CN109660811B - Rapid HEVC inter-frame coding method - Google Patents

Rapid HEVC inter-frame coding method Download PDF

Info

Publication number
CN109660811B
CN109660811B CN201811540856.2A CN201811540856A CN109660811B CN 109660811 B CN109660811 B CN 109660811B CN 201811540856 A CN201811540856 A CN 201811540856A CN 109660811 B CN109660811 B CN 109660811B
Authority
CN
China
Prior art keywords
block
mode
pixel search
executing
nx2n
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.)
Active
Application number
CN201811540856.2A
Other languages
Chinese (zh)
Other versions
CN109660811A (en
Inventor
廖义
李日
谢亚光
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.)
Hangzhou Arcvideo Technology Co ltd
Original Assignee
Hangzhou Arcvideo Technology 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 Hangzhou Arcvideo Technology Co ltd filed Critical Hangzhou Arcvideo Technology Co ltd
Priority to CN201811540856.2A priority Critical patent/CN109660811B/en
Publication of CN109660811A publication Critical patent/CN109660811A/en
Application granted granted Critical
Publication of CN109660811B publication Critical patent/CN109660811B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/102Methods 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
    • H04N19/103Selection of coding mode or of prediction mode
    • H04N19/109Selection of coding mode or of prediction mode among a plurality of temporal predictive coding modes
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/10Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using adaptive coding
    • H04N19/134Methods 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
    • H04N19/146Data rate or code amount at the encoder output
    • H04N19/147Data rate or code amount at the encoder output according to rate distortion criteria
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N19/00Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
    • H04N19/50Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
    • H04N19/503Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal prediction
    • H04N19/51Motion estimation or motion compensation

Abstract

The invention discloses a fast HEVC inter-frame coding method. Whether motion estimation is terminated in advance is judged by obtaining the result of integer pixel search of a Pb1 block in Rect mode prediction, wherein the early termination of motion estimation refers to the following steps: and when the integer pixel search of the Pb1 block is completed, judging whether the integer pixel motion vector of the Pb1 block is consistent with the motion vector trend of Pb0, if so, judging that the current prediction mode belongs to invalid calculation, and skipping the sub-pixel search of the Pb1 block. The invention has the beneficial effects that: the sub-pixel search time of the Pb1 block is saved, so that a large amount of invalid calculation is avoided, and the overall coding speed is improved.

Description

Rapid HEVC inter-frame coding method
Technical Field
The invention relates to the technical field related to video coding, in particular to a fast HEVC inter-frame coding method.
Background
The compression efficiency of the new generation video coding standard HEVC is improved by 50% compared with the compression efficiency of the previous generation video coding standard H.264, a large amount of network bandwidth can be saved under the condition of providing the same video quality, and the video coding standard HEVC is very suitable for popularization of video contents such as 4K and 3D blue light.
The basic premise of video coding compression is that correlation exists among pixels, data of a plurality of adjacent pixels in a frame of image are similar or identical, namely spatial redundancy, data of adjacent frames in the video also exist in a plurality of similarities or repetitions, namely temporal redundancy, coding compression is to remove redundant information in the data, intra-frame prediction technology can remove spatial redundancy, and inter-frame prediction technology can remove temporal redundancy.
The inter-frame prediction divides a frame of image into a plurality of coding blocks by using the correlation existing between adjacent frames, searches out the corresponding matching block of each block in the adjacent frames, calculates the relative offset of the spatial position between the two blocks, obtains the relative offset as MV (Motion Vector), and obtains the MV, which is called as Motion estimation. The motion estimation mainly comprises two steps of integer pixel search and sub-pixel search, wherein the integer pixel search searches out an optimal matching block constructed by taking pixel points as units in a reference frame, the sub-pixel search constructs virtual sub-pixel points by utilizing pixel interpolation after the integer pixel MV is determined, and then the optimal matching block is searched. Therefore, the sub-pixel search can search out more accurate matching blocks in the reference frame, but the searching times are more, the complexity is higher, and the sub-pixel search time accounts for more than 60% of the whole motion estimation.
HEVC divides each frame of image into several CUs (Coding units), and recursively processes the CUs in a quadtree form, sequentially traversing 4 levels of CUs, i.e., 64x64, 32x32, 16x16, and 8x 8. When each layer of CU is coded, the inter prediction sequentially traverses inter modes such as Skip, Merge, 2Nx2N, and Rect (2NxN and Nx2N)) and two Intra modes such as Intra2Nx2N and IntraNxN, and selects a mode with the minimum rate-distortion cost as the optimal prediction mode, where the rate-distortion cost RDcost is calculated as:
RDcost=λ·R+D
where λ is the lagrangian factor, R represents the number of coded bits, and D represents the distortion of the coded prediction value relative to the original video data value.
Among the prediction modes, 2Nx2N and the Rect prediction mode are very complicated in computation because matching blocks in a reference frame need to be found by motion estimation. The Rect prediction mode is a further division of the 2Nx2N block, for example, the Nx2N prediction mode is to divide 2Nx2N into two blocks with different MVs on the left and right, and the 2NxN prediction mode is to divide 2Nx2N into two blocks with different MVs on the top and bottom, and the left and right (or top and bottom) blocks can be referred to as Pb0 block and Pb1 block, respectively. If the MV of the Pb0 block and the MV of the Pb1 block are the same, the Rect prediction result is the same as the 2Nx2N mode, but more bits are needed to encode the MV and the partition mode, so the rate-distortion cost of the Rect prediction mode is almost certainly greater than that of the 2Nx2N, and the calculation of Rect belongs to invalid calculation, and the traditional method cannot effectively avoid the invalid calculation.
Disclosure of Invention
The invention provides a fast HEVC inter-frame coding method which avoids invalid calculation and improves coding speed in order to overcome the defects in the prior art.
In order to achieve the purpose, the invention adopts the following technical scheme:
a fast HEVC inter-frame coding method comprises the following specific implementation steps:
(1) when each CU starts the inter mode selection, performing integer pixel search and fractional pixel search on a prediction block of a2Nx2N mode, determining a final MV and a matching block, solving a rate distortion cost which is marked as cost _2Nx2N, and executing the step (2);
(2) carrying out integer pixel search and sub-pixel search on a Pb0 block in an Nx2N mode, obtaining a motion vector marked as mv00, and executing the step (3);
(3) carrying out integer pixel search on a Pb1 block in an Nx2N mode, obtaining an integer pixel motion vector which is marked as mv01, if | mv00-mv01| < TH1 is met, terminating motion estimation in advance, marking a rate distortion cost _ Nx2N of an Nx2N mode as infinity, and executing a step (4); otherwise, continuing to perform pixel-by-pixel search on the Pb1 block, determining a final MV and a matching block, solving a rate-distortion cost _ Nx2N, and executing the step (4);
(4) carrying out integer pixel search and fractional pixel search on a Pb0 block in a 2NxN mode, solving a motion vector which is marked as mv10, and executing the step (5);
(5) carrying out integer pixel search on a Pb1 block in a 2NxN mode, obtaining an integer pixel motion vector which is marked as mv11, if | mv10-mv11| < TH1, terminating motion estimation in advance, marking a rate distortion cost _2NxN of the 2NxN mode as infinity, and executing a step (6); otherwise, continuing to perform pixel-division searching on the Pb1 block, determining a final MV and a matching block, solving a rate-distortion cost _2NxN, and executing the step (6);
(6) the cost _ Nx2N is compared with cost _2NxN and cost _2Nx2N, and the pattern having the minimum value is selected as the optimum pattern.
The existing HEVC coding method is computationally complex, the Rect mode occupies 40% of the time, and the motion estimation occupies 90% of the time in the mode. In the conventional method, when Skip, Merge, 2Nx2N and the Rect mode are traversed, the Rect mode prediction result is the same as the 2Nx2N mode prediction result, and a large amount of invalid calculation is caused. The method judges whether to terminate motion estimation in advance by obtaining the result of integer pixel search of a Pb1 block in Rect mode prediction, wherein the motion estimation termination in advance refers to the following steps: after the whole pixel search of the Pb1 block is completed, whether the whole pixel motion vector of the Pb1 block is consistent with the motion vector trend of the Pb0 is judged, if so, the current prediction mode is judged to belong to invalid calculation, and the sub-pixel search of the Pb1 block is skipped, so that the sub-pixel search time of the Pb1 block is saved, a large amount of invalid calculation is avoided, and the overall coding speed is improved.
Preferably, in the step (3) and the step (5), TH1 is a constant and has a value range of 0-5. The accuracy of the early termination motion estimation in the step (3) and the step (5) is related to the selection of the TH1 value, specifically referring to table 1, and the optimal mode determined by using the method is the same as the optimal mode determined by using the conventional method, that is, the early termination motion estimation is considered to be accurate.
The invention has the beneficial effects that: whether motion estimation is terminated in advance is judged by obtaining the result of searching the whole pixels of the Pb1 block in the Rect mode prediction, so that the sub-pixel searching time of the Pb1 block is saved, a large amount of invalid calculation is avoided, and the whole coding speed is improved.
Drawings
FIG. 1 is a flow chart of the present invention.
Detailed Description
The invention is further described with reference to the following figures and detailed description.
In the embodiment shown in fig. 1, a fast HEVC inter-frame coding method includes the following specific steps:
(1) when each CU starts the inter mode selection, performing integer pixel search and fractional pixel search on a prediction block of a2Nx2N mode, determining a final MV and a matching block, solving a rate distortion cost which is marked as cost _2Nx2N, and executing the step (2);
(2) carrying out integer pixel search and sub-pixel search on a Pb0 block in an Nx2N mode, obtaining a motion vector marked as mv00, and executing the step (3);
(3) carrying out integer pixel search on a Pb1 block in an Nx2N mode, obtaining an integer pixel motion vector which is marked as mv01, if | mv00-mv01| < TH1 is met, terminating motion estimation in advance, marking a rate distortion cost _ Nx2N of an Nx2N mode as infinity, and executing a step (4); otherwise, continuing to perform pixel-by-pixel search on the Pb1 block, determining a final MV and a matching block, solving a rate-distortion cost _ Nx2N, wherein TH1 is a constant and the value range is 0-5, and executing the step (4);
(4) carrying out integer pixel search and fractional pixel search on a Pb0 block in a 2NxN mode, solving a motion vector which is marked as mv10, and executing the step (5);
(5) carrying out integer pixel search on a Pb1 block in a 2NxN mode, obtaining an integer pixel motion vector which is marked as mv11, if | mv10-mv11| < TH1, terminating motion estimation in advance, marking a rate distortion cost _2NxN of the 2NxN mode as infinity, and executing a step (6); otherwise, continuing to perform pixel-by-pixel search on the Pb1 block, determining a final MV and a matching block, solving a rate-distortion cost _2NxN, wherein TH1 is a constant and the value range is 0-5, and executing the step (6);
(6) the cost _ Nx2N is compared with cost _2NxN and cost _2Nx2N, and the pattern having the minimum value is selected as the optimum pattern.
Wherein: the accuracy of the early termination motion estimation in the step (3) and the step (5) is related to the selection of the TH1 value, specifically referring to table 1, and the optimal mode determined by using the method is the same as the optimal mode determined by using the conventional method, that is, the early termination motion estimation is considered to be accurate.
The existing HEVC coding method is computationally complex, the Rect mode occupies 40% of the time, and the motion estimation occupies 90% of the time in the mode. In the conventional method, when Skip, Merge, 2Nx2N and the Rect mode are traversed, the Rect mode prediction result is the same as the 2Nx2N mode prediction result, and a large amount of invalid calculation is caused. The method judges whether to terminate motion estimation in advance by obtaining the result of integer pixel search of a Pb1 block in Rect mode prediction, wherein the motion estimation termination in advance refers to the following steps: after the whole pixel search of the Pb1 block is completed, whether the whole pixel motion vector of the Pb1 block is consistent with the motion vector trend of the Pb0 is judged, if so, the current prediction mode is judged to belong to invalid calculation, and the sub-pixel search of the Pb1 block is skipped, so that the sub-pixel search time of the Pb1 block is saved, a large amount of invalid calculation is avoided, and the overall coding speed is improved. The magnitude of the increase in coding speed is related to the selection of TH1 value, and can be referred to table 1.
TABLE 1 influence of the selection of TH1 values on accuracy and coding results
TH1 Rate of accuracy Code rate of coding Coding speed
3 88% +0.09% +9%
4 86% +0.10% +10%
5 82% +0.11% +12%

Claims (2)

1. A fast HEVC inter-frame coding method is characterized by comprising the following specific implementation steps:
(1) when each CU starts the inter mode selection, performing integer pixel search and fractional pixel search on a prediction block of a2Nx2N mode, determining a final MV and a matching block, solving a rate distortion cost which is marked as cost _2Nx2N, and executing the step (2); wherein, CU is a coding unit, and MV is a motion vector;
(2) carrying out integer pixel search and sub-pixel search on a Pb0 block in an Nx2N mode, obtaining a motion vector marked as mv00, and executing the step (3); the Nx2N prediction mode is to divide the 2Nx2N block into two blocks with different MVs, namely a Pb0 block and a Pb1 block;
(3) carrying out integer pixel search on a Pb1 block in an Nx2N mode, obtaining an integer pixel motion vector which is marked as mv01, if | mv00-mv01| < TH1, terminating motion estimation in advance, marking a rate distortion cost _ Nx2N of an Nx2N mode as infinity, and executing a step (4); otherwise, continuing to perform pixel-by-pixel search on the Pb1 block, determining a final MV and a matching block, solving a rate-distortion cost _ Nx2N, and executing the step (4); wherein TH1 is a constant;
(4) carrying out integer pixel search and fractional pixel search on a Pb0 block in a 2NxN mode, solving a motion vector which is marked as mv10, and executing the step (5);
(5) carrying out integer pixel search on a Pb1 block in a 2NxN mode, obtaining an integer pixel motion vector which is marked as mv11, if | mv10-mv11| < TH1, terminating motion estimation in advance, marking a rate distortion cost _2NxN of the 2NxN mode as infinity, and executing a step (6); otherwise, continuing to perform pixel-division searching on the Pb1 block, determining a final MV and a matching block, solving a rate-distortion cost _2NxN, and executing the step (6);
(6) the cost _ Nx2N is compared with cost _2NxN and cost _2Nx2N, and the pattern having the minimum value is selected as the optimum pattern.
2. The fast HEVC inter-frame coding method as recited in claim 1, wherein in step (3) and step (5), TH1 is in a range of 0-5.
CN201811540856.2A 2018-12-17 2018-12-17 Rapid HEVC inter-frame coding method Active CN109660811B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811540856.2A CN109660811B (en) 2018-12-17 2018-12-17 Rapid HEVC inter-frame coding method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811540856.2A CN109660811B (en) 2018-12-17 2018-12-17 Rapid HEVC inter-frame coding method

Publications (2)

Publication Number Publication Date
CN109660811A CN109660811A (en) 2019-04-19
CN109660811B true CN109660811B (en) 2020-09-18

Family

ID=66113779

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811540856.2A Active CN109660811B (en) 2018-12-17 2018-12-17 Rapid HEVC inter-frame coding method

Country Status (1)

Country Link
CN (1) CN109660811B (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110730344B (en) * 2019-09-18 2022-04-19 浙江大华技术股份有限公司 Video coding method and device and computer storage medium
CN111479115B (en) * 2020-04-14 2022-09-27 腾讯科技(深圳)有限公司 Video image processing method and device and computer readable storage medium
CN112738529B (en) * 2020-12-23 2023-07-07 北京百度网讯科技有限公司 Inter prediction method, device, apparatus, storage medium, and program product

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101795409B (en) * 2010-03-03 2011-12-28 北京航空航天大学 content adaptive fractional pixel motion estimation method
CN103414899B (en) * 2013-08-16 2016-05-25 武汉大学 A kind of method for estimating of Video coding
CN106658024B (en) * 2016-10-20 2019-07-16 杭州当虹科技股份有限公司 A kind of quick method for video coding
CN106534849B (en) * 2016-12-30 2019-07-16 杭州当虹科技股份有限公司 A kind of quick HEVC inter-frame encoding methods

Also Published As

Publication number Publication date
CN109660811A (en) 2019-04-19

Similar Documents

Publication Publication Date Title
CN108347616B (en) Depth prediction method and device based on optional time domain motion vector prediction
CN113170181B (en) Affine inheritance method in intra-block copy mode
CN110249628B (en) Video encoder and decoder for predictive partitioning
EP4351139A2 (en) Video encoding/decoding method and device, and recording medium storing bit stream
US20240056602A1 (en) Image encoding/decoding method and apparatus for throughput enhancement, and recording medium storing bitstream
CN116962717A (en) Image encoding/decoding method, storage medium, and transmission method
US20190281285A1 (en) Encoding method and device therefor, and decoding method and device therefor
CN109660811B (en) Rapid HEVC inter-frame coding method
CN111527752B (en) Method and apparatus for encoding and decoding image and recording medium storing bit stream
TW201640894A (en) Overlapped motion compensation for video coding
CN110024394A (en) The recording medium of method and apparatus and stored bits stream to encoding/decoding image
CN103079070A (en) Video encoder
CN107360419B (en) A kind of movement forward sight video interprediction encoding method based on perspective model
CN103327327B (en) For the inter prediction encoding unit selection method of high-performance video coding HEVC
CN104704832A (en) Image processing method and apparatus for predicting motion vector and disparity vector
CN112055203A (en) Inter-frame prediction method, video coding method and related devices thereof
CN104333755B (en) The CU based on SKIP/Merge RD Cost of B frames shifts to an earlier date terminating method in HEVC
CN109547798B (en) Rapid HEVC inter-frame mode selection method
CN107613305B (en) P, B frame rapid motion estimation method in HEVC
WO2019085636A1 (en) A video image processing method and device
CN113841399A (en) Image encoding/decoding method and apparatus
CN109040756B (en) HEVC image content complexity-based rapid motion estimation method
CN110139098A (en) Fast algorithm selection method in high efficiency video encoder frame based on decision tree
KR101545195B1 (en) Apparatus and method for fast Intra Prediction Algorithm
Guan et al. VVC fast ME algorithm based on spatial texture features and time correlation

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