CN109862359A - Bit rate control method, device and electronic equipment based on hierarchical B-frame - Google Patents
Bit rate control method, device and electronic equipment based on hierarchical B-frame Download PDFInfo
- Publication number
- CN109862359A CN109862359A CN201811653605.5A CN201811653605A CN109862359A CN 109862359 A CN109862359 A CN 109862359A CN 201811653605 A CN201811653605 A CN 201811653605A CN 109862359 A CN109862359 A CN 109862359A
- Authority
- CN
- China
- Prior art keywords
- frame
- image
- bit rate
- gop
- target bit
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Compression Or Coding Systems Of Tv Signals (AREA)
Abstract
The present invention provides a kind of bit rate control method based on hierarchical B-frame, device and electronic equipments, wherein this method includes obtaining raw video signal；Resampling is carried out to it, the vision signal after resampling includes multiple image；Precoding processing is carried out to each frame image, obtains its corresponding SATD value；Multiple image is divided into multiple GOP, the target bit rate of each GOP is obtained according to pre-arranged code parameter；According to the SATD value of the target bit rate of GOP and each frame image, the target bit rate of each frame image is obtained；According to the target bit rate of current frame image, the quantization parameter of current frame image is obtained using preset linear model；Quantization parameter is adjusted according to preset condition, then linear model is updated, obtains the quantization parameter of next frame image.The present invention can distribute the code rate of each frame according to the video content adaptive of image, in finite bandwidth and under the premise of do not increase complexity, stablize encoder bit rate, improve coding quality.
Description
Technical field
The present invention relates to technical field of video image processing, more particularly, to a kind of code rate controlling party based on hierarchical B-frame
Method, device and electronic equipment.
Background technique
It is also increasing for the demand of video definition with the fast development of the technologies such as multimedia, network transmission.?
In the actual scenes such as television broadcasting, meeting live streaming, tele-medicine, low delay ultra high-definition has huge application demand.In order to
Secured transmission of payload data under channel width and the conditional situation of transmission delay, to ensure the play quality of video, it usually needs right
Cataloged procedure carries out code rate control, and so-called code rate control, is exactly by selecting a series of coding parameters, to the defeated of video encoder
Bit is adjusted in real time out, so that code rate required for the bit rate after coding meets limits, and makes coding distortion most
Measure small, compared to traditional IBBBP structure, hierarchical B-frame structure has higher code efficiency, but due to different time horizons
Code rate control with different characteristics, therefore hierarchical B-frame structure is also more difficult.
Summary of the invention
In view of this, the purpose of the present invention is to provide a kind of bit rate control method based on hierarchical B-frame, device and electronics
Equipment improves coding quality to stablize encoder bit rate in finite bandwidth and under the premise of do not increase complexity.
In a first aspect, the embodiment of the invention provides a kind of bit rate control methods based on hierarchical B-frame, wherein include: to obtain
Take raw video signal；Resampling is carried out to raw video signal, the vision signal after obtaining resampling；Video after resampling
Signal includes multiple image；Precoding processing is carried out to each frame image of multiple image, the transformation for obtaining each frame image is exhausted
To error and SATD value；Multiple image is divided into multiple images group GOP, the mesh of each GOP is obtained according to pre-arranged code parameter
Coding rate；According to the SATD value of each frame image in the target bit rate of each GOP and the corresponding GOP of target bit rate, obtain every
The target bit rate of each frame image in a GOP；According to the target bit rate of the image of present frame, obtained using preset linear model
To the quantization parameter of the image of present frame；Quantization parameter is adjusted according to preset condition, according to quantization parameter adjusted
Linear model is updated, obtains the quantization parameter of next frame image using updated linear model.
With reference to first aspect, the embodiment of the invention provides the first possible embodiments of first aspect, wherein more
Frame image includes I frame, P frame and B frame；Precoding processing is carried out to each frame image of multiple image, obtains each frame image
Convert absolute error and SATD value, comprising: each frame image is divided into multiple coding unit CTU；To each CTU of I frame
The SATD value in multiple default frames under angle prediction mode is calculated separately, the smallest SATD value is determined as current CTU's
SATD value；SATD under intra mode, inter_2N*2N mode and skip mode is calculated separately to each CTU of P frame
The smallest SATD value, is determined as the SATD value of current CTU by value；To each CTU of B frame calculate separately intra mode,
The smallest SATD value is determined as the SATD value of current CTU by the SATD value under inter_2N*2N mode and skip mode；It will be every
The SATD value of all CTU of one frame image is overlapped, and obtains the SATD value of each frame image.
With reference to first aspect, the embodiment of the invention provides second of possible embodiments of first aspect, wherein pre-
If coding parameter includes video frame rate and encoding target code rate.
The possible embodiment of with reference to first aspect the first, the embodiment of the invention provides the third of first aspect
Possible embodiment, wherein according to each frame figure in the target bit rate of each GOP and the corresponding GOP of the target bit rate
The SATD value of picture obtains the target bit rate of each frame image in each GOP, comprising: the P frame for including according to current GOP
The weight of the SATD value for the B frame that SATD value, current GOP include and preset P frame and hierarchical B-frame, obtains the SATD of current GOP
Value；According to the transformation absolute error of the target bit rate of current GOP, the SATD value of current GOP, weight and current GOP the P frame for including
With obtain the target bit rate of P frame；Include according to the corresponding SATD value of the target bit rate of the target bit rate of P frame, P frame and current GOP
B frame SATD value, obtain the target bit rate of B frame；According to the gap length and coding ginseng between current I frame and a upper I frame
Number, obtains the target bit rate of I frame.
With reference to first aspect, the embodiment of the invention provides the 4th kind of possible embodiments of first aspect, wherein pre-
If linear model are as follows:
QP=α SATD/R；
Wherein, QP indicates the quantization parameter of the image of present frame；The model parameter of α expression linear model；SATD expression is worked as
The SATD value of the image of previous frame；R indicates the target bit rate of the image of present frame.
With reference to first aspect, the embodiment of the invention provides the 5th kind of possible embodiments of first aspect, wherein root
Quantization parameter is adjusted according to preset condition, comprising: according to the target bit rate of preset video cache verifier and present frame,
Obtain the test value VBV of present frame；VBV and preset safety zone are compared, according to comparing result adjusting quantization parameter, directly
It is located in safety zone to the corresponding VBV of quantization parameter adjusted.
The 4th kind of possible embodiment with reference to first aspect, the embodiment of the invention provides the 6th kind of first aspect
Possible embodiment, wherein linear model is updated according to quantization parameter adjusted, comprising: utilize following formula
Model parameter is updated:
α '=SATD/ (QPR)
αcurrent+ 0.8 α of=0.2 α 'last；
Wherein, αcurrentIndicate updated model parameter；αlastIndicate the model parameter before updating.
With reference to first aspect, the embodiment of the invention provides the 7th kind of possible embodiments of first aspect, wherein should
Method further include: calculate the short-time average SATD value of the forward sequence of each frame；Before the SATD value and present frame of present frame
It is compared to the short-time average SATD value of sequence, judges whether present frame is scene switching frame according to comparing result；If so,
Linear model is initialized, the quantization parameter of present frame is determined according to the linear model after initialization.
Second aspect, the embodiment of the present invention also provide a kind of rate control device based on hierarchical B-frame, wherein include: weight
Sampling module, for obtaining raw video signal；Resampling is carried out to raw video signal, the video letter after obtaining resampling
Number；Vision signal after resampling includes multiple image；Precoding module carries out pre- for each frame image to multiple image
Coded treatment obtains the transformation absolute error and SATD value of each frame image；First computing module, for dividing multiple image
At multiple images group GOP, the target bit rate of each GOP is obtained according to pre-arranged code parameter；Second computing module, for according to every
The SATD value of each frame image in the corresponding GOP of target bit rate and target bit rate of a GOP, obtains each in each GOP
The target bit rate of frame image；Quantization parameter computing module utilizes preset line for the target bit rate according to the image of present frame
Property model obtains the quantization parameter of the image of present frame；Update module is adjusted, for carrying out according to preset condition to quantization parameter
Adjustment, is updated linear model according to quantization parameter adjusted, obtains next frame figure using updated linear model
The quantization parameter of picture.
The third aspect, the embodiment of the invention also provides a kind of electronic equipment, including memory, processor, in memory
It is stored with the computer program that can be run on a processor, wherein processor realizes above-mentioned first party when executing computer program
The step of method described in face.
The embodiment of the present invention bring it is following the utility model has the advantages that
The embodiment of the invention provides a kind of bit rate control method based on hierarchical B-frame, device and electronic equipments, wherein
This method comprises: obtaining raw video signal；Resampling is carried out to raw video signal, the vision signal after obtaining resampling；
Vision signal after resampling includes multiple image；Precoding processing is carried out to each frame image of multiple image, is obtained each
The transformation absolute error and SATD value of frame image；Multiple image is divided into multiple images group GOP, is obtained according to pre-arranged code parameter
To the target bit rate of each GOP；According to each frame image in the target bit rate of each GOP and the corresponding GOP of target bit rate
SATD value obtains the target bit rate of each frame image in each GOP；According to the target bit rate of the image of present frame, using pre-
If linear model obtain present frame image quantization parameter；Quantization parameter is adjusted according to preset condition, according to tune
Quantization parameter after whole is updated linear model, is joined using the quantization that updated linear model obtains next frame image
Number.The embodiment of the present invention can distribute the code rate of each frame according to the video content adaptive of image, in finite bandwidth and not
Under the premise of increasing complexity, stablize encoder bit rate, improves coding quality.
Other features and advantages of the present invention will illustrate in the following description, alternatively, Partial Feature and advantage can be with
Deduce from specification or unambiguously determine, or by implementing above-mentioned technology of the invention it can be learnt that.
To enable the above objects, features and advantages of the present invention to be clearer and more comprehensible, better embodiment is cited below particularly, and match
Appended attached drawing is closed, is described in detail below.
Detailed description of the invention
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art be briefly described, it should be apparent that, it is described below
Attached drawing is some embodiments of the present invention, for those of ordinary skill in the art, before not making the creative labor
It puts, is also possible to obtain other drawings based on these drawings.
Fig. 1 is a kind of flow chart of the bit rate control method based on hierarchical B-frame provided in an embodiment of the present invention；
Fig. 2 is that a kind of couple of GOP provided in an embodiment of the present invention is handled, and obtains the QP value of each frame image in GOP
Flow chart；
Fig. 3 is a kind of structural schematic diagram of GOP provided in an embodiment of the present invention；
Fig. 4 is a kind of structural schematic diagram of the rate control device based on hierarchical B-frame provided in an embodiment of the present invention；
Fig. 5 is the structural schematic diagram of a kind of electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with attached drawing to the present invention
Technical solution be clearly and completely described, it is clear that described embodiments are some of the embodiments of the present invention, rather than
Whole embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art are not making creative work premise
Under every other embodiment obtained, shall fall within the protection scope of the present invention.
Currently, rate control algorithm focuses on determining quantization parameter (Quantization relevant to code rate
Parameter, abbreviation QP), in general rate control techniques include variable bit rate control (Variable Bit Rate, letter
Claim VBR) (Constant Bit Rate, abbreviation CBR) both of which is controlled with fixed bit rate, wherein since CBR mode can
It to make full use of bandwidth in the limited situation of channel width, thus is widely adopted in television broadcasting field, video image is
By some time continuous image construction, when being encoded, video image is usually divided into several small image groups
Video image is divided into more by (Group Of Pictures, abbreviation GOP) based on the gop structure of hierarchical B-frame according to time grade
A time horizon is encoded, including a Primary layer and multiple enhancement layers.When being encoded, the image of Primary layer does not depend on it
His image layer, and the image of enhancement layer is necessarily dependent upon other image layers, the image layer of low time stage as reference frame by it is high when
The image reference of intercaste image layer, still, it is existing based on the bit rate control method of hierarchical B-frame according to previous GOP coding after
Information, distribute the current GOP target bit of each time horizon, or B frame different layers are controlled using preset weight coefficient
Target bit rate, there is no considering that video content variation bring influences, or complicated using the MAD measurement picture frame of prediction
Degree, when picture material is complex, the target bit rate control that will lead to each frame is inaccurate, influences coding quality, can not be well
In video processing procedure applied to low delay ultra high-definition, it is based on this, it is provided in an embodiment of the present invention a kind of based on hierarchical B-frame
Bit rate control method, device and electronic equipment can be applied in the scene for carrying out the processing of low delay ultra high-definition to video image.
For convenient for understanding the present embodiment, first to a kind of based on hierarchical B-frame disclosed in the embodiment of the present invention
Bit rate control method describes in detail.
The flow chart of a kind of bit rate control method based on hierarchical B-frame shown in Figure 1, wherein this method step is such as
Under:
Step S102 obtains raw video signal；
Step S104 carries out resampling to raw video signal, the vision signal after obtaining resampling；View after resampling
Frequency signal includes multiple image；
After obtaining raw video signal, to raw video signal carry out resampling, to high-resolution vision signal into
The vision signal of comparatively low resolution is obtained after row resampling.
Resampling is carried out for the high-definition video signal of W × H to resolution ratio specifically, can use in bilinearity, obtains phase
To the vision signal (W/2 × H/2) of low resolution, wherein W, H respectively indicate of wide, on high direction the pixel of vision signal
Number.
Then Coded Analysis processing is carried out to the vision signal of comparatively low resolution, when handling vision signal,
Vision signal is divided into image one by one, Coded Analysis processing is all carried out to each frame image.
Step S106 carries out precoding processing to each frame image of multiple image, and the transformation for obtaining each frame image is exhausted
To error and SATD value；
Vision signal includes multiple image, and the type of picture frame includes I frame, P frame and B frame, respectively to each frame image into
Row precoding processing obtains the transformation absolute error and (Sum of Absolute Transform of each frame image
Difference, abbreviation SATD).
Core for the code rate control of low delay is the model constructed between video frame complexity and coded-bit.Video
The common mode of frame complexity metric has: absolute error and (Sum of Absolute Difference, abbreviation SAD), transformation
Absolute error and (Sum of Absolute Transform Difference, abbreviation SATD), error sum of squares (Sum of
Square Difference, abbreviation SSD), mean absolute error (Mean Absolute Difference, abbreviation MAD) etc..
Wherein, SATD is prediction residual absolute value the sum of of the residual error through Ha Deman transformation (Hadamard Transform), can will be breathed out
Simple time-frequency conversion is regarded in De Man transformation as, and value can reflect the size for generating code stream to a certain extent, so carrying out pre-
When coded treatment, the SATD value of each frame image need to be calculated, using the SATD value being calculated as original video frame complexity
The measurement of degree.
When calculating the SATD value of each frame image, need each frame image being divided into multiple coding unit (Coding
Tree Unit, abbreviation CTU), in order to preferably carry out coded treatment, coding quality is improved, the size of CTU is using 16 × 16
It is relatively good, then each CTU is handled, the SATD value of each CTU is calculated, then by the image institute of each frame
There is the SATD value of CTU to be overlapped, the SATD value of the image of each frame can be obtained.
Since the type of picture frame is different, the method for the SATD value use of CTU is calculated not for different types of picture frame
Together.
For each CTU of I frame, each CTU is calculated separately in multiple default frames under angle prediction mode
SATD value selects optimal angle direction of the corresponding prediction mode of the smallest SATD value as current CTU, by the smallest SATD
It is worth the SATD value as current CTU, the SATD value of each CTU in I frame can be obtained in this way, to obtain current I frame
SATD value, for different video compression standards, using different prediction modes, such as HEVC standard, using the standard angle
Mode 0, mode 2, mode 10, mode 18, mode 26 and mode 34 in degree mode；For AVS2 standard, using the standard angle
Mode 0, mode 6, mode 12, mode 18, mode 24 and mode 30 in degree mode.
For B frame and P frame, each CTU for including to it using same method is handled, and calculates separately each
SATD value of the CTU under intra mode, inter_2N*2N mode and skip mode selects the corresponding mode of the smallest SATD value
B frame can be obtained in this way using the smallest SATD value as the SATD value of current CTU as the optimal prediction modes of current CTU
Or the SATD value of P frame.
Multiple image is divided into multiple images group GOP, obtains each GOP's according to pre-arranged code parameter by step S108
Target bit rate；
By multiple image according to the Type division of frame at multiple images group GOP, division rule can be real using the prior art
Existing, details are not described herein, and the target bit rate of each GOP is calculated according to preset coding parameter for each GOP, presets
Coding parameter include video frame rate and encoding target code rate.
Step S110, according to the SATD of each frame image in the target bit rate of each GOP and the corresponding GOP of target bit rate
Value, obtains the target bit rate of each frame image in each GOP；
Each GOP is obtained according to the SATD value of each frame image in the target bit rate of current GOP and current GOP
The target bit rate of each frame image into current GOP carries out such processing to each GOP, can obtain vision signal
In each frame image target bit rate.
Step S112 obtains the figure of present frame using preset linear model according to the target bit rate of the image of present frame
The quantization parameter of picture；
The target bit rate of picture frame and the first-order linear model of quantization parameter QP are pre-established, by the target of each frame image
Code rate is input in the linear model, can obtain the quantization parameter of each frame image.
Step S114 is adjusted quantization parameter according to preset condition, according to quantization parameter adjusted to linear mould
Type is updated, and obtains the quantization parameter of next frame image using updated linear model.
After the quantization parameter that each frame image is calculated, needs to judge the quantization parameter, judge the quantization
Whether parameter meets expected imagination, is judged using preset condition quantization parameter, if not meeting preset condition,
Be considered not meet expected imagination, need to be adjusted the quantization parameter, to the quantization parameter after being adjusted continue into
Row judgement, until quantization parameter adjusted meets preset condition, then according to quantization parameter adjusted to linear mould
Type is updated, and the quantization parameter that next frame image is calculated is removed using updated New model.
The embodiment of the invention provides a kind of bit rate control method based on hierarchical B-frame, this method is by obtaining original view
Frequency signal；Resampling is carried out to raw video signal, the vision signal after obtaining resampling；Vision signal after resampling includes
Multiple image；Precoding processing is carried out to each frame image of multiple image, obtain each frame image transformation absolute error and
SATD value；Multiple image is divided into multiple images group GOP, the target bit rate of each GOP is obtained according to pre-arranged code parameter；Root
According to the SATD value of each frame image in the corresponding GOP of target bit rate and target bit rate of each GOP, obtain in each GOP
The target bit rate of each frame image；According to the target bit rate of the image of present frame, present frame is obtained using preset linear model
Image quantization parameter；Quantization parameter is adjusted according to preset condition, according to quantization parameter adjusted to linear mould
Type is updated, and obtains the quantization parameter of next frame image using updated linear model.The embodiment of the present invention can basis
The video content adaptive of image distributes the code rate of each frame, in finite bandwidth and under the premise of do not increase complexity, stablizes
Encoder bit rate improves coding quality.
Corresponding to foregoing invention embodiment, the embodiment of the present invention carries out above-mentioned treatment process by taking a GOP as an example detailed
Illustrate, as shown in Fig. 2, specific processing step is as follows:
Step S202 obtains the target bit rate of current GOP according to pre-arranged code parameter；
Preset coding parameter includes video frame rate and encoding target code rate, according to preset coding parameter and currently
The target bit rate of current GOP is calculated using following formula for the length of GOP:
RGOP=lengthGOP/FPS×BitRate；
Wherein, RGOPIndicate the target bit rate of current GOP；lengthGOPIndicate the length of current GOP；FPS indicates video frame
Rate；BitRate presentation code target bit rate.
Step S204 is worked as according to the SATD value of each frame image in the target bit rate of current GOP and current GOP
The target bit rate of each frame image in preceding GOP；
The structural schematic diagram of GOP shown in Figure 3 a kind of, the image layer of the GOP include a Primary layer and three increasings
Strong layer B0、B1And B2, Primary layer includes 1 frame and P frame, and enhancement layer includes B frame, and when being encoded, the image of Primary layer is not needed
Dependent on other image layers, and enhancement layer B0Image need the coding result of Primary layer as a reference to realizing coding；Increase
Strong layer B1Image need Primary layer and enhancement layer B0Coding result as a reference to realize coding；Enhancement layer B2Image
It needs Primary layer, enhancement layer B0With enhancement layer B1Coding result as a reference to realize coding.
Before the target bit rate for calculating each frame image in current GOP, need first to calculate the SATD value of current GOP,
The SATD value of current GOP is only related to B frame and P frame, according to the SATD value of P frame, the SATD value of B frame and preset P frame and divides
The weight of layer B frame, the SATD value of current GOP is calculated using following formula:
Wherein, SATDGOPIndicate the SATD value of current GOP；I indicates the type of frame, including B frame and P frame；wiIndicate i frame pair
The weighted value answered；SATDiIndicate the SATD value of i frame.
Preset the weighted value of B frame and P frame are as follows:
Since the type of picture frame in GOP is different, for different types of picture frame, it is carried out using different methods
Processing, obtains the target bit rate of each frame image.
For P frame, since P frame is Primary layer, according to the target bit rate of current GOP, the SATD value of current GOP, the power of P frame
The SATD value of weight values and P frame, the target bit rate of P frame can be obtained using following formula:
RP=RGOP·wP·SATDP/SATDGOP；
Wherein, RPIndicate the target bit rate of P frame；RGOPIndicate the target bit rate of GOP；wPIndicate the weighted value of P frame；SATDP
Indicate the SATD value of P frame；SATDGOPIndicate the SATD value of GOP.
For B frame, since B frame is enhancement layer, need to be calculated the target of itself by means of the target bit rate of Primary layer P frame
Each increasing is calculated using following formula according to the target bit rate of P frame, the SATD value of the SATD value of P frame and B frame in code rate
The target bit rate of the B frame of strong layer:
Ri=RP·SATDi/SATDP；
Wherein, RiIndicate that the target bit rate of i frame, i frame indicate the B frame of enhancement layer；RPIndicate the target bit rate of P frame；SATDi
Indicate the SATD value of i frame；SATDPIndicate the SATD value of P frame.
Using above-mentioned formula, enhancement layer B can be calculated0、B1And B2The target bit rate of the B frame of each layer.
For I frame, since I frame is key frame, the processing for key frame, need according to current I frame and a upper I frame it
Between gap length and preset coding parameter, the target bit rate of current I frame is calculated using following formula:
RI=lengthgap_I/lengthGOP×BitRate；
Wherein, RIIndicate the target bit rate of current I frame；lengthgap-IBetween indicating between current I frame and a upper I frame
Every length；lengthGOPIndicate the length of current GOP；BitRate presentation code target bit rate.
Step S206 obtains each frame image using preset linear model according to the target bit rate of each frame image
Quantization parameter.
Preset linear model are as follows:
QP=α SATD/R；
Wherein, QP indicates the quantization parameter of the image of present frame；The model parameter of α expression linear model；SATD expression is worked as
The SATD value of the image of previous frame；R indicates the target bit rate of the image of present frame.
When calculating B frame and P frame, respectively by the SATD of the target bit rate and P frame of the SATD value of B frame and B frame
The target bit rate of value and P frame is brought into linear model, and the QP value of B frame and P frame can be calculated, when calculating I frame,
The short-time average SATD value for needing first to calculate the forward sequence of I frame, by the short-time average SATD value and I frame of the forward sequence of I frame
Target bit rate bring into linear model, the QP value of I frame is calculated.
When being encoded to each frame image, it is also necessary to carry out scene detection, that is, judge video image content in the time
On whether have stronger correlation, judgment method be calculate the short-time average SATD value of the forward sequence of each frame image, and
The short-time average SATD value of the SATD value of present frame and the forward sequence of present frame is compared, is worked as according to comparing result judgement
Whether previous frame is scene switching frame, if so, linear model is initialized, is worked as according to the linear model determination after initialization
The quantization parameter of previous frame.
Utilization index reinforces average thought the short-time average SATD value of the forward sequence of present frame is calculated, specifically
It is calculated using following formula:
SATDaverage(n)=β SATDaverage(n-1)+(1-β)·SATDcurrent；
Wherein, SATDaverage(n) the short-time average SATD value of the forward sequence of present frame is indicated；β indicates decay factor,
Value is 0.5；SATDaverage(n-1) the short-time average SATD value of the forward sequence of the former frame of present frame is indicated；SATDcurrent
Indicate the SATD value of present frame.
By the SATD of present framecurrentWith the SATD being calculatedaverage(n) it is compared, if SATDcurrent>
SATDaverage1.5 or SATDcurrent<SATDaverage/ 1.5, then determine that the picture material of present frame is unrelated with forward frame,
And present frame is determined as scene switching frame, it needs to initialize linear model at this time, utilizes the linear mould after initialization
Type determines the quantization parameter QP value of present frame.
Each GOP is handled using above-mentioned steps, the QP value of each frame image can be obtained.
The embodiment of the present invention is to improve the existing rate control algorithm based on hierarchical B-frame structure, introduce based on time etc.
The Rate Control Schem of the hierarchical B-frame of grade layer, the B frame of grading layer at the same time is controlled as a whole, is realized
Corresponding time grade layer bit rate control operation, and the B frame of weight coefficient processing different time grading layer is introduced, distribution is corresponding
Target bit introduces adaptive bits allocation scheme for the application scenarios of low delay ultra high-definition, realize to point
The effective code rate control of layer B frame coding structure.The embodiment of the present invention can distribute each according to the video content adaptive of image
The code rate of frame stabilizes encoder bit rate, improves coding quality in finite bandwidth and under the premise of do not increase complexity.
Corresponding to foregoing invention embodiment, the embodiment of the invention also provides a kind of methods that linear model updates, specifically
Treatment process is as follows:
Since the model parameter of linear model is a priori value, require to be iterated more after true coding each time
Newly, when Thread Count is more, the hysteresis quality of update can bring serious code rate to fluctuate, and therefore, it is necessary to carry out about to code rate fluctuation
Beam, primarily directed to I frame and P frame, after determining the QP value of present frame, needs to be examined according to preset video cache in adjustment
It tests device to be adjusted the QP value of present frame, to ensure that code rate is as steady as possible.
According to the target bit rate of preset video cache verifier and present frame, the test value VBV of present frame is obtained；
By VBV and preset safety zone (VBVlow, VBVhigh) compare, needs are judged whether according to comparing result
Adjusting quantization parameter needs to turn down QP value, if the VBV of present frame is big if the VBV of present frame is less than the minimum value of safety zone
Maximum value in safety zone then needs to tune up QP value, if the VBV of present frame is located in safety zone, without adjustment.
The adjustment of QP value is the process of a continuous iteration, adjusts all increase or decrease on the basis of former QP value each time
One preset value, more preferably scheme is to increase or decrease 1 every time, according to QP value adjusted, obtains new target bit rate,
VBV value is predicted using new target bit rate, if the VBV value of prediction is located in preset safety zone, stops iteration mistake
Otherwise journey repeats the above process always until the corresponding VBV of QP value adjusted is located in safety zone.
New target bit rate is calculated using following formula:
R=α SATD/QP；
Wherein, R indicates new target bit rate；α indicates model parameter；The SATD value of SATD expression present frame；QP indicates to adjust
QP value after whole.
After the completion of each frame image coding, need to be updated VBV value using following formula:
VBVcurrent=VBVlast+BitRate/FPS-bitcurrent；
Wherein, VBVcurrentIndicate updated VBV value；VBVlastIndicate the VBV value before updating；BitRate presentation code
Target bit rate；FPS indicates video frame rate；bitcurrentIndicate the bit number of present frame.
It also needs to be updated model parameter using following formula:
α '=SATD/ (QPR)
αcurrent+ 0.8 α of=0.2 α 'last；
Wherein, αcurrentIndicate updated model parameter；αlastIndicate the model parameter before updating；SATD indicates current
The SATD value of frame；The QP value of QP expression present frame；The target bit rate of R expression present frame.
The embodiment of the present invention can be good at coping with the code requirement of low delay ultra high-definition, and can be wide in fixed channel
Under the premise of spending and not increasing complexity, coding quality is improved.
Corresponding to foregoing invention embodiment, the embodiment of the invention also provides a kind of, and the code rate based on hierarchical B-frame controls dress
It sets, as shown in Figure 4, wherein the device includes:
Resampling module 40, for obtaining raw video signal；Resampling is carried out to raw video signal, obtains resampling
Vision signal afterwards；Vision signal after resampling includes multiple image；
Precoding module 41 carries out precoding processing for each frame image to multiple image, obtains each frame image
Transformation absolute error and SATD value；
First computing module 42 is obtained for multiple image to be divided into multiple images group GOP according to pre-arranged code parameter
The target bit rate of each GOP；
Second computing module 43, for each frame in the corresponding GOP of target bit rate and target bit rate according to each GOP
The SATD value of image obtains the target bit rate of each frame image in each GOP；
Quantization parameter computing module 44 utilizes preset linear model for the target bit rate according to the image of present frame
Obtain the quantization parameter of the image of present frame；
Update module 45 is adjusted, for being adjusted according to preset condition to quantization parameter, is joined according to quantization adjusted
Several pairs of linear models are updated, and obtain the quantization parameter of next frame image using updated linear model.
Rate control device provided in an embodiment of the present invention based on hierarchical B-frame is based on dividing with provided by the above embodiment
The bit rate control method technical characteristic having the same of layer B frame reaches identical skill so also can solve identical technical problem
Art effect.
The embodiment of the invention also provides a kind of electronic equipment, as shown in figure 5, electronic equipment 5 includes memory 51, processing
Device 52, the computer program that can be run on the processor 52 is stored in memory 51, and processor executes real when computer program
The step of method that existing foregoing invention embodiment provides.
Referring to Fig. 5, electronic equipment further include: bus 53 and communication interface 54, processor 52, communication interface 54 and memory
51 are connected by bus 53；Processor 52 is for executing the executable module stored in memory 51, such as computer program.
Wherein, memory 51 may include high-speed random access memory (RAM, Random Access Memory),
It may further include nonvolatile memory (non-volatile memory), for example, at least a magnetic disk storage.By at least
One communication interface 54 (can be wired or wireless) realizes the communication between the system network element and at least one other network element
Connection, can be used internet, wide area network, local network, Metropolitan Area Network (MAN) etc..
Bus 53 can be isa bus, pci bus or eisa bus etc..It is total that bus can be divided into address bus, data
Line, control bus etc..Only to be indicated with a four-headed arrow in Fig. 5, it is not intended that an only bus or one convenient for indicating
The bus of seed type.
Wherein, memory 51 is for storing program, and processor 52 executes program after receiving and executing instruction, and aforementioned
Method performed by invention any embodiment can be applied in processor 52, or be realized by processor 52.
Processor 52 may be a kind of IC chip, the processing capacity with signal.During realization, above-mentioned side
Each step of method can be completed by the integrated logic circuit of the hardware in processor 52 or the instruction of software form.Above-mentioned
Processor 52 can be general processor, including central processing unit (Central Processing Unit, abbreviation CPU), network
Processor (Network Processor, abbreviation NP) etc.；It can also be digital signal processor (Digital Signal
Processing, abbreviation DSP), specific integrated circuit (Application Specific Integrated Circuit, referred to as
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, abbreviation FPGA) or other are programmable
Logical device, discrete gate or transistor logic, discrete hardware components.It may be implemented or execute in the embodiment of the present invention
Disclosed each method, step and logic diagram.General processor can be microprocessor or the processor is also possible to appoint
What conventional processor etc..The step of method in conjunction with disclosed in the embodiment of the present invention, can be embodied directly in hardware decoding processing
Device executes completion, or in decoding processor hardware and software module combination execute completion.Software module can be located at
Machine memory, flash memory, read-only memory, programmable read only memory or electrically erasable programmable memory, register etc. are originally
In the storage medium of field maturation.The storage medium is located at memory 51, and processor 52 reads the information in memory 51, in conjunction with
Its hardware completes the step of above method.
The embodiment of the present invention also provide it is a kind of with processor can be performed non-volatile program code it is computer-readable
Medium, program code make processor execute the method as described in above-mentioned inventive embodiments.
The computer-readable medium of the non-volatile program code provided in an embodiment of the present invention that can be performed with processor,
It is reached with inventive embodiments provided by the above embodiment technical characteristic having the same so also can solve identical technical problem
To identical technical effect.
Computer program product provided by the embodiment of the present invention, including storing the executable non-volatile journey of processor
The computer readable storage medium of sequence code, the instruction that program code includes can be used for executing previous methods as described in the examples
Method, specific implementation can be found in embodiment of the method, and details are not described herein.
It, can be with if the function is realized in the form of SFU software functional unit and when sold or used as an independent product
It is stored in a computer readable storage medium.Based on this understanding, technical solution of the present invention is substantially in other words
The part of the part that contributes to existing technology or the technical solution can be embodied in the form of software products, the meter
Calculation machine software product is stored in a storage medium, including some instructions are used so that a computer equipment (can be a
People's computer, server or network equipment etc.) it performs all or part of the steps of the method described in the various embodiments of the present invention.
And storage medium above-mentioned includes: that USB flash disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), arbitrary access are deposited
The various media that can store program code such as reservoir (RAM, Random Access Memory), magnetic or disk.
Finally, it should be noted that embodiment described above, only a specific embodiment of the invention, to illustrate the present invention
Technical solution, rather than its limitations, scope of protection of the present invention is not limited thereto, although with reference to the foregoing embodiments to this hair
It is bright to be described in detail, those skilled in the art should understand that: anyone skilled in the art
In the technical scope disclosed by the present invention, it can still modify to technical solution documented by previous embodiment or can be light
It is readily conceivable that variation or equivalent replacement of some of the technical features；And these modifications, variation or replacement, do not make
The essence of corresponding technical solution is detached from the spirit and scope of technical solution of the embodiment of the present invention, should all cover in protection of the invention
Within the scope of.Therefore, protection scope of the present invention should be based on the protection scope of the described claims.
Claims (10)
1. a kind of bit rate control method based on hierarchical B-frame characterized by comprising
Obtain raw video signal；
Resampling is carried out to the raw video signal, the vision signal after obtaining resampling；Video letter after the resampling
Number include multiple image；
Precoding processing is carried out to each frame image of the multiple image, obtains the transformation absolute error of each frame image
With SATD value；
The multiple image is divided into multiple images group GOP, the object code of each GOP is obtained according to pre-arranged code parameter
Rate；
According to the SATD value of each frame image in the target bit rate of each GOP and the corresponding GOP of the target bit rate, obtain
The target bit rate of each frame image into each GOP；
According to the target bit rate of the image of present frame, joined using the quantization that preset linear model obtains the image of the present frame
Number；
The quantization parameter is adjusted according to preset condition, the linear model is carried out according to quantization parameter adjusted
It updates, obtains the quantization parameter of next frame image using updated linear model.
2. the method according to claim 1, wherein the multiple image includes I frame, P frame and B frame；
Each frame image to the multiple image carries out precoding processing, and the transformation for obtaining each frame image is absolute
Error and SATD value, comprising:
Each frame image is divided into multiple coding unit CTU；
SATD value in multiple default frames under angle prediction mode is calculated separately to each CTU of the I frame, it will be the smallest
SATD value is determined as the SATD value of current CTU；
SATD under intra mode, inter_2N*2N mode and skip mode is calculated separately to each CTU of the P frame
The smallest SATD value, is determined as the SATD value of current CTU by value；
SATD under intra mode, inter_2N*2N mode and skip mode is calculated separately to each CTU of the B frame
The smallest SATD value, is determined as the SATD value of current CTU by value；
The SATD value of all CTU of each frame image is overlapped, the SATD value of each frame image is obtained.
3. the method according to claim 1, wherein the pre-arranged code parameter includes video frame rate and coding mesh
Coding rate.
4. according to the method described in claim 2, it is characterized in that, according to the target bit rate of each GOP and the target
The SATD value of each frame image in the corresponding GOP of code rate obtains the target bit rate of each frame image in each GOP,
Include:
The SATD value for the B frame that the SATD value for the P frame for including according to current GOP, the current GOP include and preset P frame with point
The weight of layer B frame, obtains the SATD value of the current GOP；
Include according to the target bit rate of the current GOP, the SATD value of the current GOP, the weight and the current GOP
The SATD value of P frame obtains the target bit rate of the P frame；
The B frame for including according to the corresponding SATD value of the target bit rate of the target bit rate of the P frame, the P frame and the current GOP
SATD value, obtain the target bit rate of the B frame；
According to the gap length and the coding parameter between current I frame and a upper I frame, the target bit rate of the I frame is obtained.
5. the method according to claim 1, wherein the preset linear model are as follows:
QP=α SATD/R；
Wherein, QP indicates the quantization parameter of the image of the present frame；α indicates the model parameter of the linear model；SATD table
Show the SATD value of the image of the present frame；R indicates the target bit rate of the image of the present frame.
6. the method according to claim 1, wherein described adjust the quantization parameter according to preset condition
It is whole, comprising:
According to the target bit rate of preset video cache verifier and the present frame, the test value VBV of the present frame is obtained；
The VBV and preset safety zone are compared, the quantization parameter is adjusted according to comparing result, until adjusted
The corresponding VBV of quantization parameter is located in the safety zone.
7. according to the method described in claim 5, it is characterized in that, it is described according to quantization parameter adjusted to the linear mould
Type is updated, comprising:
The model parameter is updated using following formula:
α '=SATD/ (QPR)
αcurrent+ 0.8 α of=0.2 α 'last；
Wherein, αcurrentIndicate updated model parameter；αlastIndicate the model parameter before updating.
8. the method according to claim 1, wherein the method also includes:
Calculate the short-time average SATD value of the forward sequence of each frame；
The SATD value of present frame and the short-time average SATD value of the forward sequence of the present frame are compared, tied according to comparison
Fruit judges whether present frame is scene switching frame；
If so, the linear model is initialized, determine that the quantization of present frame is joined according to the linear model after initialization
Number.
9. a kind of rate control device based on hierarchical B-frame characterized by comprising
Resampling module, for obtaining raw video signal；Resampling is carried out to the raw video signal, after obtaining resampling
Vision signal；Vision signal after the resampling includes multiple image；
Precoding module carries out precoding processing for each frame image to the multiple image, obtains each frame figure
The transformation absolute error and SATD value of picture；
First computing module obtains often for the multiple image to be divided into multiple images group GOP according to pre-arranged code parameter
The target bit rate of a GOP；
Second computing module, for each in the target bit rate and the corresponding GOP of the target bit rate according to each GOP
The SATD value of frame image obtains the target bit rate of each frame image in each GOP；
Quantization parameter computing module obtains institute using preset linear model for the target bit rate according to the image of present frame
State the quantization parameter of the image of present frame；
Update module is adjusted, for being adjusted according to preset condition to the quantization parameter, according to quantization parameter adjusted
The linear model is updated, obtains the quantization parameter of next frame image using updated linear model.
10. a kind of electronic equipment, including memory, processor, it is stored with and can runs on the processor in the memory
Computer program, which is characterized in that the processor realizes the claims 1 to 8 when executing the computer program
The step of method described in one.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811653605.5A CN109862359B (en) | 2018-12-29 | 2018-12-29 | Code rate control method and device based on layered B frame and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811653605.5A CN109862359B (en) | 2018-12-29 | 2018-12-29 | Code rate control method and device based on layered B frame and electronic equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109862359A true CN109862359A (en) | 2019-06-07 |
| CN109862359B CN109862359B (en) | 2021-01-08 |
Family
ID=66893755
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811653605.5A Active CN109862359B (en) | 2018-12-29 | 2018-12-29 | Code rate control method and device based on layered B frame and electronic equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109862359B (en) |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110971900A (en) * | 2019-11-14 | 2020-04-07 | 杭州当虹科技股份有限公司 | Code rate control method suitable for 4K and 8K ultrahigh-definition motion flat video |
| CN111416978A (en) * | 2020-04-29 | 2020-07-14 | 随锐科技集团股份有限公司 | Video encoding and decoding method and system, and computer readable storage medium |
| CN111726656A (en) * | 2020-07-20 | 2020-09-29 | 有半岛(北京)信息科技有限公司 | Transcoding method, device, server and storage medium for live video |
| CN112243129A (en) * | 2020-10-15 | 2021-01-19 | 北京达佳互联信息技术有限公司 | Video data processing method and device, computer equipment and storage medium |
| CN112312231A (en) * | 2019-07-31 | 2021-02-02 | 北京金山云网络技术有限公司 | Video image coding method and device, electronic equipment and medium |
| CN112351277A (en) * | 2020-11-04 | 2021-02-09 | 北京金山云网络技术有限公司 | Video encoding method and device and video decoding method and device |
| CN112351276A (en) * | 2020-11-04 | 2021-02-09 | 北京金山云网络技术有限公司 | Video encoding method and device and video decoding method and device |
| CN112422965A (en) * | 2020-11-16 | 2021-02-26 | 深圳大学 | Video code rate control method and device, computer equipment and storage medium |
| CN112752103A (en) * | 2019-10-31 | 2021-05-04 | Oppo广东移动通信有限公司 | Method and device for controlling code rate |
| CN113301340A (en) * | 2020-09-29 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Encoding parameter determination method, video transmission method and device |
| CN113382242A (en) * | 2021-05-20 | 2021-09-10 | 北京大学深圳研究生院 | Code rate control method, device, equipment and computer readable storage medium |
| CN113473125A (en) * | 2021-06-25 | 2021-10-01 | 咪咕互动娱乐有限公司 | Code rate control method, device, storage medium and product |
| CN114554204A (en) * | 2022-01-20 | 2022-05-27 | 珠海全志科技股份有限公司 | Method and device for adjusting image quality of coded image |
| WO2023142716A1 (en) * | 2022-01-27 | 2023-08-03 | 腾讯科技（深圳）有限公司 | Encoding method and apparatus, real-time communication method and apparatus, device, and storage medium |
| WO2024183387A1 (en) * | 2023-03-07 | 2024-09-12 | 华为技术有限公司 | Image coding method and apparatus, image decoding method and apparatus, and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101325711A (en) * | 2008-07-16 | 2008-12-17 | 上海大学 | Method for controlling self-adaption code rate based on space-time shielding effect |
| US20090296808A1 (en) * | 2008-06-03 | 2009-12-03 | Microsoft Corporation | Adaptive quantization for enhancement layer video coding |
| CN101917614A (en) * | 2010-06-03 | 2010-12-15 | 北京邮电大学 | Bit rate control method based on H.264 hierarchical B-frame coding structure |
| CN102420987A (en) * | 2011-12-01 | 2012-04-18 | 上海大学 | Self-adaption bit distribution method based on code rate control of hierarchical B frame structure |
| CN102724502A (en) * | 2012-06-11 | 2012-10-10 | 华为技术有限公司 | Method and device for controlling bitrate in video coding |
| CN103957410A (en) * | 2013-12-30 | 2014-07-30 | 南京邮电大学 | I-frame code rate control method based on residual frequency domain complexity |
-
2018
- 2018-12-29 CN CN201811653605.5A patent/CN109862359B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090296808A1 (en) * | 2008-06-03 | 2009-12-03 | Microsoft Corporation | Adaptive quantization for enhancement layer video coding |
| CN101325711A (en) * | 2008-07-16 | 2008-12-17 | 上海大学 | Method for controlling self-adaption code rate based on space-time shielding effect |
| CN101917614A (en) * | 2010-06-03 | 2010-12-15 | 北京邮电大学 | Bit rate control method based on H.264 hierarchical B-frame coding structure |
| CN102420987A (en) * | 2011-12-01 | 2012-04-18 | 上海大学 | Self-adaption bit distribution method based on code rate control of hierarchical B frame structure |
| CN102724502A (en) * | 2012-06-11 | 2012-10-10 | 华为技术有限公司 | Method and device for controlling bitrate in video coding |
| CN103957410A (en) * | 2013-12-30 | 2014-07-30 | 南京邮电大学 | I-frame code rate control method based on residual frequency domain complexity |
Non-Patent Citations (2)
| Title |
|---|
| 赵振军等: "基于复杂度HEVC码率控制的算法优化", 《光电子·激光》 * |
| 赵春蕾: "高分辨率航空视频HEVC码率控制技术研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
Cited By (21)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112312231A (en) * | 2019-07-31 | 2021-02-02 | 北京金山云网络技术有限公司 | Video image coding method and device, electronic equipment and medium |
| CN112312231B (en) * | 2019-07-31 | 2022-09-02 | 北京金山云网络技术有限公司 | Video image coding method and device, electronic equipment and medium |
| CN112752103B (en) * | 2019-10-31 | 2023-01-31 | Oppo广东移动通信有限公司 | Method and device for controlling code rate |
| CN112752103A (en) * | 2019-10-31 | 2021-05-04 | Oppo广东移动通信有限公司 | Method and device for controlling code rate |
| CN110971900A (en) * | 2019-11-14 | 2020-04-07 | 杭州当虹科技股份有限公司 | Code rate control method suitable for 4K and 8K ultrahigh-definition motion flat video |
| CN111416978A (en) * | 2020-04-29 | 2020-07-14 | 随锐科技集团股份有限公司 | Video encoding and decoding method and system, and computer readable storage medium |
| CN111726656A (en) * | 2020-07-20 | 2020-09-29 | 有半岛(北京)信息科技有限公司 | Transcoding method, device, server and storage medium for live video |
| CN113301340A (en) * | 2020-09-29 | 2021-08-24 | 阿里巴巴集团控股有限公司 | Encoding parameter determination method, video transmission method and device |
| CN112243129A (en) * | 2020-10-15 | 2021-01-19 | 北京达佳互联信息技术有限公司 | Video data processing method and device, computer equipment and storage medium |
| CN112351277A (en) * | 2020-11-04 | 2021-02-09 | 北京金山云网络技术有限公司 | Video encoding method and device and video decoding method and device |
| CN112351276A (en) * | 2020-11-04 | 2021-02-09 | 北京金山云网络技术有限公司 | Video encoding method and device and video decoding method and device |
| CN112351277B (en) * | 2020-11-04 | 2024-04-05 | 北京金山云网络技术有限公司 | Video encoding method and device and video decoding method and device |
| CN112351276B (en) * | 2020-11-04 | 2024-05-31 | 北京金山云网络技术有限公司 | Video encoding method and device and video decoding method and device |
| CN112422965B (en) * | 2020-11-16 | 2022-08-30 | 深圳市嬴圳科技有限公司 | Video code rate control method and device, computer equipment and storage medium |
| CN112422965A (en) * | 2020-11-16 | 2021-02-26 | 深圳大学 | Video code rate control method and device, computer equipment and storage medium |
| CN113382242A (en) * | 2021-05-20 | 2021-09-10 | 北京大学深圳研究生院 | Code rate control method, device, equipment and computer readable storage medium |
| CN113473125A (en) * | 2021-06-25 | 2021-10-01 | 咪咕互动娱乐有限公司 | Code rate control method, device, storage medium and product |
| CN113473125B (en) * | 2021-06-25 | 2023-08-15 | 咪咕互动娱乐有限公司 | Code rate control method, equipment, storage medium and product |
| CN114554204A (en) * | 2022-01-20 | 2022-05-27 | 珠海全志科技股份有限公司 | Method and device for adjusting image quality of coded image |
| WO2023142716A1 (en) * | 2022-01-27 | 2023-08-03 | 腾讯科技（深圳）有限公司 | Encoding method and apparatus, real-time communication method and apparatus, device, and storage medium |
| WO2024183387A1 (en) * | 2023-03-07 | 2024-09-12 | 华为技术有限公司 | Image coding method and apparatus, image decoding method and apparatus, and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109862359B (en) | 2021-01-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109862359A (en) | Bit rate control method, device and electronic equipment based on hierarchical B-frame | |
| CN105187835B (en) | Adaptive video code-transferring method and device based on content | |
| US8588296B2 (en) | Bitrate control algorithm for video transcoding systems | |
| Li et al. | A convolutional neural network-based approach to rate control in HEVC intra coding | |
| CN113766226A (en) | Image encoding method, apparatus, device and storage medium | |
| CN108200431B (en) | Bit allocation method for video coding code rate control frame layer | |
| CN110199524A (en) | Noise inhibiting wave filter | |
| CN109413427A (en) | A kind of video frame coding method and terminal | |
| CN107071422B (en) | Low complex degree HEVC rate adaption transformation coding method based on image correlation model | |
| CN107371028A (en) | A kind of high-quality video coding method for adapting to bandwidth | |
| CN106028047B (en) | A method of the fast mode decision and PU of the intra prediction based on Hadamard transformation divide | |
| CN111314698A (en) | Image coding processing method and device | |
| CN104320657A (en) | Method for selecting prediction mode of HEVC lossless video coding and corresponding coding method | |
| CN109803146B (en) | Method, apparatus, medium, and device for secondary compression of video | |
| CN104902276B (en) | Converter unit partitioning method and device | |
| CN106572352B (en) | A kind of key frame sign control method and device | |
| CN103096048B (en) | A kind of scalable video quantization parameter defining method and device | |
| CN113473131A (en) | Video coding code rate dynamic adjustment method and device, electronic equipment and storage medium | |
| CN111741300A (en) | Video processing method | |
| Papadopoulos et al. | An adaptive QP offset determination method for HEVC | |
| CN112437301A (en) | Code rate control method and device for visual analysis, storage medium and terminal | |
| CN109218722B (en) | Video coding method, device and equipment | |
| CN110099274A (en) | Estimate the video quality of experience | |
| CN107820084B (en) | Video perception coding method and device | |
| Van et al. | Fast motion estimation for closed-loop HEVC transrating |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |