CN110365911A - Method for shooting photo by mobile terminal, mobile terminal and server - Google Patents
Method for shooting photo by mobile terminal, mobile terminal and server Download PDFInfo
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- CN110365911A CN110365911A CN201910750562.0A CN201910750562A CN110365911A CN 110365911 A CN110365911 A CN 110365911A CN 201910750562 A CN201910750562 A CN 201910750562A CN 110365911 A CN110365911 A CN 110365911A
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- mobile terminal
- photo
- feedback command
- shooting
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- 238000000034 method Methods 0.000 title claims abstract description 42
- 238000013528 artificial neural network Methods 0.000 claims abstract description 18
- 230000000694 effects Effects 0.000 claims abstract description 17
- 230000003796 beauty Effects 0.000 claims description 17
- 238000000605 extraction Methods 0.000 claims description 9
- 231100000289 photo-effect Toxicity 0.000 claims description 3
- 238000013527 convolutional neural network Methods 0.000 claims description 2
- 238000013135 deep learning Methods 0.000 claims description 2
- 241000208340 Araliaceae Species 0.000 claims 2
- 235000005035 Panax pseudoginseng ssp. pseudoginseng Nutrition 0.000 claims 2
- 235000003140 Panax quinquefolius Nutrition 0.000 claims 2
- 235000008434 ginseng Nutrition 0.000 claims 2
- 210000004556 brain Anatomy 0.000 claims 1
- 230000005611 electricity Effects 0.000 claims 1
- 230000008901 benefit Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 239000000284 extract Substances 0.000 description 2
- 238000010276 construction Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000003760 hair shine Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000004218 nerve net Anatomy 0.000 description 1
- 238000005303 weighing Methods 0.000 description 1
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/60—Control of cameras or camera modules
- H04N23/62—Control of parameters via user interfaces
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/80—Camera processing pipelines; Components thereof
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Human Computer Interaction (AREA)
- Image Analysis (AREA)
- Image Processing (AREA)
- Studio Devices (AREA)
Abstract
The application provides a method for shooting a photo by a mobile terminal, the mobile terminal and a server, wherein the method comprises the following steps: receiving a preview picture sent by the mobile terminal in a photographing preview mode; saving the preview photo; extracting effect parameter information from the preview picture through a picture recognition algorithm; determining a feedback instruction according to the effect parameter information, wherein the feedback instruction is used for instructing the mobile terminal to take a picture or adjusting a photographing parameter; and sending the feedback instruction to the mobile terminal. By the method, the mobile phone can take pictures according to the instructions obtained by the server according to the uploaded preview pictures through the neural network algorithm analysis, and the taken pictures are more attractive.
Description
Technical field
The present invention relates to intelligent fields of taking pictures, and more particularly, to a kind of method of mobile terminal shooting photo, shifting
Dynamic terminal and server.
Background technique
With the arrival in the 5G epoch of mobile phone, the transmission speed of data in mobile phone reaches matter and is promoted, while using mobile phone photograph
When early having become one of people's life habit, but using mobile phone photograph, by the shadow of environmental factor and shooting technology factor
It is good that sound, which is not the photo effect that everyone takes,.There is currently much repair figure software solves photograph to a certain extent
The problem of piece beauty, however this needs operator to have good operative skill, and this needs takes a long time and essence
Power.Therefore, how to allow each photo effect taken using mobile phone is very good to have become the topic more paid close attention at present.
Summary of the invention
For above-mentioned the problems of the prior art, present applicant proposes a kind of methods of mobile terminal shooting photo, movement
Corresponding instruction is analyzed by server previewing photos and provided to terminal and server, so that intelligent guidance is mobile eventually
End shooting photo, keeps the photo of discharge beautiful.
In a first aspect, this application provides a kind of methods of mobile terminal shooting photo, this method comprises: step 1, clapping
It takes the photograph in preview mode, sends previewing photos to server, the previewing photos include the efficacy parameter information of photo；Step 2 connects
Receive the feedback command that the server is sent, wherein the feedback command is the server according to the efficacy parameter information
It is generated using neural network algorithm；And step 3, parameter of being taken pictures according to the determining shooting photo of the feedback command or adjustment.It is logical
This method is crossed, the instruction that the preview picture analysis that mobile phone is uploaded according to server according to it obtains is taken pictures, and is clapped
The photo taken the photograph is more beautiful.
In an implementation of the first aspect, parameter of taking pictures includes at least the shooting angle of the mobile terminal, claps
Take the photograph direction and shooting distance.
In an implementation of the first aspect, when taking pictures parameter according to the determining adjustment of the feedback command,
The described method includes: 1~3 is repeated the above steps, until the feedback command is used to indicate shooting photo.
In an implementation of the first aspect, efficacy parameter includes at least brightness, contrast, time for exposure and Bai Ping
Weighing apparatus.
Second aspect, this application provides a kind of movements using the method for first aspect and embodiments thereof shooting photo
Terminal, the mobile terminal include: the first sending module, are used in shooting preview mode, send previewing photos to server,
The previewing photos include the efficacy parameter information of photo；First receiving module is used to receive the anti-of the server transmission
Feedback instruction, wherein the feedback command is that the server is given birth to according to the efficacy parameter use of information neural network algorithm
At；And photo module, it is used to shoot photo.
In an implementation of the second aspect, mobile terminal is smart phone or tablet computer.
The third aspect, this application provides a kind of methods of mobile terminal shooting photo, comprising: step 1 receives the shifting
The previewing photos that dynamic terminal is sent under preview mode of taking pictures；Step 2 saves the previewing photos；Step 3 passes through picture
Recognizer is to the previewing photos extraction effect parameter information；Step 4 determines that feedback refers to according to the efficacy parameter information
It enables, the feedback command is used to indicate the mobile terminal shooting photo or adjusts parameter of taking pictures；And step 5, to the shifting
Dynamic terminal sends the feedback command.
In an embodiment of the third aspect, feedback command is determined according to the efficacy parameter information, comprising: utilize
Neural network algorithm analyzes the efficacy parameter information, whether meets preset photo beauty with the determination efficacy parameter
Sight condition；The feedback command is generated based on the analysis results.
In an embodiment of the third aspect, the feedback command is generated based on the analysis results, comprising: in the effect
When fruit parameter meets photo beauty condition, determine that the feedback command is photographing instruction.
In an embodiment of the third aspect, the feedback command is generated based on the analysis results, comprising: in the effect
When fruit parameter is unsatisfactory for photo beauty condition, the feedback command is determined to adjust parameter instruction of taking pictures.
In an embodiment of the third aspect, the method also includes: step 1~5 are repeated, until the feedback refers to
Order is used to indicate the mobile terminal shooting photo.
In an embodiment of the third aspect, picture recognition algorithm is that the image recognition based on convolutional neural networks is calculated
Method.
In an embodiment of the third aspect, neural network algorithm is deep learning algorithm neural network based.
Fourth aspect, this application provides a kind of services using the method for the third aspect and embodiments thereof shooting photo
Device, the server include: the second receiving module, are used to receive the preview that the mobile terminal is sent under preview mode of taking pictures
Photo；Memory module is used to save the previewing photos；Extraction module is used for through picture recognition algorithm to described pre-
Look at photo extraction effect parameter information；Determining module is used to determine feedback command according to the efficacy parameter information, described anti-
Feedback instruction is used to indicate the mobile terminal shooting photo or adjusts parameter of taking pictures；And second sending module, it is used for institute
It states mobile terminal and sends the feedback command.
In an embodiment of fourth aspect, determining module is specifically included: analytical unit, is used to utilize nerve net
Network algorithm analyzes the efficacy parameter information, whether meets preset photo beauty item with the determination efficacy parameter
Part；Generation unit is used to generate the feedback command based on the analysis results.
Method, mobile terminal and the server that mobile terminal provided by the present application is taken pictures have such as compared to the prior art
Under the utility model has the advantages that
(1) efficacy parameter of picture is extracted and the analysis of parameter is all in server end, and calculating speed is fast, and comparison is mobile whole
End operation, which calculates, reduces power consumption；
(2) by neural network intelligent algorithm analysis picture efficacy parameter, then by the side of taking pictures of adjustment effect parameter
Case is sent to mobile terminal in the form of a command；And
(3) mobile terminal transmits the picture of preview in real time, and receives the order of server feedback and be adjusted and take pictures
Angle and distance, the extraordinary photo of Lai Shixian effect.
Above-mentioned technical characteristic may be combined in various suitable ways or be substituted by equivalent technical characteristic, as long as can reach
To the purpose of the present invention.
Detailed description of the invention
The invention will be described in more detail below based on embodiments and refering to the accompanying drawings.Wherein:
Fig. 1 shows the schematic flow chart of the method for mobile terminal shooting photo according to an embodiment of the present invention；
Fig. 2 shows the schematic flow chart of the method for mobile terminal shooting photo according to another embodiment of the present invention；
Fig. 3 shows the structural block diagram of mobile terminal according to an embodiment of the present invention；
Fig. 4 shows the structural block diagram of server according to an embodiment of the present invention.
In the accompanying drawings, identical component uses identical appended drawing reference.Attached drawing is not according to actual ratio.
Specific embodiment
The present invention will be further described with reference to the accompanying drawings.
Fig. 1 is the schematic flow chart for the method 100 that mobile terminal provided by the invention shoots photo.As shown in Figure 1, should
Method 100 includes:
S110, in shooting preview mode, mobile terminal sends previewing photos to server, and the previewing photos include shining
The efficacy parameter information of piece；
S120, server save the previewing photos after receiving the previewing photos；
S130, server generate feedback command according to the efficacy parameter information in the previewing photos, and are sent to mobile whole
End.
S140 after mobile terminal receives the feedback command, carries out shooting photo or adjustment according to the content of feedback command
It takes pictures parameter.
In invention, preview picture data carry out being transferred to remote server when by mobile phone photograph, in the server
The picture effect parameter of transmission is extracted, then the shortcomings that efficacy parameter Jing Guo neural network algorithm analysis picture, then
The form that the scheme of adjustment effect parameter has been ordered is sent to mobile phone terminal, the order adjustment shooting that mobile phone terminal is sent by server
Angle or moving distance are taken pictures, and the extraordinary photo of effect of taking pictures out is reached.
Wherein, in embodiments herein, mobile terminal can be any smart machine that can be taken pictures, such as intelligent hand
Machine, tablet computer or can be with the camera of server communication etc., all within the scope of the present invention.It herein, is understanding
The purpose released and illustrated will be illustrated by taking smart phone as an example, it will, however, be understood by those skilled in the art that its with
Example be applied equally to features described below and technical solution.
Method 100 of the invention is described in detail below in conjunction with Fig. 2.In the camera application program of smart phone
In be provided with intelligent photographing function option, using method 100 provided by the invention shooting photo before, shooting personnel can be first
The function choosing-item is opened, otherwise camera programm is common photographing mode.Under intelligent photographing mode, mobile phone is set up with server
Communication connection, the two transmit data by server and the interface of mobile phone camera program.
In S110, mobile phone is adjusted to first count according to state first, in the case where the first count is according to state, mobile phone has corresponding
Distance of taking pictures, take pictures direction and photo angle etc. take pictures parameter.Under preview mode, mobile phone obtain preview picture, and by its
Be sent to server, wherein may include efficacy parameter information in the previewing photos, such as brightness, contrast, the time for exposure and
White balance etc..
After server receives the previewing photos in S120, the photo is saved by internal memory module.
In S130, server generates feedback command according to the efficacy parameter information in the previewing photos, and is sent to mobile phone
Camera programm.
Specifically, firstly, server by utilizing picture recognition algorithm extracts efficacy parameter information from the previewing photos.Its
In, optionally, the recognizer which can be well known to those skilled in the art.It is executed in this method 100
Before, should also to the picture recognition algorithm carry out learning training, with improve its extraction to efficacy parameter information accuracy,
Rapidity and integrality.
Secondly, server by utilizing neural network algorithm combines preset photo beauty conditional information, which is believed
Breath carries out assessment judgement, determines whether the efficacy parameter meets photo beauty condition, and generate corresponding feedback command；Wherein,
Photo beauty condition can be those skilled in the art (such as professional photographer) rule of thumb and preset every kind of effect is joined
Several threshold intervals helps positively if efficacy parameter is fallen into the section to photo beauty is promoted；On the contrary,
If efficacy parameter has passive help to photo beauty is promoted there is no in the section.
Finally, the feedback command is sent to mobile phone camera program；
S140, mobile phone are to carry out mobile phone photograph or adjust parameter of taking pictures according to the determination of the content of feedback command.
Wherein, if in S130, efficacy parameter meets the photo beauty condition, it is determined that the feedback command is finger of taking pictures
It enables, mobile phone can take pictures after receiving the photographing instruction excessively, and obtain good-looking photo；If efficacy parameter is discontented
Sufficient photo beauty condition, it is determined that the feedback command is adjusting parameter instruction, and adjustment parameter instruction of taking pictures should include mobile phone
The Adjusted Option that should be carried out, mobile phone take pictures after parameter instruction receiving the adjustment, are taken pictures according to Adjusted Option adjustment
Then parameter, such as take pictures distance, photo angle and direction of taking pictures are sent out the second count after adjustment according to the previewing photos under state
It send to server, and repeats step S110~S140, until mobile phone just executes shooting photo when the feedback command is photographing instruction
Movement.
It as shown in Figures 3 and 4, is the structural block diagram of mobile terminal 200 and server 300 provided by the invention.Such as Fig. 3 institute
Show, which includes:
First sending module 210, is used in shooting preview mode, sends previewing photos to server 300, described pre-
Photo of looking at includes the efficacy parameter information of photo；
First receiving module 220 is used to receive the feedback command that the server 300 is sent, wherein the feedback refers to
Order is that the server 300 is generated according to the efficacy parameter use of information neural network algorithm；And
Photo module 230 is used to shoot photo.
Correspondingly, as shown in figure 4, the server 300 includes:
Second receiving module 310 is used to receive the preview that the mobile terminal 200 is sent under preview mode of taking pictures and shines
Piece；
Memory module 320 is used to save the previewing photos；
Extraction module 330 is used for through picture recognition algorithm to the previewing photos extraction effect parameter information；
Determining module 340 is used to determine feedback command according to the efficacy parameter information, and the feedback command is for referring to
Show that the mobile terminal 200 shoots photo or adjusts parameter of taking pictures；And
Second sending module 350 is used to send the feedback command to the mobile terminal 200.
The determining module 300 can specifically include:
Analytical unit is used to analyze the efficacy parameter information using neural network algorithm, described in determination
Whether efficacy parameter meets preset photo beauty condition；
Instruction generation unit is used to generate the feedback command based on the analysis results.
Step performed by the modules and its unit of the mobile terminal 200 and server 300 or the function having are
Through being described in detail above, will not repeat herein.
Method, mobile terminal and the server that mobile terminal provided by the present application is taken pictures have such as compared to the prior art
Under the utility model has the advantages that (1) picture efficacy parameter extract and parameter analysis all in server end, calculating speed is fast, comparison exist
Running of mobile terminal calculating reduces power consumption；(2) it by neural network intelligent algorithm analysis picture efficacy parameter, then will adjust
The scheme of taking pictures of whole efficacy parameter is sent to mobile terminal in the form of a command；And (3) mobile terminal transmits preview in real time
Picture, and receive server feedback order be adjusted photo angle and distance, the extraordinary photo of Lai Shixian effect.
In the description of the present invention, it is to be understood that, term " on ", "lower", "bottom", "top", "front", "rear", "inner",
The orientation or positional relationship of the instructions such as "outside", "left", "right" is to be based on the orientation or positional relationship shown in the drawings, merely to just
In description the present invention and simplify description, rather than the device or element of indication or suggestion meaning must have a particular orientation, with
Specific orientation construction and operation, therefore be not considered as limiting the invention.
Although describing the present invention herein with reference to specific embodiment, it should be understood that, these realities
Apply the example that example is only principles and applications.It should therefore be understood that can be carried out to exemplary embodiment
Many modifications, and can be designed that other arrangements, without departing from spirit of the invention as defined in the appended claims
And range.It should be understood that different appurtenances can be combined by being different from mode described in original claim
Benefit requires and feature described herein.It will also be appreciated that the feature in conjunction with described in separate embodiments can be used
In other described embodiments.
Claims (17)
1. a kind of method of mobile terminal shooting photo characterized by comprising
Step 1, in shooting preview mode, to server send previewing photos, the previewing photos include photo effect ginseng
Number information；
Step 2 receives the feedback command that the server is sent, wherein the feedback command is the server according to
Efficacy parameter use of information neural network algorithm generates；And
Step 3 determines shooting photo according to the feedback command or adjusts parameter of taking pictures.
2. the method according to claim 1, wherein the parameter of taking pictures includes at least the bat of the mobile terminal
Take the photograph angle, shooting direction and shooting distance.
3. according to the method described in claim 2, it is characterized in that, in ginseng of taking pictures according to the determining adjustment of the feedback command
When number, which comprises
1~3 is repeated the above steps, until the feedback command is used to indicate shooting photo.
4. according to the method described in claim 3, it is characterized in that, the efficacy parameter includes at least brightness, contrast, exposure
Time and white balance.
5. a kind of mobile terminal using the shooting photo of method described in any one of any one of claims 1 to 44, which is characterized in that institute
Stating mobile terminal includes:
First sending module is used in shooting preview mode, sends previewing photos to server, the previewing photos include
The efficacy parameter information of photo；
First receiving module is used to receive the feedback command that the server is sent, wherein the feedback command is the clothes
Business device is generated according to the efficacy parameter use of information neural network algorithm；And
Photo module is used to shoot photo.
6. mobile terminal according to claim 5, which is characterized in that the mobile terminal is smart phone or plate electricity
Brain.
7. a kind of method of mobile terminal shooting photo characterized by comprising
Step 1 receives the previewing photos that the mobile terminal is sent under preview mode of taking pictures；
Step 2 saves the previewing photos；
Step 3 passes through picture recognition algorithm to the previewing photos extraction effect parameter information；
Step 4 determines that feedback command, the feedback command are used to indicate the mobile terminal and clap according to the efficacy parameter information
It takes the photograph photo or adjusts parameter of taking pictures；And
Step 5, Xiang Suoshu mobile terminal send the feedback command.
8. the method according to the description of claim 7 is characterized in that the efficacy parameter includes at least brightness, contrast, exposure
Time and white balance.
9. according to the method described in claim 8, wrapping it is characterized in that, determine feedback command according to the efficacy parameter information
It includes:
The efficacy parameter information is analyzed using neural network algorithm, it is default with whether the determination efficacy parameter meets
Photo beauty condition；
The feedback command is generated based on the analysis results.
10. according to the method described in claim 9, it is characterized in that, generating the feedback command based on the analysis results, comprising:
When the efficacy parameter meets photo beauty condition, determine that the feedback command is photographing instruction.
11. according to the method described in claim 9, it is characterized in that, generating the feedback command based on the analysis results, comprising:
When the efficacy parameter is unsatisfactory for photo beauty condition, the feedback command is determined to adjust parameter instruction of taking pictures.
12. according to the method for claim 11, which is characterized in that the method also includes:
Step 1~5 are repeated, until the feedback command is used to indicate the mobile terminal shooting photo.
13. method according to any one of claims 7 to 12, which is characterized in that the picture recognition algorithm be based on
The image recognition algorithm of convolutional neural networks.
14. the method according to any one of claim 9 to 12, which is characterized in that the neural network algorithm be based on
The deep learning algorithm of neural network.
15. method according to any one of claims 7 to 12, which is characterized in that the parameter of taking pictures is including at least institute
State the shooting angle, shooting direction and shooting distance of mobile terminal.
16. a kind of server using the shooting photo of method described in any one of claim 7 to 15, which is characterized in that institute
Stating server includes:
Second receiving module is used to receive the previewing photos that the mobile terminal is sent under preview mode of taking pictures；
Memory module is used to save the previewing photos；
Extraction module is used for through picture recognition algorithm to the previewing photos extraction effect parameter information；
Determining module is used to determine that feedback command, the feedback command are used to indicate described according to the efficacy parameter information
Mobile terminal shooting photo adjusts parameter of taking pictures；And
Second sending module is used to send the feedback command to the mobile terminal.
17. server according to claim 16, which is characterized in that the determining module specifically includes:
Analytical unit is used to analyze the efficacy parameter information using neural network algorithm, with the determination effect
Whether parameter meets preset photo beauty condition；
Instruction generation unit is used to generate the feedback command based on the analysis results.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910750562.0A CN110365911A (en) | 2019-08-14 | 2019-08-14 | Method for shooting photo by mobile terminal, mobile terminal and server |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910750562.0A CN110365911A (en) | 2019-08-14 | 2019-08-14 | Method for shooting photo by mobile terminal, mobile terminal and server |
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| Publication Number | Publication Date |
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| CN110365911A true CN110365911A (en) | 2019-10-22 |
Family
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| CN110868535A (en) * | 2019-10-31 | 2020-03-06 | 维沃移动通信有限公司 | Shooting method, shooting parameter determination method, electronic equipment and server |
| CN112351201A (en) * | 2020-10-26 | 2021-02-09 | 北京字跳网络技术有限公司 | Multimedia data processing method, system, device, electronic equipment and storage medium |
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Application publication date: 20191022 |