CN103024552A - Television channel background recognition method - Google Patents
Television channel background recognition method Download PDFInfo
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- CN103024552A CN103024552A CN2012105220757A CN201210522075A CN103024552A CN 103024552 A CN103024552 A CN 103024552A CN 2012105220757 A CN2012105220757 A CN 2012105220757A CN 201210522075 A CN201210522075 A CN 201210522075A CN 103024552 A CN103024552 A CN 103024552A
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- 238000004364 calculation method Methods 0.000 claims abstract description 10
- 230000003542 behavioural effect Effects 0.000 claims description 16
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000003672 processing method Methods 0.000 claims description 6
- 230000011218 segmentation Effects 0.000 claims description 6
- 238000012360 testing method Methods 0.000 claims description 4
- 238000003703 image analysis method Methods 0.000 claims description 3
- 238000010191 image analysis Methods 0.000 abstract 1
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Abstract
The invention discloses a television channel background recognition method which includes that a television station caption is intercepted according to time when a user switches channels, an initial television station caption template is established, television station caption templates in a television station caption base are updated dynamically, image analysis is conducted on television station captions transmitted by a client, simultaneously television station caption recognition is conducted, the television station captions are compared with the television station caption templates, and the television station captions which succeed in comparison are fed back to a data base and used as accordance of a television watching behavior habit of a user. Due to the fact that the television station captions of switched channels are intercepted when the user switches the channels and are compared with the dynamically updated television station caption templates in the television station caption base, calculation time is greatly saved, effects of a server on overall performance are avoided, television channel recognition is quickened, matching rate of a single television station caption is high, television channel recognition accuracy is improved, and the television station captions are suitable for being used as the accordance of the television watching behavior habit of the user.
Description
Technical field
The present invention relates in Web TV or the Digital Television to be used for the method field of the television channel that the identification user watches, in particular high, the fast television channel backstage recognition methods of recognition speed of a kind of recognition accuracy.
Background technology
Along with Web TV and development, how effectively collecting also, the accurate analysis user watches the behavioural habits of TV programme, so that operational department carries out the dynamically function such as issue of some customized advertising propelling movements, prompting message and news targetedly, and evaluate and test the work such as the favor program of Web TV.
But, the time of existing television channel recognition methods cost is more, and affected the overall performance of server, and the matching rate of single TV station station symbol neither be very high, for the accuracy of television channel identification also relative reduce, be difficult to watch as the collection analysis user foundation of TV programme behavioural habits.
Therefore, prior art still haves much room for improvement and develops.
Summary of the invention
For solving the problems of the technologies described above, the invention provides the backstage recognition methods of a kind of television channel, recognition accuracy is high, recognition speed is fast.
Technical scheme of the present invention is as follows: the backstage recognition methods of a kind of television channel may further comprise the steps:
The client of A, Web TV or Digital Television once intercepts the operation of TV station's station symbol according to time of user's switching channels, and the TV station's station symbol that intercepts is sent to the image calculation server;
B, described image calculation server adopt image processing method to set up initial TV station symbol template, dynamically update the TV station's station symbol template in the TV station station symbol storehouse;
C, described image calculation server adopt image analysis method that TV station's station symbol that described client sends is carried out graphical analysis, carry out simultaneously TV station's TV station symbol recognition;
D, with the intercepting TV station's station symbol and the TV station's station symbol template in the TV station station symbol storehouse compare, compare the database that feeds back to successfully, the foundation of watching the TV behavioural habits as the user.
The backstage recognition methods of described television channel, wherein: the image processing method that adopts among the described step B comprises many threshold segmentation method and Color Segmentation method.
The backstage recognition methods of described television channel, wherein: also comprise according to the user and watch the foundation of TV behavioural habits that client is carried out the step that customized advertising pushes.
The backstage recognition methods of described television channel, wherein: also comprise according to the user and watch the foundation of TV behavioural habits client to be carried out the step of prompting message.
The backstage recognition methods of described television channel, wherein: also comprise according to the user and watch the foundation of TV behavioural habits that client is carried out the dynamically step of issue of news.
The backstage recognition methods of described television channel, wherein: also comprise according to the user and watch the foundation of TV behavioural habits to carry out the step of the favor program evaluation and test of Web TV or Digital Television.
A kind of television channel backstage recognition methods provided by the present invention, owing to adopted the TV station's station symbol that when user's switching channels, intercepts its switching channels, and with TV station station symbol storehouse in TV station's station symbol template of dynamically updating compare, greatly saved computing time, avoided the overall performance of server is impacted, accelerated the speed of television channel identification, and the matching rate of single TV station station symbol is also very high, improve the television channel recognition accuracy, be suitable as very much the foundation that the collection analysis user watches the TV programme behavioural habits.
Description of drawings
Fig. 1 is the FB(flow block) of television channel of the present invention backstage recognition methods.
Embodiment
Below with reference to accompanying drawing, the specific embodiment of the present invention and embodiment are described in detail, described specific embodiment is not for limiting the specific embodiment of the present invention only in order to explain the present invention.
As shown in Figure 1, Fig. 1 is the FB(flow block) of television channel of the present invention backstage recognition methods, this television channel backstage recognition methods can be used for carrying out the Web TV of rating or carrying out the Digital Television of rating by CATV set-top-box by the Internet, and the method may further comprise the steps:
The client of step S110, Web TV or Digital Television once intercepts the operation of TV station's station symbol according to time of user's switching channels, and the TV station's station symbol that intercepts is sent to the image calculation server;
Step S120, described image calculation server adopt image processing method that the TV station's station symbol that intercepts is processed, and set up initial TV station symbol template, and dynamically update the TV station's station symbol template in the TV station station symbol storehouse;
Step S130, described image calculation server adopt image analysis method that TV station's station symbol that described client sends is carried out graphical analysis, carry out simultaneously TV station's TV station symbol recognition;
Step S140, TV station's station symbol of intercepting and the TV station's station symbol template in the TV station station symbol storehouse are compared, compare the database that feeds back to successfully, as the foundation that the user watches the TV behavioural habits, compare unsuccessfully return step S130;
In the preferred implementation of television channel of the present invention backstage recognition methods, concrete, the image processing method that adopts among the described step S120 can comprise many threshold segmentation method and Color Segmentation method.
And after comparing successfully, TV station's station symbol warehouse-in that comparison can be met carries out subsequent treatment, for example, the behavioural habits of TV programme can be watched according to TV station's station symbol and the time period analysis user thereof of warehouse-in by the operational department of Web TV or Digital Television, and this user's client carried out the dynamically operation of issue of customized advertising propelling movement, prompting message and/or news, even can also watch the foundation of TV behavioural habits to carry out the work of the favor program evaluation and test of Web TV or Digital Television according to the user.
Should be understood that; the above only is preferred embodiment of the present invention; be not sufficient to limit technical scheme of the present invention; for those of ordinary skills; within the spirit and principles in the present invention; can be increased and decreased according to the above description, replacement, conversion or improvement, and all these increases and decreases, replacement, conversion or improve after technical scheme, all should belong to the protection range of claims of the present invention.
Claims (6)
1. a television channel backstage recognition methods is characterized in that, may further comprise the steps:
The client of A, Web TV or Digital Television once intercepts the operation of TV station's station symbol according to time of user's switching channels, and the TV station's station symbol that intercepts is sent to the image calculation server;
B, described image calculation server adopt image processing method to set up initial TV station symbol template, dynamically update the TV station's station symbol template in the TV station station symbol storehouse;
C, described image calculation server adopt image analysis method that TV station's station symbol that described client sends is carried out graphical analysis, carry out simultaneously TV station's TV station symbol recognition;
D, with the intercepting TV station's station symbol and the TV station's station symbol template in the TV station station symbol storehouse compare, compare the database that feeds back to successfully, the foundation of watching the TV behavioural habits as the user.
2. television channel backstage recognition methods according to claim 1, it is characterized in that: the image processing method that adopts among the described step B comprises many threshold segmentation method and Color Segmentation method.
3. television channel backstage recognition methods according to claim 1 is characterized in that: also comprise according to the user and watch the foundation of TV behavioural habits that client is carried out the step that customized advertising pushes.
4. television channel backstage recognition methods according to claim 1 is characterized in that: also comprise according to the user and watch the foundation of TV behavioural habits client to be carried out the step of prompting message.
5. television channel backstage recognition methods according to claim 1 is characterized in that: also comprise according to the user and watch the foundation of TV behavioural habits that client is carried out the dynamically step of issue of news.
6. television channel backstage recognition methods according to claim 1 is characterized in that: also comprise according to the user and watch the foundation of TV behavioural habits to carry out the step of the favor program evaluation and test of Web TV or Digital Television.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012105220757A CN103024552A (en) | 2012-12-07 | 2012-12-07 | Television channel background recognition method |
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| CN2012105220757A CN103024552A (en) | 2012-12-07 | 2012-12-07 | Television channel background recognition method |
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Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103473551A (en) * | 2013-09-16 | 2013-12-25 | 中国传媒大学 | Station logo recognition method and system based on SIFT operators |
| CN103955713A (en) * | 2014-04-24 | 2014-07-30 | 海信集团有限公司 | Icon recognition method and device |
| CN104038785A (en) * | 2014-05-30 | 2014-09-10 | 四川长虹电器股份有限公司 | Recommending system and method of live-program-related content of smart television |
| CN104796729A (en) * | 2015-04-09 | 2015-07-22 | 宁波创视信息技术有限公司 | Method for acquiring high-definition television playing frames in real time |
| CN105574746A (en) * | 2016-03-01 | 2016-05-11 | 叶澎涛 | Advertisement monitoring method based on image analysis method |
| CN103634652B (en) * | 2013-11-06 | 2017-06-16 | 小米科技有限责任公司 | TV station symbol recognition method, device, television set and system |
| US9785852B2 (en) | 2013-11-06 | 2017-10-10 | Xiaomi Inc. | Method, TV set and system for recognizing TV station logo |
| CN108509953A (en) * | 2018-04-12 | 2018-09-07 | 南京烽火天地通信科技有限公司 | A kind of TV station symbol detection recognition method |
| CN111401165A (en) * | 2020-03-06 | 2020-07-10 | Tcl华星光电技术有限公司 | Method for extracting station logo, display device and computer-readable storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN103473551A (en) * | 2013-09-16 | 2013-12-25 | 中国传媒大学 | Station logo recognition method and system based on SIFT operators |
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| CN111401165A (en) * | 2020-03-06 | 2020-07-10 | Tcl华星光电技术有限公司 | Method for extracting station logo, display device and computer-readable storage medium |
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Application publication date: 20130403 |