CN107094231A - Intelligent image pickup method and device - Google Patents
Intelligent image pickup method and device Download PDFInfo
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- CN107094231A CN107094231A CN201710019073.9A CN201710019073A CN107094231A CN 107094231 A CN107094231 A CN 107094231A CN 201710019073 A CN201710019073 A CN 201710019073A CN 107094231 A CN107094231 A CN 107094231A
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- reference object
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- 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
- H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
Abstract
The application provides a kind of intelligent image pickup method and device.Methods described includes：Reference object option is provided in the user interface based on photographed scene；Determine one or more reference objects that user selectes；Default characteristics of image storehouse is inquired about according to the mark of selected one or more of reference objects, described image feature database includes the reference object mark and each positional information in the images of reference object of every image；According to the positional information of the one or more of reference objects inquired, the putting position for exporting reference object to user is instructed.The application user can carry out the selection of reference object according to actual conditions, the reference object query image feature database that terminal device can be selected according to user, to obtain the positional information of reference object in qualitative picture, and then the putting position guidance of reference object is exported to user according to the positional information, to instruct user to shoot, so as to improve the quality of image taking, Consumer's Experience is improved.
Description
Technical field
The application is related to field of terminal technology, more particularly to a kind of intelligent image pickup method and device.
Background technology
With the development of science and technology increasing terminal equipment configuration has a camera, user can by terminal device with
When carry out image taking, images share everywhere.However, because most of users do not possess the Techniques for Photography of specialty, this can
The picture quality photographed can be caused low, the shooting experience of influence user.
The content of the invention
In view of this, the application provides a kind of intelligent image pickup method and device.
Specifically, the application is achieved by the following technical solution：
A kind of intelligent image pickup method, methods described includes：
Reference object option is provided in the user interface based on photographed scene；
Determine one or more reference objects that user selectes；
Default characteristics of image storehouse is inquired about according to the mark of selected one or more of reference objects, described image is special
Levying storehouse includes the reference object mark of every image and the positional information in the images of each reference object；
According to the positional information of the one or more of reference objects inquired, putting for reference object is exported to user
Instruct position.
A kind of intelligent filming apparatus, described device includes：
Option provides unit, provides reference object option in the user interface based on photographed scene；
Object determining unit, determines one or more reference objects that user selectes；
Position enquiring unit, default characteristics of image is inquired about according to the mark of selected one or more of reference objects
Storehouse, described image feature database includes the reference object mark of every image and the position in the images of each reference object
Confidence ceases；
Position guide unit, according to the positional information of the one or more of reference objects inquired, is exported to user
The putting position of reference object is instructed.
The application user can carry out the selection of reference object, terminal according to actual conditions it can be seen from above description
The reference object query image feature database that equipment can be selected according to user, is believed with the position for obtaining reference object in qualitative picture
Breath, and then instructed according to the positional information to the putting position of user's output reference object, to instruct user to shoot, so as to improve
The quality of image taking, improves Consumer's Experience.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of intelligent image pickup method shown in the exemplary embodiment of the application one.
Fig. 2 is that one kind shown in the exemplary embodiment of the application one is found a view interface schematic diagram.
Fig. 3 is another interface schematic diagram of finding a view shown in the exemplary embodiment of the application one.
Fig. 4 is a kind of structural representation for intelligent filming apparatus shown in the exemplary embodiment of the application one.
Fig. 5 is a kind of block diagram of intelligent filming apparatus shown in the exemplary embodiment of the application one.
Embodiment
Here exemplary embodiment will be illustrated in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent all embodiments consistent with the application.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the application.
It is the purpose only merely for description specific embodiment in term used in this application, and is not intended to be limiting the application.
" one kind ", " described " and "the" of singulative used in the application and appended claims are also intended to including majority
Form, unless context clearly shows that other implications.It is also understood that term "and/or" used herein refers to and wrapped
It may be combined containing one or more associated any or all of project listed.
It will be appreciated that though various information, but this may be described using term first, second, third, etc. in the application
A little information should not necessarily be limited by these terms.These terms are only used for same type of information being distinguished from each other out.For example, not departing from
In the case of the application scope, the first information can also be referred to as the second information, similarly, and the second information can also be referred to as
One information.Depending on linguistic context, word as used in this " if " can be construed to " ... when " or " when ...
When " or " in response to determining ".
In correlation technique, user can be repaiied figure software by some and image is beautified after image is photographed.So
And, current image beautification is limited to the adjustment in the parameters such as brightness, contrast, acutance, it is impossible to fundamentally image matter
The problem of measuring relatively low.
In view of the above-mentioned problems, the application provides a kind of intelligent photographic schemes, it can effectively solve user in correlation technique and clap
Take the photograph the problem of picture quality is poor.
Fig. 1 is a kind of schematic flow sheet of intelligent image pickup method shown in the exemplary embodiment of the application one.
Fig. 1 is refer to, the intelligent image pickup method can be applied in terminal device, include following steps：
Step 101, reference object option is provided in the user interface based on photographed scene.
In the present embodiment, the photographed scene can in advance be divided by developer, such as：It may include cuisines
Scape, personage's scene etc..In one example, the photographed scene can be specified by user, such as：User can wake up shooting
Corresponding photographed scene is selected by interface of finding a view after head.In another example, taken the photograph when user wakes up under certain application scenarios
During as head, photographed scene can be defined as to the application scenarios, such as：Taken the photograph when user wakes up under the cuisines function of application software
During as head, it may be determined that photographed scene is cuisines scene.
In the present embodiment, developer can set the reference object for being adapted to the photographed scene for each photographed scene,
For example, for cuisines scene, reference object can include：Vegetable, cup, chopsticks etc..In this example, it is determined that shooting field
Jing Hou, the selection of reference object options for user can be provided in the user interface.Wherein, the user interface can be boundary of finding a view
Face, or setting interface of acquisition parameters etc., the application is not particularly limited to this.
Step 102, one or more reference objects that user selectes are determined.
In the present embodiment, user can carry out the selection of reference object according to current actual conditions.For same
Reference object, can also set the parameters such as the quantity of the reference object.
Step 103, default characteristics of image storehouse, institute are inquired about according to the mark of selected one or more of reference objects
Stating characteristics of image storehouse includes the reference object mark of every image and the letter of position in the images of each reference object
Breath.
In the present embodiment, described image feature database is normally based on what qualitative picture was pre-established, wherein can include
The information such as reference object, the position of the reference object in the images included by every qualitative picture.
In the present embodiment, the mark for the one or more reference objects that can be selected based on user is in described image feature
Inquiry includes the qualitative picture for the reference object that user selectes in storehouse, is then based on described image feature database and determines the high-quality figure
The positional information of each reference object as in.
Step 104, according to the positional information of the one or more of reference objects inquired, to user's output shooting pair
The putting position of elephant is instructed.
Based on the Query Result of abovementioned steps 103, in this step, it can found a view according to the positional information of reference object
The profile of the reference object is exported in interface, so that user intuitively knows the putting position of reference object.Certainly, actually should
In, the positional information inquired can also be exported to user by modes such as word, voices, to be used as the putting position
Instruct.
The application user can carry out the selection of reference object, terminal according to actual conditions it can be seen from above description
The reference object query image feature database that equipment can be selected according to user, is believed with the position for obtaining reference object in qualitative picture
Breath, and then instructed according to the positional information to the putting position of user's output reference object, to instruct user to shoot, so as to improve
The quality of image taking, improves Consumer's Experience.
In terms of generation separately below from characteristics of image storehouse, image taking two, the technical scheme to the application is carried out in detail
Thin description.
First, the generation in characteristics of image storehouse
In the present embodiment, qualitative picture can be learnt in advance, to generate described image feature database.Specifically,
A collection of qualitative picture can be filtered out in advance, for every qualitative picture, this image can be recognized based on image recognition algorithm
In each reference object.In this process, the default reference object of developer can be recognized only in qualitative picture.
The positional information of each reference object can be determined by identifying after the reference object, to generate described image feature database.Wherein,
The positional information can be position coordinates of the correspondence reference object in qualitative picture.
| Qualitative picture | Reference object | Positional information |
| Qualitative picture 1 | A、B、C | A- positions 1, beta-position puts 2, C- positions 3 |
| Qualitative picture 2 | A、B | A- positions 1, beta-position puts 4 |
| Qualitative picture 3 | A、C、F | A- positions 1, C- positions 2, F- positions 5 |
Table 1
The example of table 1 is refer to, table 1 shows the reference object and each reference object of three qualitative pictures in its high-quality figure
Positional information as in, for ease of storage, reference object is generally stored in the form of mark in characteristics of image storehouse.It is worth noting
, the exemplary only explanation of table 1, also can only store reference object in actual applications and its corresponding of positional information is closed
System.
2nd, image taking
1) reference object is selected
It is described below by taking cuisines scene as an example.It is assumed that user is after the camera of mobile phone is waken up, cuisines are selected
Scape, then can provide the user the reference object option of cuisines scene in interface of finding a view.It refer to the boundary of finding a view shown in Fig. 2
Face, user can carry out the selection of reference object according to current actual conditions.It is assumed that user wants to shoot a mess, it is current to go back
There are cup and fork, then vegetable, cup and fork can be selected in the interface of finding a view shown in Fig. 2.Optionally, when user selects
Select after some reference object, the input options of quantity can also be shown, so that user inputs the quantity of reference object, such as：
User wants to shoot two assorted cold dishes, then the quantity of vegetable can be set into 2.
In another example, when showing reference object option, reference object can be divided, by reference object
Divide as main reference object and auxiliary reference object.For example, in cuisines scene, main reference object is usually vegetable, auxiliary
Reference object is helped to include：Cup, fork, chopsticks etc..In such implementation, main reference object option is essential
, in other words, user will at least select a main reference object, and other auxiliary reference objects are optional reference objects, are used
Family can be selected according to actual conditions.Equally, user can also select the quantity of reference object, such as：Select two dishes
Product etc..
2) putting position of output reference object is instructed
In the present embodiment, after user selectes reference object, client can be looked into based on the mark of the reference object
Default characteristics of image storehouse is ask, to inquire about the positional information of the reference object.In one example, client can be local
Above-mentioned inquiry is carried out in the characteristics of image storehouse prestored.In another example, the shooting pair that client can also select user
The mark of elephant is sent to service end, is inquired about by service end, and the application is not particularly limited to this.
In the present embodiment, it is described by taking service end query image feature database as an example.Service end can be selected with user
Reference object be designated search index described image feature database.It is assumed that reference object that user selectes is designated A and B,
Then based on the characteristics of image storehouse shown in table 1, service end can determine the hit index of qualitative picture 2, and then can be by qualitative picture 2
Middle reference object A positional information position 1 and reference object B positional information position 4 return to client.
In another example, fuzzy query can also be supported, if in characteristics of image storehouse without only include reference object A with
And reference object B qualitative picture, then can be using qualitative picture 1 in table 1 as the result of fuzzy query, and then can be by high-quality
In image 1 reference object A positional information position 1 and reference object B positional information position 2 as suboptimum Query Result
Return to client.
In another example, if user have selected main reference object and aids in reference object respectively, and characteristics of image
Without main reference object is both included in storehouse, the qualitative picture of auxiliary reference object is included again, then can filter out an auxiliary bat
Take the photograph after object and re-start inquiry.Wherein, the filtering principle of auxiliary reference object can be random filtering, can also be based upon each
The priority that individual auxiliary reference object is pre-set is filtered, and the application is not particularly limited to this.As an example it is assumed that with
A main reference object-vegetable is selected at family, and auxiliary reference object is have selected again：Cup and fork, if not deposited in characteristics of image storehouse
Including the qualitative picture of vegetable, cup and fork, then auxiliary reference object fork can be being filtered out, based on vegetable and cup
Again inquired about in characteristics of image.
In the present embodiment, after the positional information for the reference object that user selectes is inquired, it can be shot according to described
The mark of object obtains the profile of the reference object from object outline storehouse, is then existed according to the positional information inquired
Find a view and the profile of the reference object is exported in interface.With earlier figures as the inquiry of feature database is similar, the profile of reference object is obtained
Taking can be completed by client based on the object outline storehouse locally preserved, can also be completed by service end.
It is assumed that the reference object A that user selectes is vegetable, reference object B is cup, when the wheel for getting vegetable and cup
After exterior feature, Fig. 3 is refer to, vegetable and the corresponding profile of cup can be shown in interface of finding a view based on the positional information inquired,
The user position of vegetable and cup in interface that may be referred to find a view carries out putting for vegetable and cup.
, can be based on any one group of shooting if inquiring the positional information of multigroup reference object in another example
The positional information of object shows the profile of reference object in interface of finding a view, and to be instructed as putting position, instructs user to shoot.
At the same time, user can also be pointed out to there is other putting position guidances that can be checked in interface of finding a view, such as：It can take
Button of Slideslip etc. to the right is shown in scape interface, user can select the putting position oneself liked to instruct.
3) automatic error-correcting
In the present embodiment, user is referred to find a view reference object profile shown in interface to put desired shooting
Vegetable and cup.Client can open automatic error correction function after displaying reference object profile, such as：According to the default time
Cycle detection, which is found a view, whether there is corresponding reference object in interface near reference object profile, if being not present, can export
Prompting, points out user to put incorrect.Instructed based on the putting position shown in Fig. 3, client can find a view and detect cup in interface
Whether really there is cup near sub- profile.Certainly, in actual applications, the behaviour such as identification due to carrying out reference object after finding a view
Generally require to spend longer time, thus can only detect that reference object profile annex whether there is reference object, without
Carry out the identification of reference object classification.In other words, there is article near cup profile if detecting in interface of finding a view, can not
Carry out miscue.
It should be noted that the definition near above-mentioned reference object profile can be configured by developer, such as：With
The region of the distance of reference object profile within a preset range can be referred to as reference object profile nearby etc..
4) other, which shoot, instructs
In the present embodiment, when carrying out the generation in characteristics of image storehouse, the shooting angle of every qualitative picture can also be preserved
Degree and acquisition parameters information.Wherein, the shooting angle can include：Take a crane shot, put down and clap, face upward bat etc..The acquisition parameters bag
Include but be not limited to：Shutter speed, aperture, white balance etc..
In the present embodiment, can also be according to qualitative picture on the basis of the putting position of output reference object is instructed
Shooting angle, such as：Shooting angle can be exported by way of word in interface of finding a view.In addition, for acquisition parameters,
The acquisition parameters of this equipment can be adjusted automatically according to the acquisition parameters of qualitative picture.Significantly, since clapping
Take the photograph parameter relevant with shooting environmental, before being automatically adjusted, can also first judge current environment parameter and qualitative picture
Whether ambient parameter matches, can be with acquisition parameters described in adjust automatically if matching.
Embodiment with aforementioned intelligent image pickup method is corresponding, and present invention also provides the embodiment of intelligent filming apparatus.
The embodiment of the application intelligence filming apparatus can be using on the terminal device.Device embodiment can pass through software
Realize, can also be realized by way of hardware or software and hardware combining.Exemplified by implemented in software, as on a logical meaning
Device, be to be read corresponding computer program instructions in nonvolatile memory by the processor of terminal device where it
Into internal memory, operation is formed.For hardware view, as shown in figure 4, the terminal device where the intelligent filming apparatus of the application
A kind of hardware structure diagram, it is real in addition to the processor shown in Fig. 4, internal memory, network interface and nonvolatile memory
Actual functional capability of the terminal device in example where device generally according to the terminal device is applied, other hardware can also be included, to this
Repeat no more.
Fig. 5 is a kind of block diagram of intelligent filming apparatus shown in the exemplary embodiment of the application one.
Fig. 5 is refer to, the intelligent filming apparatus 400 can be applied in the terminal device shown in earlier figures 4, including
Have：Option provides unit 401, object determining unit 402, position enquiring unit 403, position guide unit 404, position testing unit
Member 405, angle guide unit 406 and parameter adjustment unit 407.
Wherein, option provides unit 401, provides reference object option in the user interface based on photographed scene；
Object determining unit 402, determines one or more reference objects that user selectes；
Position enquiring unit 403, default image is inquired about according to the mark of selected one or more of reference objects
Feature database, described image feature database includes the reference object mark and each reference object of every image in the images
Positional information；
Position guide unit 404, it is defeated to user according to the positional information of the one or more of reference objects inquired
The putting position for going out reference object is instructed.
Optionally, the position guide unit 404, according to the mark of selected one or more of reference objects from
The profile of the reference object is obtained in object outline storehouse；And exported according to the positional information inquired in interface of finding a view
The profile of the reference object.
It whether there is in position detection unit 405, the detection interface of finding a view at the outline position of reference object corresponding
Reference object；If it is determined that corresponding reference object is not present in the interface of finding a view at the outline position of reference object, then export
Prompting.
Optionally, the position guide unit 404, if being existed according to the mark of selected one or more of reference objects
The positional information of multigroup reference object is inquired in described image feature database, then according to the position of any group of reference object inquired
Confidence ceases the putting position for exporting reference object to user and instructed, and points out user to refer in the presence of other putting positions that can be checked
Lead.
Optionally, also include in described image feature database：The shooting angle of every image；
Angle guide unit 406, according to inquired in described image feature database shooting angle to user export shooting angle
Degree is instructed.
Optionally, also include in described image feature database：The acquisition parameters of every image；
Parameter adjustment unit 407, according to the acquisition parameters inquired in described image feature database automatically to this equipment
Acquisition parameters are adjusted.
Optionally, the reference object option includes：Main reference object option and auxiliary reference object option；
Selected multiple reference objects include at least one main reference object.
Optionally, the position enquiring unit 403, if not inquiring selected multiple shootings in described image feature database
The positional information of object, then filter out after an auxiliary reference object in selected multiple reference objects, inquire about again described
Characteristics of image storehouse.
The function of unit and the implementation process of effect specifically refer to correspondence step in the above method in said apparatus
Implementation process, will not be repeated here.
For device embodiment, because it corresponds essentially to embodiment of the method, so related part is real referring to method
Apply the part explanation of example.Device embodiment described above is only schematical, wherein described be used as separating component
The unit of explanation can be or may not be physically separate, and the part shown as unit can be or can also
It is not physical location, you can with positioned at a place, or can also be distributed on multiple NEs.Can be according to reality
Selection some or all of module therein is needed to realize the purpose of application scheme.Those of ordinary skill in the art are not paying
In the case of going out creative work, you can to understand and implement.
System, device, module or unit that above-described embodiment is illustrated, can specifically be realized by computer chip or entity,
Or realized by the product with certain function.A kind of typically to realize that equipment is computer, the concrete form of computer can
To be personal computer, laptop computer, cell phone, camera phone, smart phone, personal digital assistant, media play
In device, navigation equipment, E-mail receiver/send equipment, game console, tablet PC, wearable device or these equipment
The combination of any several equipment.
The preferred embodiment of the application is the foregoing is only, not to limit the application, all essences in the application
God is with principle, and any modification, equivalent substitution and improvements done etc. should be included within the scope of the application protection.
Claims (16)
1. a kind of intelligent image pickup method, it is characterised in that methods described includes：
Reference object option is provided in the user interface based on photographed scene；
Determine one or more reference objects that user selectes；
Default characteristics of image storehouse, described image feature database are inquired about according to the mark of selected one or more of reference objects
Include the reference object mark of every image and the positional information in the images of each reference object；
According to the positional information of the one or more of reference objects inquired, the putting position of reference object is exported to user
Instruct.
2. according to the method described in claim 1, it is characterised in that the putting position for exporting reference object to user refers to
Lead, including：
The reference object is obtained from object outline storehouse according to the mark of selected one or more of reference objects
Profile；
The positional information according to inquiring exports the profile of the reference object in interface of finding a view.
3. method according to claim 2, it is characterised in that methods described also includes：
With the presence or absence of corresponding reference object at the outline position of reference object in the detection interface of finding a view；
If it is determined that corresponding reference object is not present in the interface of finding a view at the outline position of reference object, then output prompting.
4. according to the method described in claim 1, it is characterised in that one or more of shootings pair that the basis is inquired
The positional information of elephant, the putting position for exporting reference object to user is instructed, including：
If inquiring multigroup shooting in described image feature database according to the mark of selected one or more of reference objects
The positional information of object, then export putting for reference object according to the positional information of any group of reference object inquired to user
Position is instructed, and points out user to there is other putting position guidances that can be checked.
5. according to the method described in claim 1, it is characterised in that
Also include in described image feature database：The shooting angle of every image；
Methods described also includes：
Instructed according to shooting angle is inquired in described image feature database to user's output shooting angle.
6. according to the method described in claim 1, it is characterised in that
Also include in described image feature database：The acquisition parameters of every image；
Methods described also includes：
The acquisition parameters of this equipment are adjusted automatically according to the acquisition parameters inquired in described image feature database.
7. according to the method described in claim 1, it is characterised in that
The reference object option includes：Main reference object option and auxiliary reference object option；
Selected multiple reference objects include at least one main reference object.
8. method according to claim 7, it is characterised in that methods described also includes：
If not inquiring the positional information of selected multiple reference objects in described image feature database, in selected multiple bats
Take the photograph in object and filter out after an auxiliary reference object, described image feature database is inquired about again.
9. a kind of intelligent filming apparatus, it is characterised in that described device includes：
Option provides unit, provides reference object option in the user interface based on photographed scene；
Object determining unit, determines one or more reference objects that user selectes；
Position enquiring unit, default characteristics of image storehouse is inquired about according to the mark of selected one or more of reference objects,
Described image feature database includes the reference object mark of every image and the position in the images of each reference object
Information；
Position guide unit, according to the positional information of the one or more of reference objects inquired, exports to user and shoots
The putting position of object is instructed.
10. device according to claim 9, it is characterised in that
The position guide unit, is obtained according to the mark of selected one or more of reference objects from object outline storehouse
Take the profile of the reference object；And the reference object is exported in interface of finding a view according to the positional information inquired
Profile.
11. device according to claim 10, it is characterised in that described device also includes：
With the presence or absence of corresponding shooting pair at the outline position of reference object in position detection unit, the detection interface of finding a view
As；If it is determined that corresponding reference object is not present in the interface of finding a view at the outline position of reference object, then output prompting.
12. device according to claim 9, it is characterised in that
The position guide unit, if according to the mark of selected one or more of reference objects in described image feature database
In inquire the positional information of multigroup reference object, then it is defeated to user according to the positional information of any group of reference object inquired
The putting position for going out reference object is instructed, and points out user to there is other putting position guidances that can be checked.
13. device according to claim 9, it is characterised in that
Also include in described image feature database：The shooting angle of every image；
Described device also includes：
Angle guide unit, is instructed according to shooting angle is inquired in described image feature database to user's output shooting angle.
14. device according to claim 9, it is characterised in that
Also include in described image feature database：The acquisition parameters of every image；
Described device also includes：
Parameter adjustment unit, according to the acquisition parameters of the acquisition parameters inquired in described image feature database automatically to this equipment
It is adjusted.
15. device according to claim 9, it is characterised in that
The reference object option includes：Main reference object option and auxiliary reference object option；
Selected multiple reference objects include at least one main reference object.
16. device according to claim 15, it is characterised in that
The position enquiring unit, if not inquiring the position letter of selected multiple reference objects in described image feature database
Breath, then filter out after an auxiliary reference object in selected multiple reference objects, described image feature database inquired about again.
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| CN201710019073.9A CN107094231B (en) | 2017-01-11 | 2017-01-11 | Intelligent shooting method and device |
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| CN201710019073.9A CN107094231B (en) | 2017-01-11 | 2017-01-11 | Intelligent shooting method and device |
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| CN109644263A (en) * | 2017-12-28 | 2019-04-16 | 深圳配天智能技术研究院有限公司 | First smart machine and attaching method thereof and device with store function |
| CN110830712A (en) * | 2019-09-16 | 2020-02-21 | 幻想动力(上海)文化传播有限公司 | Autonomous photographing system and method |
| CN111050067A (en) * | 2019-11-25 | 2020-04-21 | 北京城市网邻信息技术有限公司 | Prompting method and device in information acquisition process |
| US20220109798A1 (en) * | 2020-10-01 | 2022-04-07 | Axis Ab | Method of configuring a camera |
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| CN110830712A (en) * | 2019-09-16 | 2020-02-21 | 幻想动力(上海)文化传播有限公司 | Autonomous photographing system and method |
| CN111050067A (en) * | 2019-11-25 | 2020-04-21 | 北京城市网邻信息技术有限公司 | Prompting method and device in information acquisition process |
| US20220109798A1 (en) * | 2020-10-01 | 2022-04-07 | Axis Ab | Method of configuring a camera |
| CN114374778A (en) * | 2020-10-01 | 2022-04-19 | 安讯士有限公司 | Method for configuring camera |
| US11653084B2 (en) * | 2020-10-01 | 2023-05-16 | Axis Ab | Method of configuring a camera |
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