CN103475912A - Viewing analysis method and system based on video characteristics and user information - Google Patents

Viewing analysis method and system based on video characteristics and user information Download PDF

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CN103475912A
CN103475912A CN2013103545528A CN201310354552A CN103475912A CN 103475912 A CN103475912 A CN 103475912A CN 2013103545528 A CN2013103545528 A CN 2013103545528A CN 201310354552 A CN201310354552 A CN 201310354552A CN 103475912 A CN103475912 A CN 103475912A
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video
user profile
video frequency
rating
user
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黄海兵
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iFlytek Co Ltd
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Abstract

The invention relates to a viewing analysis method and system based on video characteristics and user information. A server side stores the video characteristic data of a video program; viewing information comprises the video characteristic data and the user information of a currently playing video program, and the acquired video characteristic data and the user information are uploaded to the server side; and the server side makes a comparison between the uploaded video characteristic data and the stored video characteristic data of the video program, determines the video program played by a television terminal according to an analysis result, and obtains, according to the viewing time and the user information of the video program, the viewing rating of the video program and the viewing situations classified according to the user information. By using the viewing analysis method and system based on the video characteristics and the user information, the video program is determined through the video characteristic data so that the viewing rating of the video program can be determined; and the user information can be acquired so that the video program viewing rating classified according to the user information can be obtained. The viewing analysis method provided by the invention has the advantages of fast and accurate viewing rating statistics, wide coverage of viewing statistics, and good viewing analysis effects.

Description

Rating analytical method and system based on video features and user profile
Technical field
The present invention relates to a kind of rating analytical method and system, relate in particular to a kind of rating analytical method and system based on video features and user profile.
Background technology
Along with the development of electronic technology and Internet technology, TV tech has also been carried out revolution at full speed.TV, as the king in parlor, is most important a member in household electrical appliances, is also the core member of the existing integration of three networks.Along with the development of network technology and Intelligent treatment technology, internet television is also the first-selection of numerous families, passes through internet television, not only can program request the Internet program, can also watch conventional cable television channels, not only can programs stored, can also review program.
In prior art, for the analysis of television terminal user program audience rating, be mainly by user's manual investigation, then carry out complicate statistics.This mode, be subject to the limitation of manual investigation, and coverage rate is little, and audience investigation is inaccurate.Along with the development of technology, in the audience rating investigating process, occurred adopting special-purpose equipment, pass through special equipment.Record rating time and rating period and watched channel by special equipment, this mode need to re-use special equipment and carry out record when changing program, but the user easily forgets or be not ready to re-use to cause viewership statistics extremely inaccurate by equipment.
Summary of the invention
The technical problem that the present invention solves is: build a kind of rating analytical method and system based on video features and user profile, overcome prior art viewership statistics efficiency low, the audience rating statistical face is little, the inaccurate technical problem of audience rating statistical.
Technical scheme of the present invention is: a kind of rating analytical method based on video features and user profile is provided, comprises television terminal and server end, described rating analytical method supplying method comprises the steps:
Store video characteristic: the video frequency feature data of described server end store video programs;
Gather and upload audience information: gather the video frequency feature data of user profile and current video program, the video frequency feature data of collection and user profile are uploaded to described server end;
Rating is analyzed: described server end compares analysis to the video frequency feature data of the video frequency program of the video frequency feature data uploaded and storage, described server end determines according to the comparative analysis result video frequency program that described television terminal is play, the audience ratings that obtains this video frequency program according to rating time and the user profile of video frequency program and according to the viewership of user profile classification.
Further technical scheme of the present invention is: described user profile comprises in age bracket under user's sex, age of user, user, user watched time, user's occupation attribute any one or a few.
Further technical scheme of the present invention is: described video frequency feature data is by the video flowing collection.
Further technical scheme of the present invention is: described user profile is inputted collection by remote controller.
Further technical scheme of the present invention is: described user profile is by the vocal print collection, that is: pre-stored user's vocal print and user profile, gather user's vocal print, then the vocal print of collection and pre-stored vocal print are contrasted and obtain user profile, add up the viewer by user profile, carry out the rating analysis of video frequency program according to viewer's Information Statistics situation.
Further technical scheme of the present invention is: also comprise by voice messaging and being gathered, described television terminal gathers user's voice messaging, is transformed to user profile and stores server end into.
Further technical scheme of the present invention is: also comprise by the voice interface collection, described server end is to described television terminal output voice messaging, user and described television terminal carry out interaction by voice messaging, and described server end gathers user profile by interaction.
Technical scheme of the present invention is: build a kind of rating analytical system based on video features and user profile, comprise television terminal and server end, described server end comprises memory module, the program determination module, the rating analysis module, described television terminal comprises acquisition module, upper transmission module, described memory module store video characteristic, described acquisition module gathers video frequency feature data and the user profile of the current displaying video programs of described television terminal, described upper transmission module uploads to described server end by the video frequency feature data of described acquisition module collection, described program determination module compares analysis to the video frequency feature data of the video frequency program of the video frequency feature data uploaded and storage, determine according to the comparative analysis result video frequency program that described television terminal is play, the audience ratings that described rating analysis module obtains this video frequency program according to rating time and the user profile of video frequency program and according to the viewership of user profile classification.
Further technical scheme of the present invention is: also comprise the remote controller input module of inputting user profile.
Further technical scheme of the present invention is: also comprise vocal print acquisition module and vocal print comparison module.
Further technical scheme of the present invention is: described server end comprises the voice interface module, and described television terminal comprises voice input module.
Technique effect of the present invention is: build a kind of rating analytical method and system based on video features and user profile, the video frequency feature data of described server end store video programs; Gather user profile and video frequency feature data, the video frequency feature data of collection and user profile are uploaded to described server end; Described server end compares analysis to the video frequency feature data of the video frequency program of the video frequency feature data uploaded and storage, described server end determines according to the comparative analysis result video frequency program that described television terminal is play, the audience ratings that obtains this video frequency program according to rating time and the user profile of video frequency program and according to the viewership of user profile classification.A kind of rating analytical method and system based on video features and user profile of the present invention, judgement by video frequency feature data to video frequency program, determine the audience ratings of video frequency program, according to the collection of user profile, obtain the video frequency program audience ratings by the user profile classification, rating analytical method of the present invention again, audience rating statistical fast, accurately, simultaneously, the viewership statistics broad covered area, the rating analytical effect is good.
The accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
Fig. 2 is the preferred embodiment of the present invention structural representation.
Embodiment
Below in conjunction with specific embodiment, technical solution of the present invention is further illustrated.
The specific embodiment of the present invention is: a kind of rating analytical method based on video features and user profile is provided, comprises television terminal 2 and server end 1, described rating analytical method supplying method comprises the steps:
Store video characteristic: the video frequency feature data of described server end 1 store video programs.
Specific implementation process is as follows: the characteristic of described server end 1 store video programs, the characteristic of described video frequency program comes from the video frequency program feature that server end 1 gathers, and also can come from outside and be sent to the video frequency program characteristic on server end 1.The characteristic of described server end 1 store video programs.That is, this characteristic, corresponding to its corresponding video frequency program, can know by this characteristic the video frequency program that it is corresponding.Video frequency feature data, be the set of video image characteristic, means the data of this section video frequency program feature.Video frequency feature data comprises the comprehensive characteristics set of various video characteristics of image, such as average gray feature, color moment feature, HOG feature etc., the representative of average gray feature means the intensity profile situation of video image, the situation that in color moment character representation video image, color component changes, the situation of grey scale change in HOG character representation video image.By the video features of each two field picture in continuous calculating video flowing, and these characteristics are preserved, just can obtain the characteristic data flow of video, thereby mean this video.Usually in algorithm, average gray is characterized as the average gray value of image, and the average gray value of image is the average of all gray value cumulative sums in certain zone, and average gray value has characterized the average color depth degree of this area pixel point, its span [0,255].For entire image, this is the feature (each piece has 1 average gray value) of one 9 dimension.
The HOG feature is based on the feature of gray level image, for pixel, by formula, calculates gradient direction k and amplitude S, specifically is calculated as follows:
Figure 2013103545528100002DEST_PATH_IMAGE002
Color moment in the color moment feature has the good characteristics such as translation, rotation, convergent-divergent consistency, calculates its first three Jie center square, and for entire image, the feature that conventional algorithm is a 3*3*9=81 dimension specifically is calculated as follows:
Figure 2013103545528100002DEST_PATH_IMAGE004
Gather and upload audience information: gather the video frequency feature data of user profile and current video program, the video frequency feature data of collection and user profile are uploaded to described server end 1.
Specific implementation process is as follows: while opening television terminal 2, gather the video frequency feature data of current displaying video programs, by the video flowing of inputting described television terminal 2, gather video frequency feature data.Gather user profile, described user profile comprises in age bracket under user's sex, age of user, user, user watched time, user's occupation attribute any one or a few.The video frequency feature data of collection and user profile are uploaded to described server end 1.
Rating is analyzed: the video frequency feature data of the video frequency program of 1 pair of video frequency feature data of uploading of described server end and storage compares analysis, described server end 1 determines according to the comparative analysis result video frequency program that described television terminal 2 is play, the audience ratings that obtains this video frequency program according to rating time and the user profile of video frequency program and according to the viewership of user profile classification.
Specific implementation process is as follows: the video frequency feature data of the video frequency feature data that described television terminal 2 is uploaded and 1 storage of described server end compares analysis, because video frequency feature data is corresponding with video frequency program, therefore, by video frequency feature data to right, can determine video frequency program corresponding to video frequency feature data consistent with this video frequency feature data, thereby determine the video frequency program of described television terminal 2 current broadcastings.According to rating time of video frequency program and rating television terminal 2 sums with open television terminal 2 numbers, determine that video frequency program, in audience ratings sometime, also comprises the viewership according to user's rating time period counting user.User profile comprises in age bracket under user's sex, age of user, user, user watched time, user's occupation attribute any one or a few, according to the viewership of one or more statistics video frequency programs of user profile.Such as, according to the viewership of age of user section counting user, according to the viewership of user's sex counting user.
The preferred embodiment of the present invention is: described user profile is inputted collection by remote controller.Concrete acquisition mode comprises: server end 1 transmission information, to described television terminal 2, forms user information choice at described television terminal 2, by the user, by remote controller, is selected to be inputted, and then the user profile of collection is sent to server end 1.Also comprise that server end 1 transmission information is to described television terminal 2, at described television terminal 2, form the user profile cuit, inputted by remote controller by the user, then the user profile of collection is sent to server end 1.
The preferred embodiment of the present invention is: described user profile is by the vocal print collection.Concrete mode is as follows: pre-stored user's vocal print and user profile, such as, pre-stored household electrical appliances father's vocal print, information by father, comprise in age bracket under father's age of user, user, user watched time, user's occupation attribute any one or a few, this user profile is corresponding with vocal print.During every day use, only need to gather father's vocal print, then the vocal print of collection and pre-stored vocal print are contrasted and obtain user profile, by user profile, add up the viewer, carry out the rating analysis of video frequency program according to viewer's Information Statistics situation.
The preferred embodiment of the present invention is: also comprise by voice messaging and being gathered, described television terminal 2 gathers user's voice messaging, is transformed to user profile and stores server end 1 into.Concrete acquisition mode comprises: by the phonetic entry user related information, then carry out the identification of voice messaging, obtain user profile, then stored.Also comprise by the voice interface collection, described server end 1 is to described television terminal 2 output voice messagings, the user carries out interaction by described television terminal 2 input voice informations and server end 1, user and described television terminal 2 carry out interaction by voice messaging, and described server end 1 gathers user profile by interaction.Server end 1 pre-sets interaction content, then successively by described television terminal 2 outputs.The user is according to the interactive input voice information of voice suggestion, and server end 1 is by receiving the collection of interactive information completing user information.
As shown in Figure 1, the specific embodiment of the present invention is: build a kind of rating analytical system based on video features and user profile, comprise television terminal 2 and server end 1, described server end 1 comprises memory module 11, program determination module 12, rating analysis module 13, described television terminal 2 comprises acquisition module 21, upper transmission module 22, described memory module 11 store video characteristics, described acquisition module 21 gathers video frequency feature data and the user profile of described television terminal 2 current displaying video programs, the video frequency feature data that described upper transmission module 22 gathers described acquisition module 21 uploads to described server end 1, the video frequency feature data of the video frequency program of 12 pairs of video frequency feature datas of uploading of described program determination module and storage compares analysis, determine according to the comparative analysis result video frequency program that described television terminal 2 is play, the audience ratings that described rating analysis module 13 obtains this video frequency program according to rating time and the user profile of video frequency program and according to the viewership of user profile classification.
As shown in Figure 1, the specific embodiment of the invention process is: the characteristic of described memory module 11 store video programs, the characteristic of described video frequency program comes from the video frequency program feature that server end 1 gathers, and also can come from outside and be sent to the video frequency program characteristic on server end 1.The characteristic of described server end 1 store video programs.That is, this characteristic, corresponding to its corresponding video frequency program, can know by this characteristic the video frequency program that it is corresponding.While opening television terminal 2, acquisition module 21 gathers audience information, and described audience information comprises video frequency feature data and the user profile of current described television terminal 2 displaying video programs, by the video flowing of inputting described television terminal, gathers video frequency feature data.Described user profile comprises in age bracket under user's sex, age of user, user, user watched time, user's occupation attribute any one or a few.The video frequency feature data of collection and user profile are uploaded to described server end 1 by described upper transmission module 22.The video frequency feature data of the video frequency feature data that described program determination module 12 is uploaded described television terminal and the storage of described server end compares analysis, because video frequency feature data is corresponding with video frequency program, therefore, by video frequency feature data to right, can determine video frequency program corresponding to video frequency feature data consistent with this video frequency feature data, thereby described program determination module 12 is determined the video frequency program of the current broadcasting of described television terminal.According to rating time of video frequency program and rating television terminal sum with open the television terminal number, described rating analysis module 13 determines that video frequency program, in audience ratings sometime, also comprises the viewership according to user's rating time period counting user.User profile comprises in age bracket under user's sex, age of user, user, user watched time, user's occupation attribute any one or a few, and described rating analysis module 13 is according to the viewership of one or more statistics video frequency programs of user profile.Such as, according to the viewership of age of user section counting user, according to the viewership of user's sex counting user.
Video frequency feature data, be the set of video image characteristic, means the data of this section video frequency program feature.Video frequency feature data comprises the comprehensive characteristics set of various video characteristics of image, such as average gray feature, color moment feature, HOG feature etc., the representative of average gray feature means the intensity profile situation of video image, the situation that in color moment character representation video image, color component changes, the situation of grey scale change in HOG character representation video image.By the video features of each two field picture in continuous calculating video flowing, and these characteristics are preserved, just can obtain the characteristic data flow of video, thereby mean this video.Usually in algorithm, average gray is characterized as the average gray value of image, and the average gray value of image is the average of all gray value cumulative sums in certain zone, and average gray value has characterized the average color depth degree of this area pixel point, its span [0,255].For entire image, this is the feature (each piece has 1 average gray value) of one 9 dimension.The HOG feature is based on the feature of gray level image, for pixel, by formula, calculates gradient direction k and amplitude S.Color moment in the color moment feature has the good characteristics such as translation, rotation, convergent-divergent consistency, calculates its first three Jie center square, for entire image, and the feature that conventional algorithm is a 3*3*9=81 dimension.
As shown in Figure 2, the preferred embodiment of the present invention is: server end also comprises the remote controller input module 14 of inputting user profile.Described user profile is inputted collection by remote controller.Concrete acquisition mode comprises: remote controller input module 14 transmission informations of server end 1 are to described television terminal 2, form user information choice at described television terminal 2, selected to be inputted by remote controller by the user, then the user profile of collection is sent to server end 1.Also comprise that remote controller input module 14 transmission informations of server end 1 are to described television terminal 2, at described television terminal 2, form the user profile cuit, inputted by remote controller by the user, then the user profile of collection is sent to server end 1.
As shown in Figure 2, the preferred embodiment of the present invention is: also comprise vocal print acquisition module 15 and vocal print comparison module 16.Gather audio signal by television terminal 2, then gather vocal print according to audio signal by vocal print acquisition module 15, the pre-stored user's vocal print of described memory module 11 and user profile, such as, pre-stored household electrical appliances father's vocal print, by father's information, comprise in age bracket under father's age of user, user, user watched time, user's occupation attribute any one or a few, this user profile is corresponding with vocal print.While using television terminal, while by voice, turning on TV or select channel, video frequency program, this voice signal is gathered, gather its vocal print by vocal print acquisition module 15, vocal print comparison module 16 contrasts the vocal print of collection and pre-stored vocal print to obtain user profile, add up the viewer by user profile, carry out the rating analysis of video frequency program according to viewer's Information Statistics situation.In specific embodiment, vocal print acquisition module 15 can be arranged on television terminal and carry out after the vocal print collection end 1 of uploading onto the server again, also can be arranged on 1 pair of audio signal of uploading of server end and carry out the vocal print collection.
As shown in Figure 2, the preferred embodiment of the present invention is: described server end 1 comprises voice interface module 17, and described television terminal 2 comprises voice input module 23.The voice input module 23 of described television terminal 2 gathers user's voice messaging, is transformed to user profile and stores server end 1 into after the identification conversion.Concrete transfer process is carried out speech recognition conversion at television terminal 2, and the end 1 of also can uploading onto the server is identified conversion.Concrete acquisition mode comprises: by the phonetic entry user related information, then carry out the identification of voice messaging, obtain user profile, then stored.Also comprise that voice interface module 17 is by the voice interface collection, the voice interface module 17 of described server end 1 is to described television terminal 2 output interactive voice information, the user carries out interaction by described television terminal 2 input voice informations and server end 1, user and described television terminal 2 carry out interaction by voice messaging, and described server end 1 gathers user profile by interaction.Server end 1 pre-sets interaction content, then successively by described television terminal 2 outputs.The user is according to the interactive input voice information of voice suggestion, and server end 1 is by receiving the collection of interactive information completing user information.
Technique effect of the present invention is: build a kind of rating analytical method and system based on video features and user profile, the video frequency feature data of described server end store video programs; Described audience information comprises video frequency feature data and the user profile of current displaying video programs, and the video frequency feature data of the current video program of collection and user profile are uploaded to described server end; Described server end compares analysis to the video frequency feature data of the video frequency program of the video frequency feature data uploaded and storage, described server end determines according to the comparative analysis result video frequency program that described television terminal is play, the audience ratings that obtains this video frequency program according to rating time and the user profile of video frequency program and according to the viewership of user profile classification.A kind of rating analytical method and system based on video features and user profile of the present invention, judgement by video frequency feature data to video frequency program, determine the audience ratings of video frequency program, according to the collection of user profile, obtain the video frequency program audience ratings by the user profile classification, rating analytical method of the present invention again, audience rating statistical fast, accurately, simultaneously, the viewership statistics broad covered area, the rating analytical effect is good.
Above content is in conjunction with concrete preferred implementation further description made for the present invention, can not assert that specific embodiment of the invention is confined to these explanations.For the general technical staff of the technical field of the invention, without departing from the inventive concept of the premise, can also make some simple deduction or replace, all should be considered as belonging to protection scope of the present invention.

Claims (10)

1. the rating analytical method based on video features and user profile, is characterized in that, comprises television terminal and server end, and described rating analytical method supplying method comprises the steps:
Store video characteristic: the video frequency feature data of described server end store video programs;
Gather and upload audience information: gather the video frequency feature data of user profile and current video program, the video frequency feature data of collection and user profile are uploaded to described server end;
Rating is analyzed: described server end compares analysis to the video frequency feature data of the video frequency program of the video frequency feature data uploaded and storage, described server end determines according to the comparative analysis result video frequency program that described television terminal is play, the audience ratings that described server end obtains this video frequency program according to rating time and the user profile of video frequency program and according to the viewership of user profile classification.
2. the rating analytical method based on video features and user profile according to claim 1, it is characterized in that, described user profile comprises in age bracket under user's sex, age of user, user, user watched time, user's occupation attribute any one or a few.
3. the rating analytical method based on video features and user profile according to claim 1, is characterized in that, described video frequency feature data is by the video flowing collection.
4. the rating analytical method based on video features and user profile according to claim 1, is characterized in that, described user profile is inputted collection by remote controller.
5. the rating analytical method based on video features and user profile according to claim 1, it is characterized in that, described user profile is by the vocal print collection, that is: pre-stored user's vocal print and user profile, gather user's vocal print, then the vocal print of collection and pre-stored vocal print are contrasted and obtain user profile, by user profile, add up the viewer, carry out the rating analysis of video frequency program according to viewer's Information Statistics situation.
6. the rating analytical method based on video features and user profile according to claim 1, is characterized in that, also comprises by voice messaging and being gathered, and described television terminal gathers user's voice messaging, is transformed to user profile and stores server end into.
7. the rating analytical system based on video features and user profile, it is characterized in that, comprise television terminal and server end, described server end comprises memory module, the program determination module, the rating analysis module, described television terminal comprises acquisition module, upper transmission module, the video frequency feature data of described memory module store video programs, described acquisition module gathers video frequency feature data and the user profile of the current displaying video programs of described television terminal, described upper transmission module uploads to described server end by the video frequency feature data of described acquisition module collection, described program determination module compares analysis to the video frequency feature data of the video frequency program of the video frequency feature data uploaded and storage, determine according to the comparative analysis result video frequency program that described television terminal is play, the audience ratings that described rating analysis module obtains this video frequency program according to rating time and the user profile of video frequency program and according to the viewership of user profile classification.
8. the rating analytical system based on video features and user profile according to claim 7, is characterized in that, also comprises the remote controller input module of inputting user profile.
9. the rating analytical system based on video features and user profile according to claim 7, is characterized in that, also comprises vocal print acquisition module and vocal print comparison module.
10. the rating analytical system based on video features and user profile according to claim 7, is characterized in that, described server end comprises the voice interface module, and described television terminal comprises voice input module.
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Application publication date: 20131225