CN109462757A - Sampling point adaptive equalization mode quick selecting method and system, terminal - Google Patents
Sampling point adaptive equalization mode quick selecting method and system, terminal Download PDFInfo
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- CN109462757A CN109462757A CN201811567266.9A CN201811567266A CN109462757A CN 109462757 A CN109462757 A CN 109462757A CN 201811567266 A CN201811567266 A CN 201811567266A CN 109462757 A CN109462757 A CN 109462757A
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- sampling point
- adaptive equalization
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/10—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
- H04N19/102—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or selection affected or controlled by the adaptive coding
- H04N19/103—Selection of coding mode or of prediction mode
Abstract
The present invention provides a kind of sampling point adaptive equalization mode quick selecting method and systems, comprising: obtains the sampling point adaptive equalization information of airspace adjacent encoder tree unit；Obtain the coding mode information of present encoding tree unit；Judge whether present encoding tree unit carries out sampling point compensation according to the coding mode information of the sampling point adaptive equalization information of the airspace adjacent encoder tree unit, the present encoding tree unit.The present invention judges whether present encoding tree unit carries out sampling point compensation using the sampling point adaptive equalization information of airspace adjacent encoder tree unit and the coding mode information of present encoding tree unit, for x265 encoder, the present invention can be realized ultra high-definition video sequence real-time coding, and performance Y-PSNR compared with original non real-time coding declines 0.04dB.
Description
Technical field
The present invention relates to technical field of video coding, and in particular, to one kind is based on video encoding standard High of new generation
Efficiency Video Coding (HEVC) encodes the excellent of parallel efficiency to practical encoder x265 on multiple-core server
Change, realizes the real-time coding of ultra high-definition video sequence.
Background technique
With the fast development of internet video business, network transmission bandwidth faces the increasing pressure, market for
The demand of the higher video encoding standard of compression efficiency is also more urgent.HEVC is the video compression standard of a new generation, is considered as
It is the successor of ITU-T H.264/MPEG-4AVC standard, compression performance is all greatly improved compared to H.264 standard, but with
This simultaneously, the video encoder based on these new standards be also faced in use computational complexity height, real-time coding
The larger problem of difficulty, so that it is universal in the application of a large amount of real-time videos to limit them.Therefore, HEVC and AVS+ mark is studied
Quasi- relevant real-time coding technology, has very strong practical significance.
As video encoding standard of new generation, HEVC (H.265) still falls within the hybrid encoding frame of prediction plus transformation.?
In various advanced algorithms used by HEVC, the flexible division of coding unit (CU), predicting unit (PU) and converter unit (TU)
It is one of most effective technology.Since the magnitude range of block is very wide, flexible subregion promotes being obviously improved and accurately for performance
Prediction.However, executing RDO process in all potential CU depth ranks, computation complexity can be greatly increased.Furthermore adaptive
Sampling point compensates in encoding and decoding loop, is located at after deblocking filtering, by the classification to reconstruction image, to every a kind of image pixel
One offset of value plus-minus, achievees the purpose that reduce distortion, to improve compression ratio, reduces code stream.HEVC/H265 is introduced very much
The optimum ideals of concurrent operation, in HEVC standard to parallel encoding support in terms of done many work, encoder uses frame level
Parallel, the tiles in frame is divided and the parallel modes such as WPP (Wavefront Parallel Processing) are compiled to improve
Code speed.
The open source encoder project that x265 is one and meets HEVC standard, and is still evolving.As x264, x265
It is equally born in open source community, its source code trustship is on bitbucket at present.X265 encoder is based on HEVC official organization and pushes away
The reference encoder device HM recommended, and the lot of advantages of x264 encoder, such as adaptive quantizing have been received, code rate control etc..
X265 is using frame level is parallel and the WPP of coding tree unit parallel accelerates to encode.The cataloged procedure of coding tree unit is divided into two
Stage.First stage is processing stage, to the carry out mode adjudging of each coding tree unit, obtains its optimal prediction mode；
Second stage is coding stage, carries out deblocking filtering, sampling point adaptive equalization and coding to all coding tree units.In analysis rank
Section is still multiple thread parallel processing, and there are two the delays of coding tree unit for adjacent encoder tree cell row.A meanwhile list
Only coding thread carries out deblocking filtering, sampling point adaptive equalization according to grating scanning mode, to the coding tree unit of present frame
And coding.
Summary of the invention
For the defects in the prior art, the object of the present invention is to provide a kind of sampling point adaptive equalization modes quickly to select
Method and system, terminal, it is possible to reduce the computation complexity of sampling point adaptive equalization model selection.
In order to achieve the above object, the invention adopts the following technical scheme:
According to the first aspect of the invention, a kind of sampling point adaptive equalization mode quick selecting method is provided, comprising:
Obtain the sampling point adaptive equalization information of airspace adjacent encoder tree unit；
Obtain the coding mode information of present encoding tree unit；
According to the sampling point adaptive equalization information of the airspace adjacent encoder tree unit and the present encoding tree unit
Coding mode information judges whether present encoding tree unit carries out sampling point compensation.
Preferably, the method is according to performed below:
S1: the sampling point adaptive equalization information of airspace adjacent encoder tree unit is obtained；
S2: present encoding tree is judged according to the sampling point adaptive equalization information of the airspace adjacent encoder tree unit acquired
Whether unit carries out sampling point adaptive equalization；
S3: if airspace adjacent encoder tree unit does not all carry out sampling point adaptive equalization, it is determined as present encoding tree unit
Sampling point adaptive equalization is not executed, and goes to S6, otherwise goes to S4；
S4: the forced coding mode of present encoding tree unit is obtained, if forced coding mode can embody smooth region
Mode is then determined as that present encoding tree unit does not execute sampling point adaptive equalization, and goes to S6, otherwise goes to S5；
S5: sampling point adaptive equalization is currently executed to present encoding tree, then goes to S6；
S6: the sampling point adaptive equalization model selection of next coding tree unit is carried out；
Preferably, in the S1, the sampling point of the adjacent and upper adjacent encoder tree unit in a left side of statistics present encoding tree unit is certainly
Adaptive compensation information.
In the above-mentioned S2 of the present invention, since adjacent coding tree unit has certain correlation, this more than body of correlation
In the level depth information of present adjacent encoder tree unit, it is also embodied between its sampling point adaptive equalization mode, so with
The sampling point adaptive equalization information of the adjacent encoder tree unit of coding carrys out advance decision and goes out whether present encoding tree unit executes sample
Point self-adapted compensation.
In the above-mentioned S4 of the present invention, the forced coding mode of present encoding tree unit is counted, if forced coding mode is can body
The mode of existing smooth region, for example size is SKIP mode, Merge mode or the 2Nx2N mode etc. of 64x64, then is judged to working as
Preceding coding tree unit does not execute sampling point adaptive equalization, and carries out the sampling point adaptive equalization mode choosing of next coding tree unit
It selects, so that present encoding tree unit can not have to enter sampling point adaptive equalization model selection loop, reduces calculation amount.
According to the second aspect of the invention, a kind of sampling point adaptive equalization mode is provided and quickly selects system, comprising:
Adaptive equalization information module, for obtaining the sampling point adaptive equalization information of airspace adjacent encoder tree unit；
Coding mode information module, for obtaining the coding mode information of present encoding tree unit；
Sampling point compensation judgment module, for according to the airspace adjacent encoder tree unit of the adaptive equalization information module
The coding mode information of the present encoding tree unit of sampling point adaptive equalization information and the coding mode information module judges
Whether present encoding tree unit carries out sampling point compensation.
Preferably, the sampling point compensation judgment module, the sampling point according to the airspace adjacent encoder tree unit of acquisition are adaptive
Compensated information judges whether present encoding tree unit carries out sampling point adaptive equalization, if airspace adjacent encoder tree unit does not all carry out
Sampling point adaptive equalization is then determined as that present encoding tree unit does not execute sampling point adaptive equalization.
Preferably, the sampling point compensation judgment module, according to the forced coding mode for obtaining present encoding tree unit, if most
Good coding mode is the mode that can embody smooth region, then is determined as that present encoding tree unit does not execute sampling point adaptive equalization,
And the sampling point adaptive equalization model selection of next coding tree unit is carried out, otherwise, sampling point is currently executed to present encoding tree
Adaptive equalization, then carry out the sampling point adaptive equalization model selection of next coding tree unit.
According to the third aspect of the invention we, a kind of terminal is provided, comprising: memory, processor and storage are on a memory
And the computer program that can be run on a processor, it is adaptive that the processor can be used for executing above-mentioned sampling point when executing described program
Answer compensation model fast selecting method.
Compared with prior art, the present invention have it is following the utility model has the advantages that
Method and system provided by the invention to whether present encoding tree unit executes sampling point adaptive equalization by carrying out
Judge in advance, be effectively reduced the computation complexity of sampling point adaptive equalization, encodes encoder on multiple-core server super
The parallel efficiency of HD video is greatly improved.
Detailed description of the invention
Upon reading the detailed description of non-limiting embodiments with reference to the following drawings, other feature of the invention,
Objects and advantages will become more apparent upon:
Fig. 1 is method flow diagram in a preferred embodiment of the invention；
Fig. 2 is system structure diagram in one embodiment of the invention.
Fig. 3 be when using different coding number of threads the method for the present invention and original method in biplate E5-2697@2.7GHz
The coding rate for encoding ultra high-definition video on CPU compares figure.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, various modifications and improvements can be made.These belong to the present invention
Protection scope.
The cataloged procedure of existing coding tree unit is divided into two stages.First stage is processing stage, to each code tree
The carry out mode adjudging of unit, obtains its optimal prediction mode；Second stage is coding stage, to all coding tree units into
Row deblocking filtering, sampling point adaptive equalization and coding.It has been investigated that since sampling point adaptive equalization computation complexity is non-super
Height causes to encode thread movement slowly, causes the thread latency of analysis phase more.Therefore, sampling point is reduced adaptively to mend
The coding rate that the computation complexity repaid encodes ultra high-definition to raising x265 on multiple-core server is most important.The present invention is based on
These researchs, using the sampling point adaptive equalization information of airspace adjacent encoder tree unit and the coding mode of present encoding tree unit
Information judges whether present encoding tree unit carries out sampling point compensation.
As shown in Figure 1, for the process of sampling point adaptive equalization mode quick selecting method in a preferred embodiment of the invention
Figure is referred to following steps execution in this embodiment:
S1: the sampling point adaptive equalization information of statistics airspace adjacent encoder tree unit；
S2: the sampling point adaptive equalization information of the airspace adjacent encoder tree unit obtained according to statistics judges present encoding tree
Whether unit carries out sampling point adaptive equalization；
S3: if airspace adjacent encoder tree unit does not all carry out sampling point adaptive equalization, it is determined as present encoding tree unit
Sampling point adaptive equalization is not executed, and goes to S6, otherwise goes to S4；
S4: the forced coding mode of statistics present encoding tree unit, if forced coding mode is the SKIP that size is 64x64
Mode is then determined as that present encoding tree unit does not execute sampling point adaptive equalization, and goes to S6, otherwise goes to S5；
S5: sampling point adaptive equalization is currently executed to present encoding tree, then goes to S6；
S6: the sampling point adaptive equalization model selection of next coding tree unit is carried out.
The above embodiment of the present invention uses the sampling point adaptive equalization information and present encoding of airspace adjacent encoder tree unit
The coding mode information of unit is set to judge whether present encoding tree unit carries out sampling point compensation.Due to adjacent coding tree unit
With certain correlation, this correlation is embodied in the level depth information of adjacent encoder tree unit, rate distortion costs incessantly
In, it is also embodied between its sampling point adaptive equalization mode, so adaptive with the sampling point of encoded adjacent encoder tree unit
Compensated information quickly rules out whether present encoding tree unit executes sampling point adaptive equalization.Therefore, the embodiment of the present invention is united
It has counted present encoding tree unit and its whether a left side, upper adjacent encoder tree unit executes sampling point adaptive equalization.As a result such as 1 institute of table
Show:
Table 1: when left and upper adjacent encoder tree unit does not execute sampling point adaptive equalization present encoding tree unit not into
The probability of row sampling point adaptive equalization
| Video sequence | Probability (%) |
| Library | 97.44 |
| Avenue | 97.89 |
| Chef | 97.31 |
| Lobster | 95.78 |
| PKDuck | 96.92 |
| Average value | 97.07 |
As known from Table 1, if not execute sampling point adaptive for the left adjacent and upper adjacent encoder tree unit of present encoding tree unit
When should compensate, probability average out to 97.07% of the present encoding tree unit without sampling point adaptive equalization.Therefore, in the present invention
It states embodiment and determines that this kind of coding tree unit executes sampling point adaptive equalization in advance.
Sampling point adaptive equalization is to reduce ringing effect, and under normal circumstances, ringing effect goes out in smooth grain region
Existing probability is lower.And in Video coding, if forced coding mode is the SKIP mode of 64x64, illustrate that the region is general
Rate is smooth region.Therefore, the embodiment of the present invention also uses forced coding mode to judge currently to compile for the SKIP mode of 64x64
Whether code tree unit executes sampling point adaptive equalization.The embodiment of the present invention has counted present encoding tree unit forced coding mode
Its probability for not executing sampling point adaptive equalization when the SKIP mode of 64x64.The results are shown in Table 2:
Table 2: it does not execute sampling point and adaptively mends when present encoding tree unit forced coding mode is the SKIP mode of 64x64
The probability repaid
| Video sequence | Probability (%) |
| Library | 95.76 |
| Avenue | 95.91 |
| Chef | 94.54 |
| Lobster | 92.04 |
| PKDuck | 94.23 |
| Average value | 94.50 |
As seen from table, coding tree unit does not execute the probability average out to 94.5% of sampling point adaptive equalization.Therefore, therefore,
The present invention determines that this kind of coding tree unit executes sampling point adaptive equalization in advance, so that the calculating for reducing sampling point adaptive equalization is multiple
Miscellaneous degree.
Referring to shown in Fig. 2, the structural frames of system are quickly selected for sampling point adaptive equalization mode in one embodiment of the invention
Figure, including: adaptive equalization information module, the sampling point adaptive equalization for obtaining airspace adjacent encoder tree unit are believed
Breath；Coding mode information module, for obtaining the coding mode information of present encoding tree unit；Sampling point compensation judgment module is used
In sampling point adaptive equalization information and the volume according to the airspace adjacent encoder tree unit of the adaptive equalization information module
The coding mode information of the present encoding tree unit of pattern information module judges whether present encoding tree unit carries out sampling point
Compensation.
Specifically, the sampling point compensation judgment module, the sampling point according to the airspace adjacent encoder tree unit of acquisition is adaptive
Compensated information judges whether present encoding tree unit carries out sampling point adaptive equalization, if airspace adjacent encoder tree unit does not all carry out
Sampling point adaptive equalization is then determined as that present encoding tree unit does not execute sampling point adaptive equalization.Meanwhile the sampling point compensation is sentenced
Disconnected module, according to the forced coding mode for obtaining present encoding tree unit, if forced coding mode is the SKIP that size is 64x64
Mode is then determined as that present encoding tree unit does not execute sampling point adaptive equalization, and carries out the sampling point of next coding tree unit
Otherwise adaptive equalization model selection currently executes sampling point adaptive equalization to present encoding tree, then carry out next code tree
The sampling point adaptive equalization model selection of unit.Certainly, the SKIP mode of bulk best embodies smooth region in the encoder,
In other embodiments, the Merge mode and 2Nx2N mode of 64x64 can also embody smooth region to a certain extent, therefore be applicable in
In the method for the present invention.
Further, based on above-mentioned method and system, the embodiment of the present invention also provides a kind of terminal, comprising: memory,
Processor and storage on a memory and the computer program that can run on a processor, when the processor execution described program
It can be used for executing above-mentioned sampling point adaptive equalization mode quick selecting method.
Method and system in the above embodiment of the present invention in specific application, first can analyze x265 using performance software
Encoder encodes the low reason of ultra high-definition video parallel efficiency on 24 core servers, then calculates for sampling point adaptive equalization
Complexity is excessively high to carry out specific Optimization Work, on the premise of ensuring performance the sampling point adaptive equalization above-mentioned using the present invention
Mode fast method reaches the promotion of parallel efficiency, and this method uses the sampling point adaptive equalization of airspace adjacent encoder tree unit
The coding mode information of information and present encoding tree unit judges whether present encoding tree unit carries out sampling point compensation.For
X265 encoder, the above method of the present invention and system can be realized ultra high-definition video sequence real-time coding, performance and original non-reality
When coding compared to Y-PSNR decline 0.04dB.
In the test of one concrete application, as shown in figure 3, for original method (existing method), when setting coding Thread Count is
Before 10, increasing coding number of threads can make coding rate linearly increasing, arrived after about 12 coding rate no longer with
Increasing for Thread Count and accelerate, but a total of 24 physical cores of biplate E5-2697@2.7GHz CPU, in other words encoder
Do not effectively utilize computing resource.But after the method for the present invention optimizes, the degree of parallelism of encoder is effectively improved, when
When encoding Thread Count less than 24, coding rate increases with the increase of coding Thread Count, after reaching 24 physics nucleus numbers,
Coding rate no longer increases with the increase of coding Thread Count.Therefore, the method for the present invention can be greatly decreased sampling point and adaptively mend
The computation complexity repaid, to greatly improve the parallel efficiency that x265 encodes ultra high-definition video on 24 core servers.
It should be noted that the step in the sampling point adaptive equalization mode quick selecting method provided by the invention,
Can use the sampling point adaptive equalization mode, quickly corresponding module, device, unit etc. are achieved in selection system, this
The technical solution that field technical staff is referred to the system realizes the step process of the method, that is, in the system
Embodiment can be regarded as realizing the preference of the method, and it will not be described here.
One skilled in the art will appreciate that in addition to realizing system provided by the invention in a manner of pure computer readable program code
And its other than each device, completely can by by method and step carry out programming in logic come so that system provided by the invention and its
Each device is in the form of logic gate, switch, specific integrated circuit, programmable logic controller (PLC) and embedded microcontroller etc.
To realize identical function.So system provided by the invention and its every device are considered a kind of hardware component, and it is right
The device for realizing various functions for including in it can also be considered as the structure in hardware component；It can also will be for realizing each
The device of kind function is considered as either the software module of implementation method can be the structure in hardware component again.
Disclosed herein is merely a preferred embodiment of the present invention, these embodiments are chosen and specifically described to this specification, is
Principle and practical application in order to better explain the present invention is not limitation of the invention.Anyone skilled in the art
The modifications and variations done within the scope of specification should all be fallen in the range of of the invention protect.
Claims (9)
1. a kind of sampling point adaptive equalization mode quick selecting method characterized by comprising
Obtain the sampling point adaptive equalization information of airspace adjacent encoder tree unit；
Obtain the coding mode information of present encoding tree unit；
According to the sampling point adaptive equalization information of the airspace adjacent encoder tree unit, the coding mould of the present encoding tree unit
Formula information judges whether present encoding tree unit carries out sampling point compensation.
2. sampling point adaptive equalization mode quick selecting method according to claim 1, which is characterized in that held according to following
Row:
S1: the sampling point adaptive equalization information of airspace adjacent encoder tree unit is obtained；
S2: whether present encoding tree unit is judged according to the sampling point adaptive equalization information of the airspace adjacent encoder tree unit of acquisition
Carry out sampling point adaptive equalization；
S3: if airspace adjacent encoder tree unit does not all carry out sampling point adaptive equalization, it is determined as that present encoding tree unit is not held
Row sampling point adaptive equalization, and S6 is gone to, otherwise go to S4；
S4: obtaining the forced coding mode of present encoding tree unit, if forced coding mode is that can embody the mode of smooth region,
Then it is determined as that present encoding tree unit does not execute sampling point adaptive equalization, and goes to S6, otherwise goes to S5；
S5: sampling point adaptive equalization is currently executed to present encoding tree, then goes to S6；
S6: the sampling point adaptive equalization model selection of next coding tree unit is carried out.
3. a kind of sampling point adaptive equalization mode quick selecting method according to claim 1 or 2, which is characterized in that institute
State the sampling point adaptive equalization information for obtaining airspace adjacent encoder tree unit, refer to: a left side for statistics present encoding tree unit is adjacent
With the sampling point adaptive equalization information of upper adjacent encoder tree unit.
4. a kind of sampling point adaptive equalization mode quick selecting method according to claim 1 or 2, which is characterized in that institute
State the mode that can embody smooth region, refer to: size is SKIP mode, Merge mode or the 2Nx2N mode of 64x64.
5. a kind of sampling point adaptive equalization mode quickly selects system characterized by comprising
Adaptive equalization information module, for obtaining the sampling point adaptive equalization information of airspace adjacent encoder tree unit；
Coding mode information module, for obtaining the coding mode information of present encoding tree unit；
Sampling point compensation judgment module, for the sampling point according to the airspace adjacent encoder tree unit of the adaptive equalization information module
The coding mode information of the present encoding tree unit of adaptive equalization information and the coding mode information module is current to judge
Whether coding tree unit carries out sampling point compensation.
6. sampling point adaptive equalization mode according to claim 5 quickly selects system, which is characterized in that the sampling point is mended
Judgment module is repaid, present encoding tree unit is judged according to the sampling point adaptive equalization information of the airspace adjacent encoder tree unit of acquisition
Whether sampling point adaptive equalization is carried out, if airspace adjacent encoder tree unit does not all carry out sampling point adaptive equalization, is judged to working as
Preceding coding tree unit does not execute sampling point adaptive equalization.
7. sampling point adaptive equalization mode according to claim 5 or 6 quickly selects system, which is characterized in that the sample
Point compensation judgment module, according to the forced coding mode for obtaining present encoding tree unit, if forced coding mode is to embody to put down
The mode in skating area domain is then determined as that present encoding tree unit does not execute sampling point adaptive equalization, and it is single to carry out next code tree
Otherwise the sampling point adaptive equalization model selection of member currently executes sampling point adaptive equalization to present encoding tree, then carry out next
The sampling point adaptive equalization model selection of a coding tree unit.
8. a kind of sampling point adaptive equalization mode according to claim 7 quickly selects system, which is characterized in that the energy
The mode for embodying smooth region, refers to: size is SKIP mode, Merge mode or the 2Nx2N mode of 64x64.
9. a kind of terminal, comprising: memory, processor and storage are on a memory and the computer journey that can run on a processor
Sequence, which is characterized in that the processor can be used for perform claim and require 1-4 any method when executing described program.
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| US20150117528A1 (en) * | 2013-10-24 | 2015-04-30 | Sung-jei Kim | Video encoding device and driving method thereof |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150117528A1 (en) * | 2013-10-24 | 2015-04-30 | Sung-jei Kim | Video encoding device and driving method thereof |
| CN105979262A (en) * | 2016-05-06 | 2016-09-28 | 西安电子科技大学 | Time relevance and in-frame predication direction based SAO optimization method of HEVC |
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Application publication date: 20190312 |