CN106101699B - For the depth modelling mode adjudging method of 3D-HEVC depth map encoding - Google Patents
For the depth modelling mode adjudging method of 3D-HEVC depth map encoding Download PDFInfo
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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
- H04N19/102—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
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Abstract
The invention discloses a kind of depth modelling mode adjudging methods for 3D-HEVC depth map encoding, classification is carried out to depth map macro block and skips judgement, whether terminated in advance according to predicting unit size discrimination outline mode, the rate-distortion optimization for carrying out depth modelling mode obtains optimal depth modelling mode, the steps include: the depth modelling mode decision process for starting depth map macro block；It is near field, middle region and far region current depth block sort；Unnecessary depth block is carried out to skip；The termination in advance of outline mode is carried out according to the size of current prediction unit；Carry out the rate-distortion optimization process of depth modelling mode decision；Determine that the optimal depth of depth map models mode.It is skipped present invention employs the classification of block and the termination in advance of outline mode, coding efficiency is preferable, and code rate only slightly goes up, and Y-PSNR reduces negligible, than the scramble time that original 3D-HEVC coding method has averagely saved 31.33%, real-time coding can be applied to.
Description
Technical field
The invention belongs to the technical fields of Video coding, and in particular to be intraframe coding in a kind of Video coding depth
Model mode adjudging method, especially a kind of depth towards depth map encoding in high efficiency video encoding standard 3D Video Expansion
Model mode adjudging method.
Background technique
In recent years, universal with HD video and various network videos, video compression technology has welcome no small
Challenge.The video of Motion Picture Experts Group (Motion Picture the Experts Group, MPEG) and ITU-T of ISO/IEC
Coding Experts group (Video Coding Expert Group, VCEG) forms Video coding joint group (Joint
Collaborative Team on Video Coding, JCT-VC), and combine and formulated high efficiency video encoding standard
H.265/HEVC(High Efficiency Video Coding).Video encoding standard of new generation H.265/HEVC in increase
Many new encoding tools, with previous generation video encoding standard H.264/AVC compared with, coding efficiency H.265/HEVC has greatly
The promotion of amplitude.Moreover, extension 3D-HEVC (the high efficiency video based on high efficiency video encoding standard
Coding based 3D video coding) also at research hotspot in recent years, 3D-HEVC can be realized three-dimensional and more views
The imaging of point, it synthesizes virtual view using texture video plus depth format, to reduce a large amount of encoder bit rate.And it is deep
The preservation for spending figure is most important to the virtual view texture video of synthesis high quality, therefore, some new depth map encoding tools
It is introduced into 3D-HEVC, such as depth modelling mode (DMM) decision.However, numerous DMM candidate patterns results in huge meter
Calculation amount, this also counteracts application of the 3D-HEVC in reality.
Currently, such as: Ding H et al. is proposed for depth map encoding in 3D-HEVC there are many mature technology
The perception spirit based on people in discernable depth difference Modeling Theory to depth is utilized in a kind of effective depth map encoding algorithm
Sensitivity feature skips some unnecessary depth blocks.It is empty that Zhang H B et al. proposes a kind of reference pixel based on content
Between classification method fast deep figure intra mode decision algorithm.But although calculating that these technologies reduce DMM decision is multiple
Miscellaneous degree, but code efficiency is still lower, so the coding efficiency of its depth map prediction does not improve.Therefore, how in depth map
Effectively accelerate DMM decision-making technique process in coding, realizes that outstanding code efficiency is the difficulty that current video coding technique faces
One of topic.
Depth modelling mode (DMM) decision in depth map encoding, is in order in compression depth image for its essence
Better Protect edge information part while flat site.Either conventional video encoding and decoding frame-HEVC or 3D video is compiled
Frame -3D-HEVC coding framework is decoded, their prediction process all refers to block and divides (block partitioning) technology,
An image block is divided into more than one region (partition), is then predicted as unit of the region again.
And block division mode traditional in HEVC is that a rectangular image block is divided into two or four square along the horizontal or vertical direction
Shape region (rectangular partition).And DMM mode introduces a kind of novel block division mode, i.e., according to specific
Information one depth image block is divided into two non-rectangle regions (non-rectangular partition), it is same
Pixel in region indicates that different regional values is encoded separately, and then preferably retains depth image with identical constant value
Marginal portion.But the model selection of DMM decision needs to be traversed for all candidate patterns, and which results in huge calculation amount, meters
Evaluation time is longer, this just has to consume a large amount of scramble time, is unfavorable for carrying out real-time coding.Complexity is calculated in this way
It spends higher, it is difficult to be applied in real time.
Summary of the invention
In view of the above problem and shortage of the existing technology, the purpose of the present invention is to provide one kind to be directed to 3D-HEVC
The depth modelling mode adjudging method of depth map encoding is not only protected compared with Raw encoder and newest SRPS coding mode
Almost the same code efficiency is held, moreover it is possible to the scramble time be effectively reduced.
In order to achieve the above object, the technical scheme is that a kind of depth for 3D-HEVC depth map encoding is built
Mould mode adjudging method carries out classification to depth block first and skips judgement, then according to predicting unit size discrimination outline mode
Whether terminate in advance, the rate-distortion optimization for finally carrying out depth modelling mode obtains optimal depth modelling mode, specific to walk
Suddenly it is:
(1), start the depth modelling mode decision process of depth map macro block；
(2), according to the threshold value of determining near field and far region, current depth block sort be near field, middle region and
Far region；
(3), it carries out unnecessary depth block to skip: if depth block belongs near field or middle region, entering step (4)；It is no
Then, the depth block depth modelling mode skipping rate-distortion optimization process in far region, enters step (6)；
(4), the termination in advance of outline mode is carried out according to the size of current prediction unit: if current predicting unit ruler
Very little smaller than 32 × 32, outline mode is terminated in advance, and enters step (5)；
(5), the rate-distortion optimization process of depth modelling mode decision is carried out；
(6), determine that the optimal depth of depth map models mode, enter step (1) and continue next depth block judgement.
It is the method that current depth block sort is near field, middle region and far region in the step (2):
(2-1), the threshold value D that near field is determined according to following equationnWith the threshold value D of far regionfValue:
Wherein, DmaxAnd DminRespectively indicate the minimum and maximum depth map value of present image；
(2-2), depth block is divided into three regions, expression formula by comparing depth map value are as follows:
Wherein, DblockIndicate the depth map value of current prediction unit PU.
The method that unnecessary depth block is skipped is carried out in the step (3) is:
According to fringe region depth block blockedgeWith flat regional depth block blockhomoIn accounting for for entire depth number of blocks
Some unnecessary depth blocks are skipped than and the motor activity implementations of different zones.
The method that the step (5) carries out the rate-distortion optimization process of depth modelling mode decision is: being distorted according to rate
The Lagrange multiplier of cost function and the mode for possessing minimum rate distortion cost are the determination method of optimal prediction mode, benefit
Situation is distorted with rate distortion cost function J=Diff+ λ Bit judgement rate；Wherein, Diff is present mode and prediction mode
Mean difference, λ are Lagrange multipliers, and Bit is bit rate.
Compared with prior art, the present invention only only reduces insignificant PSNR value, merely adds a small amount of code rate, saves
A large amount of scramble times；Shift to an earlier date terminating method due to using comprehensive depth block skipping method and outline mode, obtains fabulous volume
While code performance, a large amount of scramble time is saved, there is actual operation, be convenient for applying in real time.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is flow chart of the invention.
Fig. 2 is the RD curve of experimental data of the present invention compared with original 3D-HEVC encoder, wherein (a) is
" Dancer " (b) is " GT_Fly ", (c) is " Shark ", (d) is " Poznan_Street ", (e) is " Poznan_Hall2 ",
(f) it is " Newspaper ", is (g) " Kendo " and (h) is " Balloons ".
Specific embodiment
The embodiment of the present invention is described in further detail below in conjunction with attached drawing.The present embodiment is with technology of the invention
Implemented under premised on scheme, gives detailed embodiment, but protection scope of the present invention is not limited to following implementation
Example.
As shown in Figure 1, a kind of model mode adjudging method for depth map fast deep, classification is carried out to depth block and is skipped
Determine, then whether terminated in advance according to predicting unit size discrimination outline mode, the rate for finally carrying out depth modelling mode is lost
True optimization obtains optimal depth modelling mode.Specifically, first current depth block sort be near field, middle region and far field
Then domain determines depth block, if belonging near field or middle region according to current prediction unit PU size less than 32 ×
When 32, unnecessary depth block is skipped, outline mode is terminated in advance, finally carries out the rate distortion of depth modelling mode decision most
Optimization process, determines the optimal depth modeling mode of depth map, and judging process terminates, the steps include:
(1), start the depth modelling mode decision process of depth map macro block.
It (2), is near field, middle region and far region current depth block sort.
According to the vision system feature of the mankind, distant object, target are generally higher than to the susceptibility of nearby target movement
Motion activity can be divided into three regions: near field, middle region and far region according to depth map value.And in 3D-HEVC
Depth modelling mode decision height rely on the edge distribution of depth map, we can establish depth block type and depth map value
Correlation:
And
Wherein, DblockShow the depth map value of current prediction unit PU, DnAnd DfRespectively indicate near field and far region
Threshold value.DmaxAnd DminRespectively indicate the minimum and maximum depth map value of present image.According to identified threshold value DnAnd DfBy depth
Block sort is near field, middle region and far region.
(3), it carries out unnecessary depth block to skip: if depth block belongs near field or middle region, entering step (4)；It is no
Then, the depth block depth modelling mode skipping rate-distortion optimization process in far region, enters step (6).
Skip unnecessary depth block: according to blockedgeAnd blockhomoIn the accounting of entire depth number of blocks and not
Some unnecessary depth blocks are skipped with the motor activity implementations in region.Because of the depth block of the belt edge information in far region
Quantity it is seldom, DMM decision process can be skipped in these depth blocks, so when running in 3D-HEVC depth map encoding
Between can be significantly reduced.blockedgeAnd blockhomoRespectively indicate the depth block of edge and flat site.Table 1 is depth block
Distribution of the type in different zones, blockedgeAnd blockhomoEffect be to show two types depth block in three kinds of regions
Accounting situation.Different from depth map value, based on depth block type, using motion activity by human visual system's sensitivity
The characteristic determined is spent, people's i.e. object of which movement activity lower to the susceptibility of far region moving object is lower, it means that remote
Block in regionedgeAccounting it is lower.Marginal zone in current region can be decided whether to skip according to depth block type accounting situation
Domain depth block blockedgeCataloged procedure.As shown in Table 1, averagely only 3% block in far regionedgeDepth block, according to
Experimental result, skip these depth blocks influences can be ignored on encoding efficiency, can adjudicate and skip coding.
Distribution of the 1 depth block type of table in different zones
(4), the termination in advance of outline mode is carried out according to the size of current prediction unit: if current predicting unit ruler
Very little smaller than 32 × 32, outline mode is terminated in advance.
Because usually all selecting tapered mode in 3D-HEVC, and the percentage of tapered mode is with predicting unit PU ruler
Very little reduction will increase.If we can determine predicting unit PU in advance, regardless of whether optimum depth modeling mode is wedge shape
Mode, complicated rate-distortion optimization process can be skipped, and can save a large amount of scramble time.When predicting unit PU's
Than 32 × 32 hours, outline mode was difficult to be chosen as optimal depth modelling mode size.Therefore, when the size of predicting unit PU
When being 8 × 8 and 16 × 16, rate-distortion optimization process can be terminated in advance.Table 2 is different predicting unit PU sizes and DMM
The relationship of decision, as shown in Table 2: when the size of PU is less than 32 × 32, the mode that can directly determine DMM decision is wedge-shaped die
Formula.
The relationship of table 2 difference PU size and DMM decision
(5), the rate-distortion optimization process of depth modelling mode decision is carried out.
It is best for being distorted the Lagrange multiplier of (RD) cost function according to rate and possess the mode of minimum rate distortion cost
Prediction mode determination method, utilize equation J=Diff+ λ Bit judgement rate be distorted situation.Wherein Diff is present mode
With the mean difference of prediction mode, λ is Lagrange multiplier, and Bit is bit rate, and J is RD cost function.
(6), determine that the optimal depth of depth map models mode, enter step (1) and continue next depth block judgement.
The optimal modeling mode of depth modelling mode is determined according to calculated result.The result for obtaining RD cost function J is lower
Illustrate that such mode is optimal, that is, this optimization model is selected to encode.
In order to verify effect of the invention, test experiments are carried out to several standard testing video sequences below, in JCT-VC
On the high efficiency video coding system platform of offer, fixed quantisation parameter is respectively adopted with HTM.Table 3 provides test data parameter,
Table 4 provides test condition, and table 5 provides result of the invention.
Standard test sequences:
3 test data parameter of table
Experimental configuration:
4 experimental configuration of table
| Central processing unit | 2×Intel Xeon E5-2640 v2 2.0GHz |
| Random access memory | 2×16GB DDR3 |
| Operating system | Microsoft Windows 10(64-bit) |
| Experiment porch | Microsoft Visual C++2010 |
Test result:
The contrast and experiment of table 5 present invention and original 3D-HEVC encoder
| Cycle tests | ΔPSNR(dB) | Δ BR (%) | Δ Time (%) |
| Dancer | -0.01 | 0.47 | 33.21 |
| GT_Fly | 0.00 | 0.34 | 34.74 |
| Shark | 0.00 | 0.40 | 34.17 |
| Poznan_Street | -0.03 | 0.89 | 25.16 |
| Poznan_Hall2 | -0.02 | 0.78 | 27.75 |
| Newspaper | -0.02 | 0.55 | 31.55 |
| Kendo | -0.02 | 0.67 | 32.41 |
| Balloons | -0.01 | 0.69 | 31.62 |
| Average | -0.01 | 0.60 | 31.33 |
(a) " Dancer ", (b) " GT_Fly ", (c) " Shark ", (d) " Poznan_Street ", (e) in Fig. 2
" Poznan_Hall2 ", (f) " Newspaper ", (g) " Kendo " and (h) " Balloons " in quantization parameter QP to (25,34),
(30,39), the RD curve under (35,42) and (40,45).From table 5 and Fig. 2: the present invention and original 3D-HEVC coding staff
Formula is compared, and is saved average 31.33% or so scramble time respectively and is gone up by a small margin if Fig. 2 is shown although code rate has,
PSNR has to be declined by a small margin, but saves a large amount of scramble time.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto,
In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art,
It should be covered by the protection scope of the present invention.
Claims (2)
1. a kind of depth modelling mode adjudging method for 3D-HEVC depth map encoding, which is characterized in that first to depth block
It carries out classification and skips judgement, then whether terminated in advance according to predicting unit size discrimination outline mode, finally carry out depth and build
The rate-distortion optimization of mould mode obtains optimal depth modelling mode；Its step are as follows:
(1), start the depth modelling mode decision process of depth map macro block；
It (2), is near field, middle region and far field current depth block sort according to the threshold value of determining near field and far region
Domain；
(3), it carries out unnecessary depth block to skip: if depth block belongs near field or middle region, entering step (4)；Otherwise, exist
Depth block depth modelling mode skipping rate-distortion optimization process, enters step (6) in far region；
(4), the termination in advance of outline mode is carried out according to the size of current prediction unit: if current predicting unit size ratio
32 × 32 is small, and outline mode is terminated in advance, and enters step (5)；
(5), the rate-distortion optimization process of depth modelling mode decision is carried out；
(6), determine that the optimal depth of depth map models mode, enter step (1) and continue next depth block judgement；
It is the method that current depth block sort is near field, middle region and far region in the step (2):
(2-1), the threshold value D that near field is determined according to following equationnWith the threshold value D of far regionfValue:
Wherein, DmaxAnd DminRespectively indicate the minimum and maximum depth map value of present image；
(2-2), depth block is divided into three regions, expression formula by comparing depth map value are as follows:
Wherein, DblockIndicate the depth map value of current prediction unit PU；
The method that the step (5) carries out the rate-distortion optimization process of depth modelling mode decision is: according to rate distortion costs
The Lagrange multiplier of function and the mode for possessing minimum rate distortion cost are the determination method of optimal prediction mode, utilization rate
It is distorted cost function J=Diff+ λ Bit judgement rate and is distorted situation；Wherein, Diff is being averaged for present mode and prediction mode
Difference, λ are Lagrange multipliers, and Bit is bit rate；
The lower depth modelling mode of result that selection rate is distorted cost function J models mode as optimal depth.
2. the depth modelling mode adjudging method according to claim 1 for 3D-HEVC depth map encoding, feature exist
In carrying out the method that unnecessary depth block is skipped in the step (3) is:
According to fringe region depth block blockedgeWith flat regional depth block blockhomoEntire depth number of blocks accounting with
And some unnecessary depth blocks are skipped in the motor activity implementations of different zones；People are quick to far region moving object
The lower i.e. object of which movement activity of sensitivity is lower, block in far regionedgeAccounting it is lower, and block in far regionedgeWith
blockhomoWhen the accounting of entire depth number of blocks is less than 4.1:95.9, depth block is unnecessary depth block.
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| CN104378643A (en) * | 2014-12-04 | 2015-02-25 | 南京理工大学 | Intra-frame prediction mode selection method and system of 3D (3-dimension) video plus depth image |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103546747A (en) * | 2013-09-29 | 2014-01-29 | 北京航空航天大学 | Color video encoding mode based depth map sequence fractal encoding method |
| CN104378643A (en) * | 2014-12-04 | 2015-02-25 | 南京理工大学 | Intra-frame prediction mode selection method and system of 3D (3-dimension) video plus depth image |
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| 《Depth map pre-processing algorithm for compression based on 3D-HEVC scheme》;Hui Ding et al.;《2015 IEEE 16th International Conference on Communication Technology (ICCT)》;20160208;290-294 * |
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