CN104837015B - Low latency coding adaptation QP Offset adjusting methods - Google Patents
Low latency coding adaptation QP Offset adjusting methods Download PDFInfo
- Publication number
- CN104837015B CN104837015B CN201510217441.1A CN201510217441A CN104837015B CN 104837015 B CN104837015 B CN 104837015B CN 201510217441 A CN201510217441 A CN 201510217441A CN 104837015 B CN104837015 B CN 104837015B
- Authority
- CN
- China
- Prior art keywords
- mrow
- msubsup
- msub
- offset
- frame
- 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.)
- Expired - Fee Related
Links
Abstract
The invention discloses a kind of low latency coding adaptation QP Offset adjusting methods, belong to technical field of video coding, be related to a kind of adaptive QP Offset adjusting methods under low latency (low delay, LD) coding structure.The present invention considers video source motion intense degree QP Offset allocation strategy, information source distortion time domain propagation chain is constructed first, then the severe degree that current encoded frame moves and the influence to next code frame are calculated by source distortion statistical, finally provides the QP Offset values of adaptive current encoded frame.
Description
Technical field
The invention belongs to technical field of video coding.Specifically, it is to be related to encode in low latency (low-delay, LD)
A kind of adaptive QP Offset adjusting methods under structure.In the case where there is maximum QP Offset restrictive conditions, target of the invention
It is by adaptive regulation method, and then provides frame coded quantization parameter (QP) value, lifts coding efficiency.
Background technology
It is most of all to be set using the QP Offset of layering to be encoded at present in the video encoder of main flow.It is this
Empirically value sets and not changed in an encoding process the QP Offset of layering in an encoding process.In video
In cataloged procedure, the picture frame of motion intense influences to be far smaller than when moving slow to subsequent image frames in information source content
Situation, therefore the picture frame of motion intense should distribute larger QP Offset, move slow picture frame should distribute it is smaller
QP Offset.Layering QP Offset technologies that are presetting and maintaining a fixed value unchanged do not account for video source content
Change, will cause the reduction of coding efficiency.Therefore, the motion intense degree of video source is different, the quantization parameter QP for coding
Also should difference.
For the above situation, in order to lift coding efficiency, solve non-self-adapting present in layering QP Offset technologies and ask
Topic, The present invention gives a kind of adaptive QP Offset adjusting methods for low latency coding.The inventive method is by video source
The intensity of variation of content is considered in the QP Offset regulations of layering.
The content of the invention
The present invention considers video source motion intense degree QP Offset allocation strategy, constructs information source first
Distortion time domain propagation chain, then by source distortion statistical come calculate current encoded frame move severe degree and to next code
The influence of frame, finally provide the QP Offset values of adaptive current encoded frame.The technical solution adopted by the present invention is as follows：
1. the estimation of frame level source distortion
In an encoding process, coding unit is using primitive frame as reference frame, the mean square deviation of the residual error obtained after estimating motion, note
It is source movement compensating distortion DOMCP.According to whole coding unit Ut,iPixel value Ft,i, calculate coding unit Ut,iSource distortion
Wherein, t represents the present encoding moment, and i represents that a two field picture splits blocking block designation.
The calculating of formula (1) can directly utilize interframe movement estimation algorithm.Without loss of generality, full searching can be used,
Also fast search algorithm such as hexagon method, diamond method etc. can be used.
Because adaptive QP Offset adjusting methods are for frame level, and coding unit Ut,iSource distortionIt is
For coding unit, it is therefore desirable to which the source distortion of coding unit is converted into frame level source distortion.According to coding unit Ut,i's
Source distortionThe frame level source distortion at coding moment t is calculated
Wherein, M is all coding unit numbers in t frames.
2.QP Offset automatic adjusuments
Video source motion intense degree is considered in adaptive QP Offset adjusting methods, lost according to frame level source
VeryIt is estimated that the severe degree of current frame motion.Utilize formula (3)
The motion intense degree of current t frames is calculated, uses mtRepresent.
According to exercise intensity mt, calculate shown in its differential term such as formula (4),
Calculate shown in its integral term such as formula (5),
Wherein l is GOP length, and generally value is 4 in low-delay codings；W is the length of sliding window, preferably
Add 1 for its GOP length l.
To the motion intense degree m of present frametHandled, utilize formula
QP Offset increment is calculated, so as to carry out automatic adjusument to the QP Offset of every frame.Wherein, Δ
QPt offsetRepresent QP Offset increments.F is scale factor, and the f value spans of key frame (t divides exactly GOP length) are in section
In [120,240], it is 180 generally to give tacit consent to value；Non-key frame f value span is generally given tacit consent in section [70,140]
Value is 105.
According to QP Offset increment Deltas QPt offset, utilize formula (7)
Calculate the QP Offset of present frame.
The QP Offset maximums that different coding device provides in advance are different, with max { QPoffsetThe default pole of presentation code device
Big QP Offset values.The value is 3 in HEVC, and the value is 5 in AVS-2.For being consistent property, it is necessary to by after regulation
QP Offset limitation max { QPoffsetWithin and be bundled in reasonable interval, as shown in formula (8).
Moment t is being encoded, the QP of present frame, the coding for present frame are calculated using formula (9).
QPt=QPbase+QPt offset (9)
Wherein, QPbaseThe default benchmark QP values of presentation code device, generally it is exactly first I- frames QP values.QPtRepresent that t is used for
The QP values of coding.
Brief description of the drawings
Fig. 1 is the key step flow chart of the present invention；
Fig. 2 is position of the present invention in major video encoder frame；
Fig. 3 is operation result of the present invention under different cycle tests；
Fig. 4 is the logical sequencing row of AVS-2 and frame number；
Fig. 5 is BD-Rate performances of the invention in the logical survey of AVS-2 low latencies.
Embodiment
The invention will be further described with reference to the accompanying drawings and examples, and embodiments of the present invention include but is not limited to
The following example.
Fig. 1 is the key step flow chart of adaptive QP Offset adjusting methods, is specifically included：
Step 101：The source distortion of coding unit calculates.Extract all coding unit U of present framet,iPixel value Ft,i, profit
Use formula
Calculate the source distortion of all coding units of present frame
Step 102：Frame level motion compensation distortion is estimated.The source of all coding units of present frame obtained according to step 101
DistortionUtilize formula
Calculate frame level motion compensation distortion
Step 103：Motion intense strength estimation.The frame level motion compensation distortion calculated according to step 102, utilizes formula
Estimate the exercise intensity m of present framet, and new mtWrite into sliding window, for updating in sliding window
Data.
Step 104：QP Offset incremental computations.Sliding window size w=5 is read, takes out w data m in windowt,
mt-1,…,mt-w, the GOP length l=4 under LD patterns are read, according to formula
Respectively obtain exercise intensity mtDifferential term and integral term.Combine the empirical value f read, utilize formula
Calculate QP Offset increment Deltas QPt offset。
Step 105：QP Offset automatic adjusuments.The Δ QP obtained according to step 104t offsetIt is default with encoder
QP Offset, utilize formula
Calculate the QP Offset after adjustment.The default maximum QP Offset of encoder are read, utilize formula
QP Offset are limited in max { QPoffsetWithin and be bundled in reasonable interval.
Step 106：Calculate QP values.The QP obtained according to step 105t offsetWith the default QP of encoderbase, utilize formula
QPt=QPbase+QPt offset
Calculate QPt, encoded for t frames.
The present invention has been realized integrated and interface is provided in a manner of dynamic link, and it is in major video encoder frame
Position is as shown in Figure 2.In order to illustrate the overall performance of the present invention, by taking AVS-2 (10.1 version) encoder as an example, can directly adjust
With interface of the present invention, QP Offset automatic adjusuments are realized.
The logical survey condition formulated according to AVS-2, cycle tests is as shown in figure 4, the QP Offset automatic adjusuments of the present invention
Method is implemented under LDP configurations, and the standard configuration testing under 27,32,38,45 4 measuring points.Test result such as Fig. 5 institutes
Show, BD-Rate represents the relation between bit rate and distortion, and it is a percentages, and its value is that negative indication reaches identical
Visual quality, the ratio that bit rate is saved, for the positive ratio for representing bit rate and excessively consuming.From figure 5 it can be seen that this hair
After bright QP Offset automatic adjusuments function is opened, BD-Rate obtains obvious gain under LDP coding structures.
Fig. 3 is operation result of the present invention under different cycle tests.X- axial coordinates represent the time that video image plays
Scale, Y- axles represent QP Offset values.It can be seen that QP Offset values can change with the change of video source contents, show
QP Offset adjusting methods of the present invention possess very strong adaptive ability.
Claims (5)
1. a kind of low latency coding adaptation QP Offset adjusting methods, it is characterised in that comprise the following steps：
Step 1: the estimation of frame level source distortion
In an encoding process, coding unit the mean square deviation of the residual error obtained after estimating motion, is denoted as source using primitive frame as reference frame
Motion compensation distortion DOMCP；According to whole coding unit Ut,iPixel value Ft,i, calculate coding unit Ut,iSource distortion
<mrow>
<msubsup>
<mi>D</mi>
<mrow>
<mi>t</mi>
<mo>,</mo>
<mi>i</mi>
</mrow>
<mrow>
<mi>O</mi>
<mi>M</mi>
<mi>C</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>=</mo>
<mo>|</mo>
<mo>|</mo>
<msub>
<mi>F</mi>
<mrow>
<mi>t</mi>
<mo>,</mo>
<mi>i</mi>
</mrow>
</msub>
<mo>-</mo>
<msub>
<mi>F</mi>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>1</mn>
<mo>,</mo>
<mi>i</mi>
</mrow>
</msub>
<mo>|</mo>
<msup>
<mo>|</mo>
<mn>2</mn>
</msup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, t represents the present encoding moment, and i represents that a two field picture splits blocking block designation；
The source distortion of coding unit is converted into frame level source distortion, according to coding unit Ut,iSource distortionCalculate
To coding moment t frame level source distortion
<mrow>
<msubsup>
<mi>D</mi>
<mi>t</mi>
<mrow>
<mi>O</mi>
<mi>M</mi>
<mi>C</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>=</mo>
<mfrac>
<mn>1</mn>
<mi>M</mi>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mrow>
<mi>M</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</munderover>
<msubsup>
<mi>D</mi>
<mrow>
<mi>t</mi>
<mo>,</mo>
<mi>i</mi>
</mrow>
<mrow>
<mi>O</mi>
<mi>M</mi>
<mi>C</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>2</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, M is all coding unit numbers in t frames；
Step 2: QP Offset automatic adjusuments
Video source motion intense degree is considered in adaptive QP Offset adjusting methods, according to frame level source distortionIt is estimated that the severe degree of current frame motion, is utilized formula (3)
<mrow>
<msub>
<mi>m</mi>
<mi>t</mi>
</msub>
<mo>=</mo>
<mi>l</mi>
<mi>o</mi>
<mi>g</mi>
<mrow>
<mo>(</mo>
<msubsup>
<mi>D</mi>
<mi>t</mi>
<mrow>
<mi>O</mi>
<mi>M</mi>
<mi>C</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>)</mo>
</mrow>
<mo>=</mo>
<mi>l</mi>
<mi>o</mi>
<mi>g</mi>
<mrow>
<mo>(</mo>
<mfrac>
<mn>1</mn>
<mi>M</mi>
</mfrac>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mrow>
<mi>M</mi>
<mo>-</mo>
<mn>1</mn>
</mrow>
</munderover>
<msubsup>
<mi>D</mi>
<mrow>
<mi>t</mi>
<mo>,</mo>
<mi>i</mi>
</mrow>
<mrow>
<mi>O</mi>
<mi>M</mi>
<mi>C</mi>
<mi>P</mi>
</mrow>
</msubsup>
<mo>)</mo>
</mrow>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>3</mn>
<mo>)</mo>
</mrow>
</mrow>
The motion intense degree of current t frames is calculated, uses mtRepresent；
According to exercise intensity mt, calculate shown in its differential term such as formula (4),
<mrow>
<msub>
<mi>&delta;m</mi>
<mi>t</mi>
</msub>
<mo>=</mo>
<mfrac>
<mrow>
<msub>
<mi>dm</mi>
<mi>t</mi>
</msub>
</mrow>
<mrow>
<mi>d</mi>
<mi>t</mi>
</mrow>
</mfrac>
<mo>=</mo>
<msub>
<mi>m</mi>
<mi>t</mi>
</msub>
<mo>-</mo>
<msub>
<mi>m</mi>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mi>l</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>4</mn>
<mo>)</mo>
</mrow>
</mrow>
Calculate shown in its integral term such as formula (5),
<mrow>
<mo>&Integral;</mo>
<msub>
<mi>m</mi>
<mi>t</mi>
</msub>
<mo>=</mo>
<msubsup>
<mo>&Integral;</mo>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mi>w</mi>
</mrow>
<mi>t</mi>
</msubsup>
<msub>
<mi>m</mi>
<mi>i</mi>
</msub>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
<mi>w</mi>
</munderover>
<msub>
<mi>m</mi>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mi>i</mi>
</mrow>
</msub>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>5</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein l is GOP length, and w is the length of sliding window；
To the motion intense degree m of present frametHandled, utilize formula
<mrow>
<msubsup>
<mi>&Delta;QP</mi>
<mi>t</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>=</mo>
<mi>f</mi>
<mo>&CenterDot;</mo>
<mfrac>
<mrow>
<msub>
<mi>&delta;m</mi>
<mi>t</mi>
</msub>
</mrow>
<mrow>
<mo>&Integral;</mo>
<msub>
<mi>m</mi>
<mi>t</mi>
</msub>
</mrow>
</mfrac>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>6</mn>
<mo>)</mo>
</mrow>
</mrow>
QP Offset increment is calculated, so as to carry out automatic adjusument to the QP Offset of every frame；Wherein,Represent
QP Offset increments, f are scale factor；
According to QP Offset incrementsUtilize formula (7)
<mrow>
<msubsup>
<mi>QP</mi>
<mi>t</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>=</mo>
<msubsup>
<mi>QP</mi>
<mrow>
<mi>s</mi>
<mi>y</mi>
<mi>s</mi>
<mi>t</mi>
<mi>e</mi>
<mi>m</mi>
</mrow>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>+</mo>
<msubsup>
<mi>&Delta;QP</mi>
<mi>t</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>7</mn>
<mo>)</mo>
</mrow>
</mrow>
Calculate the QP Offset of present frame
The QP Offset maximums that different coding device provides in advance are different, with max { QPoffsetThe default very big QP of presentation code device
Offset values；By the QP Offset limitation max { QP after regulationoffsetWithin and be bundled in reasonable interval, as shown in formula (8)
<mrow>
<msubsup>
<mi>QP</mi>
<mi>t</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>=</mo>
<mfenced open = "{" close = "">
<mtable>
<mtr>
<mtd>
<mrow>
<mi>max</mi>
<mo>{</mo>
<msup>
<mi>QP</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msup>
<mo>}</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>t</mi>
<mi> </mi>
<mi>mod</mi>
<mn>2</mn>
<mo>=</mo>
<mn>1</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>c</mi>
<mi>l</mi>
<mi>i</mi>
<mi>p</mi>
<mi>s</mi>
<mo>{</mo>
<mn>1</mn>
<mo>,</mo>
<msubsup>
<mi>QP</mi>
<mi>t</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>,</mo>
<msubsup>
<mi>QP</mi>
<mrow>
<mi>t</mi>
<mo>-</mo>
<mn>2</mn>
</mrow>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>}</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>t</mi>
<mi> </mi>
<mi>mod</mi>
<mi> </mi>
<mi>l</mi>
<mo>=</mo>
<mn>0</mn>
</mrow>
</mtd>
</mtr>
<mtr>
<mtd>
<mrow>
<mi>c</mi>
<mi>l</mi>
<mi>i</mi>
<mi>p</mi>
<mi>s</mi>
<mo>{</mo>
<mn>2</mn>
<mo>,</mo>
<msubsup>
<mi>QP</mi>
<mi>t</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>,</mo>
<mi>max</mi>
<mo>{</mo>
<msup>
<mi>QP</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msup>
<mo>}</mo>
<mo>}</mo>
</mrow>
</mtd>
<mtd>
<mrow>
<mi>o</mi>
<mi>t</mi>
<mi>h</mi>
<mi>e</mi>
<mi>r</mi>
</mrow>
</mtd>
</mtr>
</mtable>
</mfenced>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>8</mn>
<mo>)</mo>
</mrow>
</mrow>
Moment t is being encoded, the QP of present frame, the coding for present frame are calculated using formula (9)
<mrow>
<msub>
<mi>QP</mi>
<mi>t</mi>
</msub>
<mo>=</mo>
<msub>
<mi>QP</mi>
<mrow>
<mi>b</mi>
<mi>a</mi>
<mi>s</mi>
<mi>e</mi>
</mrow>
</msub>
<mo>+</mo>
<msubsup>
<mi>QP</mi>
<mi>t</mi>
<mrow>
<mi>o</mi>
<mi>f</mi>
<mi>f</mi>
<mi>s</mi>
<mi>e</mi>
<mi>t</mi>
</mrow>
</msubsup>
<mo>-</mo>
<mo>-</mo>
<mo>-</mo>
<mrow>
<mo>(</mo>
<mn>9</mn>
<mo>)</mo>
</mrow>
</mrow>
Wherein, QPbaseThe default benchmark QP values of presentation code device, generally it is exactly first I- frames QP values；QPtRepresent that t is used to encode
QP values.
A kind of 2. low latency coding adaptation QPOffset adjusting methods as claimed in claim 1, it is characterised in that：Formula
(1) calculating utilizes interframe movement estimation algorithm, full searching or fast search algorithm.
A kind of 3. low latency coding adaptation QP Offset adjusting methods as claimed in claim 1, it is characterised in that：GOP's
Length value in low-delay codings is 4.
A kind of 4. low latency coding adaptation QP Offset adjusting methods as claimed in claim 1, it is characterised in that：It is crucial
For the span of frame f values in section [120,240], acquiescence value is 180；The span of non-key frame f values is in section
In [70,140], acquiescence value is 105.
A kind of 5. low latency coding adaptation QP Offset adjusting methods as claimed in claim 1, it is characterised in that：Slide
Window w value is preferably that its GOP length l adds 1.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510217441.1A CN104837015B (en) | 2015-04-30 | 2015-04-30 | Low latency coding adaptation QP Offset adjusting methods |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510217441.1A CN104837015B (en) | 2015-04-30 | 2015-04-30 | Low latency coding adaptation QP Offset adjusting methods |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104837015A CN104837015A (en) | 2015-08-12 |
| CN104837015B true CN104837015B (en) | 2017-11-17 |
Family
ID=53814619
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510217441.1A Expired - Fee Related CN104837015B (en) | 2015-04-30 | 2015-04-30 | Low latency coding adaptation QP Offset adjusting methods |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104837015B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111327895B (en) * | 2018-12-17 | 2022-05-24 | 深圳市中兴微电子技术有限公司 | Data processing method and device |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101668197A (en) * | 2009-09-18 | 2010-03-10 | 浙江大学 | Code rate control method in scalable video coding based on linear model |
| CN102742275A (en) * | 2010-06-15 | 2012-10-17 | 联发科技股份有限公司 | Apparatus and method of adaptive offset restoration for video coding |
| CN103167282A (en) * | 2011-12-16 | 2013-06-19 | 中国科学院沈阳自动化研究所 | Online updating method for image compression dynamic regulation |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9955152B2 (en) * | 2012-02-07 | 2018-04-24 | Sun Patent Trust | Image coding method and image decoding method |
-
2015
- 2015-04-30 CN CN201510217441.1A patent/CN104837015B/en not_active Expired - Fee Related
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101668197A (en) * | 2009-09-18 | 2010-03-10 | 浙江大学 | Code rate control method in scalable video coding based on linear model |
| CN102742275A (en) * | 2010-06-15 | 2012-10-17 | 联发科技股份有限公司 | Apparatus and method of adaptive offset restoration for video coding |
| CN103167282A (en) * | 2011-12-16 | 2013-06-19 | 中国科学院沈阳自动化研究所 | Online updating method for image compression dynamic regulation |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104837015A (en) | 2015-08-12 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR100484148B1 (en) | Advanced method for rate control and apparatus thereof | |
| CN103281530B (en) | HEVC bit rate control method based on rate-distortion optimization | |
| CN100574427C (en) | The control method of video code bit rate | |
| CN104469367B (en) | The video code rate control method adjusted based on frame losing and quantization parameter | |
| CN101552917B (en) | Bit rate control method for video compression | |
| ATE525858T1 (en) | TWO-PASS RATE CONTROL TECHNIQUES FOR VIDEO CODING USING RATE DISTORTION METERS | |
| CN102137258B (en) | Method for controlling three-dimensional video code rates | |
| WO2008042259A3 (en) | Method for rho-domain frame level bit allocation for effective rate control and enhanced video coding quality | |
| CN101895758B (en) | H.264 code rate control method based on frame complexity | |
| CN102932641A (en) | Constant quality code rate controlling method | |
| CN104754335B (en) | A kind of code rate controlling method for video coding | |
| EP2091040A4 (en) | A decoding method and device | |
| CN102148973A (en) | Three-layer rate control method based on Lagrange's multiplier factors | |
| CN103618906B (en) | A kind of H.264 bit rate control method of subjectively-based video quality | |
| CN102075784B (en) | Video quality assessment method under condition of comprehensively considering compression and packet loss impairment | |
| CN107454397A (en) | The image coding/decoding method and device of color space conversion are performed to predicted value | |
| CN102752591B (en) | H.264 code rate control method based on comprehensive factor | |
| CN104837015B (en) | Low latency coding adaptation QP Offset adjusting methods | |
| CN1332576A (en) | Quantization and code stream control method for image compressing transmission | |
| CN1434638A (en) | Method for controlling video coding bit rate | |
| CN103237221B (en) | A kind of H.264 frame layer rate control method of structure based likeness coefficient | |
| JP2007325262A (en) | Method of video compression | |
| CA2524809A1 (en) | Methods and apparatus for improving video quality in statistical multiplexing | |
| JP4104066B2 (en) | Video information multiple simultaneous encoding device | |
| TWI238664B (en) | Method and apparatus for compressing video data |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20171117 |
|
| CF01 | Termination of patent right due to non-payment of annual fee |