CN107888985A - Intelligent television commending system and method based on multi-user - Google Patents
Intelligent television commending system and method based on multi-user Download PDFInfo
- Publication number
- CN107888985A CN107888985A CN201711214905.9A CN201711214905A CN107888985A CN 107888985 A CN107888985 A CN 107888985A CN 201711214905 A CN201711214905 A CN 201711214905A CN 107888985 A CN107888985 A CN 107888985A
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- desktop client
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- intelligent television
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Classifications
-
- 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
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
-
- 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
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4661—Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home
-
- 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
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4751—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for defining user accounts, e.g. accounts for children
-
- 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
- H04N21/47—End-user applications
- H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
- H04N21/4753—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for user identification, e.g. by entering a PIN or password
-
- 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
- H04N21/47—End-user applications
- H04N21/485—End-user interface for client configuration
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/178—Human faces, e.g. facial parts, sketches or expressions estimating age from face image; using age information for improving recognition
Abstract
The present invention relates to intelligent television field, it discloses a kind of intelligent television commending system and method based on multi-user, based on face recognition technology, identifies corresponding domestic consumer, different services is provided for different user.In the present invention, current user identities information is identified by face recognition technology, according to data set corresponding to the historical operation of user record and parameter setting custom generation, when the user watches TV, automatically call and data and display interface are set corresponding to the user identity, realize that interface simplifies and set.
Description
Technical field
The present invention relates to intelligent television field, more particularly to a kind of intelligent television commending system and side based on multi-user
Method.
Background technology
In today that television technologies are increasingly flourishing, the design of television set is towards more fashion, more intelligentized direction
Development.The major function of television set is viewing movie and video programs, and internet television is one of main channel for watching video frequency program.
But with the arrival in intelligent epoch, while intelligence offers convenience to masses, also increase the participation use cost of user, TV
Interface is excessively complicated, and TV programme species is excessive, and the Homes Using TV for having resulted in TV constantly declines.
The content of the invention
The technical problems to be solved by the invention are：It is proposed a kind of intelligent television commending system based on multi-user and side
Method, based on face recognition technology, corresponding domestic consumer is identified, different services is provided for different user.
The present invention solves the technical scheme that above-mentioned technical problem uses：
Intelligent television commending system based on multi-user, including：
User identification module multi, for identifying the identity of domestic consumer member, the subscriber identity information of identification is sent
To TV desktop client；
User's history behavioral module, for recording the viewing record of user and the configuration information of TV, and send to TV
Desktop client end；
TV desktop client, for collecting the subscriber identity information and watching record of user and TV setting letter of identification
Breath, and it is uploaded to data transmit-receive high in the clouds；
Data transmit-receive high in the clouds, the data for receiving the upload of TV desktop client are sent to behavioural analysis/information filtering
Module；
Behavioural analysis/content filtering module, for by watching record of user, user's TV configuration information, Yong Hushen
Part information analysis and the filtering of invalid information, generate the data set of user interest preference；
Intelligent recommendation system, it is same as combining data set, sets what is matched with its subscriber identity information for active user
Launcher interfaces, corresponding TV configuration information and programme content.
As further optimization, the user identification module multi includes face recognition module and remote controller signal catches mould
Block；The face recognition module carries out recognition of face to currently viewing user, if active user only has a people, is known by face
Other technology judges user identity, then sends subscriber identity information to TV desktop client；If active user be two people or
More than, then by remote controller signal capture module remote position controlled device signal, determine that remote control actually uses user, know with reference to face
The identity information that other technology actually uses the remote control user is sent to TV desktop client.
As further optimization, the identity of the domestic consumer member is divided into three classes：Children, young man, the elderly.
In addition, being based on said system, present invention also offers a kind of intelligent television based on multi-user to recommend method, and it is wrapped
Include following steps：
A. the identity of the domestic consumer member of identification viewing TV, the subscriber identity information of identification is sent to TV desktop
Client；
B. the viewing record of user and the configuration information of TV are recorded, and is sent to TV desktop client；
C. TV desktop client collects the subscriber identity information and watching record of user and TV configuration information of identification, and
It is uploaded to data transmit-receive high in the clouds；
D. data transmit-receive high in the clouds receives the data that TV desktop client uploads and sent to behavioural analysis/information filtering mould
Block；
E. behavioural analysis/content filtering module is by believing watching record of user, user's TV configuration information, user identity
Breath analysis and the filtering of invalid information, generate the data set of user interest preference；
F. it is that active user is set and launcher interfaces that its subscriber identity information matches, corresponding to combine data set
TV configuration information and programme content.
Optimize as further, in step a, the identity of the domestic consumer member is divided into three classes：It is children, young man, old
Year people.
As further optimization, step a is specifically included：Face knowledge is carried out to currently viewing user by face recognition module
, if active user only has a people, user identity is not judged by face recognition technology, then by subscriber identity information send to
TV desktop client；If active user is two people or more, by remote controller signal capture module remote position controlled device signal,
Determine that remote control actually uses user, the identity information that the remote control is actually used to user with reference to face recognition technology is sent
To TV desktop client.
The beneficial effects of the invention are as follows：
By the identification of the identity information to active user, the interface of the corresponding user of intelligent television system display, use is transferred
The setting and show the movie and video programs that user likes that family is liked, set so as to be advantageous to simplifying interface, facilitate user.
Brief description of the drawings
Fig. 1 is the intelligent television commending system structured flowchart based on multi-user in the present invention；
Fig. 2 is the children launcher interfaces in the embodiment of the present invention；
Fig. 3 is the launcher interfaces of the elderly in the embodiment of the present invention；
Fig. 4 is the launcher- video display interface of the young man in the embodiment of the present invention；
Fig. 5 is the launcher- television interfaces of the young man in the embodiment of the present invention.
Embodiment
The present invention is directed to propose a kind of intelligent television commending system and method based on multi-user, based on recognition of face skill
Art, corresponding domestic consumer is identified, different services is provided for different user.
As shown in figure 1, the intelligent television commending system based on multi-user in the present invention includes：
User identification module multi, for identifying the identity of domestic consumer member, the subscriber identity information of identification is sent
To TV desktop client；
User's history behavioral module, for recording the viewing record of user and the configuration information of TV, and send to TV
Desktop client end；
TV desktop client, for collecting the subscriber identity information and watching record of user and TV setting letter of identification
Breath, and it is uploaded to data transmit-receive high in the clouds；
Data transmit-receive high in the clouds, the data for receiving the upload of TV desktop client are sent to behavioural analysis/information filtering
Module；
Behavioural analysis/content filtering module, for by watching record of user, user's TV configuration information, Yong Hushen
Part information analysis and the filtering of invalid information, generate the data set of user interest preference；
Intelligent recommendation system, it is same as combining data set, sets what is matched with its subscriber identity information for active user
Launcher interfaces, corresponding TV configuration information and programme content.
In specific implementation, the identity of domestic consumer member：Including three classes：Children, young man (father and mother), old age
People (grandfather and grandmother), sees tv scene, can be children, young man, the elderly it is single be also likely to be three classes various combination；
This module includes recognition of face, remote controller signal catches two parts；Judge whether that starting remote control believes by face recognition technology
Capture module is ceased, when seeing TV more than 1 people, starts remote control information capturing module, remote position controlled device signal, determines remote control reality
Border uses user, when 1 people sees TV, only need to judge user identity by face recognition technology, judges to believe after user identity
Breath is sent to TV desktop client；The data set of behavioural analysis/content filtering module generation is increment type, can constantly be learned
Practise, expand.
Embodiment：
According to said system generation launcher interfaces as shown in Fig. 2 children watch TV be to see juvenile's program,
Launcher pages only shows juvenile's program, launcher pages of displaying：The digital channel of viewing is recommended, three newest cartoons push away
Recommend position, three movie and video programs for not watched recommend positions, personalized movie and video programs special recommendation, more；Newest cartoon and not
The video display watched recommend position specifically to be determined according to the concrete condition of particular user；Click on and more enter juvenile's classification.
The launcher interfaces of the elderly generated according to said system are as shown in figure 3, the elderly sees that TV is more
Movie and video programs chase after play, launcher pages of displaying digital channel and movie and video programs, launcher pages of displaying：Digital channel-chase after is acute,
Newest program recommendation-digital channel, newest movie and video programs-internet, two movie and video programs do not finished watching recommend positions, two
Property program recommends position, property video display recommend position special topic, more one by one；Movie and video programs are not finished watching to recommend to push away with personal program
Position is recommended specifically to be determined according to the concrete condition of particular user；Click on and more enter video display classification.
According to said system generation young man launcher interfaces as shown in Figures 4 and 5, this method only show video display and
The module such as television interfaces, other media, game puts aside that launcher pages of video display are shown：4 newest video display recommend positions, 3
Video display are not finished watching recommends position, the 1 personalized thematic position, more of recommending；Click on and more enter video display classification；Launcher pages of TV
Displaying：1 chases after that acute program is recommended, 3 newest programs are recommended, 4 personalized programs are recommended, be more；Click on and more enter numeral
Channel.
Claims (6)
1. the intelligent television commending system based on multi-user, it is characterised in that including：
User identification module multi, for identifying the identity of domestic consumer member, the subscriber identity information of identification is sent to electricity
Depending on desktop client end；
User's history behavioral module, for recording the viewing record of user and the configuration information of TV, and send to TV desktop
Client；
TV desktop client, for collecting the subscriber identity information and watching record of user and TV configuration information of identification, and
It is uploaded to data transmit-receive high in the clouds；
Data transmit-receive high in the clouds, the data for receiving the upload of TV desktop client are sent to behavioural analysis/content filtering module；
Behavioural analysis/content filtering module, for by believing watching record of user, user's TV configuration information, user identity
Breath analysis and the filtering of invalid information, generate the data set of user interest preference；
Intelligent recommendation system, it is same as combining data set, sets what is matched with its subscriber identity information for active user
Launcher interfaces, corresponding TV configuration information and programme content.
2. the intelligent television commending system based on multi-user as claimed in claim 1, it is characterised in that the Multi-user recognition
Module includes face recognition module and remote controller signal capture module；The face recognition module enters pedestrian to currently viewing user
Face identifies, if active user only has a people, judges user identity by face recognition technology, then sends out subscriber identity information
Deliver to TV desktop client；If active user is two people or more, pass through remote controller signal capture module remote position controlled device
Signal, determine that remote control actually uses user, the identity that the remote control is actually used to user with reference to face recognition technology is believed
Breath is sent to TV desktop client.
3. the intelligent television commending system based on multi-user as claimed in claim 1 or 2, it is characterised in that described home-use
The identity of family member is divided into three classes：Children, young man, the elderly.
4. the intelligent television based on multi-user recommends method, it is characterised in that comprises the following steps：
A. the identity of the domestic consumer member of identification viewing TV, the subscriber identity information of identification is sent to TV desktop client
End；
B. the viewing record of user and the configuration information of TV are recorded, and is sent to TV desktop client；
C. TV desktop client collects the subscriber identity information and watching record of user and TV configuration information of identification, and uploads
To data transmit-receive high in the clouds；
D. data transmit-receive high in the clouds receives the data that TV desktop client uploads and sent to behavioural analysis/content filtering module；
E. behavioural analysis/content filtering module passes through to watching record of user, user's TV configuration information, subscriber identity information point
Analysis and the filtering of invalid information, generate the data set of user interest preference；
F. it is the launcher interfaces, corresponding TV that active user is set with its subscriber identity information matches to combine data set
Configuration information and programme content.
5. the intelligent television based on multi-user recommends method as claimed in claim 4, it is characterised in that in step a, the family
The identity of front yard user member is divided into three classes：Children, young man, the elderly.
6. the intelligent television based on multi-user as described in claim 4 or 5 recommends method, it is characterised in that step a is specifically wrapped
Include：Recognition of face is carried out to currently viewing user by face recognition module, if active user only has a people, known by face
Other technology judges user identity, then sends subscriber identity information to TV desktop client；If active user be two people or
More than, then by remote controller signal capture module remote position controlled device signal, determine that remote control actually uses user, know with reference to face
The identity information that other technology actually uses the remote control user is sent to TV desktop client.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711214905.9A CN107888985A (en) | 2017-11-28 | 2017-11-28 | Intelligent television commending system and method based on multi-user |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711214905.9A CN107888985A (en) | 2017-11-28 | 2017-11-28 | Intelligent television commending system and method based on multi-user |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107888985A true CN107888985A (en) | 2018-04-06 |
Family
ID=61775729
Family Applications (1)
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|---|---|---|---|
| CN201711214905.9A Pending CN107888985A (en) | 2017-11-28 | 2017-11-28 | Intelligent television commending system and method based on multi-user |
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Cited By (11)
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| CN109325339A (en) * | 2018-08-28 | 2019-02-12 | 北京点七二创意互动传媒文化有限公司 | Exchange method and terminal for terminal |
| CN109462765A (en) * | 2018-10-24 | 2019-03-12 | 聚好看科技股份有限公司 | A kind of recommendation page downloading and display methods and device |
| CN109819324A (en) * | 2018-12-29 | 2019-05-28 | 北京奇艺世纪科技有限公司 | A kind of information recommendation method and device and computer readable storage medium |
| CN109976169A (en) * | 2019-03-08 | 2019-07-05 | 佛山市云米电器科技有限公司 | Internet television intelligent control method and control system based on self study technology |
| CN110197171A (en) * | 2019-06-06 | 2019-09-03 | 深圳市汇顶科技股份有限公司 | Exchange method, device and the electronic equipment of action message based on user |
| CN110673737A (en) * | 2019-09-30 | 2020-01-10 | 青岛海尔科技有限公司 | Display content adjusting method and device based on smart home operating system |
| CN111147933A (en) * | 2019-12-17 | 2020-05-12 | 广州奥睿智能科技有限公司 | Multi-mode large-screen interaction system based on face recognition SDK |
| CN111417024A (en) * | 2020-03-30 | 2020-07-14 | 深圳创维－Rgb电子有限公司 | Scene recognition-based program recommendation method, system and storage medium |
| US11039196B2 (en) | 2018-09-27 | 2021-06-15 | Hisense Visual Technology Co., Ltd. | Method and device for displaying a screen shot |
| US11102441B2 (en) | 2017-12-20 | 2021-08-24 | Hisense Visual Technology Co., Ltd. | Smart television and method for displaying graphical user interface of television screen shot |
| US11601719B2 (en) | 2017-12-20 | 2023-03-07 | Juhaokan Technology Co., Ltd. | Method for processing television screenshot, smart television, and storage medium |
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Application publication date: 20180406 |