CN106210545A - Video shooting method and device and electronic equipment - Google Patents
Video shooting method and device and electronic equipment Download PDFInfo
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- CN106210545A CN106210545A CN201610702583.1A CN201610702583A CN106210545A CN 106210545 A CN106210545 A CN 106210545A CN 201610702583 A CN201610702583 A CN 201610702583A CN 106210545 A CN106210545 A CN 106210545A
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- paster
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- information
- facial information
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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
- H04N23/61—Control of cameras or camera modules based on recognised objects
- H04N23/611—Control of cameras or camera modules based on recognised objects where the recognised objects include parts of the human body
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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
- H04N23/80—Camera processing pipelines; Components thereof
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Abstract
The embodiment of the invention discloses a video shooting method, which comprises the following steps: acquiring face information of a user; identifying the facial information, and searching an image sticker type matched with the facial information from a preset sticker library; and processing the shot video image by using the searched image sticker type. The embodiment of the invention also discloses a video shooting device and electronic equipment. By adopting the embodiment of the invention, the video shooting speed can be improved.
Description
Technical field
The present invention relates to electronic technology field, particularly relate to a kind of video capture method, device and electronic equipment.
Background technology
Along with universalness and the development of 4G network technology of mobile Internet, short video sharing has become as social flat
Important social mode on platform, user is increasingly accustomed in social platform making and shares the short-sighted frequency of viewing.User can regard
Frequently in image, some image pasters are added in suitable position, increase the interest of video image, for example, it is possible in video image
Face add image paster, but, these image pasters are typically all and are provided by designer, need user oneself to go choosing
Select the image paster liked, if the quantity of image paster is the biggest, it is necessary to user effort long time goes to search suitably
Image paster, affects the speed of video capture.
Summary of the invention
The embodiment of the present invention provides a kind of video capture method, device and electronic equipment.User can be solved and search image
The problem that paster causes affecting video capture speed.
First aspect present invention provides a kind of video capture method, including:
Obtain the facial information of user；
Identify described facial information, from default paster storehouse, search the image paster class mated with described facial information
Type；
Use the described image paster type found that the video image of shooting is processed.
Wherein, described image paster type includes multiple image paster, and the described facial information of described identification, from default patch
After the image paster type mated with described facial information is searched in paper storehouse, also include:
The plurality of image paster that display finds, and point out described user to select from the plurality of image paster；
The described image paster type that described use finds carries out process to the video image of shooting and includes:
When the selection for the target image paster in the plurality of image paster detecting that user inputs instructs, make
With described target image paster, described video image is processed.
Wherein, the described facial information of described identification, from default paster storehouse, search the figure mated with described facial information
As paster type includes:
Multiple Information locating point is chosen from described facial information；
Extract the characteristic information of each Information locating point in the plurality of Information locating point respectively；
According to the described characteristic information of described each Information locating point, determine user characteristics；
The image paster type corresponding with described user characteristics is searched from default paster storehouse.
Wherein, the described image paster type that described use finds carries out process to the video image of shooting and includes:
Obtain the voice messaging of user；
Identify described voice messaging, described voice messaging is converted into control instruction；
Respond described control instruction, control video capture and use the described image paster type found that shooting is regarded
Frequently image processes.
Wherein, the described voice messaging of described identification, described voice messaging is converted into control instruction and includes:
The control voice mated with described voice messaging is searched from default sound template storehouse；
Determine the control instruction corresponding to described control voice.
Wherein, the described voice messaging of described identification, described voice messaging is converted into control instruction and includes:
Obtain the speech speed of described voice messaging；
Determine that whether described speech speed is less than pre-set velocity threshold value；
If described speech speed is less than described pre-set velocity threshold value, then described voice messaging is converted into described control and refers to
Order.
Correspondingly, second aspect present invention provides a kind of video capture square law device, including:
Data obtaining module, for obtaining the facial information of user；
Paster searches module, is used for identifying described facial information, searches and described facial information from default paster storehouse
The image paster type of coupling；
Image processing module, for using at the described image paster type the found video image to shooting
Reason.
Wherein, described image paster type includes multiple image paster, and described device also includes:
Paster display module, the plurality of image paster found for display, and point out described user from described many
Individual image paster selects；
Described image processing module specifically for:
When the selection for the target image paster in the plurality of image paster detecting that user inputs instructs, make
With described target image paster, described video image is processed.
Wherein, described paster search module specifically for:
Multiple Information locating point is chosen from described facial information；
Extract the characteristic information of each Information locating point in the plurality of Information locating point respectively；
According to the described characteristic information of described each Information locating point, determine user biological feature；
The image paster type corresponding with described user biological feature is searched from default paster storehouse.
Wherein, described image processing module includes:
Voice acquiring unit, for obtaining the voice messaging of user；
Voice recognition unit, is used for identifying described voice messaging, described voice messaging is converted into control instruction；
Instruction response unit, is used for responding described control instruction, controls video capture and uses the described image found
The video image of shooting is processed by paster type.
Wherein, described voice recognition unit specifically for:
The control voice mated with described voice messaging is searched from default sound template storehouse；
Determine the control instruction corresponding to described control voice.
Wherein, described voice recognition unit specifically for:
Obtain the speech speed of described voice messaging；
Determine that whether described speech speed is less than pre-set velocity threshold value；
If described speech speed is less than described pre-set velocity threshold value, then described voice messaging is converted into described control and refers to
Order.
Correspondingly, third aspect present invention provides a kind of electronic equipment, including: processor, memorizer, communication interface and
Bus；
Described processor, described memorizer and described communication interface are connected by described bus and complete mutual leading to
Letter；
Described memorizer storage executable program code；
Described processor is run by the executable program code of storage in the described memorizer of reading and performs with described
The program that program code is corresponding, for:
Obtain the facial information of user；
Identify described facial information, from default paster storehouse, search the image paster class mated with described facial information
Type；
Use the described image paster type found that the video image of shooting is processed.
Correspondingly, embodiments providing a kind of storage medium, wherein, described storage medium is used for storing application journey
Sequence, described application program is for operationally performing a kind of video capture method disclosed in embodiment of the present invention first aspect.
Correspondingly, embodiments providing a kind of application program, wherein, described application program is for operationally holding
A kind of video capture method disclosed in row embodiment of the present invention first aspect.
Implement the embodiment of the present invention, first obtain the facial information of user；Then described facial information is identified, from default
Paster storehouse is searched the image paster type mated with described facial information；Finally use the described image paster type found
The video image of shooting is processed.Realize automatically searching rational image paster by the facial information of user, reduce
User searches the time that great amount of images paster is consumed, thus improves the speed of video capture.
Accompanying drawing explanation
In order to be illustrated more clearly that the technical scheme of the embodiment of the present invention, required use in embodiment being described below
Accompanying drawing be briefly described, it should be apparent that, below describe in accompanying drawing be some embodiments of the present invention, for this area
From the point of view of those of ordinary skill, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of a kind of video capture method that first embodiment of the invention proposes；
Fig. 2 is the schematic flow sheet of a kind of video capture method that second embodiment of the invention proposes；
Fig. 3 is the structural representation of a kind of video capture device that the embodiment of the present invention proposes；
Fig. 4 is the structural representation of image processing module in the device that the embodiment of the present invention proposes；
Fig. 5 is the structural representation of a kind of electronic equipment that the embodiment of the present invention proposes.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is a part of embodiment of the present invention rather than whole embodiments wholely.Based on this
Embodiment in bright, the every other enforcement that those of ordinary skill in the art are obtained under not making creative work premise
Example, broadly falls into the scope of protection of the invention.
Refer to the schematic flow sheet that Fig. 1, Fig. 1 are a kind of video capture methods that first embodiment of the invention proposes.As
Shown in figure, the method in the embodiment of the present invention includes:
S101, obtains the facial information of user.
In implementing, can first start video capture application, then open the preview interface of video capture, start
During recorded video data or during recorded video data, obtained the face letter of user by the photographic head of electronic equipment
Breath, it is also possible under not starting video capture applicable cases, by the camera head monitor user's face of electronic equipment, and then obtain
Take the facial information at family.
Optionally, before obtaining the facial information of user, can detect whether user starts video image processing scheme,
When the enabled instruction for video image processing scheme being detected, start video image processing scheme, at described video image
Reason pattern is the pattern that image paster processes video image.
S102, identifies described facial information, searches the image patch mated with described facial information from default paster storehouse
Sheet type.
In implementing, multiple Information locating point can be chosen from described facial information；Extract the plurality of letter respectively
The characteristic information of each Information locating point in breath anchor point；According to the described characteristic information of described each Information locating point, determine
User characteristics；Searching the image paster type corresponding with described user characteristics from default paster storehouse, wherein, user characteristics can
To include the size of eyes, the size of nose, the size of face, the fat or thin degree of face, age of user, sex etc..
For example, it is possible to by upper eyelid, the position of lower eyelid central point, the position of the left and right wing of nose, upper lip, lower lip, mouth
In the position at angle, face profile, chin, face Far Left and rightmost position are as Information locating point, by these Information locating points
Characteristic information calculate the size of eyes of user, the size of nose, the size of face, the fat or thin degree of face, age of user, property
Not etc..When identifying user characteristics and being women, can to user recommend lovely, make fun, cartoon, child bless language type
Image paster；When identifying user characteristics and being female middle-aged, can recommend to make fun to user, art, plant, middle age are wished
The image paster of good fortune language type；When identifying user characteristics and being old women, can to user recommend art, red-letter day, plant,
Animal, old people bless the image paster of language type；When identifying user characteristics and being girl, big face, oxeye, Ke Yixiang
User recommend lovely, make fun, cartoon, big face style, the image paster of oxeye stylistic category.
Optionally, before obtaining the facial information of user, first all image pasters can be divided into multiple image
Paster type, then receives the user characteristics of user's input, sets up corresponding by every kind of image paster type with every kind of user characteristics
Relation and then set up described paster storehouse.
For example, it is possible to first by all image pasters according to lovely, make fun, cartoon, art, animal, plant, red-letter day, wear
More, foreign lands' landscape, child bless that language, adolescence's blessing language, middle age blessing language, old people bless language, big face style, little face
Style, oxeye style, pigsney style, russian style, spur style etc. divide, then by lovely, make fun,
Cartoon, big face style, the image paster of oxeye stylistic category are set up corresponding with girl, big face, ox-eyed user characteristics
Relation；Art, red-letter day, plant, animal, old people are blessed that the image paster of language type is set up with the user characteristics of old women
Corresponding relation etc..
Optionally, described image paster type includes multiple image paster, searches and described from default paster storehouse
After the image paster type of portion's information matches, the plurality of image paster found can be shown, and point out described user
Select from the plurality of image paster.
S103, uses the described image paster type found to process the video image of shooting.
In implementing, after finding out the image paster type mated with described facial information, image can be pasted
Corresponding position in video image placed by paper, and then obtains the video image processed through image paster, thus increases video
Glasses for example, it is possible to be attached on hair by headwear, are attached to eyes, by cartoon toy in advance by the individual demand of image
Being placed into initial position, user can be with the position of oneself regulation cartoon toy.It should be noted that image paster can be static
, it is also possible to being dynamic, and it is possible to automatically control the frame per second of dynamic image paster, such as, eyelashes and hair show dynamically
Bandwagon effect.
Optionally, after the plurality of image paster that finds of display, when detect that user inputs for described
When the selection of the target image paster in multiple image pasters instructs, use described target image paster that described video image is entered
Row processes.
In embodiments of the present invention, the facial information of user is first obtained；Then described facial information is identified, from default
Paster storehouse is searched the image paster type mated with described facial information；Finally use the described image paster type found
The video image of shooting is processed.Realize automatically searching rational image paster by the facial information of user, reduce
User searches the time that great amount of images paster is consumed, thus improves the speed of video capture.
Refer to the schematic flow sheet that Fig. 2, Fig. 2 are a kind of video capture methods that first embodiment of the invention proposes.As
Shown in figure, the method in the embodiment of the present invention includes:
S201, obtains the facial information of user.
In implementing, can first start video capture application, then open the preview interface of video capture, start
During recorded video data or during recorded video data, obtained the face letter of user by the photographic head of electronic equipment
Breath, it is also possible under not starting video capture applicable cases, by the camera head monitor user's face of electronic equipment, and then obtain
Take the facial information at family.
Optionally, before obtaining the facial information of user, can detect whether user starts video image processing scheme,
When the enabled instruction for video image processing scheme being detected, start video image processing scheme, at described video image
Reason pattern is the pattern that image paster processes video image.
S202, identifies described facial information, searches the image patch mated with described facial information from default paster storehouse
Sheet type.
In implementing, multiple Information locating point can be chosen from described facial information；Extract the plurality of letter respectively
The characteristic information of each Information locating point in breath anchor point；According to the described characteristic information of described each Information locating point, determine
User characteristics；Searching the image paster type corresponding with described user characteristics from default paster storehouse, wherein, user characteristics can
To include the size of eyes, the size of nose, the size of face, the fat or thin degree of face, age of user, sex etc..
For example, it is possible to by upper eyelid, the position of lower eyelid central point, the position of the left and right wing of nose, upper lip, lower lip, mouth
In the position at angle, face profile, chin, face Far Left and rightmost position are as Information locating point, by these Information locating points
Characteristic information calculate the size of eyes of user, the size of nose, the size of face, the fat or thin degree of face, age of user, property
Not etc..When identifying user characteristics and being women, can to user recommend lovely, make fun, cartoon, child bless language type
Image paster；When identifying user characteristics and being female middle-aged, can recommend to make fun to user, art, plant, middle age are wished
The image paster of good fortune language type；When identifying user characteristics and being old women, can to user recommend art, red-letter day, plant,
Animal, old people bless the image paster of language type；When identifying user characteristics and being girl, big face, oxeye, Ke Yixiang
User recommend lovely, make fun, cartoon, big face style, the image paster of oxeye stylistic category.
Optionally, before obtaining the facial information of user, first all image pasters can be divided into multiple image
Paster type, then receives the user characteristics of user's input, sets up corresponding by every kind of image paster type with every kind of user characteristics
Relation and then set up described paster storehouse.
For example, it is possible to first by all image pasters according to lovely, make fun, cartoon, art, animal, plant, red-letter day, wear
More, foreign lands' landscape, child bless that language, adolescence's blessing language, middle age blessing language, old people bless language, big face style, little face
Style, oxeye style, pigsney style, russian style, spur style etc. divide, then by lovely, make fun,
Cartoon, big face style, the image paster of oxeye stylistic category are set up corresponding with girl, big face, ox-eyed user characteristics
Relation；Art, red-letter day, plant, animal, old people are blessed that the image paster of language type is set up with the user characteristics of old women
Corresponding relation etc..
Optionally, described image paster type includes multiple image paster, searches and described from default paster storehouse
After the image paster type of portion's information matches, the plurality of image paster found can be shown, and point out described user
Select from the plurality of image paster.
S203, obtains the voice messaging of user.
In implementing, can detect whether user starts voice during shooting video or before shooting video
Control model, when the open command of Voice command pattern that user inputs being detected, starts described Voice command pattern, and then
Obtaining the voice messaging of user, described Voice command pattern is the operator scheme by video capture described in Voice command.
S204, identifies described voice messaging, and described voice messaging is converted into control instruction.
In implementing, the control voice mated with described voice messaging can be searched from default sound template storehouse；
Determine the control instruction corresponding to described control voice.Wherein, the sound template storehouse preset includes the various control of typing in advance
Voice, and every kind of control voice correspondence one control instruction, sound template storehouse can include the voice messaging of polyglot.
Optionally, the speech speed of described voice messaging can be obtained；Determine that whether described speech speed is less than presetting speed
Degree threshold value；If described speech speed is less than described pre-set velocity threshold value, then described voice messaging is converted into described control instruction,
If described speech speed is not less than described pre-set velocity threshold value, the most no longer perform operations described below step.Wherein it is possible to obtain user
The time span of input voice information and the number of words of voice messaging, by the time span of voice messaging divided by the word of voice messaging
Number is calculated speech speed.
S205, responds described control instruction, controls video capture and uses the described image paster type found to bat
The video image taken the photograph processes.
Such as, first, " starting " when user says voice messaging, computer identifies by the way of speech recognition
Controlling voice " to start ", and determine that this control voice " starts " corresponding control instruction " character string start ", program exists
After reading " character string start ", start to be written in disk file each frame photographed data got, wherein, magnetic
Dish file is the memory space of a piece of distribution on disk, for being put the video data of shooting by Video coding stock.Then,
" suspending " when user says voice messaging, computer identifies control voice by the way of speech recognition and " suspends temporarily
Stop ", and determine that this control voice " suspends " corresponding control instruction " character string pause ", program is reading " character string
Pause " after, suspend and write video data in disk file；Finally, " stop " when user says voice messaging, meter
Calculation machine identifies control voice by the way of speech recognition " to be stopped ", and it is corresponding to determine that this control voice " stops "
Control instruction " character string end ", program, after reading " character string end ", exits the preview interface of video capture.
During above by Voice command video capture, image paster can be placed in video image corresponding
Position, and then obtain the video image processed through image paster, thus increase the individual demand of video image, such as,
Can be attached on hair by headwear, glasses are attached to eyes, cartoon toy is previously laid into initial position, user is permissible
The position of oneself regulation cartoon toy.It should be noted that image paster can be static, it is also possible to be dynamic, and,
The frame per second of dynamic image paster, such as, eyelashes and hair display Dynamic Display effect can be automatically controlled.
In embodiments of the present invention, the facial information of user is first obtained；Then described facial information is identified, from default
Paster storehouse is searched the image paster type mated with described facial information；Finally by Voice command video capture, and use
The video image of shooting is processed by the described image paster type found, and minimizing user searches great amount of images paster and disappeared
The time of consumption, improve the speed of video capture.Increase the individual demand of video image.
Refer to the structural representation that Fig. 3, Fig. 3 are a kind of video capture devices that the embodiment of the present invention proposes.As schemed
Showing, the device in the embodiment of the present invention includes:
Data obtaining module 301, for obtaining the facial information of user.
In implementing, can first start video capture application, then open the preview interface of video capture, start
During recorded video data or during recorded video data, obtained the face letter of user by the photographic head of electronic equipment
Breath, it is also possible under not starting video capture applicable cases, by the camera head monitor user's face of electronic equipment, and then obtain
Take the facial information at family.
Optionally, before obtaining the facial information of user, can detect whether user starts video image processing scheme,
When the enabled instruction for video image processing scheme being detected, start video image processing scheme, at described video image
Reason pattern is the pattern that image paster processes video image.
Paster searches module 302, is used for identifying described facial information, searches and described face letter from default paster storehouse
The image paster type of breath coupling.
In implementing, multiple Information locating point can be chosen from described facial information；Extract the plurality of letter respectively
The characteristic information of each Information locating point in breath anchor point；According to the described characteristic information of described each Information locating point, determine
User characteristics；Searching the image paster type corresponding with described user characteristics from default paster storehouse, wherein, user characteristics can
To include the size of eyes, the size of nose, the size of face, the fat or thin degree of face, age of user, sex etc..
For example, it is possible to by upper eyelid, the position of lower eyelid central point, the position of the left and right wing of nose, upper lip, lower lip, mouth
In the position at angle, face profile, chin, face Far Left and rightmost position are as Information locating point, by these Information locating points
Characteristic information calculate the size of eyes of user, the size of nose, the size of face, the fat or thin degree of face, age of user, property
Not etc..When identifying user characteristics and being women, can to user recommend lovely, make fun, cartoon, child bless language type
Image paster；When identifying user characteristics and being female middle-aged, can recommend to make fun to user, art, plant, middle age are wished
The image paster of good fortune language type；When identifying user characteristics and being old women, can to user recommend art, red-letter day, plant,
Animal, old people bless the image paster of language type；When identifying user characteristics and being girl, big face, oxeye, Ke Yixiang
User recommend lovely, make fun, cartoon, big face style, the image paster of oxeye stylistic category.
Optionally, before obtaining the facial information of user, first all image pasters can be divided into multiple image
Paster type, then receives the user characteristics of user's input, sets up corresponding by every kind of image paster type with every kind of user characteristics
Relation and then set up described paster storehouse.
For example, it is possible to first by all image pasters according to lovely, make fun, cartoon, art, animal, plant, red-letter day, wear
More, foreign lands' landscape, child bless that language, adolescence's blessing language, middle age blessing language, old people bless language, big face style, little face
Style, oxeye style, pigsney style, russian style, spur style etc. divide, then by lovely, make fun,
Cartoon, big face style, the image paster of oxeye stylistic category are set up corresponding with girl, big face, ox-eyed user characteristics
Relation；Art, red-letter day, plant, animal, old people are blessed that the image paster of language type is set up with the user characteristics of old women
Corresponding relation etc..
Optionally, described image paster type includes multiple image paster, searches and described from default paster storehouse
After the image paster type of portion's information matches, the plurality of image paster found can be shown, and point out described user
Select from the plurality of image paster.
Image processing module 303, for using the described image paster type found to carry out the video image of shooting
Process.
In implementing, after finding out the image paster type mated with described facial information, image can be pasted
Corresponding position in video image placed by paper, and then obtains the video image processed through image paster, thus increases video
Glasses for example, it is possible to be attached on hair by headwear, are attached to eyes, by cartoon toy in advance by the individual demand of image
Being placed into initial position, user can be with the position of oneself regulation cartoon toy.It should be noted that image paster can be static
, it is also possible to it is dynamic, and it is possible to automatically control the frame per second of dynamic image paster.Such as, eyelashes and hair show dynamically
Bandwagon effect.
Optionally, after the plurality of image paster that finds of display, when detect that user inputs for described
When the selection of the target image paster in multiple image pasters instructs, use described target image paster that described video image is entered
Row processes.
Optionally, as shown in Figure 4, image processing module 303 can further include:
Voice acquiring unit 401, for obtaining the voice messaging of user.
In implementing, can detect whether user starts voice during shooting video or before shooting video
Control model, when the open command of Voice command pattern that user inputs being detected, starts described Voice command pattern, and then
Obtaining the voice messaging of user, described Voice command pattern is the operator scheme by video capture described in Voice command.
Voice recognition unit 402, is used for identifying described voice messaging, described voice messaging is converted into control instruction.
In implementing, the control voice mated with described voice messaging can be searched from default sound template storehouse；
Determine the control instruction corresponding to described control voice.Wherein, the sound template storehouse preset includes the various control of typing in advance
Voice, and every kind of control voice correspondence one control instruction, sound template storehouse can include the voice messaging of polyglot.
Optionally, the speech speed of described voice messaging can be obtained；Determine that whether described speech speed is less than presetting speed
Degree threshold value；If described speech speed is less than described pre-set velocity threshold value, then described voice messaging is converted into described control instruction,
If described speech speed is not less than described pre-set velocity threshold value, the most no longer perform operations described below step.Wherein it is possible to obtain user
The time span of input voice information and the number of words of voice messaging, by the time span of voice messaging divided by the word of voice messaging
Number is calculated speech speed.
Instruction response unit 403, is used for responding described control instruction, controls video capture and uses the described figure found
As the video image of shooting is processed by paster type.
Such as, first, " starting " when user says voice messaging, computer identifies by the way of speech recognition
Controlling voice " to start ", and determine that this control voice " starts " corresponding control instruction " character string start ", program exists
After reading " character string start ", start to be written in disk file each frame photographed data got, wherein, magnetic
Dish file is the memory space of a piece of distribution on disk, for being put the video data of shooting by Video coding stock.Then,
" suspending " when user says voice messaging, computer identifies control voice by the way of speech recognition and " suspends temporarily
Stop ", and determine that this control voice " suspends " corresponding control instruction " character string pause ", program is reading " character string
Pause " after, suspend and write video data in disk file；Finally, " stop " when user says voice messaging, meter
Calculation machine identifies control voice by the way of speech recognition " to be stopped ", and it is corresponding to determine that this control voice " stops "
Control instruction " character string end ", program, after reading " character string end ", exits the preview interface of video capture.
During above by Voice command video capture, use the described image paster type found to shooting
Video image process.
In embodiments of the present invention, the facial information of user is first obtained；Then described facial information is identified, from default
Paster storehouse is searched the image paster type mated with described facial information；Finally use the described image paster type found
The video image of shooting is processed.Realize automatically searching rational image paster by the facial information of user, reduce
User searches the time that great amount of images paster is consumed, thus improves the speed of video capture.
Refer to the structural representation that Fig. 5, Fig. 5 are a kind of electronic equipments that the embodiment of the present invention proposes.As it can be seen, should
Electronic equipment may include that at least one processor 501, such as CPU, at least one receptor 503, at least one memorizer
504, at least one transmitter 505, at least one communication bus 502.Wherein, communication bus 502 be used for realizing these assemblies it
Between connection communication.Wherein, in the embodiment of the present invention, receptor 503 and the transmitter 505 of electronic equipment can be wired transmissions
Port, it is also possible to for wireless device, such as, include antenna assembly, for carrying out the logical of signaling or data with other node devices
Letter.Memorizer 504 can be high-speed RAM memorizer, it is also possible to be non-labile memorizer (non-volatile
Memory), for example, at least one disk memory.Memorizer 504 optionally can also is that at least one is located remotely from aforementioned place
The storage device of reason device 501.Memorizer 504 stores batch processing code, and processor 501 is used for calling in memorizer storage
Program code, be used for performing following operation:
Obtain the facial information of user；
Identify described facial information, from default paster storehouse, search the image paster class mated with described facial information
Type；
Use the described image paster type found that the video image of shooting is processed.
Wherein, processor 501 is additionally operable to perform following operating procedure:
The plurality of image paster that display finds, and point out described user to select from the plurality of image paster；
When the selection for the target image paster in the plurality of image paster detecting that user inputs instructs, make
With described target image paster, described video image is processed.
Wherein, processor 501 is additionally operable to perform following operating procedure:
Multiple Information locating point is chosen from described facial information；
Extract the characteristic information of each Information locating point in the plurality of Information locating point respectively；
According to the described characteristic information of described each Information locating point, determine user characteristics；
The image paster type corresponding with described user characteristics is searched from default paster storehouse.
Wherein, processor 501 is additionally operable to perform following operating procedure:
Obtain the voice messaging of user；
Identify described voice messaging, described voice messaging is converted into control instruction；
Respond described control instruction, control video capture and use the described image paster type found that shooting is regarded
Frequently image processes.
Wherein, processor 501 is additionally operable to perform following operating procedure:
The control voice mated with described voice messaging is searched from default sound template storehouse；
Determine the control instruction corresponding to described control voice.
Wherein, processor 501 is additionally operable to perform following operating procedure:
Obtain the speech speed of described voice messaging；
Determine that whether described speech speed is less than pre-set velocity threshold value；
If described speech speed is less than described pre-set velocity threshold value, then described voice messaging is converted into described control and refers to
Order.
It should be noted that the embodiment of the present invention also provides a kind of storage medium simultaneously, this storage medium is used for storing
Application program, this application program is for operationally performing a kind of video capture method shown in Fig. 1 and the one shown in Fig. 2
Video capture method receives the operation that electronic equipment performs.
It should be noted that the embodiment of the present invention also provides a kind of application program simultaneously, this application program is in fortune
Perform a kind of video capture method shown in Fig. 1 and a kind of video capture method shown in Fig. 2 receive electronic equipment during row
The operation performed.
It should be noted that for each embodiment of the method aforesaid, in order to be briefly described, therefore it is all expressed as one it be
The combination of actions of row, but those skilled in the art should know, and the present invention is not limited by described sequence of movement, because of
For according to the present invention, certain some step can use other orders or carry out simultaneously.Secondly, those skilled in the art also should
Knowing, embodiment described in this description belongs to preferred embodiment, involved action and module not necessarily this
Bright necessary.
In the above-described embodiments, the description to each embodiment all emphasizes particularly on different fields, and is not described in certain embodiment
Part, may refer to the associated description of other embodiments.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
Completing instructing relevant hardware by program, this program can be stored in a computer-readable recording medium, storage
Medium may include that flash disk, read only memory (English: Read-Only Memory, ROM), random access device (English be called for short:
RAM), disk or CD etc. literary composition: Random Access Memory, is called for short:.
The content download method provided the embodiment of the present invention above and relevant device, system are described in detail,
Principle and the embodiment of the present invention are set forth by specific case used herein, and the explanation of above example is simply used
In helping to understand method and the core concept thereof of the present invention；Simultaneously for one of ordinary skill in the art, according to the present invention's
Thought, the most all will change, and in sum, this specification content should not be construed as
Limitation of the present invention.
In the description of this specification, reference term " embodiment ", " some embodiments ", " example ", " specifically show
Example " or the description of " some examples " etc. means to combine this embodiment or example describes specific features, structure, material or spy
Point is contained at least one embodiment or the example of the present invention.In this manual, to the schematic representation of above-mentioned term not
Identical embodiment or example must be directed to.And, the specific features of description, structure, material or feature can be in office
One or more embodiments or example combine in an appropriate manner.Additionally, in the case of the most conflicting, the skill of this area
The feature of the different embodiments described in this specification or example and different embodiment or example can be tied by art personnel
Close and combination.
Additionally, term " first ", " second " are only used for describing purpose, and it is not intended that instruction or hint relative importance
Or the implicit quantity indicating indicated technical characteristic.Thus, define " first ", the feature of " second " can express or
Implicitly include at least one this feature.In describing the invention, " multiple " are meant that at least two, such as two, three
Individual etc., unless otherwise expressly limited specifically.
In flow chart or at this, any process described otherwise above or method description are construed as, and expression includes
One or more is for realizing the module of code, fragment or the portion of the executable instruction of the step of specific logical function or process
Point, and the scope of the preferred embodiment of the present invention includes other realization, wherein can not by shown or discuss suitable
Sequence, including according to involved function by basic mode simultaneously or in the opposite order, performs function, and this should be by the present invention
Embodiment person of ordinary skill in the field understood.
Represent in flow charts or the logic described otherwise above at this and/or step, for example, it is possible to be considered as to use
In the sequencing list of the executable instruction realizing logic function, may be embodied in any computer-readable medium, for
Instruction execution system, device or equipment (system such as computer based system, including processor or other can hold from instruction
Row system, device or equipment instruction fetch also perform the system instructed) use, or combine these instruction execution systems, device or set
Standby and use.For the purpose of this specification, " computer-readable medium " can be any can to comprise, store, communicate, propagate or pass
Defeated program is for instruction execution system, device or equipment or combines these instruction execution systems, device or equipment and the dress that uses
Put.The more specifically example (non-exhaustive list) of computer-readable medium includes following: have the electricity of one or more wiring
Connecting portion (electronic installation), portable computer diskette box (magnetic device), random access memory (RAM), read only memory
(ROM), erasable read only memory (EPROM or flash memory), the fiber device edited, and portable optic disk is read-only deposits
Reservoir (CDROM).It addition, computer-readable medium can even is that and can print the paper of described program thereon or other are suitable
Medium, because then can carry out editing, interpreting or if desired with it such as by paper or other media are carried out optical scanning
His suitable method is processed to electronically obtain described program, is then stored in computer storage.
Should be appreciated that each several part of the present invention can realize by hardware, software, firmware or combinations thereof.Above-mentioned
In embodiment, the software that multiple steps or method in memory and can be performed by suitable instruction execution system with storage
Or firmware realizes.Such as, if realized with hardware, with the most the same, available well known in the art under
Any one or their combination in row technology realize: have the logic gates for data signal realizes logic function
Discrete logic, there is the special IC of suitable combination logic gate circuit, programmable gate array (PGA), on-the-spot
Programmable gate array (FPGA) etc..
Those skilled in the art are appreciated that and realize all or part of step that above-described embodiment method is carried
Suddenly the program that can be by completes to instruct relevant hardware, and described program can be stored in a kind of computer-readable storage medium
In matter, this program upon execution, including one or a combination set of the step of embodiment of the method.
Additionally, each functional unit in each embodiment of the present invention can be integrated in a processing module, it is also possible to
It is that unit is individually physically present, it is also possible to two or more unit are integrated in a module.Above-mentioned integrated mould
Block both can realize to use the form of hardware, it would however also be possible to employ the form of software function module realizes.Described integrated module is such as
When fruit is using the form realization of software function module and as independent production marketing or use, it is also possible to be stored in a computer
In read/write memory medium.
Storage medium mentioned above can be read only memory, disk or CD etc..Although having shown that above and retouching
Embodiments of the invention are stated, it is to be understood that above-described embodiment is exemplary, it is impossible to be interpreted as the limit to the present invention
System, above-described embodiment can be changed, revise, replace and become by those of ordinary skill in the art within the scope of the invention
Type.
Claims (10)
1. a video capture method, it is characterised in that described method is applied to electronic equipment, described method includes:
Obtain the facial information of user；
Identify described facial information, from default paster storehouse, search the image paster type mated with described facial information；
Use the described image paster type found that the video image of shooting is processed.
2. the method for claim 1, it is characterised in that described image paster type includes multiple image paster, described
Identify described facial information, after searching, from default paster storehouse, the image paster type mated with described facial information, also
Including:
The plurality of image paster that display finds, and point out described user to select from the plurality of image paster；
The described image paster type that described use finds carries out process to the video image of shooting and includes:
When the selection for the target image paster in the plurality of image paster detecting that described user inputs instructs, make
With described target image paster, described video image is processed.
3. the method for claim 1, it is characterised in that the described facial information of described identification, from default paster storehouse
Search the image paster type mated with described facial information to include:
Multiple Information locating point is chosen from described facial information；
Extract the characteristic information of each Information locating point in the plurality of Information locating point respectively；
According to the described characteristic information of described each Information locating point, determine user characteristics；
The image paster type corresponding with described user characteristics is searched from default paster storehouse.
4. the method for claim 1, it is characterised in that the described image paster type that described use finds is to shooting
Video image carry out process and include:
Obtain the voice messaging of user；
Identify described voice messaging, described voice messaging is converted into control instruction；
Respond described control instruction, control video capture and use the described image paster type the found video figure to shooting
As processing.
5. method as claimed in claim 4, it is characterised in that the described voice messaging of described identification, turns described voice messaging
Turn to control instruction include:
The control voice mated with described voice messaging is searched from default sound template storehouse；
Determine the control instruction corresponding to described control voice.
6. the method as described in claim 4 or 5, it is characterised in that the described voice messaging of described identification, by described voice messaging
It is converted into control instruction to include:
Obtain the speech speed of described voice messaging；
Determine that whether described speech speed is less than pre-set velocity threshold value；
If described speech speed is less than described pre-set velocity threshold value, then described voice messaging is converted into described control instruction.
7. a video capture device, it is characterised in that described device includes:
Data obtaining module, for obtaining the facial information of user；
Paster searches module, is used for identifying described facial information, searches and mate with described facial information from default paster storehouse
Image paster type；
Image processing module, for using the described image paster type found to process the video image of shooting.
8. device as claimed in claim 7, it is characterised in that described image paster type includes multiple image paster, described
Device also includes:
Paster display module, the plurality of image paster found for display, and point out described user from the plurality of figure
As paster selects；
Described image processing module specifically for:
When the selection for the target image paster in the plurality of image paster detecting that user inputs instructs, use institute
State target image paster described video image is processed.
9. device as claimed in claim 7, it is characterised in that described paster search module specifically for:
Multiple Information locating point is chosen from described facial information；
Extract the characteristic information of each Information locating point in the plurality of Information locating point respectively；
According to the described characteristic information of described each Information locating point, determine user biological feature；
The image paster type corresponding with described user biological feature is searched from default paster storehouse.
10. an electronic equipment, it is characterised in that including: processor, memorizer, communication interface and bus；
Described processor, described memorizer and described communication interface are connected by described bus and complete mutual communicating；
Described memorizer storage executable program code；
Described processor runs and described executable program by reading the executable program code of storage in described memorizer
The program that code is corresponding, for:
Obtain the facial information of user；
Identify described facial information, from default paster storehouse, search the image paster type mated with described facial information；
Use the described image paster type found that the video image of shooting is processed.
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| CN201610702583.1A CN106210545A (en) | 2016-08-22 | 2016-08-22 | Video shooting method and device and electronic equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610702583.1A CN106210545A (en) | 2016-08-22 | 2016-08-22 | Video shooting method and device and electronic equipment |
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| CN106210545A true CN106210545A (en) | 2016-12-07 |
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| CN201610702583.1A Pending CN106210545A (en) | 2016-08-22 | 2016-08-22 | Video shooting method and device and electronic equipment |
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|---|---|---|---|---|
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Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101046960A (en) * | 2006-03-27 | 2007-10-03 | 株式会社东芝 | Apparatus and method for processing voice in speech |
| US20110110594A1 (en) * | 2009-11-11 | 2011-05-12 | Yuichi Hasegawa | Image processing system, image processing apparatus, image processing method, and program |
| CN204517937U (en) * | 2015-03-27 | 2015-07-29 | 深圳市锐曼智能装备有限公司 | Be used in the photographing control device in robot |
| CN104902212A (en) * | 2015-04-30 | 2015-09-09 | 努比亚技术有限公司 | Video communication method and apparatus |
| CN105678686A (en) * | 2015-12-30 | 2016-06-15 | 北京金山安全软件有限公司 | Picture processing method and device |
| CN105791692A (en) * | 2016-03-14 | 2016-07-20 | 腾讯科技（深圳）有限公司 | Information processing method and terminal |
-
2016
- 2016-08-22 CN CN201610702583.1A patent/CN106210545A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101046960A (en) * | 2006-03-27 | 2007-10-03 | 株式会社东芝 | Apparatus and method for processing voice in speech |
| US20110110594A1 (en) * | 2009-11-11 | 2011-05-12 | Yuichi Hasegawa | Image processing system, image processing apparatus, image processing method, and program |
| CN204517937U (en) * | 2015-03-27 | 2015-07-29 | 深圳市锐曼智能装备有限公司 | Be used in the photographing control device in robot |
| CN104902212A (en) * | 2015-04-30 | 2015-09-09 | 努比亚技术有限公司 | Video communication method and apparatus |
| CN105678686A (en) * | 2015-12-30 | 2016-06-15 | 北京金山安全软件有限公司 | Picture processing method and device |
| CN105791692A (en) * | 2016-03-14 | 2016-07-20 | 腾讯科技（深圳）有限公司 | Information processing method and terminal |
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Application publication date: 20161207 |