CN107071333A - Method of video image processing and video image processing device - Google Patents
Method of video image processing and video image processing device Download PDFInfo
- Publication number
- CN107071333A CN107071333A CN201710357724.5A CN201710357724A CN107071333A CN 107071333 A CN107071333 A CN 107071333A CN 201710357724 A CN201710357724 A CN 201710357724A CN 107071333 A CN107071333 A CN 107071333A
- Authority
- CN
- China
- Prior art keywords
- video image
- area
- image
- video
- algorithm
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/14—Systems for two-way working
- H04N7/141—Systems for two-way working between two video terminals, e.g. videophone
Landscapes
- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Image Processing (AREA)
Abstract
The present invention proposes a kind of method of video image processing and a kind of video image processing device, wherein, method of video image processing includes:The first video image and the second video image are obtained, the image quality of the first video image is higher than the image quality of the second video image;According to presumptive area partitioning algorithm, the same position on the first video image and the second video image carries out region division, obtains target area;Image in the target area of first video image is replaced into the image to the target area of the second video image, to obtain the 3rd video image.Pass through technical scheme, it can either ensure that user obtains the target area of high image quality, improve Consumer's Experience, the image quality in other inessential regions is reduced again, reduce the flow consumption in transmitting procedure, and the efficiency of image transmitting is improved, significantly reduce the flow cost and time cost of transmission of video images.
Description
【Technical field】
The present invention relates to field of terminal technology, more particularly to a kind of method of video image processing and a kind of Computer Vision
Device.
【Background technology】
At present, the application of video calling widely, many facilities is provided for the studying and living of user.
However, the network traffics that are consumed of high-quality video calling are a lot, with the high defect of use cost, if one
The picture quality for reducing video calling is transmitted taste, video can be caused unintelligible again, be reduced Consumer's Experience.
Therefore, how the cost of video calling is reduced while Consumer's Experience is ensured, as skill urgently to be resolved hurrily at present
Art problem.
【The content of the invention】
The embodiments of the invention provide a kind of method of video image processing and a kind of video image processing device, it is intended to solves
The high technical problem of video calling cost in correlation technique, can reduce video calling while Consumer's Experience is ensured
Cost.
In a first aspect, the embodiments of the invention provide a kind of method of video image processing, including:Obtain the first video image
With the second video image, the image quality of first video image is higher than the image quality of second video image;According to presumptive area
Partitioning algorithm, the same position on first video image and second video image carries out region division, obtains mesh
Mark region;Image in the target area of first video image is replaced into the target area of second video image figure
Picture, to obtain the 3rd video image.
In the above embodiment of the present invention, alternatively, the first video image of the acquisition and the step of the second video image,
Specifically include:Two groups of images being continuously shot in predetermined time interval are obtained to regard as first video image and described second
Frequency image, every group of image is made up of a frame or multiple frames.
In the above embodiment of the present invention, alternatively, the presumptive area partitioning algorithm includes face recognition algorithms, difference
One or more in algorithm, XOR algorithm, average algorithm, weighting algorithm and decrement algorithm.
It is alternatively, described according to presumptive area partitioning algorithm in the above embodiment of the present invention, in the first video figure
The step of same position on picture and second video image carries out region division, specifically includes:For any video image,
Region division is carried out by a variety of presumptive area partitioning algorithms, multiple prime areas are obtained, and by the multiple prime area
Merge, obtain the target area;Or for any video image, area is carried out by a variety of presumptive area partitioning algorithms
Domain is divided, and obtains multiple prime areas, and takes in the multiple prime area that area is maximum, area is minimum or closest to institute
A prime area of average area for multiple prime areas is stated as the target area.
In the above embodiment of the present invention, alternatively, in addition to:Obtain the 4th video image;Pass through the presumptive area
Partitioning algorithm, main region and secondary regions are divided into by the 4th video image;By the main region and described secondary
The image quality in region is separately adjusted to angularly the first predetermined image quality and the second predetermined image quality, to obtain the 5th video image;By the described 5th
Transmission of video images is to the receiving side terminal.
Second aspect, the embodiments of the invention provide a kind of video image processing device, including:First acquisition unit, is obtained
The first video image and the second video image are taken, the image quality of first video image is higher than the picture of second video image
Matter;First area division unit, according to presumptive area partitioning algorithm, in first video image and second video image
On same position carry out region division, obtain target area;Region replacement unit, by the target area of first video image
Image replaces the image to the target area of second video image in domain, to obtain the 3rd video image.
In the above embodiment of the present invention, alternatively, the first acquisition unit specifically for:Obtain predetermined time interval
Two groups of images being inside continuously shot as first video image and second video image, every group of image by a frame or
Multiple frame compositions.
In the above embodiment of the present invention, alternatively, the presumptive area partitioning algorithm includes face recognition algorithms, difference
One or more in algorithm, XOR algorithm, average algorithm, weighting algorithm and decrement algorithm.
In the above embodiment of the present invention, alternatively, the area division unit specifically for:For any video figure
Picture, carries out region division by a variety of presumptive area partitioning algorithms, obtains multiple prime areas, and by the multiple original area
Domain is merged, and obtains the target area;Or for any video image, carried out by a variety of presumptive area partitioning algorithms
Region division, obtains multiple prime areas, and takes area maximum, area minimum or closest in the multiple prime area
One prime area of the average area of the multiple prime area is used as the target area.
In the above embodiment of the present invention, alternatively, in addition to:Second acquisition unit, obtains the 4th video image;Second
Area division unit, by the presumptive area partitioning algorithm, main region is divided into and secondary by the 4th video image
Region;Image quality adjustment unit, by the image quality of the main region and the secondary regions be separately adjusted to angularly the first predetermined image quality and
Second predetermined image quality, to obtain the 5th video image;Second transmitting element, the 5th transmission of video images is received to described
Square terminal.
Above technical scheme, enters for the high technical problem of video calling cost in correlation technique there is provided a kind of intelligence
The method of row Computer Vision, can obtain the video image of two groups of different image quality, and according to presumptive area partitioning algorithm,
Two groups of video images find out identical target area, the region that the target area is seen clearly required for user, then, will can draw
Replace to the position where the target area of the second relatively low video image of image quality the target area of the first higher video image of matter
Put, form the 3rd video image, therefore, the region image quality seen clearly in the 3rd video image required for user is higher, and the region
Then image quality is relatively low in other the inessential regions thought.
So, can be directly by the 3rd transmission of video images to receiving side terminal when carrying out the transmission of video image, can
Enough ensure that user obtains the target area of high image quality, improves Consumer's Experience, the image quality in other inessential regions is reduced again, is made
The overall size reduction of video image, can reduce the flow consumption in transmitting procedure, and improve the efficiency of image transmitting, pole
The earth reduces the flow cost and time cost of transmission of video images.
【Brief description of the drawings】
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below will be attached to what is used required in embodiment
Figure is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for this area
For those of ordinary skill, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 shows the flow chart of the method for video image processing of one embodiment of the present of invention;
Fig. 2 shows the flow chart of the method for video image processing of an alternative embodiment of the invention;
Fig. 3 shows the block diagram of the video image processing device of one embodiment of the present of invention;
Fig. 4 shows the block diagram of the terminal of one embodiment of the present of invention.
【Embodiment】
In order to be better understood from technical scheme, the embodiment of the present invention is retouched in detail below in conjunction with the accompanying drawings
State.
It will be appreciated that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.Base
Embodiment in the present invention, those of ordinary skill in the art obtained under the premise of creative work is not made it is all its
Its embodiment, belongs to the scope of protection of the invention.
The term used in embodiments of the present invention is the purpose only merely for description specific embodiment, and is not intended to be limiting
The present invention." one kind ", " described " and "the" of singulative used in the embodiment of the present invention and appended claims
It is also intended to including most forms, unless context clearly shows that other implications.
Need to know, during transmission of video images, generally require to be transmitted after compression of images, therefore, below
Transmitting step described in embodiment refers to transmit image after compression image.Certainly, network speed allow or user to regarding
In the case that frequency image quality requirements are high, unpressed video image can also be directly transmitted.
Fig. 1 shows the flow chart of the method for video image processing of one embodiment of the present of invention.
As shown in figure 1, the embodiments of the invention provide a kind of method of video image processing, including:
Step 102, the first video image and the second video image are obtained, the image quality of the first video image is higher than the second video
The image quality of image.
Obtaining the first video image and the second video image has a variety of implementations, in a kind of implementation of the present invention
In, two groups of continuous video images can be obtained in real time by camera device respectively as the first video image and the second video figure
Picture, and the second video image is compressed, the image quality of the second video image after compression is less than the first video image.Its
In, image quality refers to the viewing effect of video image, is mainly reflected in the size of video image, the higher video image of resolution ratio
Size is bigger, and image quality is also higher, meanwhile, image quality also suffers from the influence of the parameters such as saturation degree, contrast.
In another implementation of the present invention, step 102 can also be particularly limited as:Obtain in predetermined time interval
Two groups of images being continuously shot as the first video image and the second video image, wherein, predetermined time interval can be by terminal
User be configured, can also be dispatched from the factory and carried by system, can also in real time be set according to actual photographed demand by system.
Such as, system can be set is divided into two groups of the first video image and the second video image by the image shot in every 0.1s, often
Group image is made up of a frame or multiple frames, that is to say, that the number of video image in the first video image and the second video image
Measure to be one or more.Wherein, predetermined time interval is shorter, and the quantity of every group of video image is fewer, logical for overall video
For words, packet is more, and distribution of the 3rd video image finally given in time-domain is more uniform, then receiving side terminal
The viewing effect of the overall video obtained is better, so as to greatly improve Consumer's Experience.
Step 104, according to presumptive area partitioning algorithm, the same position on the first video image and the second video image
Region division is carried out, target area is obtained.
I.e. according to presumptive area partitioning algorithm, identical target area is found out in two groups of video images, the target area is
The region seen clearly required for user.Wherein, presumptive area partitioning algorithm include face recognition algorithms, difference algorithm, XOR algorithm,
One or more in average algorithm, weighting algorithm and decrement algorithm, certainly, presumptive area partitioning algorithm can also be according to need
In addition other algorithms that will be.
In a kind of implementation of the present invention, the specific steps of region division include:For any video image, pass through
A variety of presumptive area partitioning algorithms carry out region division, obtain multiple prime areas, and multiple prime areas are merged,
Obtain target area.
In order to lift the validity of selected target area, it can make being merged by a variety of presumptive area partitioning algorithms
With, it can be calculated with every kind of presumptive area partitioning algorithm and obtain a prime area, then, can be whole prime area conjunctions
And for target area, with ensure no matter the demand of user why, the target area that can all select can be presented with high image quality
To user, Consumer's Experience is greatly improved.
In another implementation of the present invention, for any video image, pass through a variety of presumptive area partitioning algorithms
Region division is carried out, multiple prime areas are obtained, and takes area maximum, area minimum or closest in multiple prime areas
One prime area of the average area of multiple prime areas is used as target area.
In order to lift the validity of selected target area, it can make being merged by a variety of presumptive area partitioning algorithms
With can be calculated with every kind of presumptive area partitioning algorithm and obtain a prime area, then, can selected in multiple prime areas
A maximum prime area of area is as target area, to ensure the clear area needed for user as much as possible in high image quality
In target area.Or, the prime area that can select area minimum in multiple prime areas is used as target area so that
The target area area of high image quality is minimum, and the size of transmission data is reduced to greatest extent, the time cost of transmission is reduced
And flow cost.It is, of course, also possible to select a prime area closest to the average area of multiple prime areas as target
Region, to take into account low cost and target area validity.
Step 106, image in the target area of the first video image is replaced to the target area of the second video image
Image, to obtain the 3rd video image.The target area of the first higher video image of image quality can be replaced to image quality compared with
Position where the target area of the second low video image, forms the 3rd video image, therefore, user in the 3rd video image
The required region image quality seen clearly is higher, and then image quality is relatively low in other inessential regions that the region is thought.
After step 106, can be by the 3rd transmission of video images to receiving side terminal.
So, can be directly by the 3rd transmission of video images to receiving side terminal when carrying out the transmission of video image, can
Enough ensure that user obtains the target area of high image quality, realizes high Consumer's Experience, the image quality in other inessential regions is reduced again, is made
The overall size reduction of video image, can reduce the flow consumption in transmitting procedure, and improve the efficiency of image transmitting, pole
The earth reduces the flow cost and time cost of transmission of video images.
Fig. 2 shows the flow chart of the method for video image processing of an alternative embodiment of the invention.
As shown in Fig. 2 the method for video image processing of an alternative embodiment of the invention, including:
Step 202, the 4th video image is obtained.
Step 204, by presumptive area partitioning algorithm, the 4th video image is divided into main region and secondary regions.
The step of step is with the region division in the embodiment shown in Fig. 1 is identical, will not be repeated here.
Step 206, the image quality of main region and secondary regions is separately adjusted to angularly the first predetermined image quality and the second predetermined picture
Matter, to obtain the 5th video image.Wherein, the first predetermined image quality and the second predetermined image quality there is each self-corresponding resolution ratio, it is right
Than the image quality attribute such as degree and saturation degree, and the first predetermined image quality is higher than the second predetermined image quality.So, the tune to image quality attribute is passed through
It is whole, the image quality of main region can be caused to be higher than the image quality of secondary regions, user disclosure satisfy that with the image quality for ensureing main region
Actual demand.
Wherein, before being adjusted to image quality, the image quality of secondary regions is higher than the second predetermined image quality, and the image quality of main region
It can then be higher than, equal to or less than the first predetermined image quality, as long as after ensureing image quality adjustment, the overall size reduction of video image
.
Step 208, by the 5th transmission of video images to receiving side terminal.
The technical scheme, every two field picture in the video image of acquisition is transmitted, and in the embodiment shown in Fig. 1
In, the 3rd video image of transmission is then the half of the video image obtained, and therefore, both transmission size of data have difference.
Thus, in actual scene, user can be used alone the video image transmission method shown in Fig. 1 embodiments, can also be by Fig. 1
It is used in combination, such as, can be according to actual needs arranged in each 0.2s by user, preceding 0.1s is adopted with the embodiment shown in Fig. 2
With the video image transmission method shown in Fig. 1 embodiments, rear 0.1s uses the video image transmission method shown in Fig. 2 embodiments,
So as to ensure that user obtains the target area of high image quality, Consumer's Experience is lifted, the flow reduced again in transmitting procedure disappears
Consumption, improves the efficiency of image transmitting.
Fig. 3 shows the block diagram of the video image processing device of one embodiment of the present of invention;
As shown in figure 3, the video image processing device 300 of one embodiment of the present of invention, including:First acquisition unit
302nd, first area division unit 304, the transmitting element 308 of region replacement unit 306 and first.
Wherein, first acquisition unit 302 is used to obtain the first video image and the second video image, the first video image
Image quality is higher than the image quality of the second video image;First area division unit 304 is used for according to presumptive area partitioning algorithm, first
Same position on video image and the second video image carries out region division, obtains target area;Region replacement unit 306 is used
Image replaces the image to the target area of the second video image in by the target area of the first video image, to obtain the 3rd
Video image.Hereafter, by the 3rd transmission of video images to receiving side terminal.
Therefore the video image processing device 300, is had using the method for video image processing of any one of above-described embodiment
There are above-mentioned all technique effects, will not be repeated here.Video image processing device 300 also has following technical characteristic:
The present invention a kind of implementation in, first acquisition unit 302 specifically for:Obtain and connect in predetermined time interval
The continuous two groups of images shot are as the first video image and the second video image, and every group of image is made up of a frame or multiple frames.
In a kind of implementation of the present invention, presumptive area partitioning algorithm includes face recognition algorithms, difference algorithm, different
Or one or more in algorithm, average algorithm, weighting algorithm and decrement algorithm.
The present invention a kind of implementation in, area division unit 304 specifically for:For any video image, lead to
Cross a variety of presumptive area partitioning algorithms and carry out region division, obtain multiple prime areas, and multiple prime areas are closed
And, obtain target area;Or for any video image, carry out region division by a variety of presumptive area partitioning algorithms, obtain
Take area maximum, the minimum or closest multiple prime areas of area to multiple prime areas, and in multiple prime areas
One prime area of average area is used as target area.
In a kind of implementation of the present invention, video image processing device 300 also includes:Second acquisition unit, is obtained
4th video image;Second area division unit, by presumptive area partitioning algorithm, main region is divided into by the 4th video image
Domain and secondary regions;Image quality adjustment unit, by the image quality of main region and secondary regions be separately adjusted to angularly the first predetermined image quality and
Second predetermined image quality, to obtain the 5th video image;Second transmitting element, by the 5th transmission of video images to receiving side terminal.
Fig. 4 shows the block diagram of the terminal of one embodiment of the present of invention.
As shown in figure 4, terminal 400 according to an embodiment of the invention, including the Computer Vision dress shown in Fig. 3
Put 300, therefore, the terminal 400 have and Fig. 3 shown in the identical technique effect of video image processing device 300, herein no longer
Repeat.
Technical scheme is described in detail above in association with accompanying drawing, by technical scheme, is being regarded
During the transmission of frequency image, it can either ensure that user obtains high image quality directly by the 3rd transmission of video images to receiving side terminal
Target area, improve Consumer's Experience, the image quality in other inessential regions reduced again, drop the overall size of video image
It is low, the flow consumption in transmitting procedure can be reduced, and the efficiency of image transmitting is improved, significantly reduce video image biography
Defeated flow cost and time cost.
It will be appreciated that though video image may be described using term first, second etc. in embodiments of the present invention, but
These video images should not necessarily be limited by these terms.These terms are only used for video image being distinguished from each other out.For example, not departing from
In the case of range of embodiment of the invention, the first video image can also be referred to as the second video image, similarly, the second video
Image can also be referred to as the first video image.
Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining " or " in response to detection ".Similarly, depending on linguistic context, phrase " if it is determined that " or " if detection
(condition or event of statement) " can be construed to " when it is determined that when " or " in response to determine " or " when the detection (condition of statement
Or event) when " or " in response to detection (condition or event of statement) ".
It should be noted that terminal involved in the embodiment of the present invention can include but is not limited to personal computer
(Personal Computer, PC), personal digital assistant (Personal Digital Assistant, PDA), wireless handheld
Equipment, tablet personal computer (Tablet Computer), mobile phone, MP3 player, MP4 players etc..
, can be with several embodiments provided by the present invention, it should be understood that disclosed systems, devices and methods
Realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Divide, only a kind of division of logic function there can be other dividing mode when actually realizing, for example, multiple units or group
Part can combine or be desirably integrated into another system, or some features can be ignored, or not perform.It is another, it is shown
Or the coupling each other discussed or direct-coupling or communication connection can be by some interfaces, device or unit it is indirect
Coupling is communicated to connect, and can be electrical, machinery or other forms.
In addition, each functional unit in each embodiment of the invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, it would however also be possible to employ hardware adds the form of SFU software functional unit to realize.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in an embodied on computer readable and deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are to cause a computer
Device (can be personal computer, server, or network equipment etc.) or processor (Processor) perform the present invention each
The part steps of embodiment methods described.And foregoing storage medium includes:USB flash disk, mobile hard disk, read-only storage (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
Can be with the medium of store program codes.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God is with principle, and any modification, equivalent substitution and improvements done etc. should be included within the scope of protection of the invention.
Claims (10)
1. a kind of method of video image processing, it is characterised in that including:
The first video image and the second video image are obtained, the image quality of first video image is higher than second video image
Image quality;
According to presumptive area partitioning algorithm, the same position on first video image and second video image is carried out
Region division, obtains target area;
Image in the target area of first video image is replaced into the image to the target area of second video image,
To obtain the 3rd video image.
2. method of video image processing according to claim 1, it is characterised in that the video image of acquisition first and
The step of two video images, specifically include:
Two groups of images being continuously shot in predetermined time interval are obtained as first video image and the second video figure
Picture, every group of image is made up of a frame or multiple frames.
3. method of video image processing according to claim 1 or 2, it is characterised in that the presumptive area partitioning algorithm
Including one or more in face recognition algorithms, difference algorithm, XOR algorithm, average algorithm, weighting algorithm and decrement algorithm.
4. method of video image processing according to claim 3, it is characterised in that described divided according to presumptive area is calculated
Method, the step of same position on first video image and second video image carries out region division, specific bag
Include:
For any video image, region division is carried out by a variety of presumptive area partitioning algorithms, multiple prime areas are obtained, with
And merge the multiple prime area, obtain the target area;
Or
For any video image, region division is carried out by a variety of presumptive area partitioning algorithms, multiple prime areas are obtained, with
And take area maximum, the minimum or closest the multiple prime area of area average area in the multiple prime area
One prime area is used as the target area.
5. method of video image processing according to claim 3, it is characterised in that also include:
Obtain the 4th video image;
By the presumptive area partitioning algorithm, the 4th video image is divided into main region and secondary regions;
The image quality of the main region and the secondary regions is separately adjusted to angularly the first predetermined image quality and the second predetermined image quality, with
Obtain the 5th video image;
By the 5th transmission of video images to the receiving side terminal.
6. a kind of video image processing device, it is characterised in that including:
First acquisition unit, obtains the first video image and the second video image, and the image quality of first video image is higher than institute
State the image quality of the second video image;
First area division unit, according to presumptive area partitioning algorithm, in first video image and the second video figure
As upper same position carries out region division, target area is obtained;
Region replacement unit, image in the target area of first video image is replaced to the mesh of second video image
Image in region is marked, to obtain the 3rd video image.
7. video image processing device according to claim 6, it is characterised in that the first acquisition unit is specifically used
In:
Two groups of images being continuously shot in predetermined time interval are obtained as first video image and the second video figure
Picture, every group of image is made up of a frame or multiple frames.
8. the video image processing device according to claim 6 or 7, it is characterised in that the presumptive area partitioning algorithm
Including one or more in face recognition algorithms, difference algorithm, XOR algorithm, average algorithm, weighting algorithm and decrement algorithm.
9. video image processing device according to claim 8, it is characterised in that the area division unit is specifically used
In:
For any video image, region division is carried out by a variety of presumptive area partitioning algorithms, multiple prime areas are obtained, with
And merge the multiple prime area, obtain the target area;Or for any video image, by a variety of pre-
Determine region partitioning algorithm and carry out region division, obtain multiple prime areas, and area is taken most in the multiple prime area
Greatly, a prime area of the average area of the minimum or closest the multiple prime area of area is used as the target area.
10. video image processing device according to claim 8, it is characterised in that also include:
Second acquisition unit, obtains the 4th video image;
Second area division unit, by the presumptive area partitioning algorithm, main region is divided into by the 4th video image
Domain and secondary regions;
Image quality adjustment unit, the first predetermined image quality and are separately adjusted to angularly by the image quality of the main region and the secondary regions
Two predetermined image quality, to obtain the 5th video image;
Second transmitting element, by the 5th transmission of video images to the receiving side terminal.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710357724.5A CN107071333A (en) | 2017-05-19 | 2017-05-19 | Method of video image processing and video image processing device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710357724.5A CN107071333A (en) | 2017-05-19 | 2017-05-19 | Method of video image processing and video image processing device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN107071333A true CN107071333A (en) | 2017-08-18 |
Family
ID=59609520
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710357724.5A Pending CN107071333A (en) | 2017-05-19 | 2017-05-19 | Method of video image processing and video image processing device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107071333A (en) |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109429098A (en) * | 2017-08-24 | 2019-03-05 | 中兴通讯股份有限公司 | Method for processing video frequency, device and terminal |
CN109640151A (en) * | 2018-11-27 | 2019-04-16 | Oppo广东移动通信有限公司 | Method for processing video frequency, device, electronic equipment and storage medium |
CN111491124A (en) * | 2020-04-17 | 2020-08-04 | 维沃移动通信有限公司 | Video processing method and device and electronic equipment |
WO2022205108A1 (en) * | 2021-03-31 | 2022-10-06 | 浙江吉利控股集团有限公司 | Video image processing method and apparatus, device, and storage medium |
CN116320405A (en) * | 2023-05-17 | 2023-06-23 | 西安畅榜电子科技有限公司 | Security monitoring video compression storage method |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101803389A (en) * | 2007-09-10 | 2010-08-11 | 富士胶片株式会社 | Image processing apparatus, image processing method, and program |
US20110090371A1 (en) * | 2009-10-20 | 2011-04-21 | Apple Inc. | System and method for detecting and correcting defective pixels in an image sensor |
EP2160016B1 (en) * | 2008-08-29 | 2012-04-18 | Canon Kabushiki Kaisha | Image processing apparatus, control method therefor, and program |
CN102647590A (en) * | 2012-04-17 | 2012-08-22 | 华为终端有限公司 | Image compression method and device |
US20120314123A1 (en) * | 2011-06-10 | 2012-12-13 | Altek Corporation | System and Method of Driving Shutter by Tendency of Moving Object |
CN103595909A (en) * | 2012-08-16 | 2014-02-19 | Lg电子株式会社 | Mobile terminal and controlling method thereof |
CN103647923A (en) * | 2013-12-06 | 2014-03-19 | 广东欧珀移动通信有限公司 | Image displaying method in video calling |
CN103888689A (en) * | 2014-03-13 | 2014-06-25 | 北京智谷睿拓技术服务有限公司 | Image collection method and device |
CN104660899A (en) * | 2014-09-29 | 2015-05-27 | 上海华勤通讯技术有限公司 | Picture processing method |
CN105120169A (en) * | 2015-09-01 | 2015-12-02 | 联想(北京)有限公司 | Information processing method and electronic equipment |
CN105847728A (en) * | 2016-04-13 | 2016-08-10 | 腾讯科技(深圳)有限公司 | Information processing method and terminal |
-
2017
- 2017-05-19 CN CN201710357724.5A patent/CN107071333A/en active Pending
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101803389A (en) * | 2007-09-10 | 2010-08-11 | 富士胶片株式会社 | Image processing apparatus, image processing method, and program |
EP2160016B1 (en) * | 2008-08-29 | 2012-04-18 | Canon Kabushiki Kaisha | Image processing apparatus, control method therefor, and program |
US20110090371A1 (en) * | 2009-10-20 | 2011-04-21 | Apple Inc. | System and method for detecting and correcting defective pixels in an image sensor |
US20120314123A1 (en) * | 2011-06-10 | 2012-12-13 | Altek Corporation | System and Method of Driving Shutter by Tendency of Moving Object |
CN102647590A (en) * | 2012-04-17 | 2012-08-22 | 华为终端有限公司 | Image compression method and device |
CN103595909A (en) * | 2012-08-16 | 2014-02-19 | Lg电子株式会社 | Mobile terminal and controlling method thereof |
CN103647923A (en) * | 2013-12-06 | 2014-03-19 | 广东欧珀移动通信有限公司 | Image displaying method in video calling |
CN103888689A (en) * | 2014-03-13 | 2014-06-25 | 北京智谷睿拓技术服务有限公司 | Image collection method and device |
CN104660899A (en) * | 2014-09-29 | 2015-05-27 | 上海华勤通讯技术有限公司 | Picture processing method |
CN105120169A (en) * | 2015-09-01 | 2015-12-02 | 联想(北京)有限公司 | Information processing method and electronic equipment |
CN105847728A (en) * | 2016-04-13 | 2016-08-10 | 腾讯科技(深圳)有限公司 | Information processing method and terminal |
Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109429098A (en) * | 2017-08-24 | 2019-03-05 | 中兴通讯股份有限公司 | Method for processing video frequency, device and terminal |
CN109640151A (en) * | 2018-11-27 | 2019-04-16 | Oppo广东移动通信有限公司 | Method for processing video frequency, device, electronic equipment and storage medium |
CN111491124A (en) * | 2020-04-17 | 2020-08-04 | 维沃移动通信有限公司 | Video processing method and device and electronic equipment |
CN111491124B (en) * | 2020-04-17 | 2023-02-17 | 维沃移动通信有限公司 | Video processing method and device and electronic equipment |
WO2022205108A1 (en) * | 2021-03-31 | 2022-10-06 | 浙江吉利控股集团有限公司 | Video image processing method and apparatus, device, and storage medium |
CN116320405A (en) * | 2023-05-17 | 2023-06-23 | 西安畅榜电子科技有限公司 | Security monitoring video compression storage method |
CN116320405B (en) * | 2023-05-17 | 2023-10-27 | 西安畅榜电子科技有限公司 | Security monitoring video compression storage method |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107071333A (en) | Method of video image processing and video image processing device | |
CN107454343B (en) | Photographic method, camera arrangement and terminal | |
CN112449120B (en) | High dynamic range video generation method and device | |
CN107507160B (en) | Image fusion method, terminal and computer readable storage medium | |
US11615215B2 (en) | Image display method and terminal | |
CN107071332A (en) | Video image transmission processing method and transmission of video images processing unit | |
CN103108197A (en) | Priority level compression method and priority level compression system for three-dimensional (3D) video wireless display | |
CN108683852A (en) | A kind of video recording method, terminal and computer readable storage medium | |
CN110868544B (en) | Shooting method and electronic equipment | |
CN108234879A (en) | It is a kind of to obtain the method and apparatus for sliding zoom video | |
WO2021180241A1 (en) | Gaze point generation method, system, and device | |
CN106791915A (en) | A kind of method and apparatus for showing video image | |
CN110493600A (en) | Image encoding method, device, computer equipment and storage medium | |
CN113099233A (en) | Video encoding method, video encoding device, video encoding apparatus, and storage medium | |
US11010879B2 (en) | Video image processing method and apparatus thereof, display device, computer readable storage medium and computer program product | |
CN106303361A (en) | Image processing method, device, system and graphic process unit in video calling | |
CN108206960B (en) | Image compression ratio adjusting method in image transmission process and mobile terminal | |
CN105847970A (en) | Video display quality calculating method and equipment | |
US20200090309A1 (en) | Method and device for denoising processing, storage medium, and terminal | |
CN107733874A (en) | Information processing method, device, computer equipment and storage medium | |
WO2015160485A1 (en) | Fallback detection in motion estimation | |
CN108347579B (en) | Bandwidth control method and device | |
CN107256137B (en) | Picture processing method and device | |
US11336902B1 (en) | Systems and methods for optimizing video encoding | |
CN117714712B (en) | Data steganography method, equipment and storage medium for video conference |
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 | ||
RJ01 | Rejection of invention patent application after publication | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170818 |