CN103581670A - H.264 self-adaptation intra-frame mode selection code rate estimated rate-distortion optimization method and device thereof - Google Patents

H.264 self-adaptation intra-frame mode selection code rate estimated rate-distortion optimization method and device thereof Download PDF

Info

Publication number
CN103581670A
CN103581670A CN201310466589.XA CN201310466589A CN103581670A CN 103581670 A CN103581670 A CN 103581670A CN 201310466589 A CN201310466589 A CN 201310466589A CN 103581670 A CN103581670 A CN 103581670A
Authority
CN
China
Prior art keywords
matrix
value
zig
zag
rate
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201310466589.XA
Other languages
Chinese (zh)
Other versions
CN103581670B (en
Inventor
陈应军
姚健
潘柏宇
卢述奇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Alibaba China Co Ltd
Youku Network Technology Beijing Co Ltd
Original Assignee
1Verge Internet Technology Beijing Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 1Verge Internet Technology Beijing Co Ltd filed Critical 1Verge Internet Technology Beijing Co Ltd
Priority to CN201310466589.XA priority Critical patent/CN103581670B/en
Publication of CN103581670A publication Critical patent/CN103581670A/en
Application granted granted Critical
Publication of CN103581670B publication Critical patent/CN103581670B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Compression Or Coding Systems Of Tv Signals (AREA)

Abstract

The invention discloses an H.264 self-adaptation intra-frame mode selection code rate estimated rate-distortion optimization method and a system thereof. The method comprises the 4*4 block intra-frame predicating step of utilizing encoded and reconstructed pixels on the upper portions and the left portions of 4*4 luminance blocks and nine kinds of predication models to achieve intra-frame predication, the 4*4 block residual value obtaining step of subtracting the obtained predicated pixel values from real pixels of an object point to obtain a 4*4 block residual value matrix X, the DCT converting step of conducting DCT conversion on the 4*4 block residual value matrix X to obtain a matrix Y, the value R evaluating step of utilizing nonzero coefficients and trailing coefficients scanned by zig-zag in the matrix Y, and evaluating the motion vector to obtain the value R, and the RDO optimizing step of defining a cost function , and selecting the predication model with the minimum cost from the 4*4 intra-frame predicted predication models to be used as the optimal intra-frame predication model by calculating the value of the . The method can improve the encoding efficiency, reduce time complexity and improve the RDO efficiency.

Description

H264 adaptive frame internal schema is selected rate-distortion optimization method and the device thereof of rate estimation
Technical field
The present invention relates to image field, special, relate to a kind of rate-distortion optimization (RDO) method and system to the rate estimation that H.264 adaptive frame internal schema is selected.
Background technology
H.264 be the high compression digital video coding-coding device standard that the joint video team (JVT, Joint Video Team) that constituted jointly by ITU-T Video coding expert group (VCEG) and ISO/IEC dynamic image expert group (MPEG) proposes.H.264 be that to take H.26x series be one of standard of name nominating to ITU-T.This standard has significant effect aspect video compression, compares with other compression method before, and it can save 50% bit rate in the situation that of equal video quality.The improvement of its compression performance is mainly in the 1/4 pixel motion compensation of variable-sized piece, multi-reference frame motion compensation, advanced intra prediction mode, the characteristics such as deblocking filtering effect and adaptive entropy coding.In order to improve compression performance and Rate Control, adopted rate-distortion optimization (RDO) method.But, in RDO method, in order to realize code check prediction, need a large amount of computings.
Specifically, H.264 in Video coding, under RDO in order to obtain predicting code check, existing method is to encode to predict code check by real entropy, this process computation amount is larger, need to spend the more time.Intra prediction mode need to calculate 9 when 4x4 frame mode is selected in, prediction spended time is more.
Therefore, how can improve code efficiency, reduce the time of calculating, improve ROD efficiency and become the technical problem of needing solution in the computing of H.264 encoding badly.
Summary of the invention
The object of the invention is to propose a kind of in Video coding H.264 adaptive frame internal schema select rate-distortion optimization method (RDO) and the system thereof of rate estimation.
H.264 in Video coding, adaptive frame internal schema is selected the rate-distortion optimization method of rate estimation, comprising: 1. one kind H.264 in adaptive frame internal schema select the rate-distortion optimization method of rate estimation, comprise the steps:
Step 1:4x4 piece infra-frame prediction, utilize the top of 4 * 4 luminance block and coding and the reconstructed pixel of left, and 9 kinds of forecast models is realized infra-frame prediction;
Step 2:4x4 piece residual values is obtained, and utilizes the actual pixels of object-point to deduct the pixel value of the prediction that step 1 obtains, and obtains 4x4 piece residual values matrix X;
Step 3:DCT conversion, carries out dct transform to described 4x4 piece residual values matrix X, obtains Y matrix;
Step 4: assessment R value, utilize the nonzero coefficient and the hangover coefficient that scan through zig-zag in Y matrix, and motion vector assessment obtains R value;
Step 5:RDO optimizes, and is defined as follows cost function,
Figure 486935DEST_PATH_IMAGE001
, wherein, D is original image pixels value and the absolute value sum of rebuilding the difference of image pixel value,
Figure 983299DEST_PATH_IMAGE002
for the value relevant to quantization parameter QP, the R value that R obtains for assessment, by calculating
Figure 763036DEST_PATH_IMAGE003
value, the person that selects Least-cost in all forecast models of 4x4 infra-frame prediction as optimum frame in forecast model.
Wherein said DCT conversion step comprises the steps:
Figure 816097DEST_PATH_IMAGE004
Wherein,
Figure 128135DEST_PATH_IMAGE005
Figure 950598DEST_PATH_IMAGE006
in representing matrix, each element is multiplied by the coefficient on correspondence position in matrix E.
Wherein said assessment R value step is specially:
Figure 796855DEST_PATH_IMAGE007
total_coeff scans the number of nonzero coefficient in Y matrix through zig-zag, Trailing_ones scans the number of hangover coefficient in Y matrix through zig-zag, Total_zero for scanning the number of last nonzero coefficient leading zero in Y matrix through zig-zag, Total_level in Y matrix through zig-zag scan all nonzero coefficients amplitude absolute value and, mv is motion vector.
In wherein said RDO Optimization Steps,
Figure 77435DEST_PATH_IMAGE008
The invention also discloses a kind of H.264 middle adaptive frame internal schema and select the rate-distortion optimization device of rate estimation, comprise as lower unit:
4x4 piece intraprediction unit, utilize the top of 4 * 4 luminance block and coding and the reconstructed pixel of left, and 9 kinds of forecast models is realized infra-frame prediction;
4x4 piece residual values acquiring unit, utilizes the actual pixels of object-point to deduct the pixel value of the prediction that described 4x4 piece intraprediction unit obtains, and obtains 4x4 piece residual values matrix X;
Dct transform unit, carries out dct transform to described 4x4 piece residual values matrix X, obtains Y matrix;
Assessment R value cell, utilize the nonzero coefficient and the hangover coefficient that in Y matrix, through zig-zag, scan, and motion vector assessment obtains R value;
RDO optimizes unit, is defined as follows cost function,
Figure 746314DEST_PATH_IMAGE001
, wherein, D is original image pixels value and the absolute value sum of rebuilding the difference of image pixel value, for the value relevant to quantization parameter QP, the R value that R obtains for assessment, by calculating value, the person that selects Least-cost in all forecast models of 4x4 infra-frame prediction as optimum frame in forecast model.
Wherein said DCT change unit comprises:
Wherein,
Figure 986093DEST_PATH_IMAGE005
Figure 913603DEST_PATH_IMAGE006
in representing matrix, each element is multiplied by the coefficient on correspondence position in matrix E.
Wherein said assessment R value cell is specially:
Figure 734452DEST_PATH_IMAGE007
total_coeff scans the number of nonzero coefficient in Y matrix through zig-zag, Trailing_ones scans the number of hangover coefficient in Y matrix through zig-zag, Total_zero for scanning the number of last nonzero coefficient leading zero in Y matrix through zig-zag, Total_level in Y matrix through zig-zag scan all nonzero coefficients amplitude absolute value and, mv is motion vector.
Wherein said RDO optimizes in unit,
Figure 9576DEST_PATH_IMAGE008
.
In the present invention, we have designed efficient adaptive frame internal schema and have selected code rate estimation method to predict code check for 4x4 intra prediction mode, under the condition that does not need entropy coding, predict code check.According to coded image, be that static sequence or the sequence of motion are come adaptively selected, thereby improve code efficiency, reduce time complexity, improve RDO efficiency.
Accompanying drawing explanation
Fig. 1 selects the flow chart of the rate-distortion optimization method of rate estimation according to adaptive frame internal schema of the present invention;
Fig. 2 selects the rate-distortion optimization system module figure of rate estimation according to adaptive frame internal schema of the present invention;
Fig. 3 utilizes pixel A-M to schematic diagram that in square, a-p pixel is carried out intra-frame 4 * 4 prediction.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.Be understandable that, specific embodiment described herein is only for explaining the present invention, but not limitation of the invention.It also should be noted that, for convenience of description, in accompanying drawing, only show part related to the present invention but not entire infrastructure.
Embodiment 1:
Referring to Fig. 1, the H.264 rate-distortion optimization method of middle adaptive frame internal schema selection rate estimation is disclosed in the present embodiment, the method comprises the steps:
Step 101: 4x4 piece is carried out to infra-frame prediction
As shown in Figure 3, in this step, utilize the top of 4 * 4 luminance block and left pixel A-M for encoding and reconstructed pixel, as the prediction reference pixel in codec.A-p is pixel to be predicted, utilizes A-M value and 9 kinds of forecast models to realize the pixel value prediction of a-p.Wherein pattern 2 (DC prediction) is according to encoded pixels prediction in A-M, and all the other patterns only all provide and could use in required predict pixel.To mode 3~8, predict pixel is obtained by A-M weighted average.
Step 102:4x4 piece residual values is obtained
By 4x4 piece infra-frame prediction, just can obtain the pixel value of the corresponding 4x4 position coordinates under different mode, i.e. the pixel value of a-p shown in Fig. 3, it represents with the matrix of a 4x4.Pixel value actual in Fig. 3 is known in encoder, deducts the pixel value of prediction with the actual pixel value of object-point, just obtains 4x4 piece residual values matrix, in the present embodiment, with X, represents 4x4 piece residual values matrix.
Step 103:DCT conversion
To obtaining 4x4 piece residual values matrix X in step 103, carry out dct transform, obtain matrix Y
In a specific embodiment, conversion process is:
Wherein,
Figure 872652DEST_PATH_IMAGE006
in representing matrix, each element is multiplied by the coefficient on correspondence position in matrix E.
By dct transform, can further save image transmitting code check, compressing image signal, adopts transition coding, removes the correlation in picture signal and reduces the dynamic range of Image Coding.Transition coding is transformed into frequency-region signal by image time-domain signal, and in frequency domain, image signal energy major part concentrates on low frequency region, relative time-domain signal, and code check has larger decline.
Step 104: assessment R value:
The nonzero coefficient that utilization scans through zig-zag in Y matrix and hangover coefficient, and motion vector obtains R value.
Particularly:
First be defined as follows parameter:
1) Total_coeff: the number that scans nonzero coefficient in Y matrix through zig-zag.
2) Trailing_ones: the number that scans hangover coefficient in Y matrix through zig-zag.
3) Total_zero: the number that scans last nonzero coefficient leading zero in Y matrix through zig-zag.
4) Total_level: in Y matrix through zig-zag scan all nonzero coefficients amplitude absolute value and.
According to motion vector mv and formula (1), obtain R value, those skilled in the art should know that mv records and obtains in cataloged procedure H.264:
Figure 951467DEST_PATH_IMAGE007
(1)
Step 105:RDO optimizes
Owing to H.264 only having stipulated the syntactic structure of coded bit stream and the structure of decoder in video encoding standard, and there is no concrete regulation for structure and the implementation pattern of encoder.
Therefore, in this step, according to formula (2), define cost function:
Figure 28668DEST_PATH_IMAGE001
(2)
Wherein, D is original image pixels value and rebuild the absolute value sum of the difference of image pixel value, expression be original image through the distortion factor after restoring,
Figure 800315DEST_PATH_IMAGE002
for the value relevant to quantization parameter QP, preferably,, the R value that R obtains for assessment.
Like this, by calculating
Figure 332634DEST_PATH_IMAGE003
value, at all forecast models of 4x4 infra-frame prediction, i.e. pattern 1-9, middle selection Least-cost person is as forecast model in optimum frame.
Embodiment 2:
Referring to Fig. 2, the rate-distortion optimization device that a kind of H.264 middle adaptive frame internal schema is selected rate estimation is disclosed in the present embodiment, comprise as lower unit:
4x4 piece intraprediction unit, utilize the top of 4 * 4 luminance block and coding and the reconstructed pixel of left, and 9 kinds of forecast models is realized infra-frame prediction;
4x4 piece residual values acquiring unit, utilizes the actual pixels of object-point to deduct the pixel value of the prediction that described 4x4 piece intraprediction unit obtains, and obtains 4x4 piece residual values matrix X;
Dct transform unit, carries out dct transform to described 4x4 piece residual values matrix X, obtains Y matrix;
Assessment R value cell, utilize the nonzero coefficient and the hangover coefficient that in Y matrix, through zig-zag, scan, and motion vector assessment obtains R value;
RDO optimizes unit, is defined as follows cost function,
Figure 215139DEST_PATH_IMAGE001
,
Wherein, D is original image pixels value and the absolute value sum of rebuilding the difference of image pixel value, and original image process is restored the distortion factor afterwards,
Figure 141460DEST_PATH_IMAGE002
for the value relevant to quantization parameter QP, the R value that R obtains for assessment, by calculating
Figure 84008DEST_PATH_IMAGE003
value, the person that selects Least-cost in all forecast models of 4x4 infra-frame prediction as optimum frame in forecast model.
Wherein said DCT change unit comprises:
Figure 179795DEST_PATH_IMAGE004
Wherein,
Figure 600412DEST_PATH_IMAGE005
in representing matrix, each element is multiplied by the coefficient on correspondence position in matrix E.
Wherein said assessment R value cell is specially:
Figure 684097DEST_PATH_IMAGE007
total_coeff scans the number of nonzero coefficient in Y matrix through zig-zag, Trailing_ones scans the number of hangover coefficient in Y matrix through zig-zag, Total_zero for scanning the number of last nonzero coefficient leading zero in Y matrix through zig-zag, Total_level in Y matrix through zig-zag scan all nonzero coefficients amplitude absolute value and, mv is motion vector.
Wherein said RDO optimizes in unit,
Figure 188551DEST_PATH_IMAGE008
.
Therefore, in the prior art, in the H.264 codec reference model JM that the common joint specialist group forming of ISO and ITU provides, when 4x4 frame mode is selected, assessment R encodes actual computing to obtain by entropy, and operand is large.And rate-distortion optimization method of the present invention can be transplanted in JM, realize adaptive frame internal schema and selected rate estimation assessment R, realize on this basis RDO and optimize.
Again for example, the Video coding free software x264 that adopts GPL to authorize be one based on H.264.The major function of x264 is to carry out the H.264/MPEG-4 Video coding of AVC, at its 4x4 frame mode, selects, in code check estimation procedure, can select flexibly R estimation function according to rate-distortion optimization method of the present invention, obtains estimating code check, uses
Figure 412859DEST_PATH_IMAGE001
the cost obtaining is selected best 4x4 frame mode.
Therefore, for adaptive frame internal schema of the present invention, select the rate distortion algorithm of code check estimation, can, according to the static or adaptive selection intra prediction mode of motion image sequence code check valuation functions, in RDO optimizes, there is adaptivity.And, H.264 in video coding process, can estimate fast the code check that in frame, 4x4 block prediction mode coding takies, and no longer need entropy to encode to obtain code check, can reduce the Video coding time.
Obviously, those skilled in the art should be understood that, above-mentioned each unit of the present invention or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on the network that a plurality of calculation elements form, alternatively, they can realize with the executable program code of computer installation, thereby they can be stored in storage device and be carried out by calculation element, or they are made into respectively to each integrated circuit modules, or a plurality of modules in them or step are made into single integrated circuit module to be realized.Like this, the present invention is not restricted to the combination of any specific hardware and software.
Above content is in conjunction with concrete preferred implementation further description made for the present invention; can not assert that the specific embodiment of the present invention only limits to this; for general technical staff of the technical field of the invention; without departing from the inventive concept of the premise; can also make some simple deduction or replace, all should be considered as belonging to the present invention and determine protection range by submitted to claims.

Claims (8)

  1. H.264 in adaptive frame internal schema select the rate-distortion optimization method of rate estimation, comprise the steps:
    Step 1:4x4 piece infra-frame prediction, utilize the top of 4 * 4 luminance block and coding and the reconstructed pixel of left, and 9 kinds of forecast models is realized infra-frame prediction;
    Step 2:4x4 piece residual values is obtained, and utilizes the actual pixels of object-point to deduct the pixel value of the prediction that step 1 obtains, and obtains 4x4 piece residual values matrix X;
    Step 3:DCT conversion, carries out dct transform to described 4x4 piece residual values matrix X, obtains Y matrix;
    Step 4: assessment R value, utilize the nonzero coefficient and the hangover coefficient that scan through zig-zag in Y matrix, and motion vector assessment obtains R value;
    Step 5:RDO optimizes, and is defined as follows cost function,
    Figure 559368DEST_PATH_IMAGE001
    Wherein, D is original image pixels value and the absolute value sum of rebuilding the difference of image pixel value, for the value relevant to quantization parameter QP, the R value that R obtains for assessment, by calculating
    Figure 567830DEST_PATH_IMAGE003
    value, the person that selects Least-cost in all forecast models of 4x4 infra-frame prediction as optimum frame in forecast model.
  2. 2. rate-distortion optimization method according to claim 1, wherein said DCT conversion step comprises the steps:
    Figure 963040DEST_PATH_IMAGE004
    Wherein,
    Figure 308570DEST_PATH_IMAGE005
    Figure 662191DEST_PATH_IMAGE006
    in representing matrix, each element is multiplied by the coefficient on correspondence position in matrix E.
  3. 3. rate-distortion optimization method according to claim 1, wherein said assessment R value step is specially:
    Figure 929225DEST_PATH_IMAGE007
    total_coeff scans the number of nonzero coefficient in Y matrix through zig-zag, Trailing_ones scans the number of hangover coefficient in Y matrix through zig-zag, Total_zero for scanning the number of last nonzero coefficient leading zero in Y matrix through zig-zag, Total_level in Y matrix through zig-zag scan all nonzero coefficients amplitude absolute value and, mv is motion vector.
  4. 4. rate-distortion optimization method according to claim 1, in wherein said RDO Optimization Steps,
    Figure 659283DEST_PATH_IMAGE008
    .
  5. H.264 in adaptive frame internal schema select the rate-distortion optimization device of rate estimation, comprise as lower unit:
    4x4 piece intraprediction unit, utilize the top of 4 * 4 luminance block and coding and the reconstructed pixel of left, and 9 kinds of forecast models is realized infra-frame prediction;
    4x4 piece residual values acquiring unit, utilizes the actual pixels of object-point to deduct the pixel value of the prediction that described 4x4 piece intraprediction unit obtains, and obtains 4x4 piece residual values matrix X;
    Dct transform unit, carries out dct transform to described 4x4 piece residual values matrix X, obtains Y matrix;
    Assessment R value cell, utilize the nonzero coefficient and the hangover coefficient that in Y matrix, through zig-zag, scan, and motion vector assessment obtains R value;
    RDO optimizes unit, is defined as follows cost function,
    Figure 610053DEST_PATH_IMAGE009
    , wherein,
    D is original image pixels value and the absolute value sum of rebuilding the difference of image pixel value,
    Figure 134575DEST_PATH_IMAGE002
    for the value relevant to quantization parameter QP, the R value that R obtains for assessment, by calculating
    Figure 888904DEST_PATH_IMAGE003
    value, the person that selects Least-cost in all forecast models of 4x4 infra-frame prediction as optimum frame in forecast model.
  6. 6. rate-distortion optimization device according to claim 5, wherein said DCT change unit comprises:
    Figure 157075DEST_PATH_IMAGE004
    Wherein,
    Figure 680460DEST_PATH_IMAGE005
    Figure 641463DEST_PATH_IMAGE006
    in representing matrix, each element is multiplied by the coefficient on correspondence position in matrix E.
  7. 7. rate-distortion optimization device according to claim 5, wherein said assessment R value cell is specially:
    total_coeff scans the number of nonzero coefficient in Y matrix through zig-zag, Trailing_ones scans the number of hangover coefficient in Y matrix through zig-zag, Total_zero for scanning the number of last nonzero coefficient leading zero in Y matrix through zig-zag, Total_level in Y matrix through zig-zag scan all nonzero coefficients amplitude absolute value and, mv is motion vector.
  8. 8. rate-distortion optimization device according to claim 5, wherein said RDO optimizes in unit,
    Figure 941567DEST_PATH_IMAGE008
CN201310466589.XA 2013-10-09 2013-10-09 H264 self-adaptation intra-frame mode selection code rate estimated rate-distortion optimization method and device thereof Active CN103581670B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201310466589.XA CN103581670B (en) 2013-10-09 2013-10-09 H264 self-adaptation intra-frame mode selection code rate estimated rate-distortion optimization method and device thereof

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201310466589.XA CN103581670B (en) 2013-10-09 2013-10-09 H264 self-adaptation intra-frame mode selection code rate estimated rate-distortion optimization method and device thereof

Publications (2)

Publication Number Publication Date
CN103581670A true CN103581670A (en) 2014-02-12
CN103581670B CN103581670B (en) 2015-05-20

Family

ID=50052448

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201310466589.XA Active CN103581670B (en) 2013-10-09 2013-10-09 H264 self-adaptation intra-frame mode selection code rate estimated rate-distortion optimization method and device thereof

Country Status (1)

Country Link
CN (1) CN103581670B (en)

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105933717A (en) * 2016-04-25 2016-09-07 北京奇艺世纪科技有限公司 Coding unit mode decision method and device
CN107005700A (en) * 2014-11-27 2017-08-01 奥兰治 For constituting the method that intermediate video is represented
CN107071422A (en) * 2017-04-17 2017-08-18 南京邮电大学 Low complex degree HEVC rate adaption transformation coding methods based on image correlation model
CN108063945A (en) * 2017-12-21 2018-05-22 西北工业大学 A kind of linear code rate estimation method based on element category
CN108322749A (en) * 2018-03-15 2018-07-24 北京数码视讯科技股份有限公司 The coefficient optimization method of RDOQ, the accelerating method and device of RDOQ
CN109089125A (en) * 2018-09-19 2018-12-25 上海电力学院 A kind of DCT coefficient distribution characteristics model optimization method in Video coding
CN109361921A (en) * 2018-11-14 2019-02-19 上海第二工业大学 A kind of intraframe predictive coding accelerated method
CN111787320A (en) * 2020-07-03 2020-10-16 北京博雅慧视智能技术研究院有限公司 Transform coding system and method
CN112653891A (en) * 2020-10-12 2021-04-13 浙江天则通信技术有限公司 Method and system for determining coding bit length based on processing chip

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008070987A1 (en) * 2006-12-12 2008-06-19 Vantrix Corporation An improved video rate control for video coding standards
CN101207810A (en) * 2006-12-21 2008-06-25 联想(北京)有限公司 Method and apparatus for fast mode selecting of H264 video coding
CN102364950A (en) * 2011-11-17 2012-02-29 武汉天喻信息产业股份有限公司 H.264/advanced video coding (AVC)-standard-based intra-frame prediction mode rapid selection method and device
CN102740077A (en) * 2012-07-04 2012-10-17 西安电子科技大学 H.264/AVC standard-based intra-frame prediction mode selection method

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2008070987A1 (en) * 2006-12-12 2008-06-19 Vantrix Corporation An improved video rate control for video coding standards
CN101207810A (en) * 2006-12-21 2008-06-25 联想(北京)有限公司 Method and apparatus for fast mode selecting of H264 video coding
CN102364950A (en) * 2011-11-17 2012-02-29 武汉天喻信息产业股份有限公司 H.264/advanced video coding (AVC)-standard-based intra-frame prediction mode rapid selection method and device
CN102740077A (en) * 2012-07-04 2012-10-17 西安电子科技大学 H.264/AVC standard-based intra-frame prediction mode selection method

Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107005700A (en) * 2014-11-27 2017-08-01 奥兰治 For constituting the method that intermediate video is represented
CN107005700B (en) * 2014-11-27 2020-08-25 奥兰治 Method for composing an intermediate video representation
CN105933717A (en) * 2016-04-25 2016-09-07 北京奇艺世纪科技有限公司 Coding unit mode decision method and device
CN105933717B (en) * 2016-04-25 2019-03-12 北京奇艺世纪科技有限公司 A kind of mode decision method and apparatus of coding unit
CN107071422B (en) * 2017-04-17 2019-07-12 南京邮电大学 Low complex degree HEVC rate adaption transformation coding method based on image correlation model
CN107071422A (en) * 2017-04-17 2017-08-18 南京邮电大学 Low complex degree HEVC rate adaption transformation coding methods based on image correlation model
CN108063945A (en) * 2017-12-21 2018-05-22 西北工业大学 A kind of linear code rate estimation method based on element category
CN108063945B (en) * 2017-12-21 2021-07-09 西北工业大学 Element class-based linear code rate estimation method
CN108322749A (en) * 2018-03-15 2018-07-24 北京数码视讯科技股份有限公司 The coefficient optimization method of RDOQ, the accelerating method and device of RDOQ
CN109089125B (en) * 2018-09-19 2020-10-23 上海电力学院 DCT coefficient distribution characteristic model optimization method in video coding
CN109089125A (en) * 2018-09-19 2018-12-25 上海电力学院 A kind of DCT coefficient distribution characteristics model optimization method in Video coding
CN109361921A (en) * 2018-11-14 2019-02-19 上海第二工业大学 A kind of intraframe predictive coding accelerated method
CN109361921B (en) * 2018-11-14 2021-03-26 上海第二工业大学 Intra-frame prediction coding acceleration method
CN111787320A (en) * 2020-07-03 2020-10-16 北京博雅慧视智能技术研究院有限公司 Transform coding system and method
CN112653891A (en) * 2020-10-12 2021-04-13 浙江天则通信技术有限公司 Method and system for determining coding bit length based on processing chip
CN112653891B (en) * 2020-10-12 2024-02-02 浙江天则通信技术有限公司 Method and system for determining coding bit length based on processing chip

Also Published As

Publication number Publication date
CN103581670B (en) 2015-05-20

Similar Documents

Publication Publication Date Title
KR102468143B1 (en) Apparatus and method for coding/decoding image selectivly using descrete cosine/sine transtorm
JP6974516B2 (en) Restoration block generation method, predictive information coding method, bitstream, computer-readable medium
CN103581670B (en) H264 self-adaptation intra-frame mode selection code rate estimated rate-distortion optimization method and device thereof
KR102418957B1 (en) Video encoding/decoding method and apparatus using prediction based on in-loop filtering
KR101888333B1 (en) Image Encoding/Decoding Method and Apparatus Using Deblocking Filtering
KR100952340B1 (en) Method and Apparatus for Determing Encoding Mode by Using Temporal and Spartial Complexity
KR102164752B1 (en) Intra prediction apparatus
JP2020191647A (en) Method and device for selection of conversion in video coding and video decoding
KR100773761B1 (en) The apparatus and method of moving picture encoding
EP2214415B1 (en) A dual prediction video encoding and decoding method and a device
CN102595140B (en) Intra-frame prediction video coding method based on image inpainting and vector prediction operators
KR20090099234A (en) Method and apparatus for video encoding and decoding
JP5345220B2 (en) Encoding and decoding with the exclusion of one or more predetermined predictors
CN104320657B (en) The predicting mode selecting method of HEVC lossless video encodings and corresponding coding method
KR20130045148A (en) Method and apparatus for encoding image in intra prediction mode
KR20100004037A (en) Method and apparatus for encoding video, and method and apparatus for decoding video
CN103460700A (en) Method for decoding image in intra prediction mode
KR20090097688A (en) Method and apparatus of encoding/decoding image based on intra prediction
KR20100027384A (en) Method and apparatus for determining a prediction mode
KR20110000438A (en) Video encoding/decoding method and apparatus by using multiple dimensional integer transform
CN103248895A (en) Quick mode estimation method used for HEVC intra-frame coding
CN103929652A (en) Intra-frame prediction fast mode selecting method based on autoregressive model in video standard
CN115118976A (en) Image coding method, readable medium and electronic device thereof
CN104702959A (en) Intra-frame prediction method and system of video coding
KR101512643B1 (en) 2 Video encoding apparatus and Apparatus and Method of 2 dimensional ordering transform for image signal and Recording Medium therefor

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
CP01 Change in the name or title of a patent holder

Address after: 100080 Beijing Haidian District city Haidian street A Sinosteel International Plaza No. 8 block 5 layer A, C

Patentee after: Youku network technology (Beijing) Co.,Ltd.

Address before: 100080 Beijing Haidian District city Haidian street A Sinosteel International Plaza No. 8 block 5 layer A, C

Patentee before: 1VERGE INTERNET TECHNOLOGY (BEIJING) Co.,Ltd.

CP01 Change in the name or title of a patent holder
TR01 Transfer of patent right

Effective date of registration: 20200323

Address after: Room 508, floor 5, building 4, No. 699, Wangshang Road, Changhe street, Binjiang District, Hangzhou City, Zhejiang Province

Patentee after: Alibaba (China) Co.,Ltd.

Address before: 100080 Beijing Haidian District city Haidian street A Sinosteel International Plaza No. 8 block 5 layer A, C

Patentee before: Youku network technology (Beijing) Co.,Ltd.

TR01 Transfer of patent right