CN105847728A - Information processing method and terminal - Google Patents
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- CN105847728A CN105847728A CN201610232008.XA CN201610232008A CN105847728A CN 105847728 A CN105847728 A CN 105847728A CN 201610232008 A CN201610232008 A CN 201610232008A CN 105847728 A CN105847728 A CN 105847728A
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- 238000003672 processing method Methods 0.000 title claims abstract description 12
- 238000000034 method Methods 0.000 claims abstract description 118
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Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/76—Television signal recording
- H04N5/91—Television signal processing therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T5/00—Image enhancement or restoration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
- G06T2207/30201—Face
Abstract
The invention discloses an information processing method and a terminal. The method comprises the following steps: running the application at the terminal, obtaining the first operation, and triggering the acquisition of first media information; identifying a first zone according to a preset strategy in the process of acquiring the first media information by the terminal wherein the first zone is defined as the local zone of the image information of each frame in the first media information; taking the first zone away from the image information of each frame and the remaining zone of the image information of each frame is defined as a second zone; using a first image processing manner to process the first zone so as to obtain the processed result of a first image; using a second image processing manner to process the second zone so as to obtain the processed result of a second image; and integrating the processed results of the first image and the second image to obtain new complete image integration information wherein the complete image integration information is used as the image information of each frame again.
Description
Technical field
The present invention relates to mechanics of communication, particularly relate to a kind of information processing method and terminal.
Background technology
Along with the progress of science and technology, the photographic head configuration constantly upgrading of terminal, use mobile phone, flat board, notebook
Carrying out recorded video or shooting high definition picture becomes a kind of trend, user can also be by the video recorded or bat
The high definition picture taken the photograph carries out Information Sharing by social networking application.
As a example by the scene of the video recorded, before Information Sharing, if the video image quality that user is to recording
Dissatisfied, can be by for image quality quickly being revised the image processing techniques (such as filtering techniques) beautified
Carry out image procossing.In prior art, it is that whole picture is added filter, and filter function is single, due to whole
Comprising the shading value needed for multiple different element, different elements in individual picture, color saturation etc. image quality is imitated
Fruit is different, therefore, after whole picture is added filter, can cause the decline of whole image quality.But,
In correlation technique, for this problem, there is no effective solution.
Summary of the invention
In view of this, the embodiment of the present invention, desirable to provide a kind of information processing method and terminal, solve at least
The problem that prior art exists, improves the video image quality of real-time recording video.
The technical scheme of the embodiment of the present invention is achieved in that
A kind of information processing method of the embodiment of the present invention, described method includes:
Open application in terminal, obtain the first operation, trigger the collection of the first media information；
Terminal, during gathering described first media information, identifies first area according to preset strategy,
Described first area is the regional area in each frame image information of described first media information；
Described first area is separated from described each frame image information, described each frame after separating
The remaining region of image information is designated as second area；
Described first area uses the first image procossing mode process, obtains the first processing result image；
Described second area uses the second image procossing mode process, obtains the second processing result image；
Described first processing result image and described second processing result image are carried out fusion treatment, again obtains
To complete image co-registration information, and using described complete image co-registration information again as the image of each frame
Information.
In such scheme, described terminal is during gathering described first media information, according to preset strategy
Identify first area, including:
Obtain face characteristic value, judge each frame figure of described first media information according to described face characteristic value
As whether information comprises face, obtain judged result；
When described judged result is for comprising face, then orient the position at face place in current frame image information,
Described first area is included in the region that the position at face place is corresponding.
In such scheme, described first area is separated from described each frame image information, will separate
The rear described remaining region of each frame image information is designated as second area, including:
Obtain the position at face place in current frame image information, in the position at described face place according to face
Identification parameter extracts facial contour information；
According to described facial contour information, current frame image information is separated, obtain human face region and inhuman
Face region；
Described human face region is defined as described first area；
Described non-face region is defined as described second area.
In such scheme, described method also includes:
Before the collection of described triggering the first media information, the collection gathered for the first media information detected
When module has turned on and not yet starts the acquisition operations of reality, identify and gather phase with described first media information
Close current scene information and collect described current scene information.
In such scheme, described method also includes:
Terminal is during gathering described first media information, and the described current scene information according to collecting is entered
Row is analyzed, and obtains analysis result；
Adaptively selected for each frame image information to described first media information according to described analysis result
Carry out the image procossing mode of image procossing；
Described image procossing mode includes: described first image procossing mode and/or the second image procossing mode.
A kind of terminal of the embodiment of the present invention, described terminal includes:
Trigger element, for opening application in terminal, obtains the first operation, triggers adopting of the first media information
Collection；
Recognition unit, for, during gathering described first media information, identifying according to preset strategy
First area, described first area is the regional area in each frame image information of described first media information；
Separative element, for being separated from described each frame image information described first area, will divide
It is designated as second area from the rear described remaining region of each frame image information；
First processing unit, for using the first image procossing mode to process described first area,
To the first processing result image；
Second processing unit, for using the second image procossing mode to process described second area,
To the second processing result image；
Integrated unit, for melting described first processing result image and described second processing result image
Conjunction processes, and retrieves complete image co-registration information, and described complete image co-registration information is again made
Image information for each frame.
In such scheme, described recognition unit, it is further used for:
Obtain face characteristic value, judge each frame figure of described first media information according to described face characteristic value
As whether information comprises face, obtain judged result；
When described judged result is for comprising face, then orient the position at face place in current frame image information,
Described first area is included in the region that the position at face place is corresponding.
In such scheme, described separative element, it is further used for:
Obtain the position at face place in current frame image information, in the position at described face place according to face
Identification parameter extracts facial contour information；
According to described facial contour information, current frame image information is separated, obtain human face region and inhuman
Face region；
Described human face region is defined as described first area；
Described non-face region is defined as described second area.
In such scheme, described terminal also includes: detector unit, is used for:
Before the collection of described triggering the first media information, the collection gathered for the first media information detected
When module has turned on and not yet starts the acquisition operations of reality, identify and gather phase with described first media information
Close current scene information and collect described current scene information.
In such scheme, described terminal also includes: selects unit, is used for:
Terminal is during gathering described first media information, and the described current scene information according to collecting is entered
Row is analyzed, and obtains analysis result；
Adaptively selected for each frame image information to described first media information according to described analysis result
Carry out the image procossing mode of image procossing；
Described image procossing mode includes: described first image procossing mode and/or the second image procossing mode.
The information processing method of the embodiment of the present invention, described method includes: open application in terminal, obtains the
One operation, triggers the collection of the first media information；Terminal is gathering during described first media information,
Identifying first area according to preset strategy, described first area is each frame figure of described first media information
As the regional area in information；Described first area is separated from described each frame image information, will
After separation, the described remaining region of each frame image information is designated as second area；Described first area is used the
One image procossing mode processes, and obtains the first processing result image；Described second area is used second
Image procossing mode processes, and obtains the second processing result image；By described first processing result image and
Described second processing result image carries out fusion treatment, retrieves complete image co-registration information, and by institute
State complete image co-registration information again as the image information of each frame.Use the embodiment of the present invention, for
Whole picture comprises the shading value needed for multiple different element, different elements, color saturation etc. image quality
Effect is different, based on this, the partial picture in whole picture is added filter respectively and carries out different local
Process, thus improve the video image quality of real-time recording video.
Accompanying drawing explanation
Fig. 1 is the schematic diagram carrying out the mutual each side's hardware entities of information in the embodiment of the present invention；
Fig. 2 is one of the embodiment of the present invention one and realizes schematic flow sheet；
Fig. 3 is a schematic diagram of the end-user interface of application the inventive method embodiment；
Fig. 4 is one of the embodiment of the present invention two and realizes schematic flow sheet；
Fig. 5 is the schematic diagram that application the inventive method embodiment carries out regional area division；
Fig. 6 is one of the embodiment of the present invention three and realizes schematic flow sheet；
Fig. 7 is another schematic diagram that application the inventive method embodiment carries out regional area division；
Fig. 8 is a composition structural representation of the embodiment of the present invention four；
Fig. 9 is a hardware composition structural representation of the embodiment of the present invention five.
Detailed description of the invention
Enforcement to technical scheme is described in further detail below in conjunction with the accompanying drawings.
Fig. 1 is the schematic diagram carrying out the mutual each side's hardware entities of information in the embodiment of the present invention, wraps in Fig. 1
Including: server 11, terminal unit 21-24, terminal unit 21-24 passes through cable network or wireless network
Carrying out information alternately with server, terminal unit includes the types such as mobile phone, desktop computer, PC, all-in-one.
Wherein, all application installed in terminal unit or the application specified.Use the embodiment of the present invention, based on
System shown in above-mentioned Fig. 1, terminal open application (take pictures application or recorded video application or image procossing
Application etc.), acquisition the first operation (as opened photographic head after entrance recorded video application, video is started recording,
Or the acquisition operations of referred to as recorded video), trigger the collection (as recorded one section of video) of the first media information；
Terminal, during gathering described first media information (such as video), identifies first according to preset strategy
Region (can be that certain being different from other regions specifies region, this region can be human face region), described
First area is the regional area in each frame image information of described first media information；By described firstth district
Territory is separated from described each frame image information, the described remaining district of each frame image information after separating
Territory is designated as second area, and (if first area is human face region, then second area is non-face region, or claims
For face extraneous areas)；Described first area use the first image procossing mode (such as skin, despeckle, the upper cheek
Red filtering techniques such as grade) process, obtain the first processing result image；Described second area is used second
Image procossing mode (as adjusted the filtering techniques such as shading value or color saturation) processes, and obtains second
Processing result image；Described first processing result image and described second processing result image are carried out at fusion
Reason, retrieves complete image co-registration information, and using described complete image co-registration information again as every
The image information of one frame.
The example of above-mentioned Fig. 1 simply realizes a system architecture example of the embodiment of the present invention, and the present invention implements
Example is not limited to the system structure described in above-mentioned Fig. 1, and based on this system architecture, each is implemented to propose the present invention
Example.
Embodiment one:
A kind of information processing method of the embodiment of the present invention, as in figure 2 it is shown, described method includes:
Step 101, terminal open application, obtain first operation, trigger the collection of the first media information.
Here, user is currently in use terminal (such as mobile phone 11), the user interface of mobile phone 11 comprises various types of
The application icon of type, is illustrated in figure 3 the end-user interface comprising various types of application icon,
Application icon includes: such as music icon, function setting icon, mail transmission/reception icon etc., user holds
Row first operates, and as clicked on the video processing applications icon of A1 mark with finger, enters the place of video record
Reason process, thus trigger the collection of the first media information (such as video).Such as, one section of indoor can be recorded
Scene, or, carry out auto heterodyne etc. to oneself.
Step 102, terminal, during gathering described first media information, identify according to preset strategy
First area, described first area is the regional area in each frame image information of described first media information.
Here, in the processing procedure of video record, by recognition of face location mechanism, terminal can capture
The local facial region in whole picture in each frame image information of described first media information.Concrete,
During recognition of face, face recognition technology is face feature based on people, to the people in video record
Face image or video flowing are acquired, and first determine whether whether there is face in video flowing, if there is face,
The most further provide position and the size of face, and orient the positional information of each major facial organ,
The respective position of face in face.
Step 103, described first area is separated from described each frame image information, after separating
The described remaining region of each frame image information is designated as second area.
Here it is possible to whole picture in each frame image information of described first media information that will identify that
In local facial region as first area, then, in addition to local facial region, in whole picture
Remaining region is second area.Follow-up, owing to the feature of first area and second area is different,
The most different to the two image procossing strategy processed, i.e. need to be respectively adopted different filtering techniques, as
In step 104, described first area use the first image procossing mode (such as filter skills such as mill skin, speckle dispelling
Art) process, as in step 105, described second area use the second image procossing mode (as adjusted
The filtering techniques such as high brightness and color saturation) process, so, from many for whole picture comprises
Planting the shading value needed for different elements, different elements, color saturation etc. image quality effect is different angle
Set out, based on this, the partial picture in whole picture is added respectively filter and carries out different Local treatment, and
It not to use single a set of filtering techniques to process in whole picture, thus improve real-time recording video
Video image quality.
Step 104, described first area uses the first image procossing mode process, obtain the first figure
As result.
Step 105, described second area uses the second image procossing mode process, obtain the second figure
As result.
Step 106, described first processing result image and described second processing result image are carried out at fusion
Reason, retrieves complete image co-registration information, and using described complete image co-registration information again as every
The image information of one frame.
Here, one implements process and can be: for one section of video file of real-time recording, first
From described video, obtain image stream and audio frequency respectively, obtain image stream by the camera interface of Android system,
Audio frequency is obtained when video record by microphone samples by audio collection interface；Each frame to image stream
Image, distinguishes human face region and non-face region, and respectively human face region and non-face region is used two
Set different filtering techniques targetedly carry out the image procossing of local respectively, generate two filter specially good effect image stream,
Re-use encoder interfaces in real time two filter special effect graph picture streams with filter specially good effect to be re-started image and melt
Merge and be encoded to video flowing, and audio frequency is also recompiled into audio stream, use audio frequency and video combiner mixing
Track of video and audio track, generate in real time through different filtering techniques realization office while audio frequency and video are recorded
Again image is merged again after portion's image procossing, obtain eventually passing through the video of amended real-time recording
File.
Embodiment two:
A kind of information processing method of the embodiment of the present invention, as shown in Figure 4, described method includes:
Step 201, terminal open application, obtain first operation, trigger the collection of the first media information.
Here, user is currently in use terminal (such as mobile phone 11), the user interface of mobile phone 11 comprises various types of
The application icon of type, is illustrated in figure 3 the end-user interface comprising various types of application icon,
Application icon includes: such as music icon, function setting icon, mail transmission/reception icon etc., user holds
Row first operates, and as clicked on the video processing applications icon of A1 mark with finger, enters the place of video record
Reason process, thus trigger the collection of the first media information (such as video).Such as, one section of indoor can be recorded
Scene, or, carry out auto heterodyne etc. to oneself.
Step 202, acquisition face characteristic value, judge described first media information according to described face characteristic value
Each frame image information in whether comprise face, obtain judged result.
Here, in the processing procedure of video record, by recognition of face location mechanism, terminal can capture
The local facial region in whole picture in each frame image information of described first media information.Concrete,
During recognition of face, face recognition technology is face feature based on people, to the people in video record
Face image or video flowing are acquired, and first determine whether whether there is face in video flowing, if there is face,
The most further provide position and the size of face, and orient the positional information of each major facial organ,
The respective position of face in face.
When step 203, described judged result are for comprising face, then orient face in current frame image information
The position at place, described first area is included in the region that the position at face place is corresponding.
Here, being illustrated in figure 5 the exemplary plot that a region divides, Fig. 5 includes the initial picture in left side,
The whole picture area of current frame image information is A1, including human face region and non-face region, as non-
Human face region includes a little water tumbler A3, and in this step, the region that the position at described face place is corresponding is
A2, human face region is included in A2.This region can be carried out carefully by subsequent embodiment three further
Change and separate, thus obtain human face region accurately.
Step 204, described first area is separated from described each frame image information, after separating
The described remaining region of each frame image information is designated as second area.
Here it is possible to whole picture in each frame image information of described first media information that will identify that
In local facial region as first area, then, in addition to local facial region, in whole picture
Remaining region is second area.Follow-up, owing to the feature of first area and second area is different,
The most different to the two image procossing strategy processed, i.e. need to be respectively adopted different filtering techniques, as
In step 205, described first area use the first image procossing mode (such as filter skills such as mill skin, speckle dispelling
Art) process, as in step 206, described second area use the second image procossing mode (as adjusted
The filtering techniques such as high brightness and color saturation) process, so, from many for whole picture comprises
Planting the shading value needed for different elements, different elements, color saturation etc. image quality effect is different angle
Set out, based on this, the partial picture in whole picture is added respectively filter and carries out different Local treatment, and
It not to use single a set of filtering techniques to process in whole picture, thus improve real-time recording video
Video image quality.
Step 205, described first area uses the first image procossing mode process, obtain the first figure
As result.
Step 206, described second area uses the second image procossing mode process, obtain the second figure
As result.
Step 207, described first processing result image and described second processing result image are carried out at fusion
Reason, retrieves complete image co-registration information, and using described complete image co-registration information again as every
The image information of one frame.
Here, one implements process and can be: for one section of video file of real-time recording, first
From described video, obtain image stream and audio frequency respectively, obtain image stream by the camera interface of Android system,
Audio frequency is obtained when video record by microphone samples by audio collection interface；Each frame to image stream
Image, judges whether comprise face in each frame image information of image stream according to face characteristic value, to distinguish
Go out human face region and non-face region, and respectively human face region and non-face region are used two sets targetedly
Different filtering techniques carry out the image procossing of local respectively, generate two filter specially good effect image stream, re-use volume
Two filter special effect graph picture streams with filter specially good effect are re-started image co-registration and encode by code device interface in real time
For video flowing, and audio frequency is also recompiled into audio stream, use audio frequency and video combiner mixed video track
And audio track, generate in real time while audio frequency and video are recorded and realize at topography through different filtering techniques
Again image is merged again after reason, obtain eventually passing through the video file of amended real-time recording.
Embodiment three:
A kind of information processing method of the embodiment of the present invention, as shown in Figure 6, described method includes:
Step 301, terminal open application, obtain first operation, trigger the collection of the first media information.
Here, user is currently in use terminal (such as mobile phone 11), the user interface of mobile phone 11 comprises various types of
The application icon of type, is illustrated in figure 3 the end-user interface comprising various types of application icon,
Application icon includes: such as music icon, function setting icon, mail transmission/reception icon etc., user holds
Row first operates, and as clicked on the video processing applications icon of A1 mark with finger, enters the place of video record
Reason process, thus trigger the collection of the first media information (such as video).Such as, one section of indoor can be recorded
Scene, or, carry out auto heterodyne etc. to oneself.
Step 302, acquisition face characteristic value, judge described first media information according to described face characteristic value
Each frame image information in whether comprise face, obtain judged result.
Here, in the processing procedure of video record, by recognition of face location mechanism, terminal can capture
The local facial region in whole picture in each frame image information of described first media information.Concrete,
During recognition of face, face recognition technology is face feature based on people, to the people in video record
Face image or video flowing are acquired, and first determine whether whether there is face in video flowing, if there is face,
The most further provide position and the size of face, and orient the positional information of each major facial organ,
The respective position of face in face.
When step 303, described judged result are for comprising face, then orient face in current frame image information
The position at place, described first area is included in the region that the position at face place is corresponding.
The position at face place in step 304, acquisition current frame image information, in the position at described face place
Put and go out facial contour information according to recognition of face parameter extraction.
Here, recognition of face parameter includes face size, the relative position etc. of face face organ.
Here, being illustrated in figure 7 the exemplary plot that a region divides, Fig. 7 includes the initial picture in left side,
The whole picture area of current frame image information is A1, including human face region and non-face region, as non-
Human face region includes a little water tumbler A3, and in this step, the region that the position at described face place is corresponding is
A2, human face region A4 are included in the region A2 that the position at face place is corresponding, specifically basis
Recognition of face parameter (such as face size, the relative position of face face organ) etc. knows facial contour information,
Thus the region A2 that the position at face place is corresponding is carried out refinement and separates, according to facial contour Information locating
Go out the human face region A4 of reality, thus obtain human face region accurately.
Step 305, according to described facial contour information, current frame image information is separated, obtain face
Region and non-face region, be defined as described first area by described human face region, by described non-face region
It is defined as described second area.
Here it is possible to whole picture in each frame image information of described first media information that will identify that
In local facial region as first area, then, in addition to local facial region, in whole picture
Remaining region is second area.Follow-up, owing to the feature of first area and second area is different,
The most different to the two image procossing strategy processed, i.e. need to be respectively adopted different filtering techniques, as
In step 306, described first area use the first image procossing mode (such as filter skills such as mill skin, speckle dispelling
Art) process, as in step 307, described second area use the second image procossing mode (as adjusted
The filtering techniques such as high brightness and color saturation) process, so, from many for whole picture comprises
Planting the shading value needed for different elements, different elements, color saturation etc. image quality effect is different angle
Set out, based on this, the partial picture in whole picture is added respectively filter and carries out different Local treatment, and
It not to use single a set of filtering techniques to process in whole picture, thus improve real-time recording video
Video image quality.
Step 306, described human face region uses the first image procossing mode process, obtain the first figure
As result.
Step 307, described non-face region uses the second image procossing mode process, obtain second
Processing result image.
Step 308, described first processing result image and described second processing result image are carried out at fusion
Reason, retrieves complete image co-registration information, and using described complete image co-registration information again as every
The image information of one frame.
Here, one implements process and can be: for one section of video file of real-time recording, first
From described video, obtain image stream and audio frequency respectively, obtain image stream by the camera interface of Android system,
Audio frequency is obtained when video record by microphone samples by audio collection interface；Each frame to image stream
Image, judges whether comprise face in each frame image information of image stream according to face characteristic value, to distinguish
Go out human face region and non-face region, and respectively human face region and non-face region are used two sets targetedly
Different filtering techniques carry out the image procossing of local respectively, generate two filter specially good effect image stream, re-use volume
Two filter special effect graph picture streams with filter specially good effect are re-started image co-registration and encode by code device interface in real time
For video flowing, and audio frequency is also recompiled into audio stream, use audio frequency and video combiner mixed video track
And audio track, generate in real time while audio frequency and video are recorded and realize at topography through different filtering techniques
Again image is merged again after reason, obtain eventually passing through the video file of amended real-time recording.
Based on above-described embodiment, in the embodiment of the present invention one embodiment, described method also includes: described
Before triggering the collection of the first media information, detect that the acquisition module for the first media information collection is opened
When opening and not yet start the acquisition operations of reality, identify relevant to described first media information collection current
Scene information also collects described current scene information.
Based on above-described embodiment, in the embodiment of the present invention one embodiment, described method also includes: terminal
During gathering described first media information, the described current scene information according to collecting is analyzed,
Obtain analysis result；According to adaptively selected each for described first media information of described analysis result
Frame image information carries out the image procossing mode of image procossing；Described image procossing mode includes: described first
Image procossing mode and/or the second image procossing mode.
Here, one is implemented as: is entering video record application, is opening photographic head, but simply exist
The personage needing shooting found by the view-finder that photographic head is corresponding, and external environment condition or internal medium etc., at this
During owing to not having started formal video record, therefore, CPU is idle, now, at photographic head
Open but during the most formally starting recorded video, can be based on view-finder corresponding to current photographic head
The scene practical situation of display is that terminal estimates an optional filter, can be the filter only for human face region
Mirror, it is also possible to be the filter only for non-face region, it is also possible to be for human face region and non-face region all
A filter thering is provided respectively (i.e. 2 filters, in order to just can be respectively to human face region and inhuman in early stage
Face region carries out pretreatment).
Here, except during by terminal idle, process load little when, outside estimating filter according to scene,
Filter can also be estimated according to user's use habit of historical record or collection etc. for terminal, such as, use
Family is a schoolgirl, then if certainly taking pictures, then her custom is likely to be had cosmetic and beautify face
Demand, then, U.S. pupil filter, rouge filter etc. can be pushed for terminal in advance.If user is even
Clap this, the filter that user's last time recorded video is used can be recorded, when user continues to record next time
During video, push filter that this last time recorded video used etc. by terminal in advance.
Embodiment four:
A kind of terminal of the embodiment of the present invention, as shown in Figure 8, described terminal includes:
Trigger element 11, for opening application in terminal, obtains the first operation, triggers the first media information
Gather；Recognition unit 12, for during gathering described first media information, knows according to preset strategy
Not going out first area, described first area is the local in each frame image information of described first media information
Region；Separative element 13, for described first area is separated from described each frame image information,
The remaining region of each frame image information described after separation is designated as second area；First processing unit 14, uses
In described first area uses the first image procossing mode process, obtain the first processing result image；
Second processing unit 15, for using the second image procossing mode to process described second area, obtains
Second processing result image；And integrated unit 16, for by described first processing result image and described second
Processing result image carries out fusion treatment, retrieves complete image co-registration information, and by described complete
Image co-registration information is again as the image information of each frame.
In one concrete application of the embodiment of the present invention, user is currently in use terminal (such as mobile phone 11), mobile phone
Comprise various types of application icon in the user interface of 11, be illustrated in figure 3 and comprise various types of application
One end-user interface of icon, application icon includes: such as music icon, function setting icon,
Mail transmission/reception icon etc., user performs the first operation, should as clicked on the Video processing of A1 mark with finger
With icon, enter the processing procedure of video record, thus trigger the collection of the first media information (such as video).
Such as, one section of indoor scene can be recorded, or, carry out auto heterodyne etc. to oneself.At video record
In processing procedure, by recognition of face location mechanism, terminal can capture the every of described first media information
Local facial region in whole picture in one frame image information.Concrete, during recognition of face,
Face recognition technology is face feature based on people, carries out the facial image in video record or video flowing
Gather, first determine whether whether video flowing exists face, if there is face, the most further provide face
Position and size, and orient the positional information of each major facial organ, obtain the respective of face in face
Position.Continue in each frame image information of described first media information that will identify that in whole picture
Local facial region is as first area, then, in addition to local facial region, remaining in whole picture
Region be second area.Owing to the feature of first area and second area is different, the two is carried out
The image procossing strategy processed is the most different, i.e. needs to be respectively adopted different filtering techniques, such as, to described
First area uses the first image procossing mode (such as filtering techniques such as mill skin, speckle dispelling) to process, to institute
Stating second area uses the second image procossing mode (such as heightening the filtering techniques such as brightness and color saturation) to enter
Row processes, so, from for whole picture comprises multiple different element, and the shading value needed for different elements,
The angle that color saturation etc. image quality effect is different is set out, and based on this, draws the local in whole picture
Face adds filter respectively and carries out different Local treatment rather than whole picture is used single a set of filter skill
Art processes, thus improves the video image quality of real-time recording video.
In the embodiment of the present invention one embodiment, described recognition unit, it is further used for: obtain face special
Value indicative, judges whether wrap in each frame image information of described first media information according to described face characteristic value
Containing face, obtain judged result；
When described judged result is for comprising face, then orient the position at face place in current frame image information,
Described first area is included in the region that the position at face place is corresponding.
In the embodiment of the present invention one embodiment, described separative element, it is further used for: obtain current
The position at face place in frame image information, in the position at described face place according to recognition of face parameter extraction
Go out facial contour information；According to described facial contour information, current frame image information is separated, obtain people
Face region and non-face region；Described human face region is defined as described first area；By described non-face district
Territory is defined as described second area.
In the embodiment of the present invention one embodiment, described terminal also includes: detector unit, is used for: institute
State trigger the first media information collection before, detect for first media information gather acquisition module
When opening and not yet start actual acquisition operations, identify work as relevant to described first media information collection
Front scene information also collects described current scene information.
In the embodiment of the present invention one embodiment, described terminal also includes: selects unit, is used for: eventually
Holding during gathering described first media information, the described current scene information according to collecting is analyzed,
Obtain analysis result；According to adaptively selected each for described first media information of described analysis result
Frame image information carries out the image procossing mode of image procossing；Described image procossing mode includes: described first
Image procossing mode and/or the second image procossing mode.
Embodiment five:
It is to be herein pointed out above-mentioned terminal can be this electronic equipment of PC, it is also possible to for such as PAD,
Panel computer, this mancarried electronic aid of laptop computer, can also be intelligent mobile terminal as this in mobile phone,
It is not limited to description here；Described server can be consisted of group system, for realizing each unit merit
Can and merge into one or each unit function split arrange electronic equipment, terminal and server the most at least include use
Data base in storage data and the processor for data process, or include that be arranged in server deposits
Storage media or the storage medium being independently arranged.
Wherein, for for the processor that data process, when execution processes, micro-process can be used
Device, central processing unit (CPU, Central Processing Unit), digital signal processor (DSP, Digital
Singnal Processor) or programmable logic array (FPGA, Field-Programmable Gate Array)
Realize；For storage medium, comprising operational order, this operational order can be that computer can perform generation
Code, realizes each step in the invention described above embodiment information processing method flow process by described operational order
Suddenly.
This terminal and this server as hardware entities S11 an example as shown in Figure 9.Described device bag
Include processor 31, storage medium 32 and at least one external communication interface 33；Described processor 31, deposit
Storage media 32 and external communication interface 33 are all connected by bus 34.
It need to be noted that: above is referred to the description of terminal and server entry, with said method description be
It is similar to, describes with the beneficial effect of method, do not repeat.For terminal of the present invention and server example
In the ins and outs that do not disclose, refer to the description of the inventive method embodiment.
As a example by a real world applications scene, the embodiment of the present invention is described below:
During the use that various video classes are applied, a kind of application scenarios is: during video record
Add multiple filter, the image quality of shooting, a kind of filter such as recorded by real-time video can be optimized
Mirror can realize grinding the image quality of skin skin Caring.Owing to each two field picture of whole video record existing difference
Constructing elements, use existing single a set of filtering techniques that overall image quality can be caused on the contrary to decline, the most right
Whole picture adds filter, and filter is single, can cause the decline of whole image quality after adding filter.Citing
For, certain constructing elements (the local landscape part as in whole image) be because of insufficient light in the case of
The ropy problem of video record, certain constructing elements (the local personage's part as in whole image) be because of
The problem of the poor video quality that figure skin is the best and causes.It addition, after a filter processes, if whole
Individual image quality is not complied with one's wishes, it will usually enables filter repeatedly and repeatedly processes, and treatment effeciency is low, and
Add too much filter and cause the excessive problem of hardware spending.
This application scene uses the embodiment of the present invention to include: 1) opens at user's photographic head and does not has started recording
During this period of time in begin to collect current scene information.Current scene is identified by algorithm；2) video record
System starts, and according to the scene information above identified, selected filter style, respectively to dim, bright, just
Often it is optimized.Such as: dim style improves picture brightness, goes noise；3) during video record, with
Track face location, does mill skin targetedly to human face region；4) during video record, Real time identification people
Face are carried out specific aim makeups optimization, such as by face face: increase rouge.Can also do special dressing/
Filter, increases interest, makes interesting amusing video.Visible, this application scene uses the present invention real
Execute example, a kind of implement the filter being precisely beautify according to scene and face location and mill skin algorithm, carry out
Local treatment, can retain other position image details, simultaneously while improving user's face skin quality
Most suitable filters, filter variation can be selected according to different scenes, substantially increase video record finally in
Existing image quality.
Corresponding handling process comprises the steps:
Step 501, obtain real-time recording video flowing in each picture frame after, by Face datection merit
The position of face can be monitored in picture frame, and extract facial contour.
Step 502, according to facial contour, picture frame is separated, is divided into face and non-face two portions
Point.
Step 503, non-face part is done brightness adjustment, remove the filters such as dry point and render.
Step 504, improving looks face part, the filter such as mill skin renders.
Step 505, the face part processed is re-mixed into non-face part complete picture frame.
In sum, above-mentioned handling process includes: the process (obtaining whole picture) that picture frame obtains；Face
The process (identifying the subregion in whole picture, such as human face region) of detection；Image separate process (as
Human face region is separated from whole picture, it may be assumed that obtain human face region and non-face region)；Render filter
The process of mirror (renders function such as open filter)；Human face region use the process of filter (as ground skin and dispelling
Speckle etc.)；The process of image co-registration (after having processed such as human face region, is schemed with face extraneous areas again
As merge, the image after being processed) etc. part form.In realizing in whole flow process, to image
Various piece, the most only employs a filter, therefore, uses above-mentioned flow process to improve processing speed, reduces
The expense calculated.
In several embodiments provided herein, it should be understood that disclosed equipment and method, can
To realize by another way.Apparatus embodiments described above is only schematically, such as, and institute
Stating the division of unit, be only a kind of logic function and divide, actual can have other dividing mode when realizing,
As: multiple unit or assembly can be in conjunction with, or it is desirably integrated into another system, or some features can be neglected
Slightly, or do not perform.It addition, the coupling each other of shown or discussed each ingredient or directly coupling
Close or communication connection can be the INDIRECT COUPLING by some interfaces, equipment or unit or communication connection, can
Be electrical, machinery or other form.
The above-mentioned unit illustrated as separating component can be or may not be physically separate, as
The parts that unit shows can be or may not be physical location, i.e. may be located at a place, it is possible to
To be distributed on multiple NE；Part or all of unit therein can be selected according to the actual needs
Realize the purpose of the present embodiment scheme.
It addition, each functional unit in various embodiments of the present invention can be fully integrated in a processing unit,
Can also be that each unit is individually as a unit, it is also possible to two or more unit are integrated in one
In individual unit；Above-mentioned integrated unit both can realize to use the form of hardware, it would however also be possible to employ hardware adds soft
The form of part functional unit realizes.
One of ordinary skill in the art will appreciate that: all or part of step realizing said method embodiment can
Completing with the hardware relevant by programmed instruction, aforesaid program can be stored in an embodied on computer readable and deposit
In storage media, this program upon execution, performs to include the step of said method embodiment；And aforesaid storage
Medium includes: movable storage device, read only memory (ROM, Read-Only Memory), deposit at random
Access to memory (RAM, Random Access Memory), magnetic disc or CD etc. are various can store journey
The medium of sequence code.
Or, if the above-mentioned integrated unit of the present invention is using the form realization of software function module and as independent
Production marketing or use time, it is also possible to be stored in a computer read/write memory medium.Based on so
Understanding, the part that prior art is contributed by the technical scheme of the embodiment of the present invention the most in other words can
Embodying with the form with software product, this computer software product is stored in a storage medium, bag
Include some instructions with so that a computer equipment (can be personal computer, server or network
Equipment etc.) perform all or part of of method described in each embodiment of the present invention.And aforesaid storage medium bag
Include: various Jie that can store program code such as movable storage device, ROM, RAM, magnetic disc or CD
Matter.
The above, the only detailed description of the invention of the present invention, but protection scope of the present invention is not limited to
This, any those familiar with the art, in the technical scope that the invention discloses, can readily occur in
Change or replacement, all should contain within protection scope of the present invention.Therefore, protection scope of the present invention should
It is as the criterion with described scope of the claims.
Claims (10)
1. an information processing method, it is characterised in that described method includes:
Open application in terminal, obtain the first operation, trigger the collection of the first media information；
Terminal, during gathering described first media information, identifies first area according to preset strategy,
Described first area is the regional area in each frame image information of described first media information；
Described first area is separated from described each frame image information, described each frame after separating
The remaining region of image information is designated as second area；
Described first area uses the first image procossing mode process, obtains the first processing result image；
Described second area uses the second image procossing mode process, obtains the second processing result image；
Described first processing result image and described second processing result image are carried out fusion treatment, again obtains
To complete image co-registration information, and using described complete image co-registration information again as the image of each frame
Information.
Method the most according to claim 1, it is characterised in that described terminal is gathering described first matchmaker
During body information, identify first area according to preset strategy, including:
Obtain face characteristic value, judge each frame figure of described first media information according to described face characteristic value
As whether information comprises face, obtain judged result；
When described judged result is for comprising face, then orient the position at face place in current frame image information,
Described first area is included in the region that the position at face place is corresponding.
Method the most according to claim 2, it is characterised in that by described first area from described each
Frame image information is separated, the remaining region of each frame image information described after separation is designated as the secondth district
Territory, including:
Obtain the position at face place in current frame image information, in the position at described face place according to face
Identification parameter extracts facial contour information；
According to described facial contour information, current frame image information is separated, obtain human face region and inhuman
Face region；
Described human face region is defined as described first area；
Described non-face region is defined as described second area.
4. according to the method described in any one of claims 1 to 3, it is characterised in that described method also includes:
Before the collection of described triggering the first media information, the collection gathered for the first media information detected
When module has turned on and not yet starts the acquisition operations of reality, identify and gather phase with described first media information
Close current scene information and collect described current scene information.
Method the most according to claim 4, it is characterised in that described method also includes:
Terminal is during gathering described first media information, and the described current scene information according to collecting is entered
Row is analyzed, and obtains analysis result；
Adaptively selected for each frame image information to described first media information according to described analysis result
Carry out the image procossing mode of image procossing；
Described image procossing mode includes: described first image procossing mode and/or the second image procossing mode.
6. a terminal, it is characterised in that described terminal includes:
Trigger element, for opening application in terminal, obtains the first operation, triggers adopting of the first media information
Collection；
Recognition unit, for, during gathering described first media information, identifying according to preset strategy
First area, described first area is the regional area in each frame image information of described first media information；
Separative element, for being separated from described each frame image information described first area, will divide
It is designated as second area from the rear described remaining region of each frame image information；
First processing unit, for using the first image procossing mode to process described first area,
To the first processing result image；
Second processing unit, for using the second image procossing mode to process described second area,
To the second processing result image；
Integrated unit, for melting described first processing result image and described second processing result image
Conjunction processes, and retrieves complete image co-registration information, and described complete image co-registration information is again made
Image information for each frame.
Terminal the most according to claim 6, it is characterised in that described recognition unit, is further used for:
Obtain face characteristic value, judge each frame figure of described first media information according to described face characteristic value
As whether information comprises face, obtain judged result；
When described judged result is for comprising face, then orient the position at face place in current frame image information,
Described first area is included in the region that the position at face place is corresponding.
Terminal the most according to claim 7, it is characterised in that described separative element, is further used for:
Obtain the position at face place in current frame image information, in the position at described face place according to face
Identification parameter extracts facial contour information；
According to described facial contour information, current frame image information is separated, obtain human face region and inhuman
Face region；
Described human face region is defined as described first area；
Described non-face region is defined as described second area.
9. according to the terminal described in any one of claim 6 to 8, it is characterised in that described terminal also includes:
Detector unit, is used for:
Before the collection of described triggering the first media information, the collection gathered for the first media information detected
When module has turned on and not yet starts the acquisition operations of reality, identify and gather phase with described first media information
Close current scene information and collect described current scene information.
Terminal the most according to claim 9, it is characterised in that described terminal also includes: select single
Unit, is used for:
Terminal is during gathering described first media information, and the described current scene information according to collecting is entered
Row is analyzed, and obtains analysis result；
Adaptively selected for each frame image information to described first media information according to described analysis result
Carry out the image procossing mode of image procossing；
Described image procossing mode includes: described first image procossing mode and/or the second image procossing mode.
Priority Applications (2)
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| CN201610232008.XA CN105847728A (en) | 2016-04-13 | 2016-04-13 | Information processing method and terminal |
| PCT/CN2017/074455 WO2017177768A1 (en) | 2016-04-13 | 2017-02-22 | Information processing method, terminal, and computer storage medium |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201610232008.XA CN105847728A (en) | 2016-04-13 | 2016-04-13 | Information processing method and terminal |
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| WO2017177768A1 (en) * | 2016-04-13 | 2017-10-19 | 腾讯科技（深圳）有限公司 | Information processing method, terminal, and computer storage medium |
| CN106331482A (en) * | 2016-08-23 | 2017-01-11 | 努比亚技术有限公司 | Photo processing device and method |
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| CN108010037A (en) * | 2017-11-29 | 2018-05-08 | 腾讯科技（深圳）有限公司 | Image processing method, device and storage medium |
| CN108124101A (en) * | 2017-12-18 | 2018-06-05 | 北京奇虎科技有限公司 | Video capture method, device, electronic equipment and computer readable storage medium |
| CN108171716A (en) * | 2017-12-25 | 2018-06-15 | 北京奇虎科技有限公司 | Video personage based on the segmentation of adaptive tracing frame dresss up method and device |
| CN108171719A (en) * | 2017-12-25 | 2018-06-15 | 北京奇虎科技有限公司 | Video penetration management method and device based on the segmentation of adaptive tracing frame |
| CN108171719B (en) * | 2017-12-25 | 2021-07-23 | 北京奇虎科技有限公司 | Video crossing processing method and device based on self-adaptive tracking frame segmentation |
| CN108171716B (en) * | 2017-12-25 | 2021-11-26 | 北京奇虎科技有限公司 | Video character decorating method and device based on self-adaptive tracking frame segmentation |
| CN108683826A (en) * | 2018-05-15 | 2018-10-19 | 腾讯科技（深圳）有限公司 | Video data handling procedure, device, computer equipment and storage medium |
| CN109242802A (en) * | 2018-09-28 | 2019-01-18 | Oppo广东移动通信有限公司 | Image processing method, device, electronic equipment and computer-readable medium |
| CN111200705A (en) * | 2018-11-16 | 2020-05-26 | 北京微播视界科技有限公司 | Image processing method and device |
| CN111200705B (en) * | 2018-11-16 | 2021-05-25 | 北京微播视界科技有限公司 | Image processing method and device |
| CN109640151A (en) * | 2018-11-27 | 2019-04-16 | Oppo广东移动通信有限公司 | Method for processing video frequency, device, electronic equipment and storage medium |
| CN112132085A (en) * | 2020-09-29 | 2020-12-25 | 联想(北京)有限公司 | Image processing method and electronic equipment |
| CN112991208A (en) * | 2021-03-11 | 2021-06-18 | Oppo广东移动通信有限公司 | Image processing method and device, computer readable medium and electronic device |
| CN113132800A (en) * | 2021-04-14 | 2021-07-16 | Oppo广东移动通信有限公司 | Video processing method and device, video player, electronic equipment and readable medium |
| CN113132800B (en) * | 2021-04-14 | 2022-09-02 | Oppo广东移动通信有限公司 | Video processing method and device, video player, electronic equipment and readable medium |
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