CN105681808B - A kind of high-speed decision method of SCC interframe encodes unit mode - Google Patents
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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
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/503—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
- H04N19/51—Motion estimation or motion compensation
- H04N19/513—Processing of motion vectors
- H04N19/517—Processing of motion vectors by encoding
- H04N19/52—Processing of motion vectors by encoding by predictive encoding
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- H—ELECTRICITY
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- 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
- H04N19/109—Selection of coding mode or of prediction mode among a plurality of temporal predictive coding modes
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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
- H04N19/11—Selection of coding mode or of prediction mode among a plurality of spatial predictive coding modes
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- H—ELECTRICITY
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- 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
- H04N19/134—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the element, parameter or criterion affecting or controlling the adaptive coding
- H04N19/146—Data rate or code amount at the encoder output
- H04N19/147—Data rate or code amount at the encoder output according to rate distortion criteria
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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
- H04N19/169—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding
- H04N19/17—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object
- H04N19/176—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding characterised by the coding unit, i.e. the structural portion or semantic portion of the video signal being the object or the subject of the adaptive coding the unit being an image region, e.g. an object the region being a block, e.g. a macroblock
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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
- H04N19/70—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals characterised by syntax aspects related to video coding, e.g. related to compression standards
Abstract
A kind of high-speed decision method of SCC interframe encodes unit mode.Present invention utilizes the information of SCC coding unit Hash interframe search patterns and the Space Consistency of coding unit, coding unit pattern distribution to different depth carries out statistical analysis, and takes different prediction mode reduction predictive mode scopes to ensure the accuracy rate of prediction.In different depth, using the result and adjacent C U information of the interframe search based on Hash, coding unit predictive mode candidate's scope is reduced, so as to avoid the pattern search process being not necessarily to.For the coding unit that depth is 0, predict whether to skip Inter2Nx2N, Skip, interframe segmentation predictive mode and intra prediction mode pattern；For the coding unit that depth is 1, predict whether to skip Inter2Nx2N, interframe segmentation predictive mode and intra prediction mode.This method can efficiently reduce the pattern search scope of coding unit, so as to effectively reduce the complexity of SCC interframe encodes.
Description
Technical field
(Screen Content Coding, SCC) field, more particularly to SCC interframe is encoded the present invention relates to screen content
The decision-making technic of coding unit pattern in coding.
Background technology
As the application such as video conference, long- distance tabletop control is more and more extensive, people are for as animation, with text chart
The screen video such as image demand it is increasing, be currently based on HEVC (High Efficiency Video Coding) video
The SCC of compression and coding standard standard is still in improving, and SCC has continued to use the volume for the quad-tree structure that HEVC coding standards are used
Code dividing elements mode, the size of coding unit (Coding Unit, CU) is 64x64,32x32,16x16 and 8x8, right respectively
The depth level for answering CU is 0,1,2,3.Wherein depth is designated as LCU (Largest Coding Unit) for 0 CU, and depth is 3
CU is designated as SCU (Smallest Coding Unit).The characteristics of being different from natural video frequency in view of screen video sequence, SCC is
Raising code efficiency, with the addition of pallet mode (Palette Mode), intra block multiple on the basis of original technology is continued to use
Make (Intra Block Copy, IntraBC), adaptive color conversion, the interframe search based on Hash, adaptive motion vector
The technologies such as resolution ratio decision, referring specifically to document 1 (JCTVC-U1014, R.Joshi, S.Liu, J.Xu, Y.Ye, " Screen
content coding test model 5,"Warsaw,Poland,June 2015.)。
Interframe search based on Hash can effectively lift SCC encoder efficiencies, referring specifically to document 2 (Li B, Xu
J,Wu F.A unified framework of hash-based matching for screen content coding
[C]//Visual Communications and Image Processing Conference,2014IEEE.IEEE,
2014:530-533.), but the introducings of other coding modes adds the complexity of encoder, thus SCC encoders still have compared with
High complexity, it would be highly desirable to further optimization.Current complexity of the researcher to SCC intraframe codings is optimized, and
Good effect is achieved, such as document 3 determines SCC intraframe codings CU size (Saurty using mean pixel cost in advance
K,Catherine P C,Soyjaudah K M.Early CU size determination in HEVC intra
prediction using Average Pixel Cost[C]//Digital Information and Communication
Technology and it's Applications(DICTAP),2014Fourth International Conference
on.IEEE,2014:247-252.).It is single that document 4 then proposes a kind of quick intraframe coding tree based on entropy and number of coded bits
First depth decision making algorithm (Zhang M, Guo Y, Bai H.Fast intra partition algorithm for HEVC
screen content coding[C]//Visual Communications and Image Processing
Conference,2014IEEE.IEEE,2014:390-393.)。
The content of the invention
It is an object of the invention to provide a kind of high-speed decision method of SCC interframe CU patterns.
It is complexity optimized that less research at present is related to SCC interframe encodes, and the present invention is exactly directed to SCC inter mode decisions
Process is optimized, and specifically enters row mode reduction to depth for 0,1 CU and predicting unit (Prediction Unit, PU), from
And reduce the unnecessary computation complexity that CU is brought in mode selection processes.
Technical solution of the present invention, can be summarized as：It make use of the information and coding of SCC coding unit Hash interframe search patterns
The Space Consistency of unit, the coding unit pattern distribution to different depth carries out statistical analysis, and takes different prediction modes
Reduce predictive mode scope to ensure the accuracy rate of prediction.In different depth, using the result of the interframe search based on Hash with
And adjacent C U information, coding unit predictive mode candidate's scope is reduced, so as to avoid the pattern search process being not necessarily to.It is right
In the coding unit that depth is 0, predict whether to skip Inter2Nx2N, Skip, interframe segmentation predictive mode (including
Inter2NxN, InterNx2N, Inter2NxnU, Inter2NxnD, InternRx2N, InternLx2N pattern) and frame in
Predictive mode (including IntraBC, Intra, IntraCSC, IntraBCMerge, Palette pattern)；For the volume that depth is 1
Code unit, predicts whether to skip Inter2Nx2N, interframe segmentation predictive mode and intra prediction mode.This method can be effective
Ground reduces the pattern search scope of coding unit, so as to effectively reduce the complexity of SCC interframe encodes.
Technical solution of the present invention, a kind of high-speed decision method of SCC interframe CU patterns, it is characterised in that including following step
Suddenly：
For the CU that depth is 2 and 3, scanned for according to SCM5.4 normal process；For the CU of depth 0 and depth 1, obtain
To the matching result using the interframe searching algorithm based on Hash, if the match is successful, rate-distortion optimization (Rate is utilized
Distortion Optimization, RDO) detect other patterns；If it fails to match, current CU adjacent C U depth is obtained
Degree, and be LeftCU by left side CU sounding markDepth, top CU sounding mark is AboveCUDepth。
A) for the CU that depth is 0, matched first by the interframe searching algorithm based on Hash, if matched into
Work(, then detect Skip patterns, and determines optimization model with RDO criterions, then terminates current LCU coding；If it fails to match,
Then obtain adjacent C U depth value LeftCUDepthAnd AboveCUDepth, the comparative result of adjacent C U depth is designated as Flag0, and
Flag is calculated according to formula (1)0.If meeting Flag0For 1, then the prediction of other patterns of current layer is skipped, and it is true with RDO criterions
Determine optimization model, then the CU of next layer of direct coding；Otherwise other patterns are detected, and optimization model is determined with RDO criterions, so
Next layer of CU is encoded afterwards.
B) for the CU that depth is 1, matched first by the interframe searching algorithm based on Hash, if matched into
Work(, then detect other patterns；If it fails to match, adjacent C U depth LeftCU is obtainedDepthAnd AboveCUDepth, will be adjacent
The comparative result of CU depth is designated as Flag1, and judge Flag according to formula (2)1If meeting Flag1For 1, then Skip is only carried out
Model prediction, then skips the prediction of other patterns of current layer, and determines with RDO criterions optimization model, the next layer of direct coding
CU；Otherwise other patterns are detected, and optimization model is determined with RDO criterions, next layer of CU is then encoded.
C) for the CU that depth is 2,3, all patterns are detected, and optimization model is determined with RDO criterions, if CU depth
For 2, then next layer of CU is encoded.
D) recursive mode is used, optimization model and optimal depth is selected, then terminates current LCU coding, is encoded next
Individual LCU.
Using such scheme, the beneficial effects of the invention are as follows：
1. the present invention first with CU the information and CU Space Consistencies based on Hash interframe search patterns the characteristics of,
CU patterns to different depth carry out statistical analysis, and take different prediction modes to reduce predictive mode scope, and ensure pre-
The accuracy of survey.
2. the present invention has considered the characteristic of SCC video sequences, it can effectively reduce prediction CU candidate pattern, from
And SCC interframe encode efficiency can be significantly improved in the case of hardly loss coding quality.
Brief description of the drawings
When Fig. 1 is that CU current depths are 0 and 1 under different Q P, SCM5.4 is matched not using the interframe search based on Hash
During success, CU continues the percentage divided downwards.
When Fig. 2 is that CU current depths are 0 and 1 under different Q P, the correct percentage of model prediction of the present invention is used.
Fig. 3 is the stream of SCC inter mode decisions when CU depth is 0 and 1 formulated based on Hash interframe search results
Cheng Tu.
Fig. 4 is the experimental result of the present invention.
Embodiment
The present invention has been counted in SCC reference softwares platform (SCM5.4) first, different quantization parameter (Quantization
Parameter, QP) under multiple sequences when CU depth is 0 and 1, use the unsuccessful institute of interframe search matching based on Hash
Have in CU, the CU proportions divided downwards, specific statistical result is referring to Fig. 1.Statistical result showed averagely about 8 percent
Ten block is divided downwards when matching unsuccessful using the interframe search based on Hash, meanwhile, the present invention uses CU simultaneously
Adjacent C U depth informations improve predictive mode accuracy rate.Summary information, the present invention utilizes the space of SCC video sequences
The characteristics of uniformity and the interframe search matching result based on Hash, the predictive mode model that further reduction CU depth is 0 and 1
Enclose.To reach above-mentioned purpose, solution of the invention is, the matching result searched for according to the interframe based on Hash and adjacent
CU (the CU left sides that are currently encoding and CU) above depth information determines reduction scope, simultaneously as CU predictive mode
There are different candidate's scopes in different depth, so the present invention devises different schemes for different depth.It is 0 i.e. for depth
CU, if based on Hash interframe searching algorithm without the match is successful, and adjacent C U depth at least one be more than 0, then
Skip Inter2Nx2N, Skip, interframe segmentation predictive mode and intra prediction mode；For depth be 1 block, if based on
Hash interframe searching algorithm is no, and the match is successful, and adjacent C U depth is simultaneously greater than 1, then detect Skip patterns, skip
Inter2Nx2N, interframe segmentation predictive mode and frame in mould prediction type.It is 0 and 1 that Fig. 2, which show the CU current depths under different Q P,
When, use the correct percentage of model prediction of the present invention.
Below in conjunction with flow chart shown in accompanying drawing 3, the present invention is further illustrated.
Step 1：Based on the test platform SCM5.4 that SCC is general, for a coding unit, Hash matching is carried out first
Search, then judges its depth.If CU depth is 0,2 are gone to step.If CU depth is 1,3 are gone to step.If CU's
Depth is 2 or 3, goes to step 4.
Step 2：For the CU that depth is 0, the matching result searched for based on Hash interframe is judged first, if
With success, then Skip patterns are only detected, and optimization model is determined with RDO criterions, go to step 6.If without the match is successful, obtained
Take the adjacent CU of current CU depth AboveCUDepthAnd LeftCUDepth, Flag is calculated using formula (1)0If, Flag0For
1, then the search of other all patterns of current layer is skipped, and optimization model is determined with RDO criterions, then go to step 5.If
Flag0For 0, other patterns are detected according to SCM5.4 normal process, and optimization model is determined with RDO criterions, 5 are then gone to step.
Step 3：For the CU that depth is 1, the matching result searched for based on Hash interframe is judged first, if
With success, other patterns are detected according to SCM5.4 normal process, and optimization model is determined with RDO criterions, 5 are gone to step；Otherwise, obtain
Take current CU adjacent C U depth AboveCUDepthAnd LeftCUDepth, Flag is calculated using formula (2)1If, Flag1For
1, then Skip patterns are only detected, and optimization model is determined with RDO criterions, 5 are gone to step, if Flag1For 0, marked according to SCM5.4
Quasi- flow detects other patterns, and determines optimization model with RDO criterions, then goes to step 5.
Step 4：For the CU that depth is 2 and 3, other patterns are detected according to SCM5.4 normal process, and it is true with RDO criterions
Determine optimization model, if CU depth is 2, go to step 5；If CU depth is 3,6 are gone to step.
Step 5：Encode next layer of CU.
Step 6：Optimal depth and optimization model, current LCU end-of-encodes are chosen with recursive mode.
Claims (1)
1. a kind of high-speed decision method of SCC interframe CU patterns, it is characterised in that comprise the following steps：
For the CU that depth is 2 and 3, scanned for according to SCM5.4 normal process；For the CU of depth 0 and depth 1, made
With the matching result of the interframe search pattern algorithm based on Hash, if the match is successful, then further examined for 0 CU for depth
Skip patterns are surveyed, and optimal mould is determined using rate-distortion optimization (Rate Distortion Optimization, RDO) criterion
Formula；For depth for 1 CU according to SCM5.4 normal process detect Inter2Nx2N, Skip, interframe split predictive mode and
Intra prediction mode, and determine optimization model with RDO criterions；
If it fails to match, current CU adjacent C U depth is obtained, and is LeftCU by left side CU sounding markDepth, on
Side CU sounding mark is AboveCUDepth；
A) for the CU that depth is 0, matched first by the interframe searching algorithm based on Hash, if the match is successful,
Skip patterns are detected, and optimization model is determined with RDO criterions, then terminate current LCU coding；If it fails to match, obtain
Take adjacent C U depth value LeftCUDepthAnd AboveCUDepth, the comparative result of adjacent C U depth is designated as Flag0, and according to
Formula (1) calculates Flag0；If meeting Flag0For 1, then the prediction of other patterns of current layer is skipped, and determined most with RDO criterions
The CU of excellent pattern, then next layer of direct coding；Otherwise Inter2Nx2N, Skip, interframe are detected according to SCM5.4 normal process
Split predictive mode and intra prediction mode, and optimization model is determined with RDO criterions, then encode next layer of CU；
B) for the CU that depth is 1, matched first by the interframe searching algorithm based on Hash, if the match is successful,
According to SCM5.4 normal process detection Inter2Nx2N, Skip, interframe segmentation predictive mode and intra prediction mode, it is used in combination
RDO criterions determine optimization model；If it fails to match, adjacent C U depth LeftCU is obtainedDepthAnd AboveCUDepth, by phase
The comparative result of adjacent CU depth is designated as Flag1, and judge Flag according to formula (2)1If meeting Flag1For 1, then only carry out
Skip model predictions, then skip the prediction of other patterns of current layer, and determined under optimization model, direct coding with RDO criterions
One layer of CU；Otherwise detect that Inter2Nx2N, Skip, interframe split predictive mode and frame in is pre- according to SCM5.4 normal process
Survey pattern, and optimization model is determined with RDO criterions, then encode next layer of CU；
C) for the CU that depth is 2,3, all patterns are detected, and optimization model is determined with RDO criterions, if CU depth is 2,
Then encode next layer of CU；
D) recursive mode is used, optimization model and optimal depth is selected, then terminates current LCU coding, is encoded next
LCU。
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| CN107396112B (en) * | 2017-08-01 | 2021-03-09 | 深信服科技股份有限公司 | Encoding method and device, computer device and readable storage medium |
| CN107623850B (en) * | 2017-09-26 | 2019-11-22 | 杭州电子科技大学 | A kind of quick screen contents encoding method based on temporal correlation |
| WO2019113903A1 (en) * | 2017-12-14 | 2019-06-20 | 北京金山云网络技术有限公司 | Coding unit division decision method and device, encoder, and storage medium |
| CN109151467B (en) * | 2018-09-10 | 2021-07-13 | 重庆邮电大学 | Screen content coding inter-frame mode rapid selection method based on image block activity |
| CN111246220B (en) * | 2020-01-20 | 2021-10-15 | 中南大学 | Depth prediction method and device based on VVC intra-frame coding and storage medium |
| CN113079373A (en) * | 2021-04-01 | 2021-07-06 | 北京允博瑞捷信息科技有限公司 | Video coding method based on HEVC-SCC |
| CN113613018A (en) * | 2021-08-18 | 2021-11-05 | 广州佰锐网络科技有限公司 | Method and system for reducing candidate prediction modes of SCC (content control channel) intra-frame coding unit |
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| CN102984521A (en) * | 2012-12-12 | 2013-03-20 | 四川大学 | High-efficiency video coding inter-frame mode judging method based on temporal relativity |
| CN103702122A (en) * | 2013-12-18 | 2014-04-02 | 华为技术有限公司 | Coding mode selection method, device and coder |
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| US7206346B2 (en) * | 1997-06-25 | 2007-04-17 | Nippon Telegraph And Telephone Corporation | Motion vector predictive encoding method, motion vector decoding method, predictive encoding apparatus and decoding apparatus, and storage media storing motion vector predictive encoding and decoding programs |
| JP4534935B2 (en) * | 2005-10-04 | 2010-09-01 | 株式会社日立製作所 | Transcoder, recording apparatus, and transcoding method |
| CN103024395B (en) * | 2012-12-31 | 2015-08-12 | 清华大学 | Multiple view video coding mode selecting method and device |
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| CN105491390B (en) * | 2015-11-30 | 2018-09-11 | 哈尔滨工业大学 | Intra-frame prediction method in hybrid video coding standard |
| CN105430407B (en) * | 2015-12-03 | 2018-06-05 | 同济大学 | Applied to the fast inter mode decision method for H.264 arriving HEVC transcodings |
| CN105721865A (en) * | 2016-02-01 | 2016-06-29 | 同济大学 | Fast decision algorithm for dividing HEVC inter-frame coding unit |
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