CN105894333A - Big data acquisition and processing system and method based on viewing amount of advertisements on display screen - Google Patents
Big data acquisition and processing system and method based on viewing amount of advertisements on display screen Download PDFInfo
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Abstract
The invention relates to a big data acquisition and processing system and method based on the viewing amount of advertisements on a display screen, and belongs to the technical field of advertisement data acquisition and processing. The invention includes the steps of advertisement file import; image acquisition and storage; image data pre-processing; pre-processed data remote transmission and storage; data extraction and classification; and data statistics and analysis. The invention acquires image data automatically in real time with high acquisition efficiency and information confidentiality, obtains the real-time viewing amount of target advertisements through data classification, statistics and analysis, predicts the viewing amount of advertisements at fixed locations and time through long-term data accumulation, and assists advertisers in putting forward a reasonable advertising program.
Description
Technical field
The present invention relates to a kind of big data sampling and processing system and method based on display screen advertisement viewing amount, belong to ad data collection and processing technology field.
Background technology
Instantly, along with Internet technology and the fast development of big market demand, poly-talented (quantization) marketing and sequencing advertisement are increasingly becoming the important component part in Modern Marketing pattern.From precision marketing originally, RTB(real time bid finally), DSP(party in request platform), the privately owned DSP that propagandizes hotly the most up till now, mobile DSP, commercial wifi etc., various new tools, new model, new ideas emerge in an endless stream.For advertiser, no matter concept has burning the hotest, and its target first having to pay close attention to remains effect of advertising.
But, the measurement system of Traditional Marketing effect of advertising lost efficacy, and this lost efficacy and is built upon on the basis of structure of society differentiation and audient's fragmentation.When there is unstable fragmentation in structure of society, when communication channel becomes hardware and software platform, original consumer investigation instrument is the most malfunctioning: the fragmentation of audient allows consumer research mode originally cannot guarantee verity, it is impossible to recycle these methods to capture real demand and the desire of audient;The change of structure of society makes increasingly mature sampling survey face difficult selection, and the unavoidable error of original Sampling is out of control, and enlarged sample quantity can control error undoubtedly, but causes cost lifting and hard to carry on；Add current all kinds of outdoor medias and lack authoritative measurement of effectiveness system and instrument etc..
For encouraging advertiser to increase web advertisement budget, Google is proposed a new advertising function Brand Activate, and this measure is intended to facilitate advertiser to understand its advertisement and watches situation.As a part for the new measure, Google will use a total audience ratings of entitled GRP() survey tool, current television advertising commonly uses this survey tool.
But not yet having at present and watch statistics of variables method and system for display screen advertisement, this also will have influence on the comprehensive of advertisement statistics and integrity.If we can provide to advertiser measures the advertisement amount of watching the instrument made adjustment accordingly, then their advertising budget will be skewed towards the display screen advertisement in streets and lanes rather than television advertising or the web advertisement.In this context, a kind of new method and system being used for adding up the display screen advertisement amount of watching suddenly is waited to be developed, and can be in conjunction with the feature of big data by the Real-time Collection of mass data and analysis, the advertisement amount of watching of each place and time is predicted, helps advertiser to formulate rational advertisement putting scheme.
Summary of the invention
The invention provides a kind of big data sampling and processing system and method based on display screen advertisement viewing amount, in order to solve the data collection problems of display screen advertisement viewing amount.The collection of automatization and processing mode, reduce traditional artificial cost gathered and the artificial uncertainty gathering display screen advertisement viewing amount data.The data of the viewing amount of each time period, each place, each advertisement can also be obtained by the inventive method and system, by to the process of the big data collected and analysis, can be that advertiser formulates rational advertisement putting scheme and provides reliable reference data.
The technical scheme is that a kind of big data sampling and processing system and method based on display screen advertisement viewing amount, concretely comprising the following steps of described method:
Step1, promotional literature import；By the advertisement multimedia file import system server of required broadcasting, and remotely being sent by system server to the corresponding display screen needing to play this advertisement, the broadcasting place of imported advertisement, playing duration, reproduction time section are configured by system server；
Step2, image acquisition also store；Obtain the image information before ad display screen in real time by image capture module, and image information is stored in image storage module；
Step3, pre-processing image data；Pass through Face datection, the image collected from memorizer extracts facial image, and facial image is carried out successively light compensation, greyscale transformation, histogram equalization, normalization, geometric correction, filtering and Edge contrast, produce the image data information of suitable system server process；
Step4, remotely transmission preprocessed data also store；The pretreated image data information produced in step Step2, it is remotely sent to system server, is uploaded in the data base towards big data in high in the clouds back up simultaneously；
Step5, the extraction of data and classification；First from system server, extract the relevant information of the advertisement that display screen is play；In the pretreated image data information obtained from step Step3 again, by integral projection method, obtain the human eye quantity of viewing display screen；Again by face recognition technology, extract the character features data in image data information and classify with this；
Step6, data statistics and analysis；The data of each classification after classification in step Step4 are added up, by the analysis of the statistical data to each classification, obtain each time period viewing sex of crowd of ad content, age bracket distribution and each time period, each place, the viewing amount of each type advertisements.
Preferably, in described step Step3, remotely sending preprocessed data and use poll to send method, system server timing being inquired whether the pretreated image data information of each ad display screen website has renewal successively, if having, being uploaded, if without, do not upload.
Preferably, in described step Step4, the relevant information of the advertisement that display screen is play includes ad content, plays place, playing duration, reproduction time section.
Preferably, in described step Step4, when classifying the character features data in the image data information extracted, classification includes age bracket, sex, whether eyes watch display screen classifies.
Preferably, in described step Step5, the content after classification added up the data of each classification includes the number of the number of each age group, the number of masculinity and femininity, eyes viewing screen.
A kind of big data sampling and processing system based on display screen advertisement viewing amount, described system includes:
Image capture module；Image information before gathering the display screen playing advertisement, and the image information collected is stored in image storage module；
Data preprocessing module；Image information in image acquisition memory module is carried out Face datection, extract facial image, and facial image is carried out light compensation, greyscale transformation, histogram equalization, normalization, geometric correction, filtering and Edge contrast, produce the image information of suitable system server process；
Data transmission blocks；For remotely sending pretreated image data information to system server, it is uploaded in the data base towards big data in high in the clouds back up simultaneously；
Data memory module；For storing the original image information that image capture module obtains；
System server；For storing the advertisement multimedia file of required broadcasting, and send to needing to play the corresponding display screen of this advertisement, the broadcasting place of imported advertisement, playing duration, reproduction time section are configured；Secondly for pretreated image data information being extracted, classifies, statistics and analysis, and combine the big data in high in the clouds advertisement viewing amount is predicted, obtain each time period viewing sex of crowd of ad content, age bracket distribution and each time period, each place, the viewing amount of each type advertisements.
Preferably, system server also includes that data are extracted and sort module, the character features data in image data information after the relevant information extracting the advertisement that display screen is play and pretreatment, the character features data extracted are classified simultaneously, the data stating same feature are divided at same class.
Preferably, system server also includes data statistics and analyzes module, data message of all categories after statistical classification.
The invention has the beneficial effects as follows:
1, not yet had at present and watched statistics of variables method for display screen advertisement, and caused the comprehensive of advertisement statistics and integrity to be protected, the method and system of the present invention, solve the data collection problems of display screen advertisement viewing amount；
2, use the image information before automatically in real time obtaining advertisement screen rather than manually gather, it is possible to being effectively improved the efficiency of data acquisition and comprehensive, simplify manual operation behavior, enhance the confidentiality of information simultaneously；
3, carry out remotely located by the system server broadcasting place of advertisement multimedia file to importing, playing duration, reproduction time section, greatly reduce the artificial cost changing ad content；Obtain the image information before advertisement screen the most in real time, improve reliability and the automaticity of system；
4, use pre-treatment step to effectively reduce volume of transmitted data and the intractability of subsequent step, also ensure that integrity and the reliability of view data；It is uploaded to preprocessed data in the data base towards big data in high in the clouds back up, coordinates the original image information of storage in local storage, can effectively prevent the data degradation caused because of system crash etc.；
5, carry out classifying and adding up by the character features data in the relevant information of display screen advertisement and the image information that extracts, it is possible to when facilitating data analysis, each categorical data is read in classification, improves analysis efficiency；Use poll to send method, reduce occupancy volume to Internet resources, prevent data from uploading cause congested simultaneously；
6, by process and the statistics gathering data, the data of the viewing amount of each time period, each place, each advertisement can be obtained, by to the process of the big data collected and analysis, formulating rational advertisement putting scheme for advertiser and provide reliable reference data.
Accompanying drawing explanation
Fig. 1 is the flow chart in the present invention；
Fig. 2 is present system structural representation.
Detailed description of the invention
Embodiment 1: as shown in Figure 1-2, a kind of big data sampling and processing system and method based on display screen advertisement viewing amount, concretely comprising the following steps of described method:
Step1, promotional literature import；By the advertisement multimedia file import system server of required broadcasting, and remotely being sent by system server to the corresponding display screen needing to play this advertisement, the broadcasting place of imported advertisement, playing duration, reproduction time section are configured by system server；
Step2, image acquisition also store；Obtain the image information before ad display screen in real time by image capture module, and image information is stored in image storage module；
Step3, pre-processing image data；Pass through Face datection, the image collected from memorizer extracts facial image, and facial image is carried out successively light compensation, greyscale transformation, histogram equalization, normalization, geometric correction, filtering and Edge contrast, produce the image data information of suitable system server process；
Step4, remotely transmission preprocessed data also store；The pretreated image data information produced in step Step2, it is remotely sent to system server, is uploaded in the data base towards big data in high in the clouds back up simultaneously；
Step5, the extraction of data and classification；First from system server, extract the relevant information of the advertisement that display screen is play；In the pretreated image data information obtained from step Step3 again, by integral projection method, obtain the human eye quantity of viewing display screen；Again by face recognition technology, extract the character features data in image data information and classify with this；
Step6, data statistics and analysis；The data of each classification after classification in step Step4 are added up, by the analysis of the statistical data to each classification, obtain each time period viewing sex of crowd of ad content, age bracket distribution and each time period, each place, the viewing amount of each type advertisements.
Preferably, in described step Step3, remotely sending preprocessed data and use poll to send method, system server timing being inquired whether the pretreated image data information of each ad display screen website has renewal successively, if having, being uploaded, if without, do not upload.
Preferably, in described step Step4, the relevant information of the advertisement that display screen is play includes ad content, plays place, playing duration, reproduction time section.
Preferably, in described step Step4, when classifying the character features data in the image data information extracted, classification includes age bracket, sex, whether eyes watch display screen classifies.
Preferably, in described step Step5, the content after classification added up the data of each classification includes the number of the number of each age group, the number of masculinity and femininity, eyes viewing screen.
A kind of big data sampling and processing system based on display screen advertisement viewing amount, described system includes:
Image capture module；Image information before gathering the display screen playing advertisement, and the image information collected is stored in image storage module；
Data preprocessing module；Image information in image acquisition memory module is carried out Face datection, extract facial image, and facial image is carried out light compensation, greyscale transformation, histogram equalization, normalization, geometric correction, filtering and Edge contrast, produce the image information of suitable system server process；
Data transmission blocks；For remotely sending pretreated image data information to system server, it is uploaded in the data base towards big data in high in the clouds back up simultaneously；
Data memory module；For storing the original image information that image capture module obtains；
System server；For storing the advertisement multimedia file of required broadcasting, and send to needing to play the corresponding display screen of this advertisement, the broadcasting place of imported advertisement, playing duration, reproduction time section are configured；Secondly for pretreated image data information being extracted, classifies, statistics and analysis, and combine the big data in high in the clouds advertisement viewing amount is predicted, obtain each time period viewing sex of crowd of ad content, age bracket distribution and each time period, each place, the viewing amount of each type advertisements.
Preferably, system server also includes that data are extracted and sort module, the character features data in image data information after the relevant information extracting the advertisement that display screen is play and pretreatment, the character features data extracted are classified simultaneously, the data stating same feature are divided at same class.
Preferably, system server also includes data statistics and analyzes module, data message of all categories after statistical classification.During application, system server includes viewing amount prediction module, the data in the data base towards big data combining high in the clouds, and by prediction algorithm, the viewing amount that specific crowd is watched custom and particular advertisement is predicted.
Above in conjunction with accompanying drawing, the detailed description of the invention of the present invention is explained in detail, but the present invention is not limited to above-mentioned embodiment, in the ken that those of ordinary skill in the art are possessed, it is also possible on the premise of without departing from present inventive concept, various changes can be made.
Claims (8)
1. a big data sampling and processing method based on display screen advertisement viewing amount, it is characterised in that: specifically comprising the following steps that of described method
Step1, promotional literature import；By the advertisement multimedia file import system server of required broadcasting, and remotely being sent by system server to the corresponding display screen needing to play this advertisement, the broadcasting place of imported advertisement, playing duration, reproduction time section are configured by system server；
Step2, image acquisition also store；Obtain the image information before ad display screen in real time by image capture module, and image information is stored in image storage module；
Step3, pre-processing image data；Pass through Face datection, the image collected from memorizer extracts facial image, and facial image is carried out successively light compensation, greyscale transformation, histogram equalization, normalization, geometric correction, filtering and Edge contrast, produce the image data information of suitable system server process；
Step4, remotely transmission preprocessed data also store；The pretreated image data information produced in step Step2, it is remotely sent to system server, is uploaded in the data base towards big data in high in the clouds back up simultaneously；
Step5, the extraction of data and classification；First from system server, extract the relevant information of the advertisement that display screen is play；In the pretreated image data information obtained from step Step3 again, by integral projection method, obtain the human eye quantity of viewing display screen；Again by face recognition technology, extract the character features data in image data information and classify with this；
Step6, data statistics and analysis；The data of each classification after classification in step Step4 are added up, by the analysis of the statistical data to each classification, obtain each time period viewing sex of crowd of ad content, age bracket distribution and each time period, each place, the viewing amount of each type advertisements.
Big data sampling and processing method based on display screen advertisement viewing amount the most according to claim 1, it is characterized in that: in described step Step3, remotely sending preprocessed data uses poll to send method, system server timing inquires whether the pretreated image data information of each ad display screen website has renewal successively, if having, upload, if without, do not upload.
Big data sampling and processing method based on display screen advertisement viewing amount the most according to claim 1, it is characterized in that: in described step Step4, the relevant information of the advertisement that display screen is play includes ad content, plays place, playing duration, reproduction time section.
Big data sampling and processing method based on display screen advertisement viewing amount the most according to claim 1, it is characterized in that: in described step Step4, when classifying the character features data in the image data information extracted, classification includes age bracket, sex, whether eyes watch display screen classifies.
Big data sampling and processing method based on display screen advertisement viewing amount the most according to claim 1, it is characterized in that: in described step Step5, the content after classification added up the data of each classification includes the number of the number of each age group, the number of masculinity and femininity, eyes viewing screen.
6. a big data sampling and processing system based on display screen advertisement viewing amount, it is characterised in that: described system includes:
Image capture module；Image information before gathering the display screen playing advertisement, and the image information collected is stored in image storage module；
Data preprocessing module；Image information in image acquisition memory module is carried out Face datection, extract facial image, and facial image is carried out light compensation, greyscale transformation, histogram equalization, normalization, geometric correction, filtering and Edge contrast, produce the image information of suitable system server process；
Data transmission blocks；For remotely sending pretreated image data information to system server, it is uploaded in the data base towards big data in high in the clouds back up simultaneously；
Data memory module；For storing the original image information that image capture module obtains；
System server；For storing the advertisement multimedia file of required broadcasting, and send to needing to play the corresponding display screen of this advertisement, the broadcasting place of imported advertisement, playing duration, reproduction time section are configured；Secondly for pretreated image data information being extracted, classifies, statistics and analysis, and combine the big data in high in the clouds advertisement viewing amount is predicted, obtain each time period viewing sex of crowd of ad content, age bracket distribution and each time period, each place, the viewing amount of each type advertisements.
Big data sampling and processing system based on display screen advertisement viewing amount the most according to claim 1, it is characterized in that: system server also includes that data are extracted and sort module, the character features data in image data information after the relevant information extracting the advertisement that display screen is play and pretreatment, the character features data extracted are classified simultaneously, the data stating same feature are divided at same class.
Big data sampling and processing system based on display screen advertisement viewing amount the most according to claim 1, it is characterised in that: system server also includes data statistics and analyzes module, data message of all categories after statistical classification.
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| CN106327262A (en) * | 2016-08-29 | 2017-01-11 | 山东易牌网络科技有限公司 | Outdoor advertisement transaction system and method |
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| CN108122124A (en) * | 2016-11-30 | 2018-06-05 | 腾讯科技（北京）有限公司 | Information-pushing method, platform and system |
| CN108900861A (en) * | 2018-07-02 | 2018-11-27 | 深圳市华慧品牌管理有限公司 | A kind of method and apparatus obtaining advertising effect data |
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