CN111417017A - IPTV program recommendation method and system based on human body identification - Google Patents
IPTV program recommendation method and system based on human body identification Download PDFInfo
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- CN111417017A CN111417017A CN202010348480.6A CN202010348480A CN111417017A CN 111417017 A CN111417017 A CN 111417017A CN 202010348480 A CN202010348480 A CN 202010348480A CN 111417017 A CN111417017 A CN 111417017A
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- human body
- viewer
- program recommendation
- recommendation method
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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
- H04N21/43—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
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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
- H04N21/45—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
- H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
-
- 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
Abstract
The invention relates to an IPTV program recommendation method and system based on human body identification, comprising the following steps: s1, collecting human body image information of a viewer, wherein the human body image comprises human faces and human body appearance characteristics; s2, comparing the human body image information with pre-stored user account information; s3, determining the identity of the viewer; and S4, recommending program lists matched with the identity of the viewer. A camera on the set top box can automatically identify the human body image in front, the human body image comprises human faces and the appearance characteristics of a human body, different IPTV programs are recommended, and convenience is provided for people to watch TV. The scheme of the invention can bring great convenience to watching TV without selecting favorite programs. The set top box can recommend the television programs which are frequently watched by the user according to the face recognition, so that the accuracy of recommending the IPTV programs is enhanced, and convenience is provided for the life of the user.
Description
Technical Field
The invention relates to the field of multimedia playing, in particular to an IPTV program recommendation method and system based on human body identification.
Background
The economy of China is still in a high-speed increasing state, the demands of residents on spiritual culture are increasingly improved, the consumption capacity is continuously improved, and the number of IPTV and Internet television users and value-added services still have a large growing space.
As the user consumption mode tends to be customized, personalized and socialized more, the audio-visual experience anytime and anywhere and the era of audience production content come, the audio-visual service is mainly transferred from media master to users (consumers).
IPTV will be developed rapidly in the future, so that IPTV program recommendation methods and apparatuses based on face recognition will greatly help the development of IPTV. The current IPTV is still in the development stage, and is not very perfect in program recommendation.
Disclosure of Invention
The invention aims to provide an IPTV program recommendation method and system based on human body identification.
The technical scheme adopted by the invention for solving the technical problems is as follows: an IPTV program recommendation method based on human body identification is constructed, which comprises the following steps:
s1, collecting human body image information of a viewer, wherein the human body image comprises human faces and human body appearance characteristics;
s2, comparing the human body image information with pre-stored user account information;
s3, determining the identity of the viewer;
and S4, recommending the program list matched with the identity of the viewer.
Preferably, the step S1 further includes:
acquiring limb information of the viewer from the acquired human body image;
the step S3 further includes:
comparing the limb information of the viewer with a prestored limb information base, and judging the mental state of the current user;
the step S4 further includes:
recommending program lists matching the mental state of the viewer from the program lists matching the identity of the viewer.
Preferably, the limb information includes an expression and an action of the viewer.
Preferably, the actions include sitting posture, walking posture, speed of action.
Preferably, the limb information base comprises an expression base and an action base.
Preferably, the limb information base is pre-stored for the viewer corresponding to pre-stored user account information; or the limb information base is a preset limb information model according to big data.
Preferably, the mental state comprises at least one of mood, exertion.
Preferably, the program list is preset with labels corresponding to different mental states so as to be recommended.
Preferably, program listings matching a plurality of said viewers are recommended simultaneously and displayed separately.
An IPTV program recommendation system based on human body identification comprises a memory, a processor and a program recommendation program which is stored on the memory and can be operated on the processor, wherein the program recommendation program is operated to realize the IPTV program recommendation method based on human body identification.
The IPTV program recommendation method and the IPTV program recommendation system based on human body identification have the following beneficial effects: a camera on the set top box can automatically identify the human body image in front, the human body image comprises human faces and the appearance characteristics of a human body, different IPTV programs are recommended, and convenience is provided for people to watch TV. The scheme of the invention can bring great convenience to watching TV without selecting favorite programs. The set top box can recommend the television programs which are frequently watched by the user according to the face recognition, so that the accuracy of recommending the IPTV programs is enhanced, and convenience is provided for the life of the user.
Drawings
The invention will be further described with reference to the accompanying drawings and examples, in which:
fig. 1 is a flowchart illustrating an IPTV program recommendation method based on human body identification according to an embodiment of the present invention.
Detailed Description
For a more clear understanding of the technical features, objects and effects of the present invention, embodiments of the present invention will now be described in detail with reference to the accompanying drawings.
As shown in fig. 1, the IPTV program recommending method based on human body identification in a preferred embodiment of the present invention includes the following steps:
s1, collecting human body image information of a viewer, wherein the human body image comprises human faces and human body appearance characteristics;
s2, comparing the human body image information with pre-stored user account information;
s3, determining the identity of the viewer;
and S4, recommending the program list matched with the identity of the viewer.
Further, in some embodiments, the step S1 further includes:
acquiring limb information of the viewer from the acquired human body image;
the step S3 further includes:
comparing the limb information of the viewer with a prestored limb information base, and judging the mental state of the current user;
the step S4 further includes:
recommending program lists matching the mental state of the viewer from the program lists matching the identity of the viewer.
A camera on the set top box can automatically identify the human body image in front, the human body image comprises human faces and the appearance characteristics of a human body, different IPTV programs are recommended, and convenience is provided for people to watch TV. The scheme of the invention can bring great convenience to watching TV without selecting favorite programs. The set top box can recommend the television programs which are frequently watched by the user according to the face recognition, so that the accuracy of recommending the IPTV programs is enhanced, and convenience is provided for the life of the user.
The age, sex, etc. of the viewer can be judged according to the identity of the viewer, and the program list matched with the corresponding recommendation is recommended.
The program list is preset with labels corresponding to different mental states, such as comedy, life drama, love drama, art, action, war, ancient film, police bandit and so on, so as to be recommended. The mental states comprise moods and tiredness, and a proper program can be selected and pushed according to expression forms of the mental states such as expressions and actions of viewers, so that the mental states can be adjusted.
When the mental state of the viewer is not good and is more melancholy, inattention and tired, comedy, literary and art films, life dramas, love dramas and the like can be recommended to make the mood of the viewer better, or some sports programs are added to make the viewer more relaxed and exercise to make the mood of the viewer better, thereby playing a role in helping the viewer improve the mental state.
When the mental state of the viewer is better, programs suitable for the public to watch, such as action films, war films and the like, can be added in a proper amount.
In some embodiments, the limb information includes the expression, action of the viewer. The expression of the viewer can be in various states such as happy state, sick, melancholy and common state, and can be intelligently acquired through the human body image of the viewer. The program list can be recommended according to the judged expression of the viewer, and the function of helping the viewer to improve the mental state is achieved.
The actions of the viewer comprise sitting posture, walking posture and action speed, the sitting posture comprises back lying, side lying, sitting posture, forward leaning posture and the like, and the personality and the mental state of the viewer can be reflected; walking posture, etc. may reflect a person's personality and mental state; the speed of the motion may also reflect a person's mental state. The program list can be recommended according to the judged action of the viewer, and the function of helping the viewer to improve the mental state is achieved.
Further, the body information base comprises an expression base and an action base, and can be compared with the expression base and the action base after the image information of the viewer is acquired, and a recommended program list is given by combining expression and action comprehensive judgment.
The body information base is pre-stored for the viewer corresponding to the pre-stored user account information, or the body information base can also be a body information model preset according to big data.
Further, when a plurality of collected viewers are available, the program lists matched with the plurality of viewers are recommended at the same time and displayed separately, so that the viewers can select the programs.
The embodiment of the invention also provides an IPTV program recommendation system based on human body identification, which comprises a memory, a processor and a program recommendation program which is stored on the memory and can be operated on the processor. The program recommendation program runs to realize an IPTV program recommendation method based on human body identification.
It is to be understood that the above-described respective technical features may be used in any combination without limitation.
The above description is only an embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes performed by the present specification and drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An IPTV program recommendation method based on human body identification is characterized by comprising the following steps:
s1, collecting human body image information of a viewer, wherein the human body image comprises human faces and human body appearance characteristics;
s2, comparing the human body image information with pre-stored user account information;
s3, determining the identity of the viewer;
and S4, recommending the program list matched with the identity of the viewer.
2. The IPTV program recommendation method based on human body identification as claimed in claim 1, wherein;
the step S1 further includes:
acquiring limb information of the viewer from the acquired human body image;
the step S3 further includes:
comparing the limb information of the viewer with a prestored limb information base, and judging the mental state of the current user;
the step S4 further includes:
recommending program lists matching the mental state of the viewer from the program lists matching the identity of the viewer.
3. The IPTV program recommendation method based on human body identification of claim 2, wherein the physical information includes the expression and action of the viewer.
4. The IPTV program recommendation method based on human body identification, according to claim 3, wherein said actions comprise a sitting posture, a walking posture, and a speed of the actions.
5. The IPTV program recommendation method based on human body identification as claimed in claim 3, wherein said limb information base comprises an expression base and an action base.
6. The IPTV program recommendation method based on human body identification as claimed in claim 2, wherein the limb information base is pre-stored for the viewer corresponding to pre-stored user account information; or the limb information base is a preset limb information model according to big data.
7. The IPTV program recommendation method based on human body identification of claim 2, wherein the mental state comprises at least one of mood and fatigue.
8. The IPTV program recommendation method based on human body identification as claimed in any one of claims 2 to 7, wherein the program list is pre-set with labels corresponding to different mental states so as to be recommended.
9. The IPTV program recommendation method based on human body identification as claimed in any one of claims 2 to 7, wherein program lists matched with a plurality of said viewers are recommended simultaneously and displayed separately.
10. An IPTV program recommendation system based on human body identification, comprising a memory, a processor, and a program recommendation program stored in the memory and operable on the processor, the program recommendation program being operable to implement the IPTV program recommendation method based on human body identification according to any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010348480.6A CN111417017A (en) | 2020-04-28 | 2020-04-28 | IPTV program recommendation method and system based on human body identification |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010348480.6A CN111417017A (en) | 2020-04-28 | 2020-04-28 | IPTV program recommendation method and system based on human body identification |
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| CN111417017A true CN111417017A (en) | 2020-07-14 |
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| CN202010348480.6A Pending CN111417017A (en) | 2020-04-28 | 2020-04-28 | IPTV program recommendation method and system based on human body identification |
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| EP1340375A1 (en) * | 2000-11-22 | 2003-09-03 | Koninklijke Philips Electronics N.V. | Method and apparatus for generating recommendations based on current mood of user |
| CN102541257A (en) * | 2010-11-12 | 2012-07-04 | 微软公司 | Audience-based presentation and customization of content |
| CN103098079A (en) * | 2011-04-11 | 2013-05-08 | 英特尔公司 | Personalized program selection system and method |
| CN105787050A (en) * | 2016-02-26 | 2016-07-20 | 联想(北京)有限公司 | Information processing method and device and electronic equipment |
| CN108920577A (en) * | 2018-06-25 | 2018-11-30 | 西北工业大学 | Television set intelligently recommended method |
| CN110175245A (en) * | 2019-06-05 | 2019-08-27 | 腾讯科技（深圳）有限公司 | Multimedia recommendation method, device, equipment and storage medium |
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2020
- 2020-04-28 CN CN202010348480.6A patent/CN111417017A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP1340375A1 (en) * | 2000-11-22 | 2003-09-03 | Koninklijke Philips Electronics N.V. | Method and apparatus for generating recommendations based on current mood of user |
| CN102541257A (en) * | 2010-11-12 | 2012-07-04 | 微软公司 | Audience-based presentation and customization of content |
| CN103098079A (en) * | 2011-04-11 | 2013-05-08 | 英特尔公司 | Personalized program selection system and method |
| CN105787050A (en) * | 2016-02-26 | 2016-07-20 | 联想(北京)有限公司 | Information processing method and device and electronic equipment |
| CN108920577A (en) * | 2018-06-25 | 2018-11-30 | 西北工业大学 | Television set intelligently recommended method |
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Application publication date: 20200714 |
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