CN107784114A - Recommendation method, apparatus, terminal and the storage medium of facial expression image - Google Patents
Recommendation method, apparatus, terminal and the storage medium of facial expression image Download PDFInfo
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Abstract
This application discloses recommendation method, apparatus, terminal and the storage medium of a kind of facial expression image, belong to field of terminal technology.Methods described includes：Shoot the facial expression image of active user；Expression Recognition is carried out to the facial expression image, to determine the mood expressed by the facial expression image；Facial expression image corresponding with the mood expressed by the facial expression image is selected from expression storehouse；Facial expression image based on selection is recommended.The application to the facial expression image of active user by carrying out Expression Recognition, the mood according to expressed by facial expression image selects corresponding facial expression image afterwards, recommend for active user, active user is allowd directly to choose the facial expression image liked from the facial expression image of recommendation, substantial amounts of facial expression image need not be browsed in expression storehouse to be selected, reduce the time that selection facial expression image is spent, improve the efficiency of selection facial expression image.
Description
Technical field
The application is related to field of terminal technology, recommendation method, apparatus, terminal and the storage of more particularly to a kind of facial expression image
Medium.
Background technology
With the development and popularization of terminal technology, some application software of using terminal are communicated or social, into
For the important component of people's life.In daily life, when user is communicated by these application software or be social, very
Need to express oneself mood at that time when more, the facial expression image that can select to meet itself mood at that time from expression storehouse is concurrent
Send.For example, user during being chatted using instant messaging application, can be provided from instant messaging application client
The facial expression image liked is selected and sent in expression storehouse, and itself current mood is passed on this.
In correlation technique, when user wants to send facial expression image, generally require to find in expression storehouse and select what is liked
Facial expression image, however, when the facial expression image in expression storehouse is more, user needs to browse substantial amounts of facial expression image, could be from table
Choose the facial expression image liked to be transmitted in feelings storehouse, cause user to select the less efficient of facial expression image.
The content of the invention
The embodiment of the present application provides recommendation method, apparatus, terminal and the storage medium of a kind of facial expression image, can be used for
Solve the problems, such as to select facial expression image efficiency low in correlation technique.The technical scheme is as follows：
According to the first aspect of the embodiment of the present application, there is provided a kind of recommendation method of facial expression image, methods described include：
Shoot the facial expression image of active user；
Expression Recognition is carried out to the facial expression image, to determine the mood expressed by the facial expression image；
Facial expression image corresponding with the mood expressed by the facial expression image is selected from expression storehouse；
Facial expression image based on selection is recommended.
Alternatively, it is described that Expression Recognition is carried out to the facial expression image, to determine facial expression image institute table
The mood reached, including：
Expression Recognition is carried out to the facial expression image based on expression recognition algorithm, to obtain mood label, institute
Mood label is stated to be used to indicate the mood expressed by the facial expression image.
Alternatively, expression figure corresponding with the mood expressed by the facial expression image is selected in the storehouse from expression
Picture, including：
Based on the mood label, from the corresponding relation between the mood label and facial expression image of the expression library storage
Facial expression image corresponding to selection；
The facial expression image of selection is defined as facial expression image corresponding with the mood expressed by the facial expression image.
Alternatively, the facial expression image based on selection is recommended, including：
Determine the frequency of use of each facial expression image of selection；
Select to use frequency is more than or equal to the facial expression image of the first predeterminated frequency from the facial expression image of selection；
The facial expression image filtered out is recommended.
Alternatively, facial expression image corresponding with the mood expressed by the facial expression image is selected in the storehouse from expression
Afterwards, in addition to：
From server obtain download frequency be more than or equal to the second predeterminated frequency and with facial expression image institute table
Facial expression image corresponding to the mood reached；
Correspondingly, the facial expression image based on selection is recommended, including：
Facial expression image based on selection and the facial expression image obtained from the server are recommended.
According to the second aspect of the embodiment of the present application, there is provided a kind of recommendation apparatus of facial expression image, described device include：
Taking module, for shooting the facial expression image of active user；
Expression Recognition module, for carrying out Expression Recognition to the facial expression image, to determine the facial expression figure
As expressed mood；
Selecting module, for selecting expression figure corresponding with the mood expressed by the facial expression image from expression storehouse
Picture；
Recommending module, recommended for the facial expression image based on selection.
Alternatively, the Expression Recognition module includes：
Expression Recognition submodule, for carrying out expression knowledge to the facial expression image based on expression recognition algorithm
Not, to obtain mood label, the mood label is used to indicate the mood expressed by the facial expression image.
Alternatively, the selecting module includes：
Submodule is selected, for based on the mood label, from the mood label and facial expression image of the expression library storage
Between corresponding relation in selection corresponding to facial expression image；
First determination sub-module, for the feelings expressed by the facial expression image of selection is defined as with the facial expression image
Facial expression image corresponding to thread.
Alternatively, the recommending module includes：
Second determination sub-module, the frequency of use of each facial expression image for determining selection；
Screen submodule, for from the facial expression image of selection Select to use frequency be more than or equal to first predeterminated frequency
Facial expression image；
First recommends submodule, for the facial expression image filtered out to be recommended.
Alternatively, described device also includes：
Acquisition module, for from server obtain download frequency be more than or equal to the second predeterminated frequency and with the face
Facial expression image corresponding to mood expressed by facial expression image；
Correspondingly, the recommending module includes：
Second recommends submodule, enters for the facial expression image based on selection and the facial expression image obtained from the server
Row is recommended.
According to the third aspect of the application, there is provided a kind of terminal, the mobile terminal include memory, processor and deposited
Store up the computer program that can be run on the memory and on the processor, the computing device described program code
Method described in the above-mentioned first aspects of Shi Shixian.
According to the fourth aspect of the embodiment of the present application, there is provided a kind of computer-readable recording medium, it is described computer-readable
Instruction is stored with storage medium, it is described to instruct the step of realizing above-mentioned first aspect methods described when being executed by processor.
The beneficial effect brought of technical scheme that the embodiment of the present application provides is：Pass through the face of the active user to shooting
Facial expression image carry out Expression Recognition, determine the mood expressed by the facial expression image, afterwards, by from expression storehouse select with
Facial expression image corresponding to mood expressed by the facial expression image, recommended based on the facial expression image of the selection for user so that
Active user can directly choose the facial expression image liked from the facial expression image of recommendation, it is not necessary to be browsed in expression storehouse a large amount of
Facial expression image selected, reduce the time that selection facial expression image is spent, improve the efficiency of selection facial expression image.
Brief description of the drawings
In order to illustrate more clearly of the technical scheme in the embodiment of the present application, make required in being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present application, for
For those of ordinary skill in the art, on the premise of not paying creative work, other can also be obtained according to these accompanying drawings
Accompanying drawing.
Fig. 1 is the recommendation method flow diagram for the facial expression image that the embodiment of the present application provides；
Fig. 2 is the recommendation method flow diagram for the facial expression image that the embodiment of the present application provides；
Fig. 3 is the recommendation apparatus structural representation for the facial expression image that the embodiment of the present application provides；
Fig. 4 is the recommendation apparatus structural representation for the facial expression image that the embodiment of the present application provides.
Embodiment
To make the purpose, technical scheme and advantage of the application clearer, below in conjunction with accompanying drawing to the application embodiment party
Formula is described in further detail.
In order to make it easy to understand, before to the embodiment of the present application carrying out that explanation is explained in detail, first to the embodiment of the present application
Application scenarios be introduced.
At present, terminal has penetrated into the every aspect of people's life, comes especially by some application software of terminal
Communicated or social, generally when people are chatted, be sometimes not desired to the current mood that describes in words, can select simultaneously
Send facial expression image, but when the facial expression image in expression storehouse is excessive, selected from expression storehouse facial expression image need to browse it is a large amount of
Facial expression image, the time of cost is longer, so as to reduce the efficiency of selection of facial expression image.Therefore, the embodiment of the present application provides
A kind of recommendation method of facial expression image, so, user can directly select the expression figure liked from the facial expression image of recommendation
As sending, current mood is passed on this.
For example when user is come in for a chat by social networking application software, feel that language is not enough to express the excitement of heart, can be with
Selection sends the facial expression image liked from the facial expression image of recommendation, and such as jump up the cartoon expression image to turn around, is come with this
Pass on current mood.
For another example,, can be from recommendation in order to represent oneself to feel wronged when user is chatted by instant messaging application
Facial expression image in selection send suitable facial expression image, the facial expression image of circle of being drawn a circle in corner of such as squatting is more lively to realize
Express current mood.
Again for example, when user by application software watch video or it is live when, can be from the facial expression image of recommendation
Selection, which is sent, meets the facial expression image of mood instantly, come express the excitement of oneself heart, gambol or it is sad, do not like etc. it is more
Kind mood, the facial expression image such as thumbed up.
The embodiment of the present application can be applied not only in above-mentioned several application scenarios, in practical application, can also may answer
For in other application scenarios, be will not enumerate in this embodiment of the present application to other application scene.
Next the recommendation method of the facial expression image provided with reference to accompanying drawing the embodiment of the present application is described in detail.Figure
1 is a kind of recommendation method flow diagram for facial expression image that the embodiment of the present application provides, and referring to Fig. 1, this method comprises the following steps：
Step 101：Shoot the facial expression image of active user.
Step 102：Expression Recognition is carried out to the facial expression image, to determine the feelings expressed by the facial expression image
Thread.
Step 103：Facial expression image corresponding with the mood expressed by the facial expression image is selected from expression storehouse.
Step 104：Facial expression image based on selection is recommended.
In the embodiment of the present application, Expression Recognition is carried out by the facial expression image of the active user to shooting, it is determined that
Mood expressed by the facial expression image, afterwards, can be by expressed by the selection from expression storehouse and the facial expression image
Mood corresponding to facial expression image, based on the facial expression image of the selection be active user recommend so that active user can be direct
The facial expression image liked is chosen from the facial expression image of recommendation, it is not necessary to substantial amounts of facial expression image is browsed in expression storehouse to select
The facial expression image liked, reduce the time spent during selection facial expression image, improve the efficiency of selection facial expression image.
Alternatively, Expression Recognition is carried out to the facial expression image, to determine the mood expressed by the facial expression image,
Including：
Expression Recognition, to obtain mood label, the feelings are carried out to the facial expression image based on expression recognition algorithm
Thread label is used to indicate the mood expressed by the facial expression image.
Alternatively, facial expression image corresponding with the mood expressed by the facial expression image is selected from expression storehouse, including：
Based on the mood label, selected from the corresponding relation between the mood label and facial expression image of the expression library storage
Corresponding facial expression image；
The facial expression image of selection is defined as facial expression image corresponding with the mood expressed by the facial expression image.
Alternatively, the facial expression image based on selection is recommended, including：
Determine the frequency of use of each facial expression image of selection；
Select to use frequency is more than or equal to the facial expression image of the first predeterminated frequency from the facial expression image of selection；
The facial expression image filtered out is recommended.
Alternatively, after selecting facial expression image corresponding with the mood expressed by the facial expression image from expression storehouse,
Also include：
From server obtain download frequency be more than or equal to the second predeterminated frequency and with the facial expression image expressed by
Mood corresponding to facial expression image；
Correspondingly, the facial expression image based on selection is recommended, including：
Facial expression image based on selection and the facial expression image obtained from server are recommended.
Above-mentioned all optional technical schemes, can form the alternative embodiment of the application according to any combination, and the application is real
Example is applied to repeat no more this.
Fig. 2 is a kind of recommendation method flow diagram for facial expression image that the embodiment of the present application provides.The embodiment of the present application will be tied
Close Fig. 2 and expansion explanation is carried out to embodiment illustrated in fig. 1.Referring to Fig. 2, this method comprises the following steps：
Step 201：Shoot the facial expression image of active user.
It should be noted that the facial expression of shooting active user can detect the edit operation for input field
When, open camera and shot.Specifically, shooting can be opened when detecting the operation for the transmission expression of input field
Head, shoot the facial expression image of active user, naturally it is also possible to be when detecting the word input operation for input field
Camera is opened, shoots the facial expression image of active user.Trigger in practical application or in other cases and shoot
The operation of the facial expression image of active user, such as, in the voice messaging for receiving user and sending, and the voice messaging is uses
When the phonetic control command of expression is sent, camera is opened to shoot the facial expression image of active user, to this application
Not limit.
In addition, in order to avoid camera photographs garbage, cause to shoot the waste of resource, can be in preset duration
When being not detected by the edit operation for input field, camera is closed, stops the facial expression image of shooting active user, or
When detecting the edit operation for exiting the input field, camera is closed, stops the facial expression image of shooting active user.
Wherein, the preset duration can rule of thumb be set by designer, can also be carried out by other means
Setting.This application is not limited.
It should be noted that can avoid not exiting application software in active user through the above way, also do not enter
During row chat, camera still in the situation for the facial expression image for shooting active user, can also avoid exiting in active user
When application software or closing Chat page, camera is still in the situation for the facial expression image for shooting active user, Jin Ershi
The purpose to economize on resources is showed.
Step 202：Expression Recognition is carried out to the facial expression image, to determine the feelings expressed by the facial expression image
Thread.
Under normal circumstances, mood is a kind of subjective feeling, and the mood expressed by the facial expression image can not be straight
Identification is connect, therefore, the different moods expressed by the facial expression image can be classified, so that the facial expression image institute
The mood of expression corresponds to a kind of type of emotion, that is to say and corresponding mood is distributed to the mood expressed by the facial expression image
Label, the different moods expressed by the facial expression image are represented by different mood labels.
Therefore, when carrying out Expression Recognition to the facial expression image, to determine the mood expressed by the facial expression image
When, expression recognition algorithm can be based on Expression Recognition, to obtain mood label, the mood are carried out to the facial expression image
Label is used to indicate the mood expressed by the facial expression image.
In addition, the mood label can be configured in advance by designer, for example, can be it is happy, angry, surprised,
Detest, be frightened, hailing, be sad, be awkward, shedding tears, moving etc. a variety of moods set corresponding to mood label, certain practical application
In mood label corresponding to other moods, such as unlucky, grievance can also be set.This application is not limited.
It should be noted that when carrying out Expression Recognition based on expression recognition algorithm, following Face datection can be passed through
Realized with the four processes such as positioning, image preprocessing, feature extraction, expression classification recognition.
Face datection and positioning
When photographing the facial expression image of active user, due to people's face be present in the facial expression image that photographs
Skin region and non-skin region, in order to carry out Expression Recognition to the facial expression image, with advanced row Face datection and it can position,
To determine the position of face skin area.
Wherein, the detection of face can establish model with positioning using template matches or the method for sample learning, enter
And the position of face skin area is determined by the model of foundation.For example, multiple sample images can be obtained, multiple sample graphs
As including face skin area and non-face skin area, the Face datection model by multiple sample images to initialization
It is trained, obtains distinguishing the Face datection model of face skin area and non-face skin area, then will photograph
Input of the facial expression image as the Face datection model, determined by the Face datection model in the facial expression image
Face skin area and non-face skin area, to determine the position of face skin area.
Image preprocessing
Because the facial expression image of shooting can be influenceed by environment, the facial expression figure of the active user of shooting is caused
The contrast of picture is inconsistent, and when the focal length difference of shooting, the size of face also can in the facial expression image shot
Difference, these factors can all cause Expression Recognition result inaccurate, therefore, can be to people in order to avoid the generation of such case
Face detects carries out image preprocessing with the facial expression image after positioning.
Specifically, by the size adjusting of facial expression image can be specified size by geometrical normalization, and to the face
Face in portion's facial expression image carries out rotation correction.Afterwards, equalized by Nogata and carry out greyscale transformation, by facial expression image
The gray level image with inhomogeneous intensity is converted to, so as to strengthen the overall contrast of image.Because under normal circumstances, shooting obtains
Facial expression image in certain interference information be present, therefore, after gray level image is converted to, gray scale can also be carried out
The smooth and Edge contrast of image, to eliminate the noise of image and enhancing gray scale contrast so that edge lines are apparent from, after being
Continuous feature extraction lays the foundation.
Feature extraction
After portion's facial expression image is pre-processed over there, face skin area can be extracted from the facial expression image
Feature, due to being usually present information redundancy in primitive character, the problems such as dimension is too high, therefore, carry out feature extraction it
Before, the view data of the facial expression image can be subjected to dimension-reduction treatment, afterwards after view data carries out dimension-reduction treatment
The feature of face skin area is extracted in facial expression image.
Wherein, can be to facial expression image when the feature for extracting the face skin area in the facial expression image
The change in location of the notable feature of middle face is positioned, measured, such as eyes, eyebrow, face, to determine the big of these features
The features such as small, distance, shape and mutual ratio, the face obtained with extraction in the facial expression image are local special
Sign.It is of course also possible to pass through PCA (Principal Components Analysis, principal component analysis) and ICA
The method of (Independent Component Analysis, independent component analysis) extracts the face in the facial expression image
The feature of skin area, or facial expression image of changing commanders is become by Gabor wavelet and changes to frequency domain from transform of spatial domain, then
The frequency characteristic of field in facial expression image is extracted again.
Feature extraction can also be carried out by other means in practical application, dynamic image is extracted for example with optical flow method
Motion feature of sequence etc., this application is not limited.
Expression classification recognition
Expression classification is that the mood label of facial expression image is identified by disaggregated model, to determine the facial expression figure
As expressed mood.
Wherein, the disaggregated model is the rule by analyzing sample facial expression image, with by each sample facial expression image with
And mood expressed by the sample facial expression image trains to obtain disaggregated model.So, subsequently can be to pass through the disaggregated model
Determine the mood label of some image.Usual disaggregated model can use linear classifier, neural network classifier, supporting vector
The models such as machine, hidden Markov model.In certain practical application, it can also be realized using other models, to this application
Not limit.
Step 203：Facial expression image corresponding with the mood expressed by the facial expression image is selected from expression storehouse.
Under normal circumstances, what is stored in expression storehouse is facial expression image, and all facial expression images are according to download time, net
Network download sorts, or according to other sortords, being ranked up such as pouplarity, that is to say expression
It is the facial expression image directly stored in storehouse.And in the embodiment of the present application, for the ease of being rapidly selected from expression storehouse with being somebody's turn to do
Facial expression image corresponding to mood expressed by facial expression image, can be by the facial expression image stored in expression storehouse and mood label
It is mapped, the corresponding relation formed between mood label and facial expression image, that is to say, the facial expression image that will be stored in expression storehouse
Classified, it is determined that per mood label corresponding to class facial expression image, it is corresponding between mood label and facial expression image so as to create
Relation.
Therefore, can when selecting facial expression image corresponding with the mood expressed by the facial expression image from expression storehouse
So that based on the mood label, selection is corresponding from the corresponding relation between the mood label and facial expression image of the expression library storage
Facial expression image, and the facial expression image of selection is defined as facial expression image corresponding with the mood expressed by the facial expression image.
, can be by designer's table to being stored in the expression storehouse in advance it should be noted that in the embodiment of the present application
Feelings image is classified, and to create the corresponding relation between mood label and facial expression image, can also be led in certain practical application
Other modes setting is crossed, this application is not limited.
For example, the corresponding relation between the mood label and facial expression image of storage is as described in Table 1, it is assumed that to photographing
Facial expression image carry out Expression Recognition after, it is determined that obtained mood label is " cheer ", it is assumed that from the correspondence shown in table 1
It is " A, B, C ... " that facial expression image corresponding to the mood label is determined in relation.It is at this point it is possible to mood label in table 1 is " joyous
Exhale " corresponding to facial expression image " A, B, C ... " be defined as facial expression image corresponding with the mood expressed by the facial expression image.
Table 1
| Mood label | Facial expression image |
| Happily | a、b、c…… |
| Hail | A、B、C…… |
| Shed tears | 1、2、3…… |
| …… | …… |
It should be noted that pair of the embodiment of the present application only between the mood label and facial expression image shown in above-mentioned table 1
Illustrated exemplified by should being related to, above-mentioned table 1 is not formed to the embodiment of the present application and limited.
Further, in practical application, it is contemplated that active user may want to not stored in selection expression storehouse but popular
The higher facial expression image of degree, but be not desired to spend the time it is special remove to download facial expression image, therefore from expression storehouse selection with
After facial expression image corresponding to mood expressed by the facial expression image, download frequency can also be obtained from server and be more than
Or equal to the second predeterminated frequency and facial expression image corresponding with the mood expressed by the facial expression image.
It should be noted that the second predeterminated frequency can be set in advance.It can certainly carry out by other means
Setting, this application is not limited.
What deserves to be explained is it can be provided by obtaining facial expression image from server for active user outside expression storehouse
Facial expression image, it that is to say, the embodiment of the present application can not only provide the facial expression image in local expression storehouse for active user, may be used also
Think that active user improves the facial expression image that other users download frequency is higher on server, so, not only increase current use
The feeling of freshness at family, and also fully taken into account active user and may want to use facial expression image relatively popular in network
Demand, better service is provided for active user, and also save active user and popular expression is downloaded from server
The time of image.
Expression figure corresponding with the mood expressed by the facial expression image is selected from expression storehouse by above-mentioned steps 203
As after, it can be recommended with facial expression image of the 204- steps 206 as follows based on selection, so, active user is just
The facial expression image of itself mood can be selected can currently to express from the facial expression image of recommendation, and come without taking a significant amount of time
Browse the facial expression image in expression storehouse.
Step 204：Determine the frequency of use of each facial expression image of selection.
Because under normal circumstances, a mood label may correspond to multiple facial expression images, and different user is to same feelings
The fancy grade of multiple facial expression images under thread label may also be different, therefore, before facial expression image is recommended, can also determine
The frequency of use of each facial expression image of selection, can be not only that active user recommends to prefer according to frequency of use so
And the facial expression image that meets current mood, facilitate active user to select itself conventional facial expression image.
Step 205：Select to use frequency is more than or equal to the expression figure of the first predeterminated frequency from the facial expression image of selection
Picture.
Wherein, the first predeterminated frequency can be set in advance.It can certainly be set by other means, to this
The application not limits.
It should be noted that after the frequency of use of each facial expression image of selection is determined by step 204, in order to
The higher facial expression image of active user's access times is filtered out from the facial expression image of selection, can be from the facial expression image of selection
Select to use frequency is more than or equal to the facial expression image of the first predeterminated frequency, is selected with this and meets active user's use habit and can
To give expression to the facial expression image of active user's mood, and recommended by subsequent step.
Step 206：The facial expression image filtered out is recommended.
Wherein, the facial expression image for the above-mentioned frequency of use filtered out being more than or equal to the first predeterminated frequency is recommended currently
User, so that active user is selected.Specifically, the facial expression image filtered out can be filled into suspended frame, with display
To active user, the recommendation of facial expression image is realized.
It should be noted that when in step 203 from expression storehouse selection with the facial expression image expressed by mood
After corresponding facial expression image, using from server obtain download frequency be more than or equal to the second predeterminated frequency and with the face
Corresponding to mood expressed by facial expression image during the implementation of facial expression image, recommended in the facial expression image based on selection
When, facial expression image that can be based on selection and the facial expression image obtained from server are recommended.
Wherein, the frequency of use screened from local expression storehouse is more than or equal to the facial expression image of the first predeterminated frequency,
And the facial expression image obtained from server all recommends active user, fully take into account active user itself uses frequency
The pouplarity of facial expression image corresponding with the mood expressed by the facial expression image, is current in rate, and server
User recommend it is corresponding with current emotional commonly use facial expression image while, can also recommend on network corresponding with current emotional by
The facial expression image of welcome, adds feeling of freshness.
In addition, when recommending the facial expression image obtained from server for active user, it is to pay that can show the facial expression image
Take facial expression image or free facial expression image, to prompt active user, have selected to obtain from server in active user and download
, can be with when frequency is more than or equal to the second predeterminated frequency and facial expression image corresponding with the mood expressed by the facial expression image
Directly the facial expression image is downloaded in expression storehouse, is easy to subsequently be continuing with the facial expression image.
In the embodiment of the present application, Expression Recognition is carried out by the facial expression image of the active user to shooting, with true
Mood expressed by the fixed facial expression image, afterwards, from expression storehouse Select to use frequency it is higher and with the facial expression figure
The facial expression image as corresponding to expressed mood, fully take into account frequency of use of the active user itself to facial expression image.And
In addition to this it is possible to from server obtain download frequency be more than or equal to the second predeterminated frequency and with the facial expression image
Facial expression image corresponding to expressed mood, so, obtained based on the facial expression image selected from expression storehouse and from server
Facial expression image be that user recommends, be also active user so as to not be only that active user recommends the local facial expression image often used
Meet active user's mood and the higher facial expression image of pouplarity in recommendation server, so as to add the new of active user
Fresh sense so that active user can directly choose the facial expression image liked from the facial expression image of recommendation, it is not necessary in expression storehouse
In browse substantial amounts of facial expression image to be selected, reduce selection facial expression image spend time, improve selection expression figure
The efficiency of picture.
After the recommendation method of the facial expression image provided the embodiment of the present application is explained, next, to this
The recommendation apparatus for the facial expression image for applying providing is introduced.
Fig. 3 is a kind of recommendation apparatus structural representation for expression picture that the embodiment of the present application provides.Referring to Fig. 3, the dress
Put including：Taking module 301, Expression Recognition module 302, selecting module 303, recommending module 304.
Taking module 301, for shooting the facial expression image of active user；
Expression Recognition module 302, for carrying out Expression Recognition to the facial expression image, to determine the facial expression image
Expressed mood；
Selecting module 303, for selecting expression corresponding with the mood expressed by the facial expression image from expression storehouse
Image；
Recommending module 304, recommended for the facial expression image based on selection.
Alternatively, Expression Recognition module 302 includes：
Expression Recognition submodule, for carrying out Expression Recognition to the facial expression image based on expression recognition algorithm,
To obtain mood label, the mood label is used to indicate the mood expressed by the facial expression image.
Alternatively, selecting module 303 includes：
Submodule is selected, for based on the mood label, between the mood label and facial expression image of the expression library storage
Corresponding relation in selection corresponding to facial expression image；
First determination sub-module, for the facial expression image of selection to be defined as and the mood expressed by the facial expression image
Corresponding facial expression image.
Alternatively, recommending module 304 includes：
Second determination sub-module, the frequency of use of each facial expression image for determining selection；
Screen submodule, for from the facial expression image of selection Select to use frequency be more than or equal to first predeterminated frequency
Facial expression image；
First recommends submodule, for the facial expression image filtered out to be recommended.
Alternatively, the device also includes：
Acquisition module, for from server obtain download frequency be more than or equal to the second predeterminated frequency and with the facial table
Facial expression image corresponding to mood expressed by feelings image；
Correspondingly, recommending module includes：
Second recommends submodule, and the facial expression image obtained for the facial expression image based on selection and from server is pushed away
Recommend.
In the embodiment of the present application, Expression Recognition is carried out by the facial expression image of the active user to shooting, it is determined that
Mood expressed by the facial expression image, afterwards, by being selected from expression storehouse and the feelings expressed by the facial expression image
Facial expression image corresponding to thread, it is that active user recommends based on the facial expression image of the selection so that active user can be directly from pushing away
The facial expression image liked is chosen in the facial expression image recommended, it is not necessary to substantial amounts of facial expression image is browsed in expression storehouse to be selected
Select, reduce the time that selection facial expression image is spent, improve the efficiency of selection facial expression image.
It should be noted that：Above-described embodiment provide facial expression image recommendation apparatus when recommending facial expression image, only with
The division progress of above-mentioned each functional module, can be as needed and by above-mentioned function distribution by not for example, in practical application
Same functional module is completed, i.e., the internal structure of device is divided into different functional modules, to complete whole described above
Or partial function.In addition, the recommendation apparatus for the facial expression image that above-described embodiment provides and the recommendation method of facial expression image are implemented
Example belongs to same design, and its specific implementation process refers to embodiment of the method, repeats no more here.
Fig. 4 is a kind of recommendation apparatus structural representation for facial expression image that the embodiment of the present application provides.Referring to Fig. 4, the dress
Communication unit 410 can be included, include the memory 420, defeated of one or more computer-readable recording mediums by putting 400
Enter unit 430, display unit 440, sensor 450, voicefrequency circuit 460, WIFI (Wireless Fidelity, Wireless Fidelity)
Module 470, include the part such as one or the processor 480 of more than one processing core and power supply 490.This area skill
Art personnel are appreciated that the apparatus structure shown in Fig. 4 does not form the restriction to the device, can include more more than illustrating
Or less part, either combine some parts or different parts arrangement.Wherein：
Communication unit 410 can be used for receive and send messages or communication process in, the reception and transmission of signal, the communication unit 410
Can be RF (Radio Frequency, radio frequency) circuit, router, modem, etc. network communication equipment.Especially, when
When communication unit 410 is RF circuits, after the downlink information of base station is received, transfer at one or more than one processor 480
Reason；In addition, it is sent to base station by up data are related to.Usually as communication unit RF circuits include but is not limited to antenna,
At least one amplifier, tuner, one or more oscillators, subscriber identity module (SIM) card, transceiver, coupler,
LNA (Low Noise Amplifier, low-noise amplifier), duplexer etc..In addition, communication unit 410 can also be by wireless
Communication communicates with network and other equipment.The radio communication can use any communication standard or agreement, include but is not limited to
GSM, GPRS (General Packet Radio Service, general packet radio service), CDMA (Code Division
Multiple Access, CDMA), WCDMA, LTE (Long Term Evolution, Long Term Evolution), Email,
SMS (Short Messaging Service, Short Message Service) etc..Memory 420 can be used for storage software program and mould
Block, processor 480 are stored in the software program and module of memory 420 by operation, so as to perform various function application with
And data processing.Memory 420 can mainly include storing program area and storage data field, wherein, storing program area can store behaviour
Make system, application program (such as sound-playing function, image player function etc.) needed at least one function etc.；Data storage
Area can store uses created data (such as voice data, phone directory etc.) etc. according to the device 400.In addition, memory
420 can include high-speed random access memory, can also include nonvolatile memory, for example, at least a magnetic disk storage
Part, flush memory device or other volatile solid-state parts.Correspondingly, memory 420 can also include Memory Controller,
To provide the access of processor 480 and input block 430 to memory 420.
Input block 430 can be used for the numeral or character information for receiving input, and generation is set with user and function
Control relevant keyboard, mouse, action bars, optics or the input of trace ball signal.Preferably, input block 430 may include to touch
Sensitive surfaces 431 and other input equipments 432.Touch sensitive surface 431, also referred to as touch display screen or Trackpad, collect and use
Family on or near it touch operation (such as user using any suitable object or annex such as finger, stylus in touch-sensitive table
Operation on face 431 or near touch sensitive surface 431), and corresponding attachment means are driven according to formula set in advance.It is optional
, touch sensitive surface 431 may include both touch detecting apparatus and touch controller.Wherein, touch detecting apparatus detection is used
The touch orientation at family, and the signal that touch operation is brought is detected, transmit a signal to touch controller；Touch controller is from touch
Touch information is received in detection means, and is converted into contact coordinate, then gives processor 480, and can reception processing device 480
The order sent simultaneously is performed.Furthermore, it is possible to using polytypes such as resistance-type, condenser type, infrared ray and surface acoustic waves
Realize touch sensitive surface 431.Except touch sensitive surface 431, input block 430 can also include other input equipments 432.Preferably,
Other input equipments 432 can include but is not limited to physical keyboard, function key (such as volume control button, switch key etc.),
One or more in trace ball, mouse, action bars etc..
Display unit 440 can be used for display by the information of user's input or be supplied to the information and terminal 400 of user
Various graphical user interface, these graphical user interface can be made up of figure, text, icon, video and its any combination.
Display unit 440 may include display panel 441, optionally, can use LCD (Liquid Crystal Display, liquid crystal
Show device), the form such as OLED (Organic Light-Emitting Diode, Organic Light Emitting Diode) configure display panel
441.Further, touch sensitive surface 431 can cover display panel 441, when touch sensitive surface 431 detects touching on or near it
After touching operation, processor 480 is sent to determine the type of touch event, is followed by subsequent processing type of the device 480 according to touch event
Corresponding visual output is provided on display panel 441.Although in Fig. 4, touch sensitive surface 431 and display panel 441 are conducts
Two independent parts come realize input and input function, but in some embodiments it is possible to by touch sensitive surface 431 with display
Panel 441 is integrated and realizes input and output function.
The device 400 may also include at least one sensor 450, such as optical sensor, motion sensor and other biographies
Sensor.Optical sensor may include ambient light sensor and proximity transducer, wherein, ambient light sensor can be according to ambient light
Light and shade adjusts the brightness of display panel 441, and proximity transducer can close display panel when the device 400 is moved in one's ear
441 and/or backlight.As one kind of motion sensor, gravity accelerometer can detect in all directions (generally three
Axle) acceleration size, size and the direction of gravity are can detect that when static, available for identification mobile phone posture application (such as
Horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, tap) etc.；As for
The other sensors such as gyroscope that the device 400 can also configure, barometer, hygrometer, thermometer, infrared ray sensor, herein
Repeat no more.
Voicefrequency circuit 460, loudspeaker 461, microphone 462 can provide the COBBAIF between user and the device 400.Sound
Electric signal after the voice data received conversion can be transferred to loudspeaker 461, is converted to by loudspeaker 461 by frequency circuit 460
Voice signal exports；On the other hand, the voice signal of collection is converted to electric signal by microphone 462, is received by voicefrequency circuit 460
After be converted to voice data, it is such as another to be sent to through communication unit 410 then after voice data output processor 480 is handled
One terminal, or voice data is exported to memory 420 further to handle.Voicefrequency circuit 460 is also possible that earplug
Jack, to provide the communication of peripheral hardware earphone and terminal 400.
In order to realize radio communication, wireless communication unit 470 can be configured with the terminal, the wireless communication unit 470
It can be WIFI module.WIFI belongs to short range wireless transmission technology, and the device 400 can be helped by wireless communication unit 470
Help user to send and receive e-mail, browse webpage and access streaming video etc., it has provided the user wireless broadband internet and visited
Ask.Although showing wireless communication unit 470 in Fig. 4, but it is understood that, it is simultaneously not belonging to the necessary of the device 400
Form, can be omitted as needed in the essential scope for do not change invention completely.
Processor 480 is the control centre of the device 400, utilizes various interfaces and each portion of connection whole mobile phone
Point, by running or performing the software program and/or module that are stored in memory 420, and call and be stored in memory 420
Interior data, the various functions and processing data of the device 400 are performed, so as to carry out integral monitoring to mobile phone.Optionally, handle
Device 480 may include one or more processing cores；Preferably, processor 480 can integrate application processor and modulation /demodulation processing
Device, wherein, application processor mainly handles operating system, user interface and application program etc., and modem processor is mainly located
Manage radio communication.It is understood that above-mentioned modem processor can not also be integrated into processor 480.
The device 400 also includes the power supply 490 (such as battery) to all parts power supply, it is preferred that power supply can pass through
Power-supply management system and processor 480 are logically contiguous, so as to realize management charging, electric discharge, Yi Jigong by power-supply management system
The functions such as consumption management.Power supply 460 can also include one or more direct current or AC power, recharging system, power supply
The random component such as failure detector circuit, power supply changeover device or inverter, power supply status indicator.
Although being not shown, the device 400 can also include camera, bluetooth module etc., will not be repeated here.
In the present embodiment, the device also includes one or more than one program, this or more than one
Program storage is configured to by one or more than one computing device in memory, it is one or one with
Upper program bag contains the finger for the recommendation method for being used to carry out the facial expression image described in above-mentioned Fig. 1-Fig. 2 of the embodiment of the present application offer
Order.
In the exemplary embodiment, a kind of non-transitorycomputer readable storage medium including instructing, example are additionally provided
Such as include the memory of instruction, above-mentioned instruction can complete the above method by the computing device of the device.Non- face for example, described
When property computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and light data
Storage device etc..
One of ordinary skill in the art will appreciate that hardware can be passed through by realizing all or part of step of above-described embodiment
To complete, by program the hardware of correlation can also be instructed to complete, described program can be stored in a kind of computer-readable
In storage medium, storage medium mentioned above can be read-only storage, disk or CD etc..
The foregoing is only the preferred embodiment of the application, not to limit the application, it is all in spirit herein and
Within principle, any modification, equivalent substitution and improvements made etc., it should be included within the protection domain of the application.
Claims (12)
1. a kind of recommendation method of facial expression image, it is characterised in that methods described includes：
Shoot the facial expression image of active user；
Expression Recognition is carried out to the facial expression image, to determine the mood expressed by the facial expression image；
Facial expression image corresponding with the mood expressed by the facial expression image is selected from expression storehouse；
Facial expression image based on selection is recommended.
2. the method as described in claim 1, it is characterised in that it is described that Expression Recognition is carried out to the facial expression image, with
The mood expressed by the facial expression image is determined, including：
Expression Recognition is carried out to the facial expression image based on expression recognition algorithm, to obtain mood label, the feelings
Thread label is used to indicate the mood expressed by the facial expression image.
3. method as claimed in claim 2, it is characterised in that selection and the facial expression image institute in the storehouse from expression
Facial expression image corresponding to the mood of expression, including：
Based on the mood label, selected from the corresponding relation between the mood label and facial expression image of the expression library storage
Corresponding facial expression image；
The facial expression image of selection is defined as facial expression image corresponding with the mood expressed by the facial expression image.
4. the method as described in claim 1-3 is any, it is characterised in that the facial expression image based on selection is recommended,
Including：
Determine the frequency of use of each facial expression image of selection；
Select to use frequency is more than or equal to the facial expression image of the first predeterminated frequency from the facial expression image of selection；
The facial expression image filtered out is recommended.
5. the method as described in claim 1, it is characterised in that selection and the facial expression image institute in the storehouse from expression
After facial expression image corresponding to the mood of expression, in addition to：
From server obtain download frequency be more than or equal to the second predeterminated frequency and with the facial expression image expressed by
Facial expression image corresponding to mood；
Correspondingly, the facial expression image based on selection is recommended, including：
Facial expression image based on selection and the facial expression image obtained from the server are recommended.
6. a kind of recommendation apparatus of facial expression image, it is characterised in that described device includes：
Taking module, for shooting the facial expression image of active user；
Expression Recognition module, for carrying out Expression Recognition to the facial expression image, to determine the facial expression image institute
The mood of expression；
Selecting module, for selecting facial expression image corresponding with the mood expressed by the facial expression image from expression storehouse；
Recommending module, recommended for the facial expression image based on selection.
7. device as claimed in claim 6, it is characterised in that the Expression Recognition module includes：
Expression Recognition submodule, for carrying out Expression Recognition to the facial expression image based on expression recognition algorithm, with
Mood label is obtained, the mood label is used to indicate the mood expressed by the facial expression image.
8. device as claimed in claim 7, it is characterised in that the selecting module includes：
Submodule is selected, for based on the mood label, between the mood label and facial expression image of the expression library storage
Corresponding relation in selection corresponding to facial expression image；
First determination sub-module, for the mood pair expressed by the facial expression image of selection is defined as with the facial expression image
The facial expression image answered.
9. the device as described in claim 6-8 is any, it is characterised in that the recommending module includes：
Second determination sub-module, the frequency of use of each facial expression image for determining selection；
Screen submodule, for from the facial expression image of selection Select to use frequency be more than or equal to the first predeterminated frequency expression
Image；
First recommends submodule, for the facial expression image filtered out to be recommended.
10. device as claimed in claim 6, it is characterised in that described device also includes：
Acquisition module, for from server obtain download frequency be more than or equal to the second predeterminated frequency and with the facial expression
Facial expression image corresponding to mood expressed by image；
Correspondingly, the recommending module includes：
Second recommends submodule, is pushed away for the facial expression image based on selection and the facial expression image obtained from the server
Recommend.
11. a kind of terminal, including memory, processor and it is stored on the memory and can runs on the processor
Computer program, it is characterised in that the processor is configured as the step that perform claim requires any one method described in 1-5
Suddenly.
A kind of 12. computer-readable recording medium, it is characterised in that instruction is stored with the computer-readable recording medium,
When run on a computer so that computer performs the method as described in claim any one of 1-5.
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| CN111405307A (en) * | 2020-03-20 | 2020-07-10 | 广州华多网络科技有限公司 | Live broadcast template configuration method and device and electronic equipment |
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