CN111543047A - Video shooting method and device and computer readable storage medium - Google Patents
Video shooting method and device and computer readable storage medium Download PDFInfo
- Publication number
- CN111543047A CN111543047A CN201780097112.5A CN201780097112A CN111543047A CN 111543047 A CN111543047 A CN 111543047A CN 201780097112 A CN201780097112 A CN 201780097112A CN 111543047 A CN111543047 A CN 111543047A
- Authority
- CN
- China
- Prior art keywords
- image
- area
- video
- portrait
- target
- 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
Images
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
Abstract
The invention discloses a video shooting method, which comprises the following steps: when video shooting is started, carrying out face recognition on an image of a viewfinder area; when a user face image is identified, acquiring a target image parameter value corresponding to the user face image; and executing corresponding image exposure processing on the image of the viewfinder frame area according to the logic comparison relation between the specified target image parameter value and the preset image parameter value. The invention also discloses a video shooting device and a computer readable storage medium. The invention realizes automatic brightening of the image in the video shooting process, improves the human image brightness of the video and optimizes the video quality.
Description
Technical Field
The present invention relates to the field of image imaging, and in particular, to a video capture method, apparatus, and computer-readable storage medium.
Background
At present, the imaging quality requirements of people on mobile phone photographing and video recording are continuously improved. At present, portrait brightening is realized in mobile phone photographing, but the automatic portrait brightening function is not realized when a video is recorded, so that the brightness of the portrait in the video is insufficient, and particularly when the skin color of a photographed object is dark, the obvious situation of insufficient portrait exposure can occur; in a backlight or dark environment, a person image of a subject may be dark.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a video shooting method, a video shooting device and a computer readable storage medium, and aims to solve the problem of insufficient exposure of a portrait caused by the fact that the video is recorded without an automatic portrait brightening function.
In order to achieve the above object, the present invention provides a video shooting method, including the steps of:
when video shooting is started, carrying out face recognition on an image of a viewfinder area;
when a user face image is identified, acquiring a target image parameter value corresponding to the user face image;
and executing corresponding image exposure processing on the image of the viewfinder frame area according to the logic comparison relation between the specified target image parameter value and the preset image parameter value.
Preferably, the target image parameter values corresponding to the user face image include: the image processing method comprises the following steps of obtaining image area image brightness FV in a user face image, image brightness BV of an area except the user face image and area ratio R of the image area in a viewfinder area;
the preset image parameter values comprise the target brightness FT of the portrait area in the face image of the user, wherein the effective interval of the target brightness FT of the portrait area is that a is larger than or equal to FT and smaller than or equal to b.
Preferably, the step of performing corresponding image exposure processing on the image of the finder frame area according to the logic comparison relationship between the specified target image parameter value and the preset image parameter value comprises:
comparing the numerical value of the FV with the effective interval value of the FT;
let FT = a when FV < a;
and according to the FT, carrying out exposure compensation on the image of the viewfinder frame area so that the image brightness FV of the portrait area is equal to a value a.
Preferably, the step of comparing the value of FV with the value of the valid interval of FT further comprises:
let FT = b when FV > b;
and according to the FT, carrying out exposure compensation on the image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to a value b.
Preferably, the step of comparing the value of FV with the value of the valid interval of FT further comprises:
when a is not less than FV not more than b, let FT = R FV + (1-R) BV;
and according to the FT, carrying out exposure compensation on the image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to the FT.
Preferably, when the user face image is recognized, the step of acquiring the target image parameter value corresponding to the user face image includes:
numbering each portrait corresponding to the identified facial image of the user;
and acquiring a target image parameter value of the portrait corresponding to the selected number in the image according to the number selected by the user.
In order to achieve the above object, the present invention provides a video camera, comprising: a camera, a memory, a processor, and a video capture device stored on the memory and operable on the processor, wherein:
the camera is used for shooting videos;
the video capture device, when executed by the processor, implements the steps of the video capture method as described above.
In addition, to achieve the above object, the present invention also provides a computer readable storage medium, wherein the computer readable storage medium has stored thereon a video shooting program, which when executed by a processor implements the steps of the video shooting method as described above.
The embodiment of the invention provides a video shooting method, a video shooting device and a computer readable storage medium,
when the image of a user is identified, acquiring a corresponding image parameter value by carrying out face identification on the image of a view finder area when video shooting is started; after the image parameter value is compared with the target image parameter value, corresponding image brightening processing is carried out on the target area image of the view frame area, so that automatic brightening of the image in the video shooting process is realized, the human image brightness of the video is improved, and the video quality is optimized.
Drawings
Fig. 1 is a schematic structural diagram of a video camera according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a video shooting method according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of a video capture method according to the present invention;
FIG. 4 is a flowchart illustrating a video shooting method according to a third embodiment of the present invention;
FIG. 5 is a diagram illustrating exemplary effects of a second embodiment of a video capture method according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: when video shooting starts, carrying out face recognition on an image of a viewfinder area; when a user face image is identified, acquiring a target image parameter value corresponding to the user face image; and executing corresponding image exposure processing on the image of the viewfinder frame area according to the logic comparison relation between the specified target image parameter value and the preset image parameter value.
The invention provides a solution for automatically brightening the portrait in the video shooting process when the skin color of a shot object is dark due to the fact that the portrait is easy to be exposed insufficiently because the portrait cannot be automatically brightened in the existing video recording process.
As shown in fig. 1, fig. 1 is a schematic diagram of a terminal structure of a video camera according to an embodiment of the present invention.
The video shooting device of the embodiment of the invention can be a mobile terminal device with video shooting and displaying functions, such as a smart phone, a digital camera, a video recorder, a tablet personal computer, a portable computer and the like.
As shown in fig. 1, the video photographing apparatus may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory (e.g., a magnetic disk memory). The memory 1005 may alternatively be a storage device separate from the processor 1001.
The video camera may include a camera, RF (radio frequency) circuitry, sensors, audio circuitry, a WiFi module, and the like. Such as light sensors, motion sensors, and other sensors. Specifically, the light sensor may include an ambient light sensor and a proximity sensor, and of course, the video camera may further be configured with other sensors such as a gyroscope, a barometer, a hygrometer, a thermometer, and an infrared sensor, which are not described herein again.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer storage medium, may include therein an operating system, a network communication module, a user interface module, and a video photographing program.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call the video capture program stored in the memory 1005 and perform the following operations:
when video shooting is started, carrying out face recognition on an image of a viewfinder area;
when a user face image is identified, acquiring a target image parameter value corresponding to the user face image;
and executing corresponding image exposure processing on the image of the viewfinder frame area according to the logic comparison relation between the specified target image parameter value and the preset image parameter value.
The image target parameter values can comprise a portrait area picture brightness FV in the face image of the user, an area picture brightness BV outside the face image of the user, and an area ratio R of the portrait area in the image area of the viewfinder area;
the preset image parameter values comprise the target brightness FT of the portrait area in the face image of the user, wherein the effective interval of the target brightness FT of the portrait area is that a is larger than or equal to FT and smaller than or equal to b.
Further, the processor 1001 may call a video shooting program stored in the memory 1005, and also perform the following operations:
let FT = a when FV < a;
and according to the FT, carrying out exposure compensation on a target area image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to a value a.
Further, the processor 1001 may call a video shooting program stored in the memory 1005, and also perform the following operations:
let FT = b when FV > b;
and according to the FT, carrying out exposure compensation on a target area image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to a value b.
Further, the processor 1001 may call a video shooting program stored in the memory 1005, and also perform the following operations:
when a is not less than FV not more than b, let FT = R FV + (1-R) BV;
and according to the FT, carrying out exposure compensation on a target area image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to the FT.
Further, the processor 1001 may call a video shooting program stored in the memory 1005, and also perform the following operations:
numbering each portrait corresponding to the identified facial image of the user;
and acquiring a target image parameter value of the portrait corresponding to the selected number in the image according to the number selected by the user.
Referring to fig. 2, a first embodiment of the present invention provides a video photographing method including:
step S10, when video shooting is started, performing face recognition on an image of the finder frame area;
step S20, when the user face image is identified, acquiring a target image parameter value corresponding to the user face image;
in specific implementation, when video shooting is carried out by using equipment with a video shooting function, such as a smart phone, a digital camera and the like, facial recognition is carried out on an image of a viewfinder area; the function selection of the face recognition can also be performed at a certain moment when the video is shot. Facial recognition methods may include, but are not limited to: a characteristic face identification method, a reference template method and a portrait rule method; in the embodiment of the present invention, it is preferable to detect a face in an Image and a position of the face in the Image by FD (fourier descriptors) using an ISP (Image Signal Processing) technique. The fourier descriptor method is conventional in the art and will not be described in further detail herein.
After the facial image of the user is identified, further acquiring a target image parameter value corresponding to the facial image, which may specifically include: the image processing method comprises the following steps of obtaining a portrait area image brightness FV in a user face image, an area image brightness BV outside the user face image, and an area ratio R of the portrait area in an image area of a viewfinder area.
And step S30, executing corresponding image exposure processing on the image of the viewfinder frame area according to the logic comparison relation between the designated target image parameter value and the preset image parameter value.
Specifically, the target image parameter value for performing the logical comparison is image area picture brightness FV, the preset image parameter value includes image area target brightness FT in the user face image, and an effective interval of the image area target brightness FT is that a is greater than or equal to FT and is less than or equal to b. By comparing the effective interval values of FV and FT, the corresponding target area image aiming at the viewfinder frame area can be obtained to carry out image brightening processing, thereby realizing automatic brightening of the portrait. For example, when FV < a, let FT = a, and according to the FT, exposure compensation is performed on the target area image of the finder frame area so that the human image area picture brightness FV is equal to a value a; in other words, when the actual brightness of the portrait area is lower than the target brightness, the portrait brightness is dark, and at this time, exposure compensation for the portrait may be performed to increase the portrait brightness. It should be noted that the viewfinder frame area image may further include a portrait area for specifying one or more portrait areas for image brightening processing when a plurality of portraits exist, and may further include an area screen image other than the user face image, for example, when the video shooting environment is dark, similar exposure compensation processing is performed on the environment screen.
In the embodiment, when the video shooting is started, the image of the viewfinder area is subjected to face recognition, and when the face image of a user is recognized, the corresponding target parameter value is acquired; and according to the logic comparison relation between the appointed target image parameter value and the preset image parameter value, corresponding image exposure processing is executed on the image of the view frame area, so that the problem of insufficient human image brightness of the shot video (especially the shot dark skin color human image) is solved, the video quality is improved, and the user experience is prompted.
Further, referring to fig. 3, a second embodiment of the present invention provides a video shooting method, based on the above embodiment shown in fig. 2, wherein the step of performing corresponding image exposure processing on the image of the finder frame area according to the logical comparison relationship between the specified target image parameter value and the preset image parameter value includes:
step S31, comparing the numerical value of the FV with the effective interval value of the FT;
step S32, when FV < a, let FT = a;
and step 33, performing exposure compensation on the image of the viewfinder frame area according to the FT, so that the image brightness FV of the portrait area is equal to a value a.
Step S34, when FV > b, let FT = b;
and step 35, performing exposure compensation on the image of the viewfinder frame area according to the FT, so that the image brightness FV of the portrait area is equal to a value b.
Step S36, when a is not less than FV not more than b, let FT = R FV + (1-R) BV;
and step 37, performing exposure compensation on the image of the viewfinder frame area according to the FT so as to enable the brightness FV of the portrait area to be equal to the FT.
For example, as shown in fig. 5 (a), the skin color of the portrait of the currently shot video is dark, that is, FV < a, at this time, FT is set to take the value of the lower limit value a of the original effective interval, and exposure compensation is performed on the image of the finder frame area according to the FT, so that the brightness FV of the portrait area is equal to the value a. Thus, as shown in fig. 5 (b), the portrait can be correspondingly brightened, and the contrast and display effect of the portrait picture are enhanced accordingly. When the brightness of the portrait is too high due to skin color, lighting irradiation and the like, the brightness of the portrait can be properly reduced through exposure compensation so as to enable the portrait to be coordinated with the environmental background.
In the embodiment, the numerical value of FV and the effective interval value of FT are logically compared, and the exposure compensation processing is performed on the image in the viewing frame area, so that the brightness of the portrait is improved or reduced, and the portrait in the video picture is more obvious and clear and is more harmonious with the environmental background.
Referring to fig. 4, a third embodiment of the present invention provides a video shooting method, based on the embodiment shown in fig. x, where the step of acquiring a target image parameter value corresponding to a user face image when the user face image is identified includes:
step S21, numbering each portrait corresponding to the identified face image of the user;
step S22, according to the number selected by the user, obtains the target image parameter value of the portrait corresponding to the selected number in the image.
In video shooting, a plurality of human images may exist in a picture of a finder frame area. If the skin color of some portrait is dark and the skin color of some portrait is normal, the user hopes to carry out image lightening processing according to the portrait with dark skin color. At this time, each portrait corresponding to the identified face image of the user may be numbered according to the face recognition technology, and the user may select one or more portraits by himself or herself and further obtain target image parameter values of the corresponding portraits. It should be noted that, when a plurality of figures are selected, the target image parameter value ultimately used as a basis for the image exposure processing may be a weighted average of the target image parameter values of the respective selected figures.
In the embodiment, the identified portrait is selected in a targeted manner, and the target image parameter value of the selected portrait is acquired, so that the parameter value according to the image compensation processing is favorably refined, and the video image is optimized more accurately.
Furthermore, an embodiment of the present invention further provides a computer-readable storage medium, where a video shooting program is stored on the computer-readable storage medium, and when executed by a processor, the video shooting program implements the following operations:
when video shooting is started, carrying out face recognition on an image of a viewfinder area;
when a user face image is identified, acquiring a target image parameter value corresponding to the user face image;
and executing corresponding image exposure processing on the image of the viewfinder frame area according to the logic comparison relation between the specified target image parameter value and the preset image parameter value.
Wherein the target image parameter values corresponding to the user face image comprise: the image processing method comprises the following steps of obtaining image area image brightness FV in a user face image, image brightness BV of an area except the user face image and area ratio R of the image area in a viewfinder area;
the preset image parameter values comprise the target brightness FT of the portrait area in the face image of the user, wherein the effective interval of the target brightness FT of the portrait area is that a is larger than or equal to FT and smaller than or equal to b.
Further, the video capture program when executed by the processor further performs the following operations:
comparing the numerical value of the FV with the effective interval value of the FT;
let FT = a when FV < a;
and according to the FT, carrying out exposure compensation on the image of the viewfinder frame area so that the image brightness FV of the portrait area is equal to a value a.
Further, the video capture program when executed by the processor further performs the following operations:
let FT = b when FV > b;
and according to the FT, carrying out exposure compensation on the image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to a value b.
Further, the video capture program when executed by the processor further performs the following operations:
when a is not less than FV not more than b, let FT = R FV + (1-R) BV;
and according to the FT, carrying out exposure compensation on the image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to the FT.
Further, the video capture program when executed by the processor further performs the following operations:
numbering each portrait corresponding to the identified facial image of the user;
and acquiring a target image parameter value of the portrait corresponding to the selected number in the image according to the number selected by the user.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for causing a terminal device to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (8)
- A video capture method, comprising:when video shooting is started, carrying out face recognition on an image of a viewfinder area;when a user face image is identified, acquiring a target image parameter value corresponding to the user face image;and executing corresponding image exposure processing on the image of the viewfinder frame area according to the logic comparison relation between the specified target image parameter value and the preset image parameter value.
- The video capturing method of claim 1, wherein the target image parameter values corresponding to the user face image include: the image processing method comprises the following steps of obtaining image area image brightness FV in a user face image, image brightness BV of an area except the user face image and area ratio R of the image area in a viewfinder area;the preset image parameter values comprise the target brightness FT of the portrait area in the face image of the user, wherein the effective interval of the target brightness FT of the portrait area is that a is larger than or equal to FT and smaller than or equal to b.
- The video shooting method of any one of claims 1 or 2, wherein the step of performing corresponding image exposure processing on the image of the finder frame area according to the logical comparison relationship of the designated target image parameter value and the preset image parameter value comprises:comparing the numerical value of the FV with the effective interval value of the FT;let FT = a when FV < a;and according to the FT, carrying out exposure compensation on the image of the viewfinder frame area so that the image brightness FV of the portrait area is equal to a value a.
- The video capture method of claim 3, wherein said step of comparing said FV value to said FT valid interval value further comprises:let FT = b when FV > b;and according to the FT, carrying out exposure compensation on a target area image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to a value b.
- The video capture method of claim 3, wherein the step of comparing the value of the FV to the valid interval value of the FT further comprises:when a is not less than FV not more than b, let FT = R FV + (1-R) BV;and according to the FT, carrying out exposure compensation on a target area image of the viewfinder frame area so as to enable the image brightness FV of the portrait area to be equal to the FT.
- The video shooting method according to claim 1, wherein the step of acquiring the target image parameter value corresponding to the user face image when the user face image is recognized includes:numbering each portrait corresponding to the identified facial image of the user;and acquiring a target image parameter value of the portrait corresponding to the selected number in the image according to the number selected by the user.
- A video camera, characterized in that the video camera comprises: a camera, a memory, a processor, and a video capture device stored on the memory and operable on the processor, wherein:the camera is used for shooting videos;the video capture device when executed by the processor performs the steps of the video capture method of any of claims 1 to 6.
- A computer-readable storage medium, characterized in that the computer-readable storage medium has stored thereon a video shooting program which, when executed by a processor, implements the steps of the video shooting method according to any one of claims 1 to 6.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/CN2017/105162 WO2019061542A1 (en) | 2017-09-30 | 2017-09-30 | Video capturing method and device, and computer readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111543047A true CN111543047A (en) | 2020-08-14 |
Family
ID=65903435
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201780097112.5A Pending CN111543047A (en) | 2017-09-30 | 2017-09-30 | Video shooting method and device and computer readable storage medium |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN111543047A (en) |
| WO (1) | WO2019061542A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112511743A (en) * | 2020-11-25 | 2021-03-16 | 南京维沃软件技术有限公司 | Video shooting method and device |
| CN113766260A (en) * | 2021-08-24 | 2021-12-07 | 武汉瓯越网视有限公司 | Face automatic exposure optimization method, storage medium, electronic device and system |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9131150B1 (en) * | 2014-06-06 | 2015-09-08 | Amazon Technologies, Inc. | Automatic exposure control and illumination for head tracking |
| CN105049726A (en) * | 2015-08-05 | 2015-11-11 | 广东欧珀移动通信有限公司 | Mobile terminal shooting method and mobile terminal |
| CN105227823A (en) * | 2014-06-03 | 2016-01-06 | 维科技术有限公司 | The image pickup method of mobile terminal and device thereof |
| CN105516613A (en) * | 2015-12-07 | 2016-04-20 | 凌云光技术集团有限责任公司 | Intelligent exposure method and system based on face recognition |
| CN106210523A (en) * | 2016-07-22 | 2016-12-07 | 浙江宇视科技有限公司 | A kind of exposure adjustment method and device |
| CN106231178A (en) * | 2016-07-22 | 2016-12-14 | 维沃移动通信有限公司 | A kind of self-timer method and mobile terminal |
| US20170142330A1 (en) * | 2011-12-15 | 2017-05-18 | The Nielsen Company (Us), Llc | Methods and apparatus to capture images |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103458219A (en) * | 2013-09-02 | 2013-12-18 | 小米科技有限责任公司 | Method, device and terminal device for adjusting face in video call |
| JP6343200B2 (en) * | 2014-07-31 | 2018-06-13 | キヤノン株式会社 | Imaging apparatus, control method therefor, and program |
| CN104580901B (en) * | 2014-12-25 | 2018-07-06 | 魅族科技（中国）有限公司 | Determine the method and terminal of acquisition parameters |
-
2017
- 2017-09-30 WO PCT/CN2017/105162 patent/WO2019061542A1/en active Application Filing
- 2017-09-30 CN CN201780097112.5A patent/CN111543047A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20170142330A1 (en) * | 2011-12-15 | 2017-05-18 | The Nielsen Company (Us), Llc | Methods and apparatus to capture images |
| CN105227823A (en) * | 2014-06-03 | 2016-01-06 | 维科技术有限公司 | The image pickup method of mobile terminal and device thereof |
| US9131150B1 (en) * | 2014-06-06 | 2015-09-08 | Amazon Technologies, Inc. | Automatic exposure control and illumination for head tracking |
| CN105049726A (en) * | 2015-08-05 | 2015-11-11 | 广东欧珀移动通信有限公司 | Mobile terminal shooting method and mobile terminal |
| CN105516613A (en) * | 2015-12-07 | 2016-04-20 | 凌云光技术集团有限责任公司 | Intelligent exposure method and system based on face recognition |
| CN106210523A (en) * | 2016-07-22 | 2016-12-07 | 浙江宇视科技有限公司 | A kind of exposure adjustment method and device |
| CN106231178A (en) * | 2016-07-22 | 2016-12-14 | 维沃移动通信有限公司 | A kind of self-timer method and mobile terminal |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112511743A (en) * | 2020-11-25 | 2021-03-16 | 南京维沃软件技术有限公司 | Video shooting method and device |
| CN112511743B (en) * | 2020-11-25 | 2022-07-22 | 南京维沃软件技术有限公司 | Video shooting method and device |
| CN113766260A (en) * | 2021-08-24 | 2021-12-07 | 武汉瓯越网视有限公司 | Face automatic exposure optimization method, storage medium, electronic device and system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2019061542A1 (en) | 2019-04-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US8913156B2 (en) | Capturing apparatus and method of capturing image | |
| US20210343070A1 (en) | Method, apparatus and electronic device for processing image | |
| US20170287188A1 (en) | Method and apparatus for intelligently capturing image | |
| JP6335289B2 (en) | Method and apparatus for generating an image filter | |
| KR102263537B1 (en) | Electronic device and control method of the same | |
| CN105554372B (en) | Shooting method and device | |
| CN107566749B (en) | Shooting method and mobile terminal | |
| US9779290B2 (en) | Detecting apparatus, detecting method and computer readable recording medium recording program for detecting state in predetermined area within images | |
| WO2022042776A1 (en) | Photographing method and terminal | |
| CN107395957B (en) | Photographing method and device, storage medium and electronic equipment | |
| US11156902B2 (en) | Method for automatically focusing on target object, photographic apparatus including automatic focus function, and computer readable medium storing automatic focus function program | |
| CN110572706B (en) | Video screenshot method, terminal and computer-readable storage medium | |
| WO2022110837A1 (en) | Image processing method and device | |
| EP3113071A1 (en) | Method and device for acquiring iris image | |
| CN107360366B (en) | Photographing method and device, storage medium and electronic equipment | |
| US10187566B2 (en) | Method and device for generating images | |
| CN113411498B (en) | Image shooting method, mobile terminal and storage medium | |
| WO2016206344A1 (en) | White balance correction method, device and computer storage medium | |
| CN107147851B (en) | Photo processing method and device, computer readable storage medium and electronic equipment | |
| US10009545B2 (en) | Image processing apparatus and method of operating the same | |
| CN111543047A (en) | Video shooting method and device and computer readable storage medium | |
| CN110996078A (en) | Image acquisition method, terminal and readable storage medium | |
| CN110581950A (en) | Camera, system and method for selecting camera settings | |
| CN111567034A (en) | Exposure compensation method, device and computer readable storage medium | |
| CN109862286B (en) | Image display method, device, equipment and computer storage medium |
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: 20200814 |