In the case of the test object that is required to participate in the test, the test object is simultaneously displayed and scored; if the test object is too many to be displayed at one time or considering the influence of the position of the test object on the test, the test object may be overlapped, that is, By showing the scored test subject and its rating as a reference for the next round of testing; The coverage of the source of the test piece: The coverage of the time and space complexity is high, that is, the representative test source is selected;

The arrangement of the test objects satisfies: randomness (so that the tester cannot obtain the regularity of the test object arrangement, the score is more objective), equivalence (eliminating the visual positional influence), and repeatability (the test object acquires the same amount of statistical data) );

S1053: test data processing;

Testing raw data for unavailability due to subjective reasons. It is necessary to perform corresponding statistical processing on the test raw data to eliminate the error of the tester, thereby making the test result more reasonable. The processing method is as follows:

A: Test data normalization

The test data of each tester was linearly normalized, and the test score of the original range [-3, 3] was converted into the test score of [0, 1] to eliminate individual differences.

χ _ϋ = (x _y - min (x _y )) /(ηι (χ _ϋ ) - min (x _y ))

Where ί = 1, ² ,···,Ι, j = l,2,..J . I is the number of ratings required for each tester, 〖the number of participants who participated in the test;

B: Perform effective test data screening;

Bl, effective test data screening

When there is a simulation test, the effective test data is filtered, and the five test data at the initial stage of the test are discarded. If there are many test combinations, the first three test data are discarded.

B2, the validity of the tester's score data in the formal test;

Calculate the correlation coefficient between the current tester's score and the average score of all testers

T _ly (x' y), T _2y (x' y), where x is the average scoring variable for all testers and y is the scoring variable for one tester. The calculation method is as follows: 1 Pearson correlation analysis

Where Q x, y) is the covariance, σ _χ , ^ is the corresponding standard deviation; x _{1 :} the average of all tester scores when the i-th test combination (ie, the combination of algorithm, bit rate, test sequence) The average of the corresponding test scores under i test conditions; the score of the current tester y when the i-th test combination; n: the total number of test algorithms X the total number of test sequences.

2 Spearman rank correlation analysis calculates the correlation coefficient ¹ "^ ^x ' ^y )

6 * (rank(x _i ) - rank(y _i )) ²

3 determine the decision threshold

If the ^{^{^{_{mean (min (r i y,}}}} r 2 y)) - std (min (r i y, r 2y))> 0 '85, then Thres = 0.85

No Bay|j Thres = mean(min(r _ly , r _2y )) - std(min(r _ly , r _2y ))

4 determine the validity of the tester's score data

If mi _n (r _ly 'r _2y )> Thres, the current tester y's score data is valid or the current tester y's score data is invalid.

C: Calculate statistical variables based on valid score data: Mean scores of all valid testers;

Mean score for all testers

― 1 N

丄, i=l Tester i, score at bit rate j, test sequence k, algorithm r

D: Denormalization, converts the average score of the range [0, 1] into a score of [-3, 3], and re-corresponds to the score meaning.

S106: Construct a condition rate distortion graph according to the maximum window bit rate and the test score value, and obtain video coding performance of the encoder. The maximum window bit rate MWBR is plotted on the abscissa, and the conditional rate distortion graph is plotted with the test score value as the ordinate. The network transmission performance and video compression quality corresponding to different coding techniques are compared according to the graph.

The maximum window bit rate is a measure of the network transmission adaptability of the coding technique; the test score value measures the quality of the video.

1) Different performance curves of different encoders, the higher the curve position, the better the performance of the coding technology corresponding to the curve in the compression of image test quality and network transmission;

2) Under the same conditions, the score is compared, and the higher the score, the better the quality of the video image corresponding to the coding technique;

3) Under the same conditions, compare the maximum window bit rate, the smaller the value, the better the network transmission performance of the corresponding coding technology;

As shown in FIG. 3, the first preferred embodiment of the video coding performance testing method of the present invention constructs a conditional rate distortion curve for the same test chip source, which is obtained by different encoder encoding to obtain the maximum window bit rate and test score value of different code streams. Figure; Two of the dashed lines are the conditional rate distortion curves of the two encoders, and the solid line is the single-item performance comparison auxiliary line. Each point in the figure is a data point corresponding to different coding parameters of different test piece sources. Taking the encoder 1 as an example, it tests a total of four test film sources. From left to right, the texture is simple, the motion is severe, the texture is complex, the motion is slow, the texture is complex, the motion is slow, and the texture is simple and slow. Comprehensive performance evaluation:

The corresponding curve of the encoder 1 is higher than the curve corresponding to the encoder 2, that is, the encoder 1 is superior to the encoder 2 in the comprehensive performance of image test quality and network transmission;

Single-item performance comparison: Under the same coding parameters of the same test-slice source, the network transmission performance is compared: In the scenario where the texture is simple and slow, the transmission performance of the encoder network is compared as an example. The description is as follows: The maximum window bit rate of the encoder 1 is smaller than the encoder. 2 maximum window bit rate, that is, under this scenario and encoding parameters, the encoder 1 has better network transmission performance than the encoder 2; as shown in FIG. 4 is a second preferred embodiment of the video encoding performance testing method of the present invention. For the same test chip source, the condition rate distortion curve constructed by the maximum window bit rate and the test score value of different code streams obtained by different encoder encodings;

Two of the dashed lines are the conditional rate distortion curves for the two encoders, and the solid line is the single-item performance comparison auxiliary line. Each point in the figure is a data point corresponding to different coding parameters of different test scenarios.

Single-item performance comparison: Image quality performance comparison under the same coding parameters of the same scene: In the scenario where the texture is slow and the motion is slow, the image test quality performance ratio is taken as an example. The description is as follows: The score of the encoder 1 is higher than that of the encoder 2 That is, the video test quality of the encoder 1 is superior to the encoder 2 in this test scenario.

The condition rate distortion performance proposed by the embodiment of the present invention uses the test score value to measure the compression performance of the encoder on the video test quality, and on the other hand replaces the conventional average bit rate with the maximum window bit rate, indicating the transmission of the encoder. performance. By using the condition rate distortion graph constructed according to the maximum window bit rate and the test score value as the abscissa and the ordinate, the video compression performance and the adaptability to the network transmission of different coding techniques can be obtained, and the same test source can also be obtained. Under the condition of the same coding parameters, compare the maximum window bit rate of the encoder, obtain the network transmission performance of the encoder, compare the scores, obtain the code The compression performance of the coder on the quality of the image test. Embodiment 2

5 is a schematic structural diagram of a preferred embodiment of a video coding performance testing method according to the present invention. The system includes a codec module, an average rate decision module, a maximum window acquisition module, a scoring module, and an evaluation module.

a codec module, configured to code and decode the same test video source, and obtain the coded code stream and the decoding sequence; and an average code rate determining module, configured to determine, according to the code stream, an actual output bit rate and target of the encoder to be tested Whether the relative error of the bit rate is within a certain range, wherein the specific range is:

Abs (bitrate _{t 3Ig et} — bitrate _ac[ual ) I bitrate _{t 3Ig et} * 100 % < Thres where Thres is the decision threshold, bitrate „, is the target bit rate, bitrate is the actual output bit rate, and Thres is the decision threshold. It is determined by the required test accuracy, abs

^ bitrate _{t 3lg et} ~ bitrate _actual ) to take the absolute value of bitmte _{l alg et} ~ bitrate _actual .

a target bit rate modification module, configured to modify the target bit rate such that a relative error between the re-coded actual output bit rate and the target bit rate is within the specific range;

The maximum window acquisition module is used to obtain the maximum average bit rate in the time window (ie, the maximum window bit rate is BR);

a scoring module, configured to obtain a score of the test object; the simulation test module, the formal test module, and the test score data processing module; the simulation test module is used to introduce the test purpose, requirements, how to score, familiar with the scoring process, and stable score;

The formal test module is used for formal testing to obtain a rating;

The test score data processing module is configured to process data processing of the test, including the following modules (as shown in FIG. 7):

Normalization module for linear normalization of test data for each tester, original The score of the range [-3, 3] is converted into a score of [0, 1] to eliminate individual differences; the data screening module includes a test data validity determination module for screening effective test data during the test; tester data a validity determination module for determining the validity of the tester's score, that is, for determining the validity of the tester's score according to the Pearson correlation analysis, the Spearman rank correlation analysis, and the determination threshold; the score mean calculation module, Calculate the average score of valid testers;

The inverse normalization module is used to convert the average score of the range [0, 1] into a score of [-3, 3], and the score is again corresponding to the meaning of the score.

The evaluation module is configured to obtain the video compression performance and the adaptability to the network transmission of different coding technologies according to the maximum window bit rate and the test score value constructed on the abscissa and the ordinate, and is used to acquire different coding technologies. Comparison of network transmission performance and video compression performance single performance (different performance curves of different encoders, the higher the curve position, the better the performance of the coding technology corresponding to the curve in the compression of image test quality and network transmission) Under the same conditions, the test score is compared. The higher the score, the better the quality of the video image corresponding to the coding technique. Under the same conditions, the maximum window bit rate is compared. The smaller the value, the better the network transmission performance of the corresponding coding technology. .

Figure 6 is a block diagram showing the structure of a maximum window acquisition module of a preferred embodiment of the video coding performance testing method of the present invention.

The maximum window acquisition module includes a time window determination module, a data point acquisition module, an accidental factor elimination module, and a maximum window selection module. The time window determining module is configured to determine a time window according to a client buffering time length of the actual transmission; the data point acquiring module is configured to calculate an output average bit rate in each time window as a data point (ie, a window bit rate) The accidental factor elimination module is configured to delete the window bit rate maximum value and eliminate the accident factor; the maximum window selection module is configured to arrange the remaining window bit rate sequences in descending order, and take the average value of the at least one window bit rate as the maximum Window bit rate. Condition rate distortion performance proposed by the embodiment of the present invention, on the one hand, using a score to measure the encoder in video measurement The compression performance on the quality is tested, and on the other hand the conventional average bit rate is replaced by the maximum window bit rate, indicating the transmission performance of the encoder. By using the condition rate distortion graph constructed according to the maximum window bit rate and the test score value as the abscissa and the ordinate, the video compression performance of different coding techniques and the adaptability to network transmission can be obtained, and also in the same test scenario, Under the condition of the same coding parameters, the maximum window bit rate of the encoder is compared, the network transmission performance of the encoder is obtained, the test score is compared, and the compression performance of the encoder in the image test quality is obtained.

The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. Within the scope.

Claims

Rights request

A video coding performance test method, characterized in that the method comprises the following steps: obtaining a maximum window bit rate;

Obtaining a test score value; constructing a condition rate distortion graph according to the maximum window bit rate and the test score value, and obtaining a video coding performance of the encoder.

2. The video encoding performance testing method according to claim 1, wherein the step of: "acquiring the maximum window bit rate" further comprises the steps of: determining that the relative error between the actual output bit rate of the encoder to be evaluated and the target bit rate is specific Within the scope.

3. The video encoding performance testing method according to claim 1, wherein the step further comprises the step of: determining that the relative error between the actual output bit rate of the encoder to be evaluated and the target bit rate is within a specific range. The evaluation encoder encodes and decodes the same test video source to obtain the encoded code stream and the decoding sequence.

4. A video coding performance testing method according to claim 2 or 3, wherein the specific range is:

Abs (bitrate _{t 3Ig et} — bitrate _actual ) / bitrate _{t 3Ig et} * 100 % < Thres where Thres is the decision threshold, bitrate „, is the target bit rate, bitrate is the actual output bit rate, Thres is the decision threshold, abs ( _{Toraie t} ^ _et ~ bitrate _actual ) is the absolute value of bitmte - bitmte _actual .

5. The video encoding performance testing method according to claim 1, wherein said obtaining is performed. The method for maximizing the window bit rate includes: determining a time window according to a client buffering duration in an actual transmission;

Calculating an output average bit rate within each time window as a window bit rate value;

Delete the maximum bit rate of the window;

The remaining window bit rate sequences are arranged in descending order, and the average of the at least one window bit rate is taken as the maximum window bit rate.

The video encoding performance testing method according to claim 1, wherein the step of: constructing a condition rate distortion graph according to the maximum window bit rate and the test score value, and acquiring a video encoding of the encoder "Performance" includes: obtaining video compression performance and adaptability to network transmission according to the conditional rate distortion graph; obtaining the quality of the image in the image by comparing the test score values at the same maximum window bit rate The compression performance on the filter, and/or the encoder network transmission performance is obtained by comparing the maximum window bit rate under the same test score value.

7. The video coding performance test method according to claim 1, wherein the step of "acquiring a test score value" comprises:

Perform a simulation test to familiarize yourself with the scoring process;

Conduct a formal test to obtain a rating;

Test score processing.

8. The video coding performance test method according to claim 7, wherein the step of "test scoring processing" comprises:

Test data normalization;

Conduct effective test data screening;

Calculate the mean of all valid testers based on valid test data; The test data is inverse normalized.

9. The video coding performance test method according to claim 8, wherein the step of "improving effective test data screening" includes:

Screening valid test data during the test;

Determine the validity of the tester's score.

10. The video coding performance test method according to claim 9, wherein the step of "determining the validity of the tester's score" includes:

Pearson correlation analysis; Spearman rank correlation analysis;

Determining a decision threshold;

Determine the validity of the tester's score data.

A video coding performance test system, the system comprising: a maximum window acquisition module, configured to obtain a maximum window bit rate;

12. The video coding performance testing system of claim 11, wherein the system further comprises:

An average rate determining module is connected to the maximum window obtaining module, and configured to determine whether a relative error between an actual output bit rate of the to-be-evaluated encoder and a target bit rate is within a specific range;

a target bit rate modification module, coupled to the average bit rate decision module, for modifying the target The bit rate is such that the error of the actual output bit rate output after re-encoding and the target bit rate is within the specific range.

13. The video coding performance testing system of claim 11, wherein the system further comprises:

The codec module is connected to the average rate decision module and the target bit rate modification module for encoding and decoding the same source and obtaining the encoded code stream and the decoding sequence.

The video coding performance test system of claim 11, wherein the maximum window acquisition module comprises:

a time window determining module, configured to determine a time window according to a client buffering duration of the actual transmission; a data point obtaining module, configured to calculate an output average bit rate in each time window as a window bit rate value;

An accidental factor elimination module for deleting a window bit rate maximum;

The maximum window selection module is configured to sort the remaining window bit rate sequences in descending order, and take the average of the at least one window bit rate as the maximum window bit rate.

15. The video coding performance testing system of claim 12, wherein the specific range is:

Abs (bitrate _{t aig et} - bitrate _actual ) / bitrate _{t aig et} * 100 % < Thres where Thres is the decision threshold, bitrate _ot is the target bit rate, is the actual output bit rate, Thres is the decision threshold, abs (to _{raie t mg et} - bitrate _actual ) is the absolute value of bitmte _et _ bitrate _actl .

The video coding performance testing system according to claim 12, wherein the evaluation module comprises:

Simulation test module, used for simulation test, familiar with the scoring process, stable score; A test score data processing module is configured to calculate an average of all valid tester scores based on valid test score data to obtain a final score.

17. The video coding performance testing system of claim 16, wherein the test score data processing module comprises:

A normalization module for linearly normalizing the test data of each tester, converting the score of the original range [-3, 3] into a score of [0, 1]; the data screening module, including the test data a validity determination module for screening valid test data during the test, a tester data validity determination module for determining the validity of the tester's score, and a score mean calculation module for calculating an average score of the effective tester;

An anti-normalization module that converts the average score of the range [0, 1] into a score of [-3, 3].

18. The video coding performance testing system of claim 17, wherein the determining the validity of the tester score is:

The validity of the tester's score was determined based on Pearson correlation analysis, Spearman rank correlation analysis, and decision threshold.