CN106888374B - A kind of 3 d video encoding method, apparatus and video processing equipment - Google Patents
A kind of 3 d video encoding method, apparatus and video processing equipment Download PDFInfo
- Publication number
- CN106888374B CN106888374B CN201510946403.XA CN201510946403A CN106888374B CN 106888374 B CN106888374 B CN 106888374B CN 201510946403 A CN201510946403 A CN 201510946403A CN 106888374 B CN106888374 B CN 106888374B
- Authority
- CN
- China
- Prior art keywords
- value
- quality
- viewpoint
- video
- image
- 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
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/30—Image reproducers
- H04N13/398—Synchronisation thereof; Control thereof
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N13/00—Stereoscopic video systems; Multi-view video systems; Details thereof
- H04N13/10—Processing, recording or transmission of stereoscopic or multi-view image signals
- H04N13/106—Processing image signals
- H04N13/161—Encoding, multiplexing or demultiplexing different image signal components
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N17/00—Diagnosis, testing or measuring for television systems or their details
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Biomedical Technology (AREA)
- General Health & Medical Sciences (AREA)
- Compression Or Coding Systems Of Tv Signals (AREA)
- Testing, Inspecting, Measuring Of Stereoscopic Televisions And Televisions (AREA)
Abstract
The present invention relates to 3 d video encoding technical field, a kind of 3 d video encoding method, apparatus and video processing equipment are disclosed.Original image and the corresponding reconstruction image that the present invention passes through acquisition left side viewpoint and the right viewpoint;According to the original image and corresponding reconstruction image of the left side viewpoint and the right viewpoint, the quality difference value of left side viewpoint and the right viewpoint is obtained;By the quality difference value, the video quality value of 3 d video images is obtained;According to the video quality value, code rate Controlling model is adjusted;Coded treatment is carried out by the code rate Controlling model adjusted, export three-dimensional code stream, allow 3 d video images according to the difference of left side viewpoint and the right viewpoint quality, adjust code rate Controlling model, to improve the quality of 3 d video images coding, it improves three-dimensional picture and shows quality, meet the needs of users.
Description
Technical field
The present invention relates to field of video processing, in particular to a kind of 3 d video encoding technology.
Background technique
In the prior art, 3 D video is usually gathered around there are two different view sequences;Described two different screen point sequences
Column are respectively used to left eye scene and right eye scene.Existing video evaluating method is usually the video for first assessing two viewpoints respectively
Quality, then again using the average value of the video quality assessment of described two viewpoints as final result.
The average value cannot accurately reflect the three of actual displayed as the image evaluation quality method of final result
Three-D video image quality.The reason for this is that this assessment fails to consider the balance of the mass value of two viewpoints.For example, two three-dimensional views
Frequency sequence average quality having the same;Wherein, two viewpoints of First ray, a view with good picture quality
Point, and another is the viewpoint of poor picture quality;There are two the viewpoints of similar mass for second sequence tool.Although average matter
Amount method shows two sequence quality having the same, but after the three-dimensional picture of actual displayed, what second sequence was shown
Three-dimensional picture shows better quality.Because First ray introduces two unbalanced viewpoints, so that the three-dimensional finally shown is whole
Image quality cannot be met the needs of users.
Summary of the invention
The purpose of the present invention is to provide a kind of 3 d video encoding method, apparatus and video processing equipments, so that three-dimensional
Video image can adjust code rate Controlling model, to improve three-dimensional view according to the difference of left side viewpoint and the right viewpoint quality
The quality of frequency image coding improves three-dimensional picture and shows quality, meets the needs of users.
In order to solve the above technical problems, embodiments of the present invention provide a kind of 3 d video encoding method, this method
Including:Obtain original image and the corresponding reconstruction image of left side viewpoint and the right viewpoint;
According to the original image and corresponding reconstruction image of the left side viewpoint and the right viewpoint, left side view is obtained
The quality difference value of point and the right viewpoint;
By the quality difference value, the video quality value of 3 d video images is obtained;
According to the video quality value, code rate Controlling model is adjusted;
Coded treatment is carried out by the code rate Controlling model adjusted, exports three-dimensional code stream.
Embodiments of the present invention additionally provide a kind of 3 d video encoding device, including:
Image acquisition unit, for obtaining the original image and corresponding reconstruction figure of left side viewpoint and the right viewpoint
Picture;
Difference acquiring unit, for the original image and corresponding weight according to the left side viewpoint and the right viewpoint
Image is built, the quality difference value of left side viewpoint and the right viewpoint is obtained;
Video quality acquiring unit, for obtaining the video quality value of 3 d video images by the quality difference value;
Adjustment unit, for adjusting code rate Controlling model according to the video quality value;
Coding processing unit exports three-dimension code for carrying out coded treatment by the code rate Controlling model adjusted
Stream.
Embodiments of the present invention additionally provide a kind of video processing equipment, including:3 d video encoding dress as described above
It sets.
Embodiment of the present invention in terms of existing technologies, passes through acquisition left side view-point image quality value and the right viewpoint
The quality difference value of image quality value enables the video quality value of 3 d video images more to objectively respond 3 d video images
Video quality value, improve the evaluation quality of the video quality value of 3 d video images;And then pass through the 3 D video figure again
The video quality value of picture adjusts code rate Controlling model in real time, so that the coding quality of 3 d video images improves.
In addition, the original image and corresponding reconstruction image according to the left side viewpoint and the right viewpoint,
The quality difference value step for obtaining left side viewpoint and the right viewpoint specifically includes:
Obtain original image and the corresponding reconstruction image of left side viewpoint and the right viewpoint;
According to the original image of the video point and corresponding reconstruction image, the picture quality of left side viewpoint is obtained
The image quality value of value and the right viewpoint;
According to described image mass value, the absolute value of the difference of the image quality value of left side viewpoint and the right viewpoint is obtained;Institute
The absolute value of the difference for stating mass value is the quality difference value.
In terms of existing technologies, the present invention passes through image quality value and the right of left side viewpoint to embodiment of the present invention
The image quality value of viewpoint obtains the absolute value of the difference of the image quality value of left side viewpoint and the right viewpoint;Described image quality
The absolute value of the difference of value is to lead in technical solution of the present invention for adjusting the important parameter of the video quality value of 3 d video images
Crossing the absolute value can make the video quality of 3 d video images more objectively respond 3 D video display quality.
In addition, this method further includes:
Obtain the weighting coefficient of the quality difference value;The weighting coefficient is according to the figure of the left side viewpoint and the right viewpoint
Image quality magnitude dynamic adjusts, for adjusting specific gravity of the quality difference value in the video quality value of the 3 d video images.
In terms of existing technologies, technical solution of the present invention is adjusted described of poor quality embodiment of the present invention by dynamic
The weighting coefficient of value, so that increasing the difference of the mass value of left side viewpoint and the right viewpoint in the video quality value of 3 d video images
Absolute value can be adjusted according to real video penetration quality dynamic, further increase the video quality value of 3 d video images
Evaluation quality, so that the video quality of 3 d video images, which more objectively responds 3 D video, shows quality.
Detailed description of the invention
Fig. 1 is a kind of 3 d video encoding method flow diagram that first embodiment of the invention provides;
Fig. 2 is a kind of 3 d video encoding side based on using Y-PSNR algorithm that second embodiment of the invention provides
Method flow chart;
Fig. 3 is a kind of 3 d video encoding method stream based on structural similarity algorithm that third embodiment of the invention provides
Cheng Tu;
Fig. 4 is a kind of 3 d video encoding apparatus structure schematic diagram that fourth embodiment of the invention provides;
Fig. 5 is the mankind of function wfunc () in a kind of 3 d video encoding method of first embodiment of the invention offer
Graph of relation between vision perception and PSNR value;
Fig. 6 is code rate control flow chart in a kind of 3 d video encoding method of first embodiment of the invention offer.
Specific embodiment
To make the object, technical solutions and advantages of the present invention clearer, below in conjunction with attached drawing to each reality of the invention
The mode of applying is explained in detail.However, it will be understood by those skilled in the art that in each embodiment of the present invention,
In order to make the reader understand this application better, many technical details are proposed.But even if without these technical details and base
In the various changes and modifications of following embodiment, each claim of the application technical side claimed also may be implemented
Case.
The first embodiment of the present invention is related to a kind of 3 d video encoding methods.Detailed process is as shown in Figure 1.This method
Including:
101:Obtain original image and the corresponding reconstruction image of left side video point and the right video point;
102:According to original image and the corresponding reconstruction image of the left side video point and the right video point, obtain
Take the quality difference value of left side viewpoint and the right viewpoint;The specific implementation process of the step quality difference value is:According to the video point
Original image and corresponding reconstruction image, obtain left side video point and the right video point image quality value;According to
Described image mass value obtains the absolute value of the difference of the mass value of the left side video point and the right video point;The mass value
Absolute value of the difference be the quality difference value;
103:By the quality difference value, the video quality value of 3 d video images is obtained;The step implements process
It further include the weighting coefficient for obtaining the quality difference value;The weighting coefficient is according to the image of the left side viewpoint and the right viewpoint
Mass value dynamic adjusts, for adjusting specific gravity of the quality difference value in the video quality value of the 3 d video images;
104:According to the video quality value, code rate Controlling model is adjusted;
105:Coded treatment is carried out by the code rate Controlling model adjusted, exports three-dimensional code stream.
Embodiment of the present invention in terms of existing technologies, passes through acquisition left side view-point image quality value and the right viewpoint
The quality difference value of image quality value enables the video quality value of 3 d video images more to objectively respond 3 d video images
Video quality value, improve the evaluation quality of the video quality value of 3 d video images;And then pass through the 3 D video figure again
The video quality value of picture adjusts code rate Controlling model in real time, so that the coding quality of 3 d video images improves.Wherein, institute
It states weighting coefficient to be adjusted according to the image quality value of the left side viewpoint and the right viewpoint dynamic, can also adjust described of poor quality
It is worth the specific gravity in the video quality value of the 3 d video images.
Based on above embodiments, second embodiment of the present invention is related to a kind of based on using the three of Y-PSNR algorithm
Method for video coding is tieed up, as shown in Fig. 2, the coding method uses 2-pass coding techniques, specific implementation flow is as follows:
S1:Obtain original image and the corresponding reconstruction image of left side video point and the right video point;
S2:According to the original image of the video point and corresponding reconstruction image, left side video point and the right side are obtained
The image quality value of side video point;
S3:According to described image mass value, the exhausted of the difference of the mass value of the left side video point and the right video point is obtained
To value;The absolute value of the difference of the mass value is the quality difference value;
S4:Obtain the weighting coefficient of the quality difference value;The weighting coefficient is according to the left side viewpoint and the right viewpoint
Image quality value dynamic adjust;Concretely, described add exactly is adjusted by the real image penetration quality dynamic of two viewpoints
Weight coefficient, " of poor quality " influences 3-D image total quality bring between quantitative expression viewpoint;
S5:By the quality difference value and weighting coefficient, the video quality value of 3 d video images is obtained;If 3 D video
The video quality value P of image;
P=PSNRaverage-W*PSNRdiffer
P indicates the video quality value based on the 3 d video images using Y-PSNR algorithm, PSNRaverageIndicate left
The average value of the image quality value of side viewpoint and the right viewpoint, PSNRdifferIndicate the of poor quality of left side viewpoint and the right viewpoint
Value, W indicate the weighting coefficient of the quality difference value.
When the 3 d video images include:When left side viewpoint and the right viewpoint;
The average value of the image quality value of the left side viewpoint and the right viewpoint is as follows:
The PSNRaverageIndicate the average value of the image quality value of the right and left viewpoint;The PSNRleftIndicate the left side
The image quality value of viewpoint, the PSNRrightIndicate the image quality value of the right viewpoint;
The absolute value of the difference PSNR of the mass value of the left side viewpoint and the right viewpointdifferIt is as follows:
PSNRdiffer=| PSNRleft-PSNRright|
Wherein, the image quality value PSNR of the left side viewpointleftWith the image quality value PSNR of the right viewpointright
Calculation formula it is as follows:
Wherein, xi,jValue and yi,jValue is the pixel value of the position (i, j) in the reconstruction image and original image;W is indicated
Picture traverse, h indicate picture altitude;
The weighting coefficient W of the quality difference value is as follows:
Wherein, wfunc () is determined by the relation curve between the vision perception and psnr value of the mankind, and the psnr value is
For the PSNRleftWith the PSNRright.The curve is illustrated in figure 5 one of which there are many solution, by a large amount of real
It tests obtained by result, specific function is referring to as follows:
Shown in wfunc (psnr) and Fig. 5 as above, if the psnr value of two viewpoints (i.e. left side viewpoint and the right viewpoint) exists
When between [28,36], " viewpoint is of poor quality " i.e. PSNRdifferMaximum influence can be brought to the video quality of 3 d video images;
And when the psnr value of two viewpoints between [- ∞, 16] between [60 ,+∞], i.e. single view itself quality " very poor " or " very
It is good " when, " viewpoint is of poor quality " i.e. PSNRdifferThe smallest influence is brought to the video quality of 3 d video images.
S6:According to the video quality value, code rate Controlling model is adjusted;
S7:Coded treatment is carried out by the code rate Controlling model adjusted, exports three-dimensional code stream.
It should be noted that code rate control of the code rate Controlling model described above in Video coding is as shown in Figure 6.It is described
Code rate control flow is:Target bit allocation is carried out for coding unit first, i.e., according to video content, buffer state and channel
Bandwidth is that coding unit distributes appropriate target bit;And then quantization parameter QP is independently determined for coding unit and realizes distribution
Target bits.
The minimum unit for possessing independent quantitative parameter in Video coding is usually macro block, i.e. code rate control can be each macro
Block determines different quantization parameters.Therefore, actual rate control algorithm can act on different coding unit grades, such as scheme
As group (GOP) grade, image (Frame) grade, piece (Slice) grade, macro block (Macroblock) grade etc., this is depended primarily on and target
The matching precision demand and rate control algorithm complexity of rate limit.The bit distribution of each level requires utilization rate distortion
Optimisation technique is that each coding unit distributes target bit.
It should also be noted that, encoder is using the view provided in technical solution of the present invention after completing to encode for the first time
Of poor quality between point to assess reconstruction image, the evaluation result obtained feeds back to encoder, readjusts the code rate control of encoder
Model, so as to distribute code rate more reasonablely, to realize better 3 d video images quality.
It should be noted for non real-time Video coding, such as file, the skill of 2-pass coding can also be used
Art, i.e., coding analyzes the code stream and reconstruction image of generation for the first time, and can be according to point of front when encoding for the second time
Analysis information is encoded again to optimize rate-distortion model, can effectively improve the quality of coding in this way.
Based on above embodiments, the present invention also provides a kind of 3 d video encoding method based on structural similarity algorithm,
As shown in figure 3, this method includes:
S1:Obtain original image and the corresponding reconstruction image of left side viewpoint and the right viewpoint;
S2:According to the original image of the video point and corresponding reconstruction image, the image of left side viewpoint is obtained
The image quality value of mass value and the right viewpoint;
S3:According to described image mass value, the absolute value of the difference of the image quality value of left side viewpoint and the right viewpoint is obtained;
The absolute value of the difference of the mass value is the quality difference value;
S4:Obtain the weighting coefficient of the quality difference value;The weighting coefficient is according to the left side viewpoint and the right viewpoint
Image quality value dynamic adjust, for adjusting ratio of the quality difference value in the video quality value of the 3 d video images
Weight.
S5:By the quality difference value and weighting coefficient, the video quality value of 3 d video images is obtained;If 3 D video
The video quality value S of image;
S=SSIMaverage-W*SSIMdiffer
S indicates the video quality value of the 3 d video images based on structural similarity algorithm, SSIMaverageIndicate left side view
The average structure index similarity of the image quality value of point and the right viewpoint, SSIMdifferIndicate left side viewpoint and the right viewpoint
Quality difference value, W indicate the weighting coefficient of the quality difference value.
S6:According to the video quality value, code rate Controlling model is adjusted;
S7:Coded treatment is carried out by the code rate Controlling model adjusted, exports three-dimensional code stream.
Based on above embodiments, the present invention also provides a kind of 3 d video encoding devices, as shown in figure 4, the device includes:
Image acquisition unit 401, for obtaining the original image and corresponding weight of left side viewpoint and the right viewpoint
Build image;
Difference acquiring unit 402, for according to the original image of the left side viewpoint and the right viewpoint and corresponding
Reconstruction image, obtain left side viewpoint and the right viewpoint quality difference value;
Video quality acquiring unit 403, for obtaining the video quality of 3 d video images by the quality difference value
Value;
Adjustment unit 404, for adjusting code rate Controlling model according to the video quality value;
Coding processing unit 405, for carrying out coded treatment by the code rate Controlling model adjusted, output is three-dimensional
Code stream.
In addition, the difference acquiring unit 402 is specifically used for obtaining the image quality value of left side viewpoint and the right viewpoint, and
According to described image mass value, the absolute value of the difference of the mass value of left side viewpoint and the right viewpoint is obtained;The difference of the mass value
Absolute value be the quality difference value.
It should be noted that the device further includes:
Coefficient acquiring unit, for obtaining the weighting coefficient of the quality difference value;The weighting coefficient is according to the left side
The image quality value of viewpoint and the right viewpoint dynamic adjusts.
In addition, the embodiment of the present invention also provides a kind of video processing equipment, including 3 d video encoding as described above dress
It sets.
It is noted that each module involved in present embodiment is logic module, and in practical applications, one
A logic unit can be a physical unit, be also possible to a part of a physical unit, can also be with multiple physics lists
The combination of member is realized.In addition, in order to protrude innovative part of the invention, it will not be with solution institute of the present invention in present embodiment
The technical issues of proposition, the less close unit of relationship introduced, but this does not indicate that there is no other single in present embodiment
Member.
It will be understood by those skilled in the art that the respective embodiments described above are to realize specific embodiments of the present invention,
And in practical applications, can to it, various changes can be made in the form and details, without departing from the spirit and scope of the present invention.
Claims (5)
1. a kind of 3 d video encoding method, which is characterized in that including:
Obtain original image and the corresponding reconstruction image of left side viewpoint and the right viewpoint;
According to the original image and corresponding reconstruction image of the left side viewpoint and the right viewpoint, the left side view is obtained
The quality difference value of point and the right viewpoint;
By the quality difference value, the video quality value of 3 d video images is obtained;
According to the video quality value, code rate Controlling model is adjusted;
Coded treatment is carried out by the code rate Controlling model adjusted, exports three-dimensional code stream;
Wherein, the original image and corresponding reconstruction image according to the left side viewpoint and the right viewpoint obtains
The quality difference value step of left side viewpoint and the right viewpoint specifically includes:
According to the original image and corresponding reconstruction image of the left side viewpoint and the right viewpoint, left side viewpoint is obtained
The image quality value of image quality value and the right viewpoint;
According to described image mass value, the absolute value of the difference of the image quality value of the left side viewpoint and the right viewpoint is obtained;Institute
The absolute value of the difference for stating mass value is the quality difference value;
Wherein, this method further includes:
Obtain the weighting coefficient of the quality difference value;The weighting coefficient is according to the image matter of the left side viewpoint and the right viewpoint
Magnitude dynamic adjusts, for adjusting specific gravity of the quality difference value in the video quality value of the 3 d video images;
Wherein, described by the quality difference value, in the step of obtaining the video quality value of 3 d video images, pass through following public
Formula obtains the video quality value of the 3 d video images:
P=PSNRaverage-W*PSNRdiffer
P indicates the video quality value based on the 3 d video images using Y-PSNR algorithm, PSNRaverageIndicate left side view
The average value of the image quality value of point and the right viewpoint, PSNRdifferIndicate the quality difference value of left side viewpoint and the right viewpoint, W table
Show the weighting coefficient of the quality difference value.
2. 3 d video encoding method according to claim 1, which is characterized in that the left side viewpoint and the right viewpoint
The average value of image quality value is as follows:
The PSNRaverageIndicate the average value of the image quality value of the right and left viewpoint;The PSNRleftIndicate left side viewpoint
Image quality value, the PSNRrightIndicate the image quality value of the right viewpoint;
The absolute value of the difference PSNR of the mass value of the left side viewpoint and the right viewpointdifferIt is as follows:
PSNRdiffer=| PSNRleft-PSNRright|
Wherein, the image quality value PSNR of the left side viewpointleftWith the image quality value PSNR of the right viewpointrightMeter
It is as follows to calculate formula:
Wherein, xi,jValue and yi,jValue is the pixel value of the position (i, j) in the reconstruction image and original image;W indicates image
Width, h indicate picture altitude;
The weighting coefficient W of the quality difference value is as follows:
Wherein, wfunc () indicates quality difference value determined by the relation curve between the vision perception and PSNR value as the mankind
Weighting function.
3. 3 d video encoding method according to claim 1, which is characterized in that it is described by the quality difference value, it obtains
In the step of taking the video quality value of 3 d video images, the video quality of the 3 d video images is obtained by following formula
Value:
S=SSIMaverage-W*SSIMdiffer
S indicates the video quality value of the 3 d video images based on structural similarity algorithm, SSIMaverageIndicate left side viewpoint and
The average structure index similarity of the image quality value of the right viewpoint, SSIMdifferIndicate the quality of left side viewpoint and the right viewpoint
Difference, W indicate the weighting coefficient of the quality difference value.
4. a kind of 3 d video encoding device, which is characterized in that including:
Image acquisition unit, for obtain left side viewpoint and the right viewpoint original image and corresponding reconstruction image;
Difference acquiring unit, for the original image and corresponding reconstruction figure according to the left side viewpoint and the right viewpoint
Picture obtains the quality difference value of left side viewpoint and the right viewpoint;
Video quality acquiring unit, for obtaining the video quality value of 3 d video images by the quality difference value;
Adjustment unit, for adjusting code rate Controlling model according to the video quality value;
Coding processing unit exports three-dimensional code stream for carrying out coded treatment by the code rate Controlling model adjusted;
Wherein, the difference acquiring unit is specifically used for obtaining the image quality value of left side viewpoint and the right viewpoint, and according to institute
Image quality value is stated, the absolute value of the difference of the mass value of left side viewpoint and the right viewpoint is obtained;The difference of the mass value it is absolute
Value is the quality difference value;
Wherein, which further includes:
Coefficient acquiring unit, for obtaining the weighting coefficient of the quality difference value;The weighting coefficient is according to the left side viewpoint
It is adjusted with the image quality value dynamic of the right viewpoint;
Wherein, the video quality acquiring unit is specifically used for, and the video of the 3 d video images is obtained by following formula
Mass value:
P=PSNRaverage-W*PSNRdiffer
P indicates the video quality value based on the 3 d video images using Y-PSNR algorithm, PSNRaverageIndicate left side view
The average value of the image quality value of point and the right viewpoint, PSNRdifferIndicate the quality difference value of left side viewpoint and the right viewpoint, W table
Show the weighting coefficient of the quality difference value.
5. a kind of video processing equipment, which is characterized in that including:3 d video encoding device as claimed in claim 4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510946403.XA CN106888374B (en) | 2015-12-16 | 2015-12-16 | A kind of 3 d video encoding method, apparatus and video processing equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510946403.XA CN106888374B (en) | 2015-12-16 | 2015-12-16 | A kind of 3 d video encoding method, apparatus and video processing equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN106888374A CN106888374A (en) | 2017-06-23 |
CN106888374B true CN106888374B (en) | 2018-11-20 |
Family
ID=59176062
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510946403.XA Active CN106888374B (en) | 2015-12-16 | 2015-12-16 | A kind of 3 d video encoding method, apparatus and video processing equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN106888374B (en) |
Families Citing this family (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109934322B (en) * | 2019-03-22 | 2020-08-07 | 地维码(福建)网络科技有限公司 | Dynamic three-dimensional code generation method, generation device, identification method and identification device |
CN111711810B (en) * | 2020-06-30 | 2021-06-22 | 福州大学 | Stereo video transmission method based on asymmetric code rate distribution |
CN112954348B (en) * | 2021-02-20 | 2024-04-02 | 浙江商汤科技开发有限公司 | Video encoding method and device, electronic equipment and storage medium |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101841726A (en) * | 2010-05-24 | 2010-09-22 | 宁波大学 | Three-dimensional video asymmetrical coding method |
CN102137258A (en) * | 2011-03-22 | 2011-07-27 | 宁波大学 | Method for controlling three-dimensional video code rates |
CN103136748A (en) * | 2013-01-21 | 2013-06-05 | 宁波大学 | Stereo-image quality objective evaluation method based on characteristic image |
CN103780895A (en) * | 2014-01-16 | 2014-05-07 | 天津大学 | Stereoscopic video quality evaluation method |
EP2790406A1 (en) * | 2011-12-05 | 2014-10-15 | Nippon Telegraph And Telephone Corporation | Video quality evaluation device, method and program |
CN104767993A (en) * | 2015-04-08 | 2015-07-08 | 宁波大学 | Stereoscopic video objective quality evaluation method based on quality lowering time domain weighting |
Family Cites Families (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011080892A1 (en) * | 2009-12-28 | 2011-07-07 | パナソニック株式会社 | Stereo image encoding device and method |
JP2012034352A (en) * | 2010-06-30 | 2012-02-16 | Panasonic Corp | Stereo moving image encoding apparatus and stereo moving image encoding method |
-
2015
- 2015-12-16 CN CN201510946403.XA patent/CN106888374B/en active Active
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101841726A (en) * | 2010-05-24 | 2010-09-22 | 宁波大学 | Three-dimensional video asymmetrical coding method |
CN102137258A (en) * | 2011-03-22 | 2011-07-27 | 宁波大学 | Method for controlling three-dimensional video code rates |
EP2790406A1 (en) * | 2011-12-05 | 2014-10-15 | Nippon Telegraph And Telephone Corporation | Video quality evaluation device, method and program |
CN103136748A (en) * | 2013-01-21 | 2013-06-05 | 宁波大学 | Stereo-image quality objective evaluation method based on characteristic image |
CN103780895A (en) * | 2014-01-16 | 2014-05-07 | 天津大学 | Stereoscopic video quality evaluation method |
CN104767993A (en) * | 2015-04-08 | 2015-07-08 | 宁波大学 | Stereoscopic video objective quality evaluation method based on quality lowering time domain weighting |
Also Published As
Publication number | Publication date |
---|---|
CN106888374A (en) | 2017-06-23 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101888566B (en) | Estimation method of distortion performance of stereo video encoding rate | |
CN102137258B (en) | Method for controlling three-dimensional video code rates | |
CN101466038B (en) | Method for encoding stereo video | |
CN104469386B (en) | A kind of perception method for encoding stereo video of the proper appreciable error model based on DOF | |
Appina et al. | Study of subjective quality and objective blind quality prediction of stereoscopic videos | |
CN101835056B (en) | Allocation method for optimal code rates of texture video and depth map based on models | |
DE102013022256A1 (en) | Improving the allocation of a bit rate control value for video streaming based on a player's attention area | |
CN109862359A (en) | Bit rate control method, device and electronic equipment based on hierarchical B-frame | |
CN102938840A (en) | Key frame quantization parameter selecting method applied to multi-viewpoint video coding system | |
CN106888374B (en) | A kind of 3 d video encoding method, apparatus and video processing equipment | |
CN106464887A (en) | Image decoding method and device therefor, and image encoding method and device therefor | |
CN102970540A (en) | Multi-view video code rate control method based on key frame code rate-quantitative model | |
CN103780895B (en) | A kind of three-dimensional video quality evaluation method | |
CN101146226A (en) | A highly-clear video image quality evaluation method and device based on self-adapted ST area | |
CN105306954B (en) | A kind of perception stereo scopic video coding based on parallax minimum appreciable error model | |
CN107071423A (en) | Application process of the vision multi-channel model in stereoscopic video quality objective evaluation | |
CN111447446B (en) | HEVC (high efficiency video coding) rate control method based on human eye visual region importance analysis | |
CN101841726B (en) | Three-dimensional video asymmetrical coding method | |
CN102026012B (en) | Generation method and device of depth map through three-dimensional conversion to planar video | |
Fang et al. | Perceptual quality assessment for asymmetrically distorted stereoscopic video by temporal binocular rivalry | |
Lei et al. | Region adaptive R-$\lambda $ model-based rate control for depth maps coding | |
Banitalebi-Dehkordi et al. | A study on the relationship between depth map quality and the overall 3D video quality of experience | |
CN102724524B (en) | H.264-based stereoscopic video code rate control method | |
CN103139554B (en) | A kind of 3 D video Rate-distortion optimization method and optimization device | |
CN109618156A (en) | A kind of video frequency coding rate method of adjustment |
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 | ||
EE01 | Entry into force of recordation of patent licensing contract | ||
EE01 | Entry into force of recordation of patent licensing contract |
Application publication date: 20170623 Assignee: Shanghai Li Ke Semiconductor Technology Co., Ltd. Assignor: Leadcore Technology Co., Ltd. Contract record no.: 2018990000159 Denomination of invention: Three-dimensional video coding method and device, and video processing equipment License type: Common License Record date: 20180615 |
|
GR01 | Patent grant | ||
GR01 | Patent grant |