CN106791828A - High performance video code-transferring method and its transcoder based on machine learning - Google Patents
High performance video code-transferring method and its transcoder based on machine learning Download PDFInfo
- Publication number
- CN106791828A CN106791828A CN201611186074.4A CN201611186074A CN106791828A CN 106791828 A CN106791828 A CN 106791828A CN 201611186074 A CN201611186074 A CN 201611186074A CN 106791828 A CN106791828 A CN 106791828A
- Authority
- CN
- China
- Prior art keywords
- hevc
- avc
- frame
- information
- patterns
- 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
Links
Classifications
-
- 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
-
- 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
- H04N19/115—Selection of the code volume for a coding unit prior to coding
-
- 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
- H04N19/12—Selection from among a plurality of transforms or standards, e.g. selection between discrete cosine transform [DCT] and sub-band transform or selection between H.263 and H.264
- H04N19/122—Selection of transform size, e.g. 8x8 or 2x4x8 DCT; Selection of sub-band transforms of varying structure or type
-
- 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
- H04N19/134—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
- H04N19/136—Incoming video signal characteristics or properties
- H04N19/137—Motion inside a coding unit, e.g. average field, frame or block difference
-
- 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
Abstract
The present invention starts with from the difference H.264/AVC between HEVC standard, discloses a kind of quick interframe transcoding algorithm.Labor differences of two standards on the partitioned organization of inter prediction encoding, invention design is a kind of on this basis strengthens Bayes classifier and carries out CU depth prediction schemes in HEVC using tree.CU and PU predictive modes in HEVC coding sides are determined using the H.264/AVC information such as the block size of decoding end inter prediction, MV, so as to save the computation complexity of inter-frame mode judgement in transcoding.Code-transferring method disclosed by the invention, in the case where bit rate and video quality loss are very small, greatly reduces the computation complexity of coding.
Description
Technical field
The present invention relates to the Video Transcoding Technology problem in field of picture communication, turn more particularly, to a kind of high performance video
Code inter-frame mode decision method.
Background technology
In recent years, developing rapidly with video traffic, people are to watching the demand also more and more higher of HD video.At present
H.264/AVC/AVC, the video compression coding standard of main flow has not adapted to the HD video transmission under data volume high.At this
Under kind of trend, ISO/IEC and ITU-T combines and has formulated current newest International video coding standard (HEVC), the pressure of the standard
Shrinkage especially has a good compression effectiveness compared to H.264/AVC/AVC improving one times or so to HD video, but also thus band
The raising of computation complexity is carried out.Therefore, how ensure video encoding quality while reduce coding computation complexity into
For the focus of field of video encoding research.
Relative to H.264/AVC/AVC, HEVC has larger difference in coding method, is mainly reflected in following side
Face：(1) employ more flexible coding structure to improve code efficiency, it includes coding unit CU, predicting unit PU and change
Unit TU is changed, while the size of H.264/AVC/AVC middle macro block extend to 64 × 64 from 16 × 16, in order to preferably enter
The compression of row high-resolution video；(2) more intra prediction directions are employed, at most up to 35 kinds of prediction directions, wider model
The PU sizes enclosed and more PU intra prediction directions are so that H.264/AVC/AVC HEVC infra-frame predictions than there is coding higher
Efficiency；(3) more inter-frame forecast modes are employed, symmetrical PU patterns and asymmetric PU patterns is contained so that HEVC has
More accurate Block- matching；(4) orthogonal transformation of more sizes and type is employed, point self-adapted skew (SAO) of sampling is adaptive
Answer the technologies such as loop filtering (ALF) and paralell design.
With the formulation of HEVC, the direction of standard room transcoding research is gradually transferred to conventional video encoding standard to HEVC
The transcoding of standard.Shen Tong etc. are proposed in associative mode and its four neighbouring pattern directly in H.264/AVC/AVC
Select optimal intra prediction mode.Zhang Dong etc. are proposed using the power spectrum and input for being based on rate-distortion optimization model
The information such as residual error, predictive mode and motion vector estimate optimal quadtree division, optimal PU patterns and each PU of CU most
Good speed dynamic vector；For infra-frame prediction, the method for proposing to reduce CU and PU piecemeal candidates, to save the scramble time.Both sides
Although method all reduces computation complexity, larger is influenceed on code check.Tamer Shannableh propose a kind of based on content
The video transcoding method of MPEG-2 to the HEVC of modeling, introduces the machine learning method prediction HEVC coding units based on content
Depth.Eduardo Peixoto propose the video code conversion for H.264/AVC/AVC arriving HEVC modeled based on dynamic threshold and content
Device, the coding parameter of the more preceding frame of video sequence is used for the mapping for training transcoder to learn particular video frequency, afterwards, Eduardo
Peixoto proposes both of which mapping algorithm, and one kind is to use dynamic thresholding method, is determined with coding parameter H.264/AVC/AVC
Determine the macroblock mode of HEVC codings；Another kind is that the coding parameter mapped H.264/AVC/AVC using linear decision function is arrived
The macroblock mode of HEVC.The transcoding effect that both approaches will reach, is required for substantial amounts of training.Peiyin Xing are directed to
Monitor video proposes a kind of code-transferring method based on background model grader, this method save 50% computation complexity, but
It is relatively simple range of application.
The content of the invention
For video compression coding standard HEVC computation complexities of new generation it is higher the characteristics of, the present invention utilizes different coding
The coding mode of standard room and the correlation of estimation, it is proposed that a kind of high performance video interframe encode based on machine learning
Method, reduces the number of times of inter prediction encoding, so as to significantly reduce the computation complexity of coding side.
Basic thought of the invention is the correlation using the coding mode of different coding standard room, using H.264/AVC/
The coding information in coding information and HEVC standard in AVC standards carries out machine as data are extracted using this extraction data
Study.And quickly determine the partition mode of CU using machine learning result so that reduce predictive coding traversal depth and
The RDCost recursive calculations of redundancy.And then reach the purpose for reducing computation complexity.
The present invention proposes a kind of fast transcoding method, including coded system for the transcoding for H.264/AVC/AVC arriving HEVC
Prediction.In the coded system division, the final coded block size pattern in extracting H.264/AVC/AVC, and extract HEVC
Final coded block size pattern, these data is put into study is trained in Machine learning classifiers.And find two standards
Between pattern corresponding relation.And then the coded block pattern in H.264/AVC/AVC is reflected by certain rule using this corresponding relation
It is mapped in HEVC coding modes, CU divisions is carried out in advance；In predictive mode selection, traversal is predicted by the PU determined under CU depth
Pattern, reduces unnecessary rate distortion value calculation.It is specific mainly to include procedure below step：
(1) judge whether current encoded frame is preceding ten frame, if preceding ten frame, then extract H.264/AVC/AVC with HEVC in
CU depth informations；
(2) macro block information is obtained：The code stream of H.264/AVC/AVC form is put into H.264/AVC/AVC decoder and is solved
Code, these information include the coordinate position in frame where the numbering of frame where macro block, macro block, the predictive mode of macro block, motion point
Slip gauge then, motion vector (MV).
(3) coding unit (CU) information is obtained：Decoded code stream is put into HEVC and is encoded, these information include
Coordinate position in frame where the numbering of frame, CU where CU, the predictive mode of CU, motion piecemeal rule, motion vector (MV).
(4) machine learning training is carried out using this information, machine learning method is to be calculated based on the enhanced Bayes's classification of tree
Method, obtains the 11st frame and its afterwards the depth map relation in the predictive mode of frame；When the CU sizes of HEVC are 64 × 64,32
× 32, according to the depth map relation that training draws, predict whether to continue segmentation downwards.When the CU sizes of HEVC are 16 × 16,8
Coding depth relation when × 8；
(5) due to the PU corresponding to size and sub- CU based on the sub- CU included in the LCU that obtains of said process analysis
Pattern has determined that.Therefore, when a LCU of HEVC is encoded, the present invention can be by these information of correspondence LCU neutrons CU
Simplify the quad-tree partition of current LCU and the traversal of PU patterns.It will be clear that because current LCU is based on interframe
It is that the relevant information of prediction is obtained and not comprising the relevant information of infra-frame prediction；Therefore in order to prevent error diffusion, present invention rule
Determining the PU patterns of the infra-frame prediction in HEVC can't simplify but be encoded as CU in HEVC the PU patterns that must be traveled through.
In such scheme, invention defines the index of following test：BD-ratedelta
Rate), BD-PSNR (Delta peak signal-to-noise rate) and Δ Time.
Wherein, BD-rate represents that transcoding algorithm of the present invention directly cascades video transcoding method compared to H.264/AVC arriving HEVC
The percentage of bit rate variation under same PSNR；BD-PSNR represents that transcoding algorithm of the present invention is direct compared to HEVC is H.264/AVC arrived
Cascade the change of video transcoding method video quality；TimeTurnAnd TimeHEVCTranscoding algorithm of the present invention and H.264/ is represented respectively
AVC to HEVC directly cascades the overall scramble time of video transcoding method, and Δ Time represents that transcoding algorithm of the present invention is compared
H.264/AVC the percentage that HEVC directly cascades the video transcoding method increase scramble time is arrived.According to algorithm proposed by the present invention
The scramble time can be greatlyd save in the situation for keeping bit rate and PSNR to be basically unchanged.
The present invention has researched and analysed the difference of the H.264/AVC/AVC inter prediction encoding pattern between HEVC, and according to
These differences, design a kind of new interframe transcoding algorithm.The code stream encoded with H.264/AVC/AVC encoder is put first
Enter decoding in H.264/AVC/AVC decoder, each information of macro block is extracted in decoding process：Prediction including each macro block
The information such as pattern, coordinate position, the size of interframe prediction block and MV, are then used for bayes machine by the information that these are extracted
Learning training, by the predictive mode obtained by training, is converted into HEVC and encodes available CU, PU information, last directly by CU, the PU
Information is used in HEVC codings.Due to CU, PU information for having determination, therefore in the cataloged procedure of HEVC, it is not necessary to according to it
Coded system originally carries out the quad-tree partition of CU, it is not required that all possible PU patterns are traveled through under each CU depth,
And only need to calculate the PU patterns and intra prediction mode under corresponding CU depth, so as to save CU quad-tree partitions in transcoding
The computation complexity traveled through with PU patterns.Test result indicate that, code-transferring method of the invention, in bit rate and video quality loss
In the case of less, the computation complexity of coding is greatly reduced.
Brief description of the drawings
Fig. 1 trans-coding system block diagrams；
7 kinds of PU patterns in Fig. 2 HEVC；
Fig. 3 H.264/AVC/AVC inter prediction block sizes.
Specific embodiment
With reference to embodiment, the present invention is described in further detail, it is necessary to, it is noted that following embodiment
It is served only for that the present invention is described further, it is impossible to be interpreted as limiting the scope of the invention, art technology is ripe
Personnel are known according to foregoing invention content, some nonessential modifications and adaptations is made to the present invention and is embodied, should still belonged to
In protection scope of the present invention.
1. two programs of algorithm are opened simultaneously and set identical configuration file, reference software selection HM16.0, amount
Change step-length (QP) value and take 22,27,32 and 37 respectively.The present invention will directly cascade video code conversion with HEVC is H.264/AVC/AVC arrived
Method be compared.And to its three kinds of video coding performances：Bit rate, Y-PSNR (PSNR) and video encoding time
(wherein PSNR embodies the objective video quality of video, and video encoding time embodies the computation complexity of coding), compares
Analysis.
2. in HEVC video coding techniques, PU predictive modes can take symmetrical and asymmetrical integrated forecasting pattern,
Symmetrical predictive mode can also be only taken, the present invention takes symmetrical predictive mode.
3. the object of coding is that the HEVC test videos of standard are：BasketballDrill、PartyScene、
Fourpeople, Johnny, BQTerrace, Kimono1, KristenAndSara, BlowingBubbles, BQSquare and
BasketballPass。
4. 2 identical video sequences are input into；
5. respectively 2 identical video sequences are carried out with fast transcoding and direct cascade transcoding；
6. video sequence is entered under H.264/AVC/AVC mode using H.264/AVC/AVC video encoder JM18.2
Row Video coding, forms H.264/AVC/AVC form code stream；
7. pair H.264/AVC/AVC form code stream decoding, obtains rebuilding video, then compile the reconstruction video with HEVC modes
Code, is directly cascaded the information such as bit rate, PSNR, the scramble time of code-transferring method；
8. pair H.264/AVC/AVC form code stream decoding, obtains rebuilding video, while obtain macro block in decoding process sitting
The information such as cursor position, blocking information, MV, machine learning prediction is completed according to these information, and most H.264/AVC decoding end is obtained at last
The macro block information for obtaining is converted into the LCU information suitable for HEVC codings with CU, PU form, is then carried out to rebuilding video
HEVC is encoded, and LCU information is used in coding, directly calculates the corresponding PU patterns under correspondence CU.Without in each CU
All of PU patterns are traveled through under depth one by one；
9. two programs export the video sequence after Video coding respectively, and pre- to carrying out machine learning under different CU depth
The bit rate of survey, PSNR values and total video encoding time, the result of quality index as shown in table 1, the statistics display present invention
Algorithm than H.264/AVC to HEVC it is direct cascade code-transferring method changed 2.814% or so on BD-rate, in video quality
BD-PSNR values aspect reduces 0.144dB, and 74% or so is reduced in Video coding terms of the computation complexity.As a whole, originally
Invention algorithm (declines degree to come in video compression ratio compared with H.264/AVC arriving HEVC and directly cascading code-transferring method by bit rate
Embody) and video quality loss very little on the premise of, greatly reduce the computation complexity (being shown in Table 1) of Video coding.
The inventive algorithm of table 1 and H.264/AVC arrive the comparing that HEVC directly cascades video coding performance between code-transferring method
Claims (6)
1. a kind of from H.264/AVC to the quick interframe code-transferring method of HEVC, it is characterised in that：
(1) judge whether current encoded frame is preceding ten frame, if preceding ten frame, then extract H.264/AVC with HEVC in CU depth
Information；
(2) H.264/AVC form code stream will be decoded in being placed to H.264/AVC decoder, each two field picture will be obtained from decoding terminal
In frame where each piecemeal numbering, the coordinate position in the frame of place, the predictive mode of piecemeal, motion piecemeal rule, piecemeal
MV and reference frame；
(3) coding unit (CU) information is obtained：Decoded code stream is put into HEVC and is encoded, these information include CU institutes
Coordinate position in frame where the numbering of frame, CU, the predictive mode of CU, motion piecemeal rule, motion vector (MV).
(4) machine learning training is carried out using this information, machine learning method is based on setting enhanced Bayesian Classification Arithmetic, in advance
Measure to the 11st frame and its depth map relation in the predictive mode of frame afterwards；When the CU sizes of HEVC are 64 × 64,32
× 32, according to the depth map relation that training draws, predict whether to continue segmentation downwards.When the CU sizes of HEVC are 16 × 16,8
Coding depth relation when × 8；
(5) due to the PU patterns corresponding to size and sub- CU based on the sub- CU included in the LCU that obtains of said process analysis
Have determined that.Therefore, when a LCU of HEVC is encoded, the present invention can be by these information reductions of correspondence LCU neutrons CU
The quad-tree partition and the traversal of PU patterns of current LCU.It will be clear that because current LCU is based on inter prediction
Relevant information obtain and the relevant information not comprising infra-frame prediction；Therefore in order to prevent error diffusion, present invention provide that
The PU patterns that must be traveled through can't be simplified but encoded as CU in HEVC to the PU patterns of the infra-frame prediction in HEVC.
2. as claimed in claim 1 based on the quick interframe code-transferring method of HEVC high performance videos is H.264/AVC arrived, its feature exists
It is 0~1 two kinds of depth to split depth in prediction CU.In HEVC 2~3 depth with H.264/AVC in Fractionation regimen it is identical.
3. as described in one of claim 1 and 2 based on H.264/AVC arriving the quick interframe code-transferring method of HEVC high performance videos,
Infra-frame prediction PU patterns in its HEVC will not be simplified, but travel through all of frame in PU patterns.
4. such as the CU Forecasting Methodologies in claim 1, it is characterized in that using based on the enhanced Bayes classifier of tree.
5. such as grader that the CU Forecasting Methodologies in claim 1 are used, it is characterised in that not using only the number in H.264/AVC
According to feature, while using the data characteristics in HEVC.
6. a kind of for being based on H.264/AVC arriving the quick interframe transcoding side of HEVC high performance videos described in perform claim requirement 1 to 5
The video code translator of method.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611186074.4A CN106791828B (en) | 2016-12-21 | 2016-12-21 | Video transcoding method and its transcoder based on machine learning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201611186074.4A CN106791828B (en) | 2016-12-21 | 2016-12-21 | Video transcoding method and its transcoder based on machine learning |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN106791828A true CN106791828A (en) | 2017-05-31 |
| CN106791828B CN106791828B (en) | 2019-05-07 |
Family
ID=58896068
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201611186074.4A Active CN106791828B (en) | 2016-12-21 | 2016-12-21 | Video transcoding method and its transcoder based on machine learning |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN106791828B (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108174208A (en) * | 2018-02-12 | 2018-06-15 | 杭州电子科技大学 | A kind of efficient video coding method of feature based classification |
| TWI743919B (en) * | 2020-08-03 | 2021-10-21 | 緯創資通股份有限公司 | Video processing apparatus and processing method of video stream |
| CN114422797A (en) * | 2021-12-28 | 2022-04-29 | 重庆邮电大学 | H.264-H.265 transcoding method based on time-dependent rate distortion optimization |
| CN114501026A (en) * | 2022-02-17 | 2022-05-13 | 北京百度网讯科技有限公司 | Video encoding method, device, equipment and storage medium |
| US11880966B2 (en) | 2020-08-03 | 2024-01-23 | Wistron Corporation | Image quality assessment apparatus and image quality assessment method thereof |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103248893A (en) * | 2013-05-10 | 2013-08-14 | 四川大学 | Method for quick inter-frame transcoding from H. 264/AVC standard to HEVC standard and transcoder thereof |
| CN103475880A (en) * | 2013-09-11 | 2013-12-25 | 浙江大学 | Method for low-complexity video transcoding from H.264 to HEVC based on statistic analysis |
| US20140086315A1 (en) * | 2012-09-25 | 2014-03-27 | Apple Inc. | Error resilient management of picture order count in predictive coding systems |
| CN103796023A (en) * | 2014-03-05 | 2014-05-14 | 武汉拓宝电子系统有限公司 | H.265/HEVC transcoding method and transcoder based on H.264/AVC macro block structure and texture |
| CN104581170A (en) * | 2015-01-23 | 2015-04-29 | 四川大学 | Rapid inter-frame transcoding method for reducing video resolution based on HEVC |
| CN104837019A (en) * | 2015-04-30 | 2015-08-12 | 上海交通大学 | AVS-to-HEVC optimal video transcoding method based on support vector machine |
-
2016
- 2016-12-21 CN CN201611186074.4A patent/CN106791828B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20140086315A1 (en) * | 2012-09-25 | 2014-03-27 | Apple Inc. | Error resilient management of picture order count in predictive coding systems |
| CN103248893A (en) * | 2013-05-10 | 2013-08-14 | 四川大学 | Method for quick inter-frame transcoding from H. 264/AVC standard to HEVC standard and transcoder thereof |
| CN103475880A (en) * | 2013-09-11 | 2013-12-25 | 浙江大学 | Method for low-complexity video transcoding from H.264 to HEVC based on statistic analysis |
| CN103796023A (en) * | 2014-03-05 | 2014-05-14 | 武汉拓宝电子系统有限公司 | H.265/HEVC transcoding method and transcoder based on H.264/AVC macro block structure and texture |
| CN104581170A (en) * | 2015-01-23 | 2015-04-29 | 四川大学 | Rapid inter-frame transcoding method for reducing video resolution based on HEVC |
| CN104837019A (en) * | 2015-04-30 | 2015-08-12 | 上海交通大学 | AVS-to-HEVC optimal video transcoding method based on support vector machine |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108174208A (en) * | 2018-02-12 | 2018-06-15 | 杭州电子科技大学 | A kind of efficient video coding method of feature based classification |
| TWI743919B (en) * | 2020-08-03 | 2021-10-21 | 緯創資通股份有限公司 | Video processing apparatus and processing method of video stream |
| US11363298B2 (en) | 2020-08-03 | 2022-06-14 | Wiston Corporation | Video processing apparatus and processing method of video stream |
| US11880966B2 (en) | 2020-08-03 | 2024-01-23 | Wistron Corporation | Image quality assessment apparatus and image quality assessment method thereof |
| CN114422797A (en) * | 2021-12-28 | 2022-04-29 | 重庆邮电大学 | H.264-H.265 transcoding method based on time-dependent rate distortion optimization |
| CN114501026A (en) * | 2022-02-17 | 2022-05-13 | 北京百度网讯科技有限公司 | Video encoding method, device, equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN106791828B (en) | 2019-05-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN103248893B (en) | From H.264/AVC standard to code-transferring method and transcoder thereof the fast frame of HEVC standard | |
| CN106791828A (en) | High performance video code-transferring method and its transcoder based on machine learning | |
| CN109688414B (en) | VVC intra-frame coding unit candidate prediction mode reduction and block division early termination method | |
| US9955182B2 (en) | Method and apparatus for encoding a motion vector, and method and apparatus for encoding/decoding image using same | |
| CN104023233B (en) | Fast inter-frame prediction method of HEVC (High Efficiency Video Coding) | |
| CN103327328B (en) | Picture coding device and picture decoding apparatus | |
| CN102984521B (en) | High-efficiency video coding inter-frame mode judging method based on temporal relativity | |
| RU2559738C2 (en) | Method and device for encoding/decoding of motion vector | |
| CN104754357B (en) | Intraframe coding optimization method and device based on convolutional neural networks | |
| CN104038764B (en) | A kind of H.264 arrive video transcoding method H.265 and transcoder | |
| CN105959611B (en) | A kind of the interframe fast transcoding method and device of adaptive slave H264 to HEVC | |
| CN105430407A (en) | Fast inter-frame mode decision methods applied to transcoding from H.264 to HEVC | |
| CN103546749B (en) | Method for optimizing HEVC (high efficiency video coding) residual coding by using residual coefficient distribution features and bayes theorem | |
| CN104581170B (en) | The method of quick interframe transcoding based on HEVC drop video resolutions | |
| KR20100105730A (en) | Method, device and system for interframe prediction encoding and decoding | |
| CN102640495A (en) | Motion vector encoding/decoding method and device and image encoding/decoding method and device using same | |
| CN107027029A (en) | High-performance video coding improved method based on frame rate conversion | |
| CN102187668B (en) | Method and device for encoding image or image sequence and decoding method and device | |
| CN107087200A (en) | Coding mode advance decision method is skipped for high efficiency video encoding standard | |
| CN105898332B (en) | For the fast deep figure frame mode decision method of 3D-HEVC coding standards | |
| CN107018412B (en) | A kind of DVC-HEVC video transcoding method based on key frame coding unit partition mode | |
| CN103442228B (en) | Code-transferring method and transcoder thereof in from standard H.264/AVC to the fast frame of HEVC standard | |
| CN107079165A (en) | Use the method for video coding and device of prediction residual | |
| CN102158709A (en) | Derivable motion compensation prediction method of decoding terminal | |
| CN103546758A (en) | Rapid depth map sequence interframe mode selection fractal coding method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |