CN105279161A - Filter sequencing method and filter sequencing device for picture processing application - Google Patents
Filter sequencing method and filter sequencing device for picture processing application Download PDFInfo
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- CN105279161A CN105279161A CN201410255135.2A CN201410255135A CN105279161A CN 105279161 A CN105279161 A CN 105279161A CN 201410255135 A CN201410255135 A CN 201410255135A CN 105279161 A CN105279161 A CN 105279161A
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Abstract
The invention provides a filtering sequencing method and a filter sequencing device for a picture processing application. The filter sequencing method comprises the steps of loading the picture to be processed in the picture processing application; obtaining the historical use frequency of each filter in the picture processing application by a user, wherein the total number of the filters is M; sequencing the M filters according to a sequence that the historical use frequencies gradually reduce from a highest frequency to a lowest frequency, taking the front N filters, wherein N<M; and successively displaying the N filters on the interface of the picture processing application according to the sequence. According to the filter sequencing method for the picture processing application, through analyzing the historical use data of the user, the use frequency of each filter in the picture processing application is acquired, and furthermore the filter with relatively high use frequency is arranged in front of all filters. Not only is recommending accuracy of the filter to the user improved, but also finding of a commonly used filter can be facilitated. Furthermore time for selecting the filter by the user is saved.
Description
Technical field
The present invention relates to Computer Applied Technology, particularly relate to filter sort method and the device of the application of a kind of picture processing.
Background technology
Along with the fast development of the various mobile terminals such as smart mobile phone, increasing user uses the various mobile terminals had to take pictures anywhere or anytime, such as, uses the mobile terminal such as smart mobile phone, panel computer carried with namely to take pictures.For increasing the landscaping effect of picture, the photo after taking pictures, user often needs the filter function applied by picture processing to process.
In existing picture processing application, a series of filtering effects of user can be supplied to, so that user increases on picture be applicable to the customer satisfaction system a kind of special efficacy of this pictures.Be specially: picture processing application as beautified in picture module, place a filter module, after user clicks filter function, eject multiple filtering effects thumbnail and select for user, user selects a kind of being applied on pending picture in multiple filtering effects.
Although provide multiple filtering effects in existing picture processing application, multiple filter allows user oneself select, not only dazzled, is difficult to select.And user after repeatedly clicking and have selected a filter, when a loading next time similar picture is wanted to add filtering effects, again find this filter in many moneys filter again, Consumer's Experience is friendly not.
Summary of the invention
Based on this, being necessary cannot adapt to the technical matters of the demand that user uses fast for filter sequence in the application of existing picture processing, a kind of filter sort method that can apply to the picture processing of user's intelligent recommendation filter and device are provided.
The filter sort method that the embodiment of the present invention provides a kind of picture processing to apply, comprises the steps:
Pending picture is loaded in picture processing application;
Obtain the user history frequency of usage for each filter in picture processing application, wherein filter add up to M;
An above-mentioned M filter is sorted by the frequency used from high in the end according to its history, gets top n filter, wherein N<M;
Above-mentioned N number of filter is showed on the interface of described picture processing application successively according to above-mentioned sequence.
The filter collator that the embodiment of the present invention also provides a kind of picture processing to apply, comprises the steps:
Picture load-on module, for loading pending picture in picture processing application;
Filter frequency of usage acquisition module, for obtaining user's history for the frequency of usage of each filter in picture processing application, wherein filter add up to M;
Filter order module, for being sorted from high in the end by the frequency used according to its history by an above-mentioned M filter, gets top n filter, wherein N<M;
Filter display module, for being showed in the interface of described picture processing application successively according to above-mentioned sequence by above-mentioned N number of filter.
The filter sort method of above-mentioned picture application is by analyzing the history usage data of user, get the frequency of usage of each filter in picture processing application, and filter higher for frequency of usage is arranged in the front end of all filters, not only increase the accuracy that filter recommends user, and user can also be facilitated to find its conventional filter, and then save the time that user selects filter.
Accompanying drawing explanation
Fig. 1 is the process flow diagram of the filter sort method of picture processing application in an embodiment;
Fig. 2 is for using the interface schematic diagram of the picture processing application of method shown in Fig. 1;
Fig. 3 is the process flow diagram of the filter sort method of picture processing application in another embodiment;
Fig. 4 is for using the interface schematic diagram of the picture processing application of method shown in Fig. 3;
Fig. 5 is the module map of the filter collator of picture processing application in an embodiment;
Fig. 6 is the module map of the filter collator of picture processing application in another embodiment.
Embodiment
In order to make object of the present invention, technical scheme and advantage clearly understand, below in conjunction with drawings and Examples, the present invention is further elaborated.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Unless context separately has the description of specific distinct, the element in the present invention and assembly, the form that quantity both can be single exists, and form that also can be multiple exists, and the present invention does not limit this.Although the step in the present invention arranges with label, and be not used in and limit the precedence of step, the order of step or the execution of certain step need based on other steps unless expressly stated, otherwise the relative rank of step is adjustable.Be appreciated that term "and/or" used herein relates to and contains the one or more any and all possible combination in the Listed Items be associated.
As shown in Figure 1, on the one hand, the filter sort method that the present embodiment provides a kind of picture to apply, comprises the steps:
Step S110: load pending picture in picture processing application.
Concrete, described picture processing application can be camera applications software, also can be independent of the photo handling software outside camera software, as elegant in U.S. figure etc.Before step S110, also comprise the steps such as the picture beautifying functions module started in picture processing application, the application of selection picture processing.
Step S120: obtain the user history frequency of usage for each filter in picture processing application, wherein filter add up to M.
Concrete, namely described user's history can be stored in the memory device of terminal local for the frequency of usage data of each filter in picture processing application, also can be stored on server.When during described user's history is for picture processing application, the frequency of usage data of each filter are stored on server, then directly can obtain the frequency of usage data of described user's history for each filter in picture processing application from server, also first the described user's history on server can be downloaded to terminal for the frequency of usage data of each filter in picture processing application, and then obtain the frequency of usage data of described user's history for each filter in picture processing application.
Step S130: an above-mentioned M filter is sorted by the frequency used from high in the end according to its history, gets top n filter, wherein N<M.
Concrete, suppose that M is 4, then N can be one of 1,2,3 any number, in the present embodiment, selects the numerical value of N to be 3 to be described.Why choosing N<M, is to get rid of the non-common filter of display, to reduce the time that user selects filter to consume.
Step S140: above-mentioned N number of filter is showed on the interface of described picture processing application successively according to above-mentioned sequence.
Refer to Fig. 2, suppose that N number of filter is respectively N1, N2 and N3, the history frequency of usage of filter described in it is N1>N2>N3, and therefore it puts in order as N1 arranges the first, N2 arrangement, the second, N3 rehearsal the 3rd.After all the other M-N filter is arranged in described N number of filter, namely a described M-N filter can randomly rehearse, and also can arrange according to modes such as User Defineds.
The filter sort method of above-mentioned picture application is by analyzing the history usage data of user, get the frequency of usage of each filter in picture processing application, and filter higher for frequency of usage is arranged in the front end of all filters, not only increase the accuracy that filter recommends user, and user can also be facilitated to find its conventional filter, and then save the time that user selects filter.
Refer to Fig. 3, on the other hand, the filter sort method that the present embodiment also provides a kind of picture to apply, comprises the steps:
Step S210: load pending picture in picture processing application.
Concrete, described picture processing application can be camera applications software, also can be independent of the photo handling software outside camera software, as elegant in U.S. figure etc.Before step S210, also comprise the steps such as the picture beautifying functions module started in picture processing application, the application of selection picture processing.
Step S220: obtain the user history frequency of usage for each filter in picture processing application, wherein filter add up to M.
Concrete, namely described user's history can be stored in the memory device of terminal local for the frequency of usage data of each filter in picture processing application, also can be stored on server.When during described user's history is for picture processing application, the frequency of usage data of each filter are stored on server, then directly can obtain the frequency of usage data of described user's history for each filter in picture processing application from server, also first the described user's history on server can be downloaded to terminal for the frequency of usage data of each filter in picture processing application, and then obtain the frequency of usage data of described user's history for each filter in picture processing application.
Step S230: an above-mentioned M filter is sorted by the frequency used from high in the end according to its history, gets top n filter, wherein N<M;
Concrete, suppose that M is 4, then N can be one of 1,2,3 any number, and the present embodiment selects the numerical value of N to be 2 to be described.Why choosing N<M, is to get rid of the non-common filter of display, to reduce the time that user selects filter to consume.
Step S240: above-mentioned N number of filter is showed on the interface of described picture processing application successively according to above-mentioned sequence.
Refer to Fig. 4, suppose that N number of filter is respectively N1 and N2, the history frequency of usage of filter described in it is N1>N2, and therefore it puts in order as N1 arranges the first, N2 arrangement second.After all the other M-N filter is arranged in described N number of filter, namely a described M-N filter can randomly rehearse, and also can arrange according to modes such as User Defineds.
Step S250: the exchangeable image file exif parameter reading described pending picture, chooses the filter being greater than predetermined threshold value with the matching degree of described exif parameter; If the filter being greater than predetermined threshold value with the matching degree of described exif parameter is not contained in described N number of filter, to be then showed on interface that described picture processing applies after the filter that described and described exif parameter matching degree is greater than predetermined threshold value being arranged in described N number of filter and before (M-N-1) individual filter.
Concrete, suppose that the described filter being greater than predetermined threshold value with the matching degree of described exif parameter is N0, to be then shown on interface that picture processing applies after N0 is arranged in N2 and before other filters.
Step S260: if be greater than predetermined threshold value without any the matching degree of a filter and described exif parameter in a described M filter, then described exif parameter is uploaded onto the server and obtain in server and be greater than the filter of predetermined threshold value with the matching degree of described exif parameter, to be showed on interface that described picture processing applies after the filter that described and described exif parameter matching degree is greater than predetermined threshold value is arranged in described N number of filter and before (M-N) individual filter.
Step S270: judge whether server has and issue new filter; If so, to be showed on the interface of described picture processing application after then described new filter being arranged in described N number of filter and before (M-N) individual filter.
Step S280: in user's history being applied for picture processing, the frequency of usage data upload of each filter is to server.
The filter sort method of above-mentioned picture application is by analyzing the history usage data of user, get the frequency of usage of each filter in picture processing application, and filter higher for frequency of usage is arranged in the front end of all filters, and by analyzing the exif parameter of pending picture, select to show after the filter that described frequency of usage is higher with its filter mated most, further increase the accuracy that filter recommends user, and user can also be facilitated to find its conventional filter, and then save the time that user selects filter.
Refer to Fig. 5, another aspect, the filter collator that the present embodiment provides a kind of picture to apply, comprising: picture load-on module 10, filter frequency of usage acquisition module 20, filter order module 30 and filter display module 40.
Picture load-on module 10, for loading pending picture in picture processing application.
Filter frequency of usage acquisition module 20, for obtaining user's history for the frequency of usage of each filter in picture processing application, wherein filter add up to M.
Filter order module 30, for being sorted from high in the end by the frequency used according to its history by an above-mentioned M filter, gets top n filter, wherein N<M.
Filter display module 40, for being showed in the interface of described picture processing application successively according to above-mentioned sequence by above-mentioned N number of filter.
The filter collator of above-mentioned picture application is by analyzing the history usage data of user, get the frequency of usage of each filter in picture processing application, and filter higher for frequency of usage is arranged in the front end of all filters, not only increase the accuracy that filter recommends user, and user can also be facilitated to find its conventional filter, and then save the time that user selects filter.
Refer to Fig. 6, another aspect, the filter collator that the present embodiment provides a kind of picture to apply, comprising: picture load-on module 10, filter frequency of usage acquisition module 20, filter order module 30 and filter display module 40, Exif parameter read module 50, filter choose module 60, first filter matching module 70, second filter matching module 80, judge module 90, data upload module 91 and memory module 92.
Picture load-on module 10, for loading pending picture in picture processing application.
Filter frequency of usage acquisition module 20, for obtaining user's history for the frequency of usage of each filter in picture processing application, wherein filter add up to M.
Filter order module 30, for being sorted from high in the end by the frequency used according to its history by an above-mentioned M filter, gets top n filter, wherein N<M.
Filter display module 40, for being showed in the interface of described picture processing application successively according to above-mentioned sequence by above-mentioned N number of filter.
Exif parameter read module 50, for reading the exchangeable image file exif parameter of described pending picture;
Filter chooses module 60, for choosing the filter being greater than predetermined threshold value with the matching degree of described exif parameter;
First filter matching module 70, if be not contained in described N number of filter for the filter being greater than predetermined threshold value with the matching degree of described exif parameter, to be then showed on interface that described picture processing applies after the filter that described and described exif parameter matching degree is greater than predetermined threshold value being arranged in described N number of filter and before (M-N-1) individual filter.
Second filter matching module 80, if for being greater than predetermined threshold value without any the matching degree of a filter and described exif parameter in a described M filter, then described exif parameter is uploaded onto the server and obtain in server and be greater than the filter of predetermined threshold value with the matching degree of described exif parameter, to be showed on interface that described picture processing applies after the filter that described and described exif parameter matching degree is greater than predetermined threshold value is arranged in described N number of filter and before (M-N) individual filter.
Judge module 90, issues new filter for judging whether server has;
Described filter display module 40, also for, to be showed on the interface of described picture processing application after if so, then described new filter being arranged in described N number of filter and before (M-N) individual filter.
Data upload module 91, for by user's history for the frequency of usage data upload of each filter in picture processing application to server.
Memory module 92, for storing the frequency of usage data of described user's history for each filter in picture processing application.
The filter collator of above-mentioned picture application is by analyzing the history usage data of user, get the frequency of usage of each filter in picture processing application, and filter higher for frequency of usage is arranged in the front end of all filters, and by analyzing the exif parameter of pending picture, select to show after the filter that described frequency of usage is higher with its filter mated most, further increase the accuracy that filter recommends user, and user can also be facilitated to find its conventional filter, and then save the time that user selects filter.
The above embodiment only have expressed several embodiment of the present invention, and it describes comparatively concrete and detailed, but therefore can not be interpreted as the restriction to the scope of the claims of the present invention.It should be pointed out that for the person of ordinary skill of the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (12)
1. a filter sort method for picture processing application, comprises the steps:
Pending picture is loaded in picture processing application;
Obtain the user history frequency of usage for each filter in picture processing application, wherein filter add up to M;
An above-mentioned M filter is sorted by the frequency used from high in the end according to its history, gets top n filter, wherein N<M;
Above-mentioned N number of filter is showed on the interface of described picture processing application successively according to above-mentioned sequence.
2. method according to claim 1, is characterized in that, described method also comprises:
Read the exchangeable image file exif parameter of described pending picture, choose the filter being greater than predetermined threshold value with the matching degree of described exif parameter;
If the filter being greater than predetermined threshold value with the matching degree of described exif parameter is not contained in described N number of filter, to be then showed on interface that described picture processing applies after the filter that described and described exif parameter matching degree is greater than predetermined threshold value being arranged in described N number of filter and before (M-N-1) individual filter.
3. method according to claim 2, is characterized in that, described method comprises:
If be greater than predetermined threshold value without any the matching degree of a filter and described exif parameter in a described M filter, then described exif parameter is uploaded onto the server and obtain in server and be greater than the filter of predetermined threshold value with the matching degree of described exif parameter, to be showed on interface that described picture processing applies after the filter that described and described exif parameter matching degree is greater than predetermined threshold value is arranged in described N number of filter and before (M-N) individual filter.
4. method according to claim 1, is characterized in that, described method comprises:
Judge whether server has and issue new filter;
If so, to be showed on the interface of described picture processing application after then described new filter being arranged in described N number of filter and before (M-N) individual filter.
5. method according to claim 1, is characterized in that, described method also comprises: in user's history being applied for picture processing, the frequency of usage data upload of each filter is to server.
6. method according to claim 1, is characterized in that, described user's history is stored on terminal or server for the frequency of usage data of each filter in picture processing application.
7. a filter collator for picture processing application, comprises the steps:
Picture load-on module, for loading pending picture in picture processing application;
Filter frequency of usage acquisition module, for obtaining user's history for the frequency of usage of each filter in picture processing application, wherein filter add up to M;
Filter order module, for being sorted from high in the end by the frequency used according to its history by an above-mentioned M filter, gets top n filter, wherein N<M;
Filter display module, for being showed in the interface of described picture processing application successively according to above-mentioned sequence by above-mentioned N number of filter.
8. device according to claim 7, is characterized in that, described device also comprises:
Exif parameter read module, for reading the exchangeable image file exif parameter of described pending picture;
Filter chooses module, for choosing the filter being greater than predetermined threshold value with the matching degree of described exif parameter;
First filter matching module, if be not contained in described N number of filter for the filter being greater than predetermined threshold value with the matching degree of described exif parameter, to be then showed on interface that described picture processing applies after the filter that described and described exif parameter matching degree is greater than predetermined threshold value being arranged in described N number of filter and before (M-N-1) individual filter.
9. device according to claim 8, is characterized in that, described device comprises:
Second filter matching module, if for being greater than predetermined threshold value without any the matching degree of a filter and described exif parameter in a described M filter, then described exif parameter is uploaded onto the server and obtain in server and be greater than the filter of predetermined threshold value with the matching degree of described exif parameter, to be showed on interface that described picture processing applies after the filter that described and described exif parameter matching degree is greater than predetermined threshold value is arranged in described N number of filter and before (M-N) individual filter.
10. device according to claim 7, is characterized in that, described device comprises:
Judge module, issues new filter for judging whether server has;
Described filter display module, also for, to be showed on the interface of described picture processing application after if so, then described new filter being arranged in described N number of filter and before (M-N) individual filter.
11. devices according to claim 7, is characterized in that, described device also comprises: data upload module, for by user's history for the frequency of usage data upload of each filter in picture processing application to server.
12. devices according to claim 7, is characterized in that, described device also comprises memory module, for storing the frequency of usage data of described user's history for each filter in picture processing application.
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| CN108600614A (en) * | 2018-04-02 | 2018-09-28 | 珠海格力电器股份有限公司 | A kind of image processing method and device |
| CN108600614B (en) * | 2018-04-02 | 2022-03-08 | 珠海格力电器股份有限公司 | Image processing method and device |
| CN109741283A (en) * | 2019-01-23 | 2019-05-10 | 芜湖明凯医疗器械科技有限公司 | A kind of method and apparatus for realizing smart filter |
| CN110908754A (en) * | 2019-11-06 | 2020-03-24 | 维沃移动通信有限公司 | Image display method and electronic equipment |
| CN113747240A (en) * | 2021-09-10 | 2021-12-03 | 荣耀终端有限公司 | Video processing method, apparatus, storage medium, and program product |
| CN115022696A (en) * | 2022-04-18 | 2022-09-06 | 北京有竹居网络技术有限公司 | Video preview method and device, readable medium and electronic equipment |
| CN115022696B (en) * | 2022-04-18 | 2023-12-26 | 北京有竹居网络技术有限公司 | Video preview method and device, readable medium and electronic equipment |
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