CN107734331A - A kind of video transcoding method based on HEVC standard - Google Patents
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Abstract
The present invention proposes a kind of video transcoding method based on HEVC standard, concretely comprises the following steps：Original video stream is decoded, extracts decoded original video stream encoded element information and predicting unit pattern information, records original video stream quantization step；Decoded video flowing is re-encoded, setting re-encodes quantizing step-length, while extracts the encoded element information of the frames of 1~N 1 after the encoded element information and coding of frame former frame to be encoded and obtain the encoded element information of current encoded frame according to the encoded element information of decoded original video stream encoded element information, frame former frame to be encoded；Final predicting unit pattern is determined according to decoded predicting unit pattern information；According to the depth information classification of the encoded element information of current encoded frame, the encoded element information partition mode of current encoded frame is determined.The computation complexity of CU patterns and PU patterns is greatly reduced in video transcoding method of the invention based on HEVC standard.
Description
Technical field
The present invention relates to video coding and decoding technology field, particularly a kind of video transcoding method based on HEVC standard.
Background technology
Current social is the highly developed society of an information exchange, compared to the forms such as traditional textual image, video
The information shown has more lively, intuitively advantage, thus is widely paid close attention to.As people will to video quality
The continuous improvement asked, it can not gradually meet to regard high definition, ultra high-definition with the second generation video encoding standard H.264 for representative
The compression requirement of frequency.In January, 2013, ISO/IEC Moving Picture Experts Group (MPEG) and ITU-T
Video Coding Experts Group (VCEG), which combine, has formulated video encoding standard HEVC (High of new generation
Efficiency Video Coding).Compared with previous generation coding standards, HEVC has shown significant advantage.Regarded
Frequently in the case of identical in quality, it is only necessary to originally 50% code check, have broad application prospects.
Estimate according to investigations, China video flow in 2018 will account for 90% or so of whole internet traffic, and mobile network
In flow accounting by more than the half of whole video flow, thus video code conversion in a mobile network will be increasingly becomed and worked as
A preceding focus.Research of the video code conversion compared to fixed network in mobile network mainly has following difference：1) movement is set
The standby limitation due to hardware and bandwidth, it is necessary to resolution ratio it is relatively low, video code conversion is mainly reflected in drop bit rate connection；2) mobile network
For network because client location changes, network fluctuation is obvious, there is higher requirement to real-time transcoding.It is different based on more than, in video
Quality occurs without be decreased obviously in the case of, realize the transcoding time it is maximum save turn into current drop code check research content it
One.
“FAST CU SIZE DECISION AND PU MODE DECISION ALGORITHM IN HEVC
Proposed in INTRACODING " (Xiwu Shang, Guozhong Wang, Tao Fan, Yan Li) text from coding unit CU
The method that two aspects of (coding unit) and predicting unit PU (prediction unit) reduce time complexity.1) CU side
Discontinuous cells D U (discontinuous unit) concept has been drawn in face, i.e., with two in adjacent left, the upper, CU of upper left three
And the different CU of depth of the above.Due to such CU accounting very littles, therefore DU can be abandoned when carrying out CU divisions in the sequence,
Even CUleft、CUup、CUleft_upIn two and the depth of the above differ 2 or 3 with the current CU depth divided, then skip and work as
Preceding CU rate distortion costs calculate.In addition the rim detection of picture frame is combined, if the edge pixel point in CU is 0, skips CU
For 64*64 calculating process.2) main research is directed to PU intra patterns in terms of PU, by RMD (rough motion
Decision after) handling, in frame the PU pattern best candidate numbers of 4*4,8*8,16*16,32*32,64*64 size be respectively 8,
8、3、3、3.Found by experiment simulation, in 4*4 and 8*8PU patterns, three minimum patterns of rate distortion costs have very general
The rate Three models optimal with upper strata PU are identical, and it is identical when, optimal PU patterns always produce from these three patterns.Therefore
In 4*4 and 8*8PU patterns, when optimal three kinds of candidate patterns are identical with upper strata, i.e., without the traversal of other patterns in 5；And
When with upper mode difference, average of the threshold value as adjacent four PU rate distortion costs is set, 8 times of traversal from excellent to bad
Lectotype, if the rate distortion costs that PU patterns be present are less than the threshold value, the pattern is optimization model.Above-mentioned algorithm from CU and
Two aspects of PU are studied, but PU patterns are limited to time complexity and taken in less intra patterns, therefore are only realized
37% time is saved.
“BLOCK STRUCTURE REUSE FOR MULTI-RATE HIGH EFFICIENCY VIDEO CODING”
Proposed in (Damien Schroeder, Patrick Rehm and Eckehard Steinbach) text a kind of by multiple
The method for reducing computation complexity with the mode of high bit-rate video stream CU Fractionation regimens.Repeatedly difference is being carried out to a certain video flowing
During code check encodes, author is found through experiments that, during QP (quantization step) becomes larger, low bit-rate video stream
Compared with original high bit-rate video stream, it is as follows to be constantly present rule：1) depth that the CU of video flowing is encoded out with larger QP has pole
Maximum probability is less than or equal to the video flowing encoded out with larger QP；2) with QP increase, less than or equal to larger QP CU depth
Probability level off to 1.On the other hand, author proposes, when repeatedly encoding same video flowing, the mistake of high bit-rate video stream can encoded
CU depth information is preserved out in journey, during the rate distortion costs of CU Fractionation regimens are calculated, it is only necessary to compare and depth is preserved than
The part that degree information is less than or equal to, the CU of larger depth calculating and comparison procedure are skipped, so as to reduce the scramble time.Pass through
Experimental verification, under conditions of BD-PSNR averagely reduces by 0.02%, the time for obtaining about 27% is saved.But the technology is only
Set about from CU, do not consider the same lengthy and jumbled PU of computation complexity model selection, therefore encoding efficiency is unsatisfactory.
The content of the invention
It is an object of the invention to provide a kind of video transcoding method based on HEVC standard.
Realize that technical solution of the invention is：A kind of video transcoding method based on HEVC standard, is concretely comprised the following steps：
Step 1, original video stream is decoded, extract decoded original video stream encoded element information CU1It is and pre-
Survey unit mode information PU1, original video stream quantization step QP1 is recorded, wherein, decoded 1~N of video flowing frames are training
Frame, for residue frame to accelerate frame, N is positive integer；
Step 2, decoded video flowing is re-encoded, setting re-encodes quantizing step-length QP2, while extracts and wait to compile
The encoded element information CU of code frame former frame2With the encoded element information CU of 1~N-1 frames after coding3QP2>QP1；
Step 3, according to decoded original video stream encoded element information CU1, frame former frame to be encoded coding unit
Information CU2Obtain the encoded element information of current encoded frame；
Step 4, according to decoded predicting unit pattern information PU1It is determined that final predicting unit pattern；
Step 5, the current encoded frame obtained according to step 3 encoded element information depth information classification, determine current
The encoded element information partition mode of coded frame.
Compared with prior art, its remarkable advantage is the present invention：1) comprehensive consideration CU and PU of the present invention coding calculates multiple
Miscellaneous degree, set about reducing the scramble time in terms of two.2) information that the present invention includes from source code flow, obtained in decoding end
Required pattern information, it is acted upon utilizing in coding side, flow is scientific and reasonable, and method should be readily appreciated that.3) present invention passes through analysis
Experimental result, two methods of CU and PU pattern point are handled.CU selects adaboost graders, is learnt by training, to current
Frame CU patterns are classified, and are eliminated lengthy and jumbled CU patterns rate distortion costs and are calculated；PU analyzes PU by experimental data
The both of which that size is largely concentrated, the computation complexity of PU patterns is greatly decreased.4) when handling CU patterns, choose and current
Two maximum CU patterns of coded frame relevance, source code flow correspond to the information of frame and current code stream former frame as adaboost
The input feature vector of grader, it ensure that the pinpoint accuracy of result.5) Video coding is combined with machine learning, selection
Adaboost graders are that one of preferable grader is showed in all machine learning methods, and while such grader has just
In realization, the advantages such as Generalization error rate is low and printenv adjusts.6) when handling PU patterns, it is classified as between intra frame at two parts
Reason, the other pattern of two species is set to determine realize that the time is saved.
Further detailed description is done to the present invention below in conjunction with the accompanying drawings.
Brief description of the drawings
The schematic diagram of Fig. 1 discontinuous units in the prior art.
Fig. 2 is the flow chart of the video transcoding method of the invention based on HEVC standard.
Fig. 3 is the structure division of encoded element information pattern of the present invention and corresponding depth schematic diagram.
Fig. 4 is the schematic diagram of predicting unit information pattern of the present invention.
Fig. 5 is adaboost graders structural representation of the present invention.
Embodiment
With reference to Fig. 1 to Fig. 5, a kind of video transcoding method based on HEVC standard, it is characterised in that concretely comprise the following steps：
Step 1, original video stream is decoded, extract decoded original video stream encoded element information CU1It is and pre-
Survey unit mode information PU1, original video stream quantization step QP1 is recorded, wherein, decoded 1~N of video flowing frames are training
Frame, for residue frame to accelerate frame, 0 ＜ N ＜ M, M is decoded video flowing totalframes；
Step 2, decoded video flowing is re-encoded, setting re-encodes quantizing step-length QP2, while extracts and wait to compile
The encoded element information CU of code frame former frame2With the encoded element information CU of 1~N-1 frames after coding3；
Step 3, according to decoded original video stream encoded element information CU1, frame former frame to be encoded coding unit
Information CU2The encoded element information of current encoded frame is obtained, specific method is：
Step 3.1, with the encoded element information of decoded original video stream 2~N frames and frame former frame to be encoded
Encoded element information CU2That is two features of the encoded element information of 1~N-1 frames as adaboost graders, after coding
1~N-1 frames encoded element information CU3For training result, adaboost graders are trained, obtain what training was completed
Adaboost graders；
Step 3.2, decoded video flowing is taken to accelerate the encoded element information in frame and frame former frame to be encoded coding single
Metamessage is two features of grader, the grader completed using training, trains and obtains the coding unit letter of current encoded frame
Breath.
The encoded element information depth information of obtained current encoded frame is 0,1,2,3 four class.
Step 4, according to decoded predicting unit pattern information PU1It is determined that final predicting unit pattern, specific to determine
Method is：
Step 4.1, setting predicting unit pattern information PU candidate lists, the candidate list include original predicting unit mould
Formula and 2N*2N predicting unit patterns；
Step 4.2, the rate distortion costs using two kinds of predicting unit pattern information PU of rate distortion function calculating, selection rate are lost
Very the small pattern of cost is specially as final PU patterns：
J=D (Motion)+λModeR(Motion)
In formula, J is rate distortion costs, and D (Motion), R (Motion) represent distortion and ratio under motor pattern respectively
Special number；λModeLagrange factor is represented, is constant.
Step 5, the current encoded frame obtained according to step 3 encoded element information depth information classification, determine current
The encoded element information partition mode of coded frame, concrete decision method are：
The encoded element information depth information of the current encoded frame obtained in step 3 is 0,1,2,3 four class, if depth information
For 0 class, then setting indicates：Split in 64*64 sizes without encoded element information, depth information is that 0 class is optimum code
Unit information depth；If depth information is 1 class, the rate distortion costs for skipping 64*64 sizes calculate, and set mark：Work as chi
It is very little when being 32*32, split without encoded element information；If depth information is 2 classes, the rate of 64*64 and 32*32 sizes is skipped
Distortion cost calculates, and sets mark：When size is 16*16, split without encoded element information；If depth information is 3
Class, the then rate distortion costs for skipping 64*64,32*32 and 16*16 size are calculated, and encoded element information is terminated without setting flag
Division.
In further embodiment, N value is 10.
So as to which the video transcoding method invention disclosed by the invention based on HEVC standard turns suitable for the video of various features
Code, including different video resolution ratio (including high-resolution, intermediate-resolution, low resolution)；Different video type of sports (including height
Speed motion, middling speed motion, low-speed motion), different video texture (including the polytype such as fine grain, rough grain) etc..
The present invention had both realized the extraction training process of data in same video sequence, while utilized the result predicted
Encoded, that is, accomplished the training of video and accelerated the integration of cataloged procedure, it is not necessary to training in advance grader, ensure that
The accuracy and real-time of transcoding result.
It is described in more detail with reference to embodiment.
Embodiment 1
A kind of video transcoding method based on HEVC standard, it is characterised in that concretely comprise the following steps：
Step 1, original video stream is decoded, extract decoded original video stream encoded element information CU1It is and pre-
Survey unit mode information PU1, original video stream quantization step QP1 is recorded, wherein, the decoded frame of video flowing 1~10 is training
Frame, residue frame are acceleration frame；CU Fractionation regimen and PU pattern of the video under present flow rate step-length QP1 are preserved in decoding process
Information.Wherein CU patterns preserving type is as follows：64*64 is designated as 0,32*32 and is designated as 1,16*16 and is designated as 2,8*8 being designated as 3.Current PU
Pattern saves as two parts, and specific preserving type is as follows：Intra prediction mode is designated as 1, and inter-frame forecast mode is designated as 0.For PU
Pattern, note 2N*2N are 0,2N*N 1, N*2N 2, N*N 3,2N*nU 4,2N*nD 5, nL*2N 6, nR*2N 7.
Step 2, decoded video flowing is re-encoded, setting re-encodes quantizing step-length QP2, while extracts and wait to compile
The encoded element information CU of code frame former frame2With the encoded element information CU of 1~9 frame after coding3；
Step 3, according to decoded original video stream encoded element information CU1, frame former frame to be encoded coding unit
Information CU2The encoded element information of current encoded frame is obtained, specific method is：
Step 3.1, with the encoded element information of the decoded frame of original video stream the 2nd~10 and frame former frame to be encoded
Encoded element information CU2That is two features of the encoded element information of 1~9 frame as adaboost graders, with 1 after coding
The encoded element information CU of~9 frames3For training result, adaboost graders are trained, obtain what training was completed
Adaboost graders；
Step 3.2, decoded video flowing is taken to accelerate the encoded element information in frame and frame former frame to be encoded coding single
Metamessage is two features of grader, the grader completed using training, trains and obtains the coding unit letter of current encoded frame
Breath.
Step 4, according to decoded predicting unit pattern information PU1It is determined that final predicting unit pattern, specific to determine
Method is：
Step 4.1, setting predicting unit pattern information PU candidate lists, the candidate list include original predicting unit mould
Formula and 2N*2N predicting unit patterns；
Step 4.2, the rate distortion costs using two kinds of predicting unit pattern information PU of rate distortion function calculating, selection rate are lost
The true small pattern of cost is specially as final PU patterns, rate distortion costs：
J=D (Motion)+λModeR(Motion)
In formula, J is rate distortion costs, and D (Motion), R (Motion) represent distortion and ratio under motor pattern respectively
Special number；λModeLagrange factor is represented, is constant.
Emulated by the video flowing sequence different to big measure feature, according to experimental data, find to turn when QP becomes big
When code is low bit-rate video stream, the PU patterns of transcoding rear video stream have maximum probability to keep prediction classification constant, while PU patterns
Chop and change is 2N*2N or keeps proterotype constant.That is the PU of some encoding block of true form rate video flowing is frame mode, is being turned
The rate distortion costs that frame mode is only carried out during code calculate；If the PU of true form rate video flowing encoding block is inter-frame mode N*2N,
The rate distortion costs that inter-frame mode is then only carried out during transcoding calculate, and only calculate 2N*2N patterns and N*2N patterns therein.
Step 5, the current encoded frame obtained according to step 3 encoded element information depth information classification, determine current
The encoded element information partition mode of coded frame, concrete decision method are：
The encoded element information depth information of the current encoded frame obtained in step 4 is 0,1,2,3 four class, if depth information
For 0 class, then setting indicates：Split in 64*64 sizes without encoded element information, depth information is that 0 class is optimum code
Unit information depth；If depth information is 1 class, the rate distortion costs for skipping 64*64 sizes calculate, and set mark：Work as chi
It is very little when being 32*32, split without encoded element information；If depth information is 2 classes, the rate of 64*64 and 32*32 sizes is skipped
Distortion cost calculates, and sets mark：When size is 16*16, split without encoded element information；If depth information is 3
Class, the then rate distortion costs for skipping 64*64,32*32 and 16*16 size are calculated, and encoded element information is terminated without setting flag
Division.
Claims (8)
1. a kind of video transcoding method based on HEVC standard, it is characterised in that concretely comprise the following steps：
Step 1, original video stream is decoded, extract decoded original video stream encoded element information CU1And predicting unit
Pattern information PU1, record original video stream quantization step QP1, wherein, decoded 1~N of video flowing frames are training frames, residue frame
To accelerate frame, 0 ＜ N ＜ M, M is decoded video flowing totalframes；
Step 2, decoded video flowing is re-encoded, setting re-encodes quantizing step-length QP2, while extract frame to be encoded
The encoded element information CU of former frame2With the encoded element information CU of 1~N-1 frames after coding3；
Step 3, according to decoded original video stream encoded element information CU1, frame former frame to be encoded encoded element information
CU2Obtain the encoded element information of current encoded frame；
Step 4, according to decoded predicting unit pattern information PU1It is determined that final predicting unit pattern；
Step 5, the current encoded frame obtained according to step 3 encoded element information depth information classification, determine present encoding
The encoded element information partition mode of frame.
2. the video transcoding method according to claim 1 based on HEVC standard, it is characterised in that according to solution in step 3
Original video stream encoded element information CU after code1, frame former frame to be encoded encoded element information CU2Obtain current encoded frame
Encoded element information, specific method is：
Step 3.1, with the encoded element information of decoded original video stream 2~N frames and the coding of frame former frame to be encoded
Unit information CU2That is two features of the encoded element information of 1~N-1 frames as adaboost graders, with 1 after coding~
The encoded element information CU of N-1 frames3For training result, adaboost graders are trained, obtain what training was completed
Adaboost graders；
Step 3.2, decoded video flowing is taken to accelerate the encoded element information in frame and frame former frame coding unit to be encoded letter
Two features for grader are ceased, the grader completed using training, training obtains the encoded element information of current encoded frame.
3. the video transcoding method according to claim 1 based on HEVC standard, it is characterised in that obtained in step 3
The encoded element information depth information of current encoded frame is 0,1,2,3 four class.
4. the video transcoding method according to claim 1 based on HEVC standard, it is characterised in that according to solution in step 4
Predicting unit pattern information PU after code1It is determined that final predicting unit pattern, specific determination method are：
Step 4.1, setting predicting unit pattern information PU candidate lists, the candidate list include original predicting unit pattern and
2N*2N predicting unit patterns；
Step 4.2, the rate distortion costs using two kinds of predicting unit pattern information PU of rate distortion function calculating, selection rate distortion generation
The small pattern of valency is as final PU patterns.
5. the video transcoding method according to claim 1 based on HEVC standard, it is characterised in that utilized in step 4.2
Rate distortion function calculates two kinds of predicting unit pattern information PU rate distortion costs, is specially：
J=D (Motion)+λModeR(Motion)
In formula, J is rate distortion costs, and D (Motion), R (Motion) represent distortion and bit number under motor pattern respectively；
λModeLagrange factor is represented, is constant.
6. the video transcoding method according to claim 1 based on HEVC standard, it is characterised in that according to step in step 5
The depth information classification of the encoded element information of rapid 3 obtained current encoded frames, determine the encoded element information of current encoded frame
Partition mode, concrete decision method are：
Judge depth information classification, if depth information is 0 class, setting mark：Believe in 64*64 sizes without coding unit
Breath segmentation, depth information is that 0 class is optimum code unit information depth；
If depth information is 1 class, the rate distortion costs for skipping 64*64 sizes calculate, and set mark：When size is 32*32
When, split without encoded element information；
If depth information is 2 classes, the rate distortion costs for skipping 64*64 and 32*32 sizes calculate, and set mark：Work as size
For 16*16 when, split without encoded element information；
If depth information is 3 classes, the rate distortion costs for skipping 64*64,32*32 and 16*16 size calculate, without setting flag
Terminate encoded element information division.
7. the video transcoding method according to claim 1 based on HEVC standard, it is characterised in that N value is 10.
8. the video transcoding method according to claim 1 based on HEVC standard, it is characterised in that QP2>QP1。
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| CN108769696A (en) * | 2018-06-06 | 2018-11-06 | 四川大学 | A kind of DVC-HEVC video transcoding methods based on Fisher discriminates |
| CN109587498A (en) * | 2018-12-25 | 2019-04-05 | 华南农业大学 | A kind of identification method by AVC transcoding HEVC video |
| CN110225339A (en) * | 2019-05-10 | 2019-09-10 | 上海德衡数据科技有限公司 | A kind of HEVC video sequence coding/decoding accelerated method |
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| US20110170608A1 (en) * | 2010-01-08 | 2011-07-14 | Xun Shi | Method and device for video transcoding using quad-tree based mode selection |
| CN104823449A (en) * | 2012-09-28 | 2015-08-05 | 高通股份有限公司 | Signaling of regions of interest and gradual decoding refresh in video coding |
| 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 |
| CN103024389A (en) * | 2012-12-24 | 2013-04-03 | 芯原微电子(北京)有限公司 | HEVC (high efficiency video coding) decoding device and method |
| CN106791864A (en) * | 2016-12-08 | 2017-05-31 | 南京理工大学 | A kind of implementation method based on raising video code conversion speed under HEVC standard |
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| CN109587498B (en) * | 2018-12-25 | 2022-07-08 | 华南农业大学 | Identification method for transcoding HEVC video by AVC |
| CN110225339A (en) * | 2019-05-10 | 2019-09-10 | 上海德衡数据科技有限公司 | A kind of HEVC video sequence coding/decoding accelerated method |
| WO2020227911A1 (en) * | 2019-05-10 | 2020-11-19 | 上海德衡数据科技有限公司 | Method for accelerating coding/decoding of hevc video sequence |
| US11212518B2 (en) * | 2019-05-10 | 2021-12-28 | Shanghai Data Center Science Co., Ltd | Method for accelerating coding and decoding of an HEVC video sequence |
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