CN105979331A - Smart television data recommend method and device - Google Patents
Smart television data recommend method and device Download PDFInfo
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- CN105979331A CN105979331A CN201510869912.7A CN201510869912A CN105979331A CN 105979331 A CN105979331 A CN 105979331A CN 201510869912 A CN201510869912 A CN 201510869912A CN 105979331 A CN105979331 A CN 105979331A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
- H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/41—Structure of client; Structure of client peripherals
- H04N21/422—Input-only peripherals, i.e. input devices connected to specially adapted client devices, e.g. global positioning system [GPS]
- H04N21/4223—Cameras
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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- Engineering & Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Databases & Information Systems (AREA)
- Social Psychology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Biomedical Technology (AREA)
- Human Computer Interaction (AREA)
- Theoretical Computer Science (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The embodiment of the invention provides a smart television data recommend method and device. The method comprises: starting a camera device while opening a smart television; performing face detection of photographs shot by the camera device, and obtaining data of at least one face feature point when the photographs include single users; obtaining users' attribute information according to the data of at least one face feature point; and controlling the smart television to recommend data according to the attribute information. When a single user is able to use a television according to the embodiment of the invention, the user does not need to perform account switching and can automatically and adaptively recommend data according to the current user's features, so that the smart television data recommend method and device are flexible and convenient, and greatly improve the user experience.
Description
Technical field
The present invention relates to household electrical appliance technical field, particularly relate to the data recommendation side of a kind of intelligent television
Method and device.
Background technology
Huge numbers of families come into by TV, obtained information information by viewing TV, it has also become people
A kind of common living habit.But, TV is the equipment that a whole family uses, different people's happinesses
Good different, recommending data such as video recommendations data and application that user needs when watching television set
Recommending datas etc. are the most different.
Prior art switches login account by user and realizes according to user setup recommending data, but
The mode of this recommending data is more complicated for the user such as old man and child of a lot of TVs,
Using inconvenience, and these users do not have such use habit yet, Consumer's Experience is poor.
Summary of the invention
The embodiment of the present invention provides data recommendation method and the device of a kind of intelligent television, existing in order to solve
Technology needs user to switch login account to realize recommending data, and causes user to use inconvenience, user's body
Test poor defect so that active user is when using TV, it is not necessary to active user carries out account switching, i.e.
Consumer's Experience can be drastically increased automatically according to active user's feature recommending data.
In order to solve the problems referred to above, the embodiment of the invention discloses the data recommendation method of a kind of intelligent television,
Comprise the following steps: open intelligent television and start camera head simultaneously；The photo of camera head shooting is entered
Row Face datection, and when described photo includes unique user, from least one face of described photograph acquisition
Characteristic point data；Attribute information according to user described at least one face feature point data acquisition described；
Control described intelligent television according to described attribute information recommending data.
In order to solve the problems referred to above, the embodiment of the invention also discloses the data recommendation dress of a kind of intelligent television
Put, including: start module, be used for opening intelligent television and start camera head simultaneously；Face detection module,
Photo for shooting camera head carries out Face datection, and when described photo includes unique user,
From at least one facial characteristics point data of described photograph acquisition；Attribute information acquisition module, for according to institute
State the attribute information of user described at least one face feature point data acquisition；Control module, is used for controlling
Described intelligent television is according to described attribute information recommending data.
The data recommendation method of a kind of intelligent television that the embodiment of the present invention provides and device, opening intelligence
After starting camera head during energy television identical, the photo of camera head shooting is carried out Face datection, and works as
When photo includes unique user such as old man, child or other user, from least one face of photograph acquisition
Portion's characteristic point data, and then according to the attribute information of at least one face feature point data acquisition user,
Finally control intelligent television according to attribute information recommending data.Thus realize using TV at unique user
Time, it is not necessary to user carries out account switching, automatically according to active user's feature recommending data, flexibly and easily,
Drastically increase Consumer's Experience.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to reality
Execute the required accompanying drawing used in example or description of the prior art to be briefly described, it should be apparent that under,
Accompanying drawing during face describes is some embodiments of the present invention, for those of ordinary skill in the art,
On the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of steps of the data recommendation method of a kind of intelligent television of the embodiment of the present invention；
Fig. 2 is the flow chart of steps of the data recommendation method of embodiment of the present invention another kind intelligent television；
Fig. 3 is the structured flowchart of the data recommendation device of a kind of intelligent television of the embodiment of the present invention；
Fig. 4 is the structured flowchart of the data recommendation device of embodiment of the present invention another kind intelligent television.
Detailed description of the invention
For making the purpose of the embodiment of the present invention, technical scheme and advantage clearer, below in conjunction with this
Accompanying drawing in bright embodiment, is clearly and completely described the technical scheme in the embodiment of the present invention,
Obviously, described embodiment is a part of embodiment of the present invention rather than whole embodiments.Based on
Embodiment in the present invention, those of ordinary skill in the art are obtained under not making creative work premise
The every other embodiment obtained, broadly falls into the scope of protection of the invention.
Embodiment one
With reference to Fig. 1, it is shown that the step stream of the data recommendation method of a kind of intelligent television of the embodiment of the present invention
Cheng Tu.
The data recommendation method of the intelligent television of the embodiment of the present invention may comprise steps of:
S1, opens intelligent television and starts camera head simultaneously.
Wherein, after step S1 starts camera head, if user enters the identification of the photographic head of camera head
During scope, the photo of camera head shooting user.
S2, carries out Face datection to the photo of camera head shooting, and when photo includes unique user,
From at least one facial characteristics point data of photograph acquisition.
Wherein, the photo that step S2 can shoot from the photographic head bottom preview acquirement of camera head, and
Determine after photo is carried out Face datection that photo includes the quantity of user.Wherein, when face Part of photos taken bag
When including unique user such as old man, child or other user, step S2 can carry out Face datection to photo
At least one facial characteristics point data of rear acquisition, such as face key feature point data, enters step S3.
S3, according to the attribute information of at least one face feature point data acquisition user.
Step S3 can carry out the attribute according at least one face feature point data acquisition user by high in the clouds
Information, enters step S4.
Specifically, the attribute information of user can include one or more in sex, age or race,
Could be included for distinguishing other attribute information of user identity.
S4, controls intelligent television according to attribute information recommending data.
Wherein, the data that intelligent television is recommended can include in system message, video data or poster data
One or more, it is also possible to include other according to attribute information recommend data.Owing to step S4 is permissible
Control intelligent television and recommend to be suitable for the data of user according to attribute information, such as when unique user is child,
Step S4 can control intelligent television and recommend cartoon, and seeing that TV is little more than 1 constantly, and system carries
Showing have a rest plays；The most such as, when unique user is adolescence, step S4 can control Intelligent electric
Depending on recommending film, TV play or variety show etc., and seeing that TV is little more than 2 hours or 3 constantly,
System prompt should be had a rest for a moment；The most such as, when unique user is old people, step S4 can control
Intelligent television recommends TV play or variety show etc., and is seeing that TV is little more than 2 hours or 3 constantly,
System prompt should be had a rest for a moment.Thus user is without carrying out account switching, sense can be obtained easily emerging
Interest or the data needed, drastically increase Consumer's Experience.
According to embodiments of the present invention one, opening after intelligent television starts camera head simultaneously, to shooting dress
Put the photo of shooting and carry out Face datection, and when photo include unique user such as old man, child or other
During user, from least one facial characteristics point data of photograph acquisition, and then according at least one facial characteristics
Point data obtains the attribute information of user, finally controls intelligent television according to attribute information recommending data.From
And realizing when unique user uses TV, it is not necessary to user carries out account switching, automatically according to active user
Feature recommending data, flexibly and easily, drastically increases Consumer's Experience.
Embodiment two
With reference to Fig. 2, it is shown that the step of the data recommendation method of embodiment of the present invention another kind intelligent television
Flow chart.The data recommendation method of this intelligent television may comprise steps of:
S21, opens intelligent television and starts camera head simultaneously.
Wherein, after step S21 starts camera head, if user enters the knowledge of the photographic head of camera head
During other scope, the photo of camera head shooting user.
S22, carries out Face datection to the photo of camera head shooting, and when photo includes unique user,
From at least one facial characteristics point data of photograph acquisition；From at least one facial characteristics point data of photograph acquisition,
May include that
S221, carries out Face datection to obtain face Part of photos taken to photo.
Wherein, step S22 can obtain the photo of shooting from the photographic head bottom preview of camera head, and
After photo is carried out Face datection, determine that photo includes the quantity of user.Wherein, when face Part of photos taken
During including unique user such as old man, child or other user, enter step S221.
S222, extracts at least one facial characteristics point data from face Part of photos taken.
Step S222 is relative to directly extracting at least one facial characteristics point data from the photo shot, permissible
Save substantial amounts of data analysis resource.Step S222 can obtain at least one after photo is carried out Face datection
Individual facial characteristics point data, such as face key feature point data, enters step S23.
S23, according to the attribute information of at least one face feature point data acquisition user；Wherein, user is worked as
When not logging in personal account, according to the attribute information of at least one face feature point data acquisition user, can
To include:
S231, is carried out at least one facial characteristics point data with the characteristic in default property data base
Comparison, and using comparison result as the attribute information of user.
Specifically, the attribute information (being properly termed as identity) of user can include sex, age or race
In one or more, it is also possible to include other attribute information for distinguishing user.Wherein, step S231
At least one facial characteristics point data can be sent to high in the clouds, it is possible to by high in the clouds by least one face
Portion's characteristic point data is compared with the characteristic in default property data base.
It should be noted that preset property data base can be arranged on high in the clouds, preset property data base permissible
(include that user registers account according to Learning Automata system according to the personal information of user's typing in personal account
During family, the personal information of typing and user revise the personal information of typing in existing account) carry out oneself's instruction
Practice.Such as, if user's identity of active identification oneself in personal information is male 25 years old, that
After user logs in personal account, from camera head shooting this unique user photo extract to
A few facial characteristics point data is just associated with this identity, when the face feature point that this identity is corresponding
After data volume is sufficiently large, Learning Automata system has some total features it may determine that go out this identity
Data, hereafter, even if user is without logging into personal account, photograph this unique user photo at camera head
Time, according to these total characteristics, step S23 just can determine that identity corresponding to active user is man
Property, about 25 years old.It addition, when this identity has the newest facial characteristics point data to occur, permissible
Also with this identity, these new facial characteristics point data are carried out auto-associating, and this association process is permissible
Revised the most adaptively by Learning Automata system, to improve the attribute information of step S23 acquisition user
Accuracy.
When user logs in personal account, according to the attribute of at least one face feature point data acquisition user
Information, including:
S232, is carried out at least one facial characteristics point data with the characteristic in default property data base
Comparison, and the attribute information of user is determined according to the personal information in comparison result and personal account.
Wherein, at least one facial characteristics point data can be sent to high in the clouds by step S232, and passes through cloud
At least one facial characteristics point data is compared by end with the characteristic in default property data base, than
Can be attribute information or the attribute information of incomplete user the most accurately of user accurately to result, and then
According to the personal information in personal account, comparison result is modified, i.e. can determine that the genus of user accurately
Property information.Such as, comparison result be identity corresponding to active user be male, about 25 years old, and user
Personal information in personal account is male 25 years old, then step S232 determines that the attribute information of user is man
Property 25 years old.
S24, controls intelligent television according to attribute information recommending data.
Wherein, the data that intelligent television is recommended can include in system message, video data or poster data
One or more, it is also possible to include other according to attribute information recommend data.Owing to step S24 can
Recommend to be suitable for the data of user according to attribute information controlling intelligent television, such as, be child when unique user
Time, step S24 can control intelligent television and recommend cartoon, and see that TV is little more than 1 constantly,
System prompt should be had a rest and be played；The most such as, when unique user is adolescence, step S24 can be controlled
Intelligent television processed recommends film, TV play or variety show etc., and is seeing that TV was more than 2 hours or 3
Little constantly, system prompt should be had a rest for a moment；The most such as, when unique user is old people, step S24
Intelligent television can be controlled and recommend TV play or variety show etc., and see that TV was more than 2 hours or 3
Little constantly, system prompt should be had a rest for a moment.Thus user is without carrying out account switching, can be easily
Obtain data that are interested or that need, drastically increase Consumer's Experience.
S25, records at least one facial characteristics point data to presetting property data base.
Wherein it is possible at least one facial characteristics point data is sent extremely in step S231 or step S232
During high in the clouds, enter step S25.
S26, according to Learning Automata system by the distribution of at least one facial characteristics point data to presetting characteristic
In storehouse in multiple property values of attribute information.
Wherein, multiple property values can be above-mentioned sex, age, race etc..Such as step S26 can
The facial characteristics embodying sex at least one facial characteristics point data is counted according to Learning Automata system
According to, embody the age facial characteristics point data, embody race facial characteristics point data decile do not unite
Meter, and by statistical data distribution to corresponding property value.Thus improve the data presetting property data base
Amount, and then improve the accuracy that step S23 obtains the attribute information of user.
It should be noted that when step S22 determines that photo includes that the quantity of user is multiple, can control
Intelligent television processed is according to prior art recommending data.
According to embodiments of the present invention two, opening after intelligent television starts camera head simultaneously, to shooting dress
Put the photo of shooting and carry out Face datection, and when photo include unique user such as old man, child or other
During user, photo is carried out Face datection to obtain face Part of photos taken, and extract from face Part of photos taken
At least one facial characteristics point data, and then when user does not logs in personal account, by least one face
Characteristic point data is compared with the characteristic in default property data base, and using comparison result as with
The attribute information at family, and when user logs in personal account, by least one facial characteristics point data with
The characteristic preset in property data base is compared, and according in comparison result and personal account
People's information determines the attribute information of user, finally controls intelligent television according to attribute information recommending data；Separately
Outward, after recording the most default property data base of at least one facial characteristics point data, according to Learning Automata
Make the distribution of at least one facial characteristics point data to presetting multiple attributes of attribute information in property data base
In value.Thus realize when unique user uses TV, it is not necessary to user carries out account switching, the most adaptive
Answer ground according to active user's feature recommending data, flexibly and easily, drastically increase Consumer's Experience.
Embodiment three
With reference to Fig. 3, it is shown that the knot of the data recommendation device of a kind of intelligent television of the embodiment of the present invention three
Structure block diagram.
The data recommendation device of the intelligent television of the embodiment of the present invention, may include that
Start module 1, be used for opening intelligent television and start camera head simultaneously.
Wherein, after startup module 1 starts camera head, if user enters the photographic head of camera head
During identification range, the photo of camera head shooting user.
Face detection module 2, for the photo of camera head shooting is carried out Face datection, and works as photo
During including unique user, from least one facial characteristics point data of photograph acquisition.
Wherein, face detection module 2 can obtain the photograph of shooting from the photographic head bottom preview of camera head
Sheet, and after photo is carried out Face datection, determine that photo includes the quantity of user.Wherein, face is worked as
When dividing photo to include unique user such as old man, child or other user, face detection module 2 can be right
Photo obtains at least one facial characteristics point data after carrying out Face datection, such as face key feature is counted
According to, enter attribute information acquisition module 3.
Attribute information acquisition module 3, for the genus according at least one face feature point data acquisition user
Property information.
Attribute information acquisition module 3 can be come according at least one face feature point data acquisition by high in the clouds
The attribute information of user, enters control module 4.
Specifically, the attribute information of user can include one or more in sex, age or race,
Could be included for distinguishing other attribute information of user identity.
Control module 4, is used for controlling intelligent television according to attribute information recommending data.
Wherein, the data that intelligent television is recommended can include in system message, video data or poster data
One or more, it is also possible to include other according to attribute information recommend data.Due to control module 4
Intelligent television can be controlled and recommend to be suitable for the data of user according to attribute information, such as, when unique user be
Tong Shi, control module 4 can control intelligent television and recommend cartoon, and see that TV was more than 1 hour
Time, system prompt should be had a rest and be played；The most such as, when unique user is adolescence, control module 4
Intelligent television can be controlled and recommend film, TV play or variety show etc., and see that TV is little more than 2
Time or 3 little constantly, system prompt should be had a rest for a moment；The most such as, when unique user is old people,
Control module 4 can control intelligent television and recommend TV play or variety show etc., and seeing that TV exceedes
2 hours or 3 little constantly, system prompt should be had a rest for a moment.Thus user is without carrying out account switching,
Data that are interested or that need can be obtained easily, drastically increase Consumer's Experience.
According to embodiments of the present invention three, open after intelligent television starts camera head simultaneously starting module,
The photo that camera head is shot by face detection module carries out Face datection, and when photo includes unique user
Such as when old man, child or other user, from least one facial characteristics point data of photograph acquisition, and then
Attribute information acquisition module is according to the attribute information of at least one face feature point data acquisition user, finally
Control module controls intelligent television according to attribute information recommending data.Thus realize making electricity consumption at unique user
Apparent time, it is not necessary to user carries out account switching, automatically according to active user's feature recommending data, flexibly and easily,
Drastically increase Consumer's Experience.
Embodiment four
With reference to Fig. 4, it is shown that the data recommendation device of the another kind of intelligent television of the embodiment of the present invention four
Structured flowchart.The data recommendation device of this intelligent television, may include that
Start module 41, be used for opening intelligent television and start camera head simultaneously.
Wherein, after startup module 41 starts camera head, if user enters the photographic head of camera head
During identification range, the photo of camera head shooting user.
Face detection module 42, for the photo of camera head shooting is carried out Face datection, and works as photo
During including unique user, from least one facial characteristics point data of photograph acquisition；Including:
Face datection unit 421, for carrying out Face datection to obtain face Part of photos taken to photo.
Wherein, face detection module 42 can obtain the photograph of shooting from the photographic head bottom preview of camera head
Sheet, and after photo is carried out Face datection, determine that photo includes the quantity of user.Wherein, face is worked as
When dividing photo to include unique user such as old man, child or other user, enter Face datection unit 421.
Characteristic extraction unit 422, for extracting at least one face feature point from face Part of photos taken
Data.
Characteristic extraction unit 422 is relative to directly extracting at least one facial characteristics from the photo shot
Point data, can save substantial amounts of data analysis resource.Characteristic extraction unit 422 can be to photo
At least one facial characteristics point data, such as face key feature point data is obtained after carrying out Face datection,
Enter attribute information acquisition module 43.
Attribute information acquisition module 43, for the genus according at least one face feature point data acquisition user
Property information；Including:
First comparing unit 431, for when user does not logs in personal account, by special at least one face
Levy point data to compare with the characteristic in default property data base, and using comparison result as user
Attribute information.
Specifically, the attribute information (being properly termed as identity) of user can include sex, age or race
In one or more, it is also possible to include other attribute information for distinguishing user.Wherein, the first ratio
At least one facial characteristics point data can be sent to high in the clouds by unit 431, it is possible to will by high in the clouds
At least one facial characteristics point data is compared with the characteristic in default property data base.
It should be noted that preset property data base can be arranged on high in the clouds, preset property data base permissible
(include that user registers account according to Learning Automata system according to the personal information of user's typing in personal account
During family, the personal information of typing and user revise the personal information of typing in existing account) carry out oneself's instruction
Practice.Such as, if user's identity of active identification oneself in personal information is male 25 years old, that
After user logs in personal account, from camera head shooting this unique user photo extract to
A few facial characteristics point data is just associated with this identity, when the face feature point that this identity is corresponding
After data volume is sufficiently large, Learning Automata system has some total features it may determine that go out this identity
Data, hereafter, even if user is without logging into personal account, photograph this unique user photo at camera head
Time, according to these total characteristics, attribute information acquisition module 43 just can determine that active user is corresponding
Identity be male, about 25 years old.It addition, when this identity has the newest facial characteristics point data to go out
Now, also with this identity, these new facial characteristics point data can be carried out auto-associating, this closes
Connection process can be revised by Learning Automata system, to improve attribute information acquisition module the most adaptively
The accuracy of 43 attribute informations obtaining user.
Second comparing unit 432, for when user logs in personal account, by least one facial characteristics
Point data is compared with the characteristic in default property data base, and acknowledges a debt with individual according to comparison result
Personal information in family determines the attribute information of user.
Wherein, at least one facial characteristics point data can be sent to high in the clouds by the second comparing unit 432,
And by high in the clouds, at least one facial characteristics point data is carried out with the characteristic in default property data base
Comparison, comparison result can be attribute information or the attribute letter of incomplete user the most accurately of user accurately
Breath, and then according to the personal information in personal account, comparison result is modified, i.e. can determine that accurately
The attribute information of user.Such as, comparison result be identity corresponding to active user be male, about 25 years old,
And the personal information in individual subscriber account is male 25 years old, then the second comparing unit 432 determines user's
Attribute information is male 25 years old.
Control module 44, is used for controlling intelligent television according to attribute information recommending data.
Wherein, the data that intelligent television is recommended can include in system message, video data or poster data
One or more, it is also possible to include other according to attribute information recommend data.Due to control module 44
Intelligent television can be controlled and recommend to be suitable for the data of user according to attribute information, such as, when unique user be
Tong Shi, control module 44 can control intelligent television and recommend cartoon, and see that TV was more than 1 hour
Time, system prompt should be had a rest and be played；The most such as, when unique user is adolescence, control module 44
Intelligent television can be controlled and recommend film, TV play or variety show etc., and see that TV is little more than 2
Time or 3 little constantly, system prompt should be had a rest for a moment；The most such as, when unique user is old people,
Control module 44 can control intelligent television and recommend TV play or variety show etc., and seeing that TV exceedes
2 hours or 3 little constantly, system prompt should be had a rest for a moment.Thus user is without carrying out account switching,
Data that are interested or that need can be obtained easily, drastically increase Consumer's Experience.
Second logging modle 45, for counting according at least one facial characteristics at attribute information acquisition module
After attribute information according to acquisition user, record at least one facial characteristics point data to presetting characteristic
Storehouse.
Wherein it is possible to it is at the first comparing unit 431 or the second comparing unit 432, at least one is facial special
When levying point data transmission to high in the clouds, enter the second logging modle 45.
Distribution module 46, for distributing at least one facial characteristics point data extremely according to Learning Automata system
In default property data base in multiple property values of attribute information.
Wherein, multiple property values can be above-mentioned sex, age, race etc..Such as distribution module 46
At least one facial characteristics point data can will embody the face feature point of sex according to Learning Automata system
Data, the facial characteristics point data at embodiment age, the facial characteristics point data decile of embodiment race are not carried out
Statistics, and by statistical data distribution to corresponding property value.Thus improve the number presetting property data base
According to amount, and then improve the accuracy that attribute information acquisition module 43 obtains the attribute information of user.
It should be noted that when face detection module 42 determines that photo includes that the quantity of user is multiple,
Intelligent television can be controlled according to prior art recommending data.
According to embodiments of the present invention four, open after intelligent television starts camera head simultaneously starting module,
The photo that camera head is shot by face detection module carries out Face datection, and when photo includes unique user
Such as when old man, child or other user, Face datection unit carries out Face datection to obtain people to photo
Face part photo, characteristic extraction unit also extracts at least one face feature point from face Part of photos taken
Data, and then when user does not logs in personal account, the first comparing unit is by least one face feature point
Data are compared with the characteristic in default property data base, and using comparison result as the genus of user
Property information, and when user logs in personal account, the second comparing unit is by least one face feature point
Data are compared with the characteristic in default property data base, and according to comparison result and personal account
In personal information determine the attribute information of user, last control module controls intelligent television and believes according to attribute
Breath recommending data；It addition, record at least one facial characteristics point data to presetting spy in the second logging modle
After levying data base, at least one facial characteristics point data is distributed extremely by distribution module according to Learning Automata system
In default property data base in multiple property values of attribute information.Thus realize using TV at unique user
Time, it is not necessary to user carries out account switching, and automatic adaptive ground is according to active user's feature recommending data, spirit
Live convenient, drastically increase Consumer's Experience.
Device embodiment described above is only schematically, wherein said illustrates as separating component
Unit can be or may not be physically separate, the parts shown as unit can be or
Person may not be physical location, i.e. may be located at a place, or can also be distributed to multiple network
On unit.Some or all of module therein can be selected according to the actual needs to realize the present embodiment
The purpose of scheme.Those of ordinary skill in the art are not in the case of paying performing creative labour, the most permissible
Understand and implement.
Through the above description of the embodiments, those skilled in the art is it can be understood that arrive each reality
The mode of executing can add the mode of required general hardware platform by software and realize, naturally it is also possible to by firmly
Part.Based on such understanding, the portion that prior art is contributed by technique scheme the most in other words
Dividing and can embody with the form of software product, this computer software product can be stored in computer can
Read in storage medium, such as ROM/RAM, magnetic disc, CD etc., including some instructions with so that one
Computer equipment (can be personal computer, server, or the network equipment etc.) performs each to be implemented
The method described in some part of example or embodiment.
Last it is noted that above example is only in order to illustrate technical scheme, rather than to it
Limit；Although the present invention being described in detail with reference to previous embodiment, the ordinary skill of this area
Personnel it is understood that the technical scheme described in foregoing embodiments still can be modified by it, or
Person carries out equivalent to wherein portion of techniques feature；And these amendments or replacement, do not make corresponding skill
The essence of art scheme departs from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. the data recommendation method of an intelligent television, it is characterised in that comprise the following steps:
Open intelligent television and start camera head simultaneously；
The photo of camera head shooting is carried out Face datection, and when described photo includes unique user,
From at least one facial characteristics point data of described photograph acquisition；
Attribute information according to user described at least one face feature point data acquisition described；
Control described intelligent television according to described attribute information recommending data.
Method the most according to claim 1, it is characterised in that described from described photograph acquisition at least
One facial characteristics point data, including:
Described photo is carried out Face datection to obtain face Part of photos taken；
At least one facial characteristics point data described is extracted from described face Part of photos taken.
Method the most according to claim 1, it is characterised in that when described user does not logs in individual acknowledging a debt
During family, the attribute information of user described at least one face feature point data acquisition described in described basis, bag
Include:
At least one facial characteristics point data described is compared with the characteristic in default property data base
Right, and using comparison result as the attribute information of described user.
Method the most according to claim 1, it is characterised in that when described user logs in personal account
Time, the attribute information of user described at least one face feature point data acquisition described in described basis, including:
At least one facial characteristics point data described is compared with the characteristic in default property data base
Right, and the attribute information of described user is determined according to the personal information in comparison result and described personal account.
5. according to the method described in claim 3 or 4, it is characterised in that described in described basis at least
After the attribute information of user described in one face feature point data acquisition, also include:
Record at least one facial characteristics point data described is to described default property data base；
According to Learning Automata system by least one facial characteristics point data described distribution to described default feature
In data base in multiple property values of attribute information.
6. the data recommendation device of an intelligent television, it is characterised in that including:
Start module, be used for opening intelligent television and start camera head simultaneously；
Face detection module, for carrying out Face datection to the photo of camera head shooting, and when described photograph
When sheet includes unique user, from least one facial characteristics point data of described photograph acquisition；
Attribute information acquisition module, for using according to described at least one face feature point data acquisition described
The attribute information at family；
Control module, is used for controlling described intelligent television according to described attribute information recommending data.
Device the most according to claim 6, it is characterised in that described face detection module includes:
Face datection unit, for carrying out Face datection to obtain face Part of photos taken to described photo；
Characteristic extraction unit, special for extracting at least one face described from described face Part of photos taken
Levy point data.
Device the most according to claim 6, it is characterised in that described attribute information acquisition module bag
Include:
First comparing unit, for when described user does not logs in personal account, by least one face described
Portion's characteristic point data is compared with the characteristic in default property data base, and using comparison result as
The attribute information of described user.
Device the most according to claim 6, it is characterised in that described attribute information acquisition module bag
Include:
Second comparing unit, for when described user logs in personal account, by least one face described
Characteristic point data is compared with the characteristic in default property data base, and according to comparison result and institute
State the personal information in personal account and determine the attribute information of described user.
Device the most according to claim 8 or claim 9, it is characterised in that also include:
Second logging modle, for special according at least one face described at described attribute information acquisition module
After levying the attribute information that point data obtains described user, record at least one facial characteristics point data described
To described default property data base；
Distribution module, for distributing at least one facial characteristics point data described according to Learning Automata system
To described default property data base in multiple property values of attribute information.
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| CN201510869912.7A CN105979331A (en) | 2015-12-01 | 2015-12-01 | Smart television data recommend method and device |
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| CN201510869912.7A CN105979331A (en) | 2015-12-01 | 2015-12-01 | Smart television data recommend method and device |
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| CN105979331A true CN105979331A (en) | 2016-09-28 |
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| CN201510869912.7A Pending CN105979331A (en) | 2015-12-01 | 2015-12-01 | Smart television data recommend method and device |
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