CN116541550B - Photo classification method and device for self-help photographing equipment, electronic equipment and medium - Google Patents
Photo classification method and device for self-help photographing equipment, electronic equipment and medium Download PDFInfo
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Abstract
The application provides a photo classification method, a photo classification device, an electronic device and a photo classification medium for self-help photographing equipment, which relate to the technical field of photo classification and have the technical scheme that: when the classification function is triggered, sending request information for setting confidentiality degree to the management terminal; after receiving the feedback information, acquiring user information on each photo during triggering of the classification function; calculating according to the user information on each photo to obtain the frequency information of each user in the user information; selecting a specific user, and generating a first search tag and a second search tag; classifying each photo according to the first retrieval tag and the second retrieval tag to obtain at least two photo sets, and performing confidentiality setting on the photo sets according to feedback information; and after the classification function is closed, sending notification information containing access password information of the photo album to the management terminal. The photo classification method and device for the self-help photographing equipment, the electronic equipment and the medium have the advantage of quickly searching photos.
Description
Technical Field
The application relates to the technical field of photo classification, in particular to a photo classification method and device for self-service photographing equipment, electronic equipment and media.
Background
The photo taking is a very frequent means used in daily work and life at present, along with the development of technology, various self-service photo taking devices are developed at present, and the self-service photo taking devices can be applied to various occasions, are also called intelligent photo taking boxes or intelligent photo taking pavilions, are arranged in public places with large flow of people such as streets, subway stations and the like, are convenient for users to simply and conveniently take high-definition photos or certificate photos and the like, and are widely distributed in public places such as commercial superdepartment, universities, tourist attractions, stations, airports and the like.
Specifically, the self-service photographing device generally comprises a body, and the body is provided with a camera, a light source, a display screen, an operation screen, a printer, a data processing device, a cooling fan and other components, wherein the data processing device can perform various image processing on a photographed photo, and in the prior art, the data processing device is generally only used for performing image processing on the photo such as beautifying on the photo photographed by a user, and the advantages of large space and good cooling performance of the device are not fully utilized.
The self-help photographing equipment has the characteristics of high photographing efficiency, high processing performance and the like, and can be used for various occasions.
At present, in large-scale meetings and events such as annual meeting of companies, photos are taken very frequently, and the number of the taken photos is very large, so that a specific staff is generally arranged as a photographer to meet the photo taking requirement of a participant, in the process, all photos taken by the photographer are placed in a folder, and people taking part in taking photos need to select self-contained photos from all photos, which certainly needs to consume more time and effort.
Because the current photographer needs to take a picture through holding the mobile shooting equipment, and the mobile shooting equipment is limited by the constraints of the size, the processing performance, the heat dissipation performance and the like, the efficient image processing can not be realized, the automatic classification of the shot pictures can not be performed efficiently, and the defects that after a large number of pictures are shot, a large number of pictures are manually classified one by one and time and labor are wasted are caused.
In addition, since the user needs to find his own photos among all photos, that is, the user's photos can be browsed by other users, there is also a problem of privacy security.
Improvements are needed to address the above-described issues.
Disclosure of Invention
The application aims to provide a photo classification method, device, electronic equipment and medium for self-service photographing equipment, which have the advantage of quickly searching photos under the condition of improving privacy security.
In a first aspect, the present application provides a photo classification method for self-service photographing equipment, which has the following technical scheme:
Comprising the following steps:
When the classification function is triggered, sending request information for setting confidentiality degree to the management terminal, wherein the request information comprises all passwords, part of passwords and no passwords;
After receiving feedback information made by the management terminal according to the request information, acquiring user information on each photo during triggering of the classification function;
calculating to obtain the frequency information of each user in the user information according to the user information on each photo;
Screening out a specific user according to the frequency information, and generating a first retrieval tag corresponding to and associated with the specific user and a second retrieval tag not associated with the specific user;
classifying each photo during triggering of the classification function according to the first retrieval tag and the second retrieval tag to obtain at least two photo sets, and performing security setting on the photo sets according to the feedback information;
And after the classification function is closed, sending notification information containing access password information of the photo set to the management terminal.
When the classification function is triggered, request information of confidentiality degree setting is sent to the management terminal, the management terminal can be a terminal of an activity sponsor, the management terminal determines the setting condition of passwords, including all passwords, part passwords and no passwords, then the specific user is screened out by calculating the frequency information of each user, then a first search tag associated with the specific user and a second search tag which is not associated with the specific user are generated, all photos are classified according to the first search tag and the second search tag, after the classification is finished, the classified photos are subjected to password setting according to the feedback information of the management terminal, wherein the password setting condition comprises all passwords, part passwords and no passwords, the part passwords can be specific to the photos classified according to the first search tag, namely, the photos comprise specific users, generally, the specific users are important characters, the security privacy of the specific users is relatively more important, therefore, after all photos are classified, people can quickly apply for the photos according to the first search tag and the second search tag, the photos can be quickly provided with the security in the privacy-oriented condition, and the security-oriented photo is quickly provided by the terminal.
Further, in the present application, the step of screening out the specific user according to the frequency information includes:
And screening the user with the frequency information larger than a preset value from the user information as the specific user.
The mode of screening the specific users is simple to calculate, and as long as the frequency information is larger than the preset value, the frequency information is used as the specific users, complex calculation is not needed, and calculation resources can be saved.
Further, in the present application, the step of screening out the specific user according to the frequency information includes:
sequencing all users in the user information from high to low according to the frequency information to obtain a sequencing result;
and screening the specific users according to the sorting result.
By the method, the user with the highest occurrence frequency information can be screened as the specific user, the number of the specific users can be effectively controlled, and the aim that the user can not effectively search and find own photos due to excessive occurrence of the specific user is avoided.
Further, in the present application, the step of screening the specific user according to the sorting result includes:
acquiring first quantity information of photos taken during triggering of a classification function;
determining second quantity information of the specific user to be screened according to the first quantity information;
And screening the specific users corresponding to the number of the second number of information according to the sorting result.
Further, in the present application, the step of sorting all users in the user information from high to low according to the frequency information to obtain a sorting result includes:
station information of all users in the user information in the photos is obtained;
And sequencing all users in the user information from high to low according to the station information and the frequency information to obtain the sequencing result.
Further, in the present application, the step of sorting all users in the user information from high to low according to the station information and the frequency information to obtain the sorting result includes:
and when the frequency information is equal, sequencing the users according to the station information to obtain the sequencing result, wherein the closer the station information is to the middle position, the more the sequencing result is to the front.
Further, in the present application, the calculation formula for sorting all users in the user information from high to low according to the station information and the frequency information to obtain the sorting result is as follows:
；
the ranking result is obtained by ranking the ranking scores of the users from high to low; Is a frequency coefficient; Is the frequency information; is a position coefficient; The closer to the intermediate position, the higher the transverse position score is; As the longitudinal position score, the closer to the front row, the higher the longitudinal position score; is the total number of all photos the user is located in.
In a second aspect, the present application further provides a photo classifying device of a self-service photographing apparatus, including:
The request module is used for sending request information of confidentiality degree setting to the management terminal when the classification function is triggered, wherein the request information comprises all passwords, part of passwords and no passwords;
The acquisition module is used for acquiring user information on each photo in the triggering period of the classification function after receiving feedback information made by the management terminal according to the request information;
The computing module is used for computing and obtaining the frequency information of each user in the user information according to the user information on each photo;
the screening module is used for screening out specific users according to the frequency information and generating a first retrieval tag corresponding to and associated with the specific users and a second retrieval tag not associated with the specific users;
The classification module is used for classifying each photo during the triggering period of the classification function according to the first search tag and the second search tag to obtain at least two photo sets, and performing security setting on the photo sets according to the feedback information;
And the sending module is used for sending notification information containing the access password information of the photo set to the management terminal after the classification function is closed.
In a third aspect, the application also provides an electronic device comprising a processor and a memory storing computer readable instructions which, when executed by the processor, perform the steps of the above method.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above method.
According to the photo classifying method, device, electronic equipment and storage medium, when the classifying function is triggered, request information for setting confidentiality is sent to the management terminal, the management terminal can be a terminal of an activity host, the management terminal determines the setting condition of the passwords, including all the passwords, part of the passwords and no passwords, then the specific users are screened out through calculating the frequency information of each user, then a first search tag associated with the specific users and a second search tag which is not associated with the specific users are generated, all photos are classified according to the first search tag and the second search tag, after the classification is finished, the classified photos are subjected to password setting according to the feedback information of the management terminal, wherein all the passwords, part of the passwords and no passwords are included, the part of the passwords can be specific to the photos classified according to the first search tag, namely, the photos contain specific users, generally the specific users are important persons, and the security privacy of the specific users are relatively more important, therefore all the users can be prevented from browsing through the set mode, all the photos can be quickly browsed, the photos can be quickly searched for the photos according to the first search tag, the privacy is quickly provided, the photos can be quickly searched for by the user, and the user can be quickly searched for the photos according to the security tag, and the user is in the condition of the application, and the photos can be quickly provided by the user, and the user is in the condition of the terminal.
Drawings
Fig. 1 is a flowchart of a photo classification method provided by the application.
Fig. 2 is a schematic structural diagram of a photo classifying apparatus according to the present application.
Fig. 3 is a schematic structural diagram of an electronic device according to the present application.
In the figure: 210. a request module; 220. an acquisition module; 230. a computing module; 240. a screening module; 250. a classification module; 260. a transmitting module; 310. a processor; 320. a memory.
Detailed Description
The following description of the embodiments of the present application will be made more apparent, and the embodiments described in detail, but are not necessarily limited to the embodiments of the application. The components of the present application, which are generally described and illustrated in the figures herein, may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by a person skilled in the art without making any inventive effort, are intended to be within the scope of the present application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
In a large-scale meeting or activity, a photographer is usually required to hold a mobile photographing device to photograph various photos, the photographed photos are all in the same folder, later-stage manual selection and classification are required, and the required calculation amount for photographing the photos is particularly large, so that the performance requirement on a processor is high, and the conventional mobile photographing device cannot realize classification of the photos through additional algorithm processing.
With the rise of self-service photographing equipment, automatic classification of pictures is possible by using high calculation amount, the self-service photographing equipment is large in size, a plurality of processors can be arranged, and the heat dissipation performance of the self-service photographing equipment is good, so that the calculation processing of the high calculation amount can be completed, in addition, the self-service photographing equipment is used for connecting a computer with a photographing device, photographing is controlled by software, then photographing effect is displayed on a display screen in real time, and with the improvement of pixels of the self-service photographing equipment, the photographing effect obtained by a user is greatly guaranteed. The self-service photographing device can replace a special photographer in most occasions, can liberate manpower, and can have higher photographing efficiency.
The scheme of the application can be based on the self-help photographing equipment, and after the photographing of the self-help photographing equipment is completed, the photographed photos can be automatically classified, so that a person participating in photographing can find out the photos of the person relatively quickly, and particularly, the self-help photographing equipment can be arranged in various places of activities such as hotels, so that the person can photograph through the automatic photographing equipment in the places of activities.
Referring to fig. 1, the application provides a photo classification method for self-service photographing equipment, which specifically comprises the following steps:
S110, when the classification function is triggered, sending request information for setting confidentiality degree to the management terminal, wherein the request information comprises all passwords, part of passwords and no passwords;
S120, after receiving feedback information made by the management terminal according to the request information, acquiring user information on each photo during triggering of the classification function;
s130, calculating to obtain the frequency information of each user in the user information according to the user information on each photo;
the user information may refer to a portrait of a user, and each user may be distinguished according to the portrait of the user, so as to obtain frequency information of occurrence of each user.
S140, screening out a specific user according to the frequency information, and generating a first retrieval tag corresponding to the specific user and a second retrieval tag not related to the specific user;
S150, classifying each photo during triggering of the classification function according to the first retrieval tag and the second retrieval tag to obtain at least two photo sets, and performing confidentiality setting on the photo sets according to feedback information;
and S160, after the classification function is closed, sending notification information containing access password information of the photo set to the management terminal.
The scheme of the application can be realized based on the self-service photographing equipment, wherein the classification function can be started by the management terminal, the management terminal is communicated with the self-service photographing equipment, and after the classification function is started, the user information on each photo is acquired until the classification function is closed, namely, the user information on each photo in the triggering period of the classification function is acquired. When the classification function is turned off, the classification function may be triggered by other new management terminals. Specifically, the user can download the management software on the smart phone, and the smart phone with the management software is used as the management terminal.
The frequency information refers to the number of times each user appears, for example, if user a takes 3 photos altogether, the frequency information is 3 for user a. Screening out a specific user according to the frequency information mainly means screening out a user with higher frequency information as the specific user.
After a specific user is selected, a first search tag and a second search tag are generated, and photos are classified according to the first search tag and the second search tag, and therefore, the purpose of the method is that users with relatively high photographing times are selected as the specific users through frequency information, and because the photographing times are relatively high, the users belong to relatively important users, the users can be used as the specific users, the number of the specific users can be one or a plurality of the specific users, the number of the first search tags can be one or a plurality of the first search tags, the photos can be classified according to the corresponding first search tag and second search tag after the relatively important users are selected as the specific users, photos containing the specific users can be distinguished from photos not containing the specific users, and at the moment, other people taking photos can be used as other people taking photos according to whether the photos are combined with the specific users or not, and accordingly, the photos of the users can be searched by using the first search tag or the second search tag.
The classifying the photos by using the first search tag and the second search tag may specifically be establishing corresponding folders, and placing the photos in different folders correspondingly. In addition, the photos can be classified by naming the photos, and at least a first search tag or a second search tag exists in the naming of the photos so as to facilitate quick search.
Specifically, assuming that a total of 30 persons take photos and a total of 50 photos are taken in an activity, wherein a total of 15 photos are taken by a user a and a total of 10 photos are taken by a user b, 7 photos are taken by a total of 7 photos by a user c, the number of photos taken by other users is less than 7, corresponding frequency information can be obtained according to the number of photos taken by each user, wherein the frequency information of the user a is 15, the frequency information of the user b is 10, the frequency information of the user c is 7, the user a, the user b and the user c are screened out according to the frequency information as specific users, a first search tag 001 corresponding to the user a, a first search tag 002 corresponding to the user b and a second search tag 004 corresponding to the user c are generated, and the photos of the other users which are not related to the user a, the user b and the user c are all taken by the total of 7 photos can be established, namely, the 001 folder, the 002 folder, the folder 003 folder and the folder are obtained, the photos of the total of 50 pieces are classified according to the first search tag and the second search tag 7, the photos are put into the folder 002 to the photos of the folder that the user b appear, and the photos of the user b are put into the folder 002 to the folder that the photos of the user b appear. That is, 15 photos are included in the 001 folder, 10 photos are included in the 002 folder, 7 photos are included in the 003 folder, and 18 photos are included in the 004 folder, assuming that no group photo is taken among the user a, the user b, and the user c.
At this time, the person participating in photographing can search according to the corresponding first search tag 001, 002, 003 and second search tag 004 according to whether he or she is in a time with the specific user a, the specific user b and the specific user c, so that his or her own photograph can be found more quickly. That is, when the user d searches for his own photo, if the user d and the specific user a take a photo together, the user d can search through the first search tag 001, so as to quickly find his own photo, if the user d does not take a photo together with the specific user a, the specific user b and the specific user c, the user d can search through the second search tag 004, so as to quickly find his own photo, and the photos are classified through the first search tag and the second search tag, compared with the prior art, the photo sorting device can effectively save time and effort without selecting his own photo from all photos, but selecting photos belonging to his own photo from the specific classification.
The method provided by the application is mainly realized based on self-service photographing equipment, and is used for automatically classifying all photos at an activity site, specifically generating a two-dimensional code, enabling a user to enter a classified interface by scanning the two-dimensional code, and then searching and searching the photos at the interface, so that the user at the activity site can quickly find the photos belonging to the user.
In addition, in the method provided by the application, the method further comprises the following steps: the corresponding relation between the specific user and the first retrieval tag is generated, and the corresponding relation can be specifically that the head portrait of the specific user is associated with the corresponding first retrieval tag and displayed on the classified interface, so that the user can conveniently search the photo belonging to the user through the first retrieval tag or the second retrieval tag.
In addition, after the two-dimensional code is scanned to enter the classification interface, if a user can browse and store all photos at will, the security privacy of the photos of the user is brought with a problem.
Therefore, in the scheme of the application, when the classification function is triggered, request information for setting the confidentiality degree is sent to the management terminal, the request information comprises all the set passwords, part of the set passwords and no set passwords, and after the classification of the images, the confidentiality setting is carried out according to the feedback information of the management terminal, so that the safety privacy is improved to a certain extent.
Specifically, when the sorting function is triggered, request information is sent to the management terminal, where the request information is to request whether the sorted photos need to be set with passwords from the management terminal, where the setting manners of the passwords may include setting all passwords, setting part of the passwords and not setting passwords, where all the passwords are set with passwords for the sorted photos, for example, in some embodiments described above, after the photos are sorted, four folders, namely, 001 folder, 002 folder, 003 folder and 004 folder are generated, and when all the passwords are set, all the passwords may be set for 001 folder, 002 folder, 003 folder and 004 folder, that is, the user needs to access 001 folder, 002 folder, 003 folder and 004 folder through the passwords.
Wherein, one photo set is obtained according to the first search label classification, another photo set is obtained according to the second search label, taking the above embodiment as an example, the 001 folder, the 002 folder and the 003 folder are one photo set, and the 004 folder is another photo set.
When the password is set partially, the password can be set only for the 001 folder, the 002 folder and the 003 folder, and since the 001 folder, the 002 folder and the 003 folder are correspondingly classified by the first retrieval tags 001, 002 and 003, the specific user is corresponding to the specific user, and the specific user is high in photographing frequency and often serves as a more important person, so that the security privacy is relatively more important, the photo needs to be prevented from being abused, and the security privacy of the specific person can be better protected by setting the password for the photo classified by the first retrieval tag.
When the password is not set, after a user enters the classification interface by scanning the two-dimensional code, the user can randomly enter the 001 folder, the 002 folder, the 003 folder and the 004 folder, and the user can quickly find out the photo through the corresponding retrieval tag.
The passwords can be randomly generated and then sent to the management terminal, and when a user searches that the photo of the user is in a folder needing the passwords according to the corresponding search tag, the user can apply for obtaining the passwords from the management terminal, so that the photo of the user is obtained.
When the user takes different photos, the different photos can respectively correspond to the first retrieval tag and the second retrieval tag.
In addition, by identifying the user information on each photo, the big photo can be classified individually by screening the number of users on the photo, for example, when the number of users on the photo reaches more than ninety percent of the total number of users, the photo can be classified as a big photo, which can be classified individually, for example, the above embodiment is that the big photo is not placed in the 001 folder, the 002 folder, the 003 folder and the 004 folder, but is placed in the folder.
In summary, the present application sends request information of confidentiality setting to the management terminal when the classification function is triggered, the management terminal may be a terminal of an activity host, the management terminal determines the setting condition of the password, including all the set passwords, part of the set passwords and no set passwords, then, the specific user is screened out by calculating the frequency information of each user occurrence, then, a first search tag associated with the specific user and a second search tag not associated with the specific user are generated, all the photos are classified according to the first search tag and the second search tag, after the classification is finished, the classified photos are set according to the feedback information of the management terminal, wherein all the set passwords, part of the set passwords and no set passwords are included, and part of the set passwords can be specific to the photos classified according to the first search tag, namely, the photos include specific users, generally, the specific users are important characters, and the security privacy of the specific users is relatively more important.
Further, in some embodiments, the step of screening out the specific user according to the frequency information includes:
And screening the users with the frequency information larger than the preset value from the user information as specific users.
For example, the preset value may be fixedly set to 3, that is, as a specific user as long as the number of taken photos is greater than 3, and may be set according to actual needs.
The mode of screening the specific users is simple to calculate, and as long as the frequency information is larger than the preset value, the frequency information is used as the specific users, complex calculation is not needed, and calculation resources can be saved.
Further, in some embodiments, the step of screening out the specific user according to the frequency information includes:
Sequencing all users in the user information from high to low according to the frequency information to obtain a sequencing result;
And screening out specific users according to the sorting result.
In some embodiments described above, it is proposed to screen the specific users according to the preset value, which is simple to calculate, but has poor flexibility, if the number of the specific users is too large, it is also unfavorable for the subsequent users to search for their own photos, for example, if the frequency information of all users is greater than the preset value, all users will be regarded as specific users, and the users will need to spend a great deal of effort to find their own corresponding search tags from the specific users, which is unfavorable for quick search for their own photos.
In this regard, the present application provides another way to screen specific users, that is, sorting results are obtained by sorting from high to low according to frequency information, and then specific users are screened according to the sorting results, for example, ten percent of users in front of the sorting results may be selected as specific users, and five users in front of the sorting results may also be selected as specific users.
By the method, the user with the highest occurrence frequency information can be screened as the specific user, the number of the specific users can be effectively controlled, and the aim that the user can not effectively search and find own photos due to excessive occurrence of the specific user is avoided.
Further, in some embodiments, the step of screening the specific user according to the ranking result includes:
acquiring first quantity information of photos taken during triggering of a classification function;
determining second quantity information of specific users to be screened according to the first quantity information;
and screening out specific users corresponding to the number of the second number of information according to the sorting result.
In some embodiments, some ways of screening specific users are provided, if the number of specific users screened is too large, it is not beneficial for the users to quickly search their own photos, and similarly, if the number of specific users screened is too small, it is also not beneficial for the users to quickly search their own photos, for example, 100 photos are taken in total, only one photo corresponding to the specific user is screened, and then there are 90 photos corresponding to the second search tag, that is, for the users not in contact with the specific user, it is required to select photos belonging to the users from 90 photos, which also consumes more time and effort, and is not beneficial for quick search of photos.
In this regard, the present application proposes that the second quantity information of the specific user to be screened is determined according to the first quantity information, where the first quantity information is the number of taken photos, and the second quantity information is the screening number of the specific user, and generally, the larger the first quantity information is, the larger the second quantity information is.
Specifically, a correspondence relationship between the first quantity information and the second quantity information may be preset, for example, when the first quantity information is less than or equal to 50, the second quantity information is 3, when the first quantity information is greater than 50 and less than or equal to 100, the second quantity information is 6, and so on, the second quantity information may be determined according to the first quantity information, so that the number of specific users may not be too large or too small, and it is ensured that the users may quickly search and find their own photos.
Further, in some embodiments, the step of sorting all users in the user information from high to low according to the frequency information to obtain a sorting result includes:
Station information of all users in the user information in the photos is obtained;
And sequencing all users in the user information from high to low according to the station information and the frequency information to obtain a sequencing result.
The application has the core concept that users with more photographing times are screened out through the frequency information to serve as specific users, and then all photos are classified through the specific users, and as the specific users with high frequency information correspond to more photos, a part of all photos with larger size can be separated, so that the users can search and inquire according to the situation of the users, and unnecessary time and effort are reduced. In the process, for a specific user, the method and the device are easiest to search and inquire own photos, the specific user is selected through frequency information, the photos are classified through the specific user, a larger part of the photos can be separated from all the photos, photos of important users can be searched and inquired more quickly, in general, users with a large number of photos can be important users, because the important users often need to be taken with different people, photos of the important users are often published when the event summarization and publics are carried out, and therefore, the photos of the important users can be searched and inquired quickly, and some working time in the later period can be saved.
However, the important users cannot be judged by only depending on the frequency information, and a large number of other users may take a large number of photos, so in the scheme of the application, it is also proposed that all users in the user information are ranked according to the station position information and the frequency information from high to low to obtain a ranking result, because for the important users, the station positions in the shooting process are often more attractive, and are generally positioned in the middle and in the front.
In the scheme of the application, the specific users are not only screened by the frequency information, but also screened according to the station information, and important users are taken as the specific users, so that the time of later works can be saved.
Specifically, in some embodiments, the step of sorting all users in the user information from high to low according to the station information and the frequency information to obtain a sorting result includes:
When the frequency information is equal, the users are ranked according to the station information to obtain a ranking result, and the closer the station information is to the middle position, the more the ranking result is.
In some embodiments, it is proposed that all users are ranked according to the frequency information from high to low to obtain a ranking result, in this process, the frequency information may be equal, for example, a total of 3 specific users need to be screened out, where the ranking result is that the frequency information of user a is 10, the frequency information of user b is 8, the frequency information of user c is 5, and the frequency information of user d is 5, where, because the frequency information of user c and user d are the same, the screened specific users are 3, and how to select user c and user d to become specific users becomes a problem.
According to the scheme provided by the application, the station position information of the user c and the user d in the respective photos can be obtained, and the closer the station position is to the middle position, the earlier the sequencing result is, and the user with the earlier sequencing result is selected as the specific user.
If the station positions of the user c and the user d in different photos are not identical, the distinction can be performed by calculating an average score, that is, each station position corresponds to a score, and since the number of shots is the same, the average score can be calculated, and the user with high average score is taken as the specific user.
Through the scheme, important users can be effectively selected as specific users, so that the time of later works is saved.
Further, in some embodiments, the calculation formula for sorting all users in the user information from high to low according to the station information and the frequency information to obtain the sorting result is as follows:
；
the ranking score of the user is ranked from high to low to obtain a ranking result; Is a frequency coefficient; Is frequency information; is a position coefficient; The closer to the intermediate position, the higher the transverse position score is; As the longitudinal position score, the closer to the front row, the higher the longitudinal position score; is the total number of all photos the user is located in.
In some embodiments, it is proposed that important users should be preferentially regarded as specific users when screening specific users, and for this purpose, the present application provides a specific calculation formula of the ranking result, in which weights of frequency information and station position information can be set through frequency coefficients and position coefficients, specifically,It may be set to 0.6,It may be set to 0.4, and in consideration of the station information, the station information further includes a lateral position and a longitudinal position, and in general, the closer the lateral position is to the middle, the higher the lateral position score, the closer the longitudinal position is to the front, and the higher the longitudinal position score. In addition, in the calculation formula, the total number of all the photos of the user is considered, the total number of all the photos of the user is the total number of all the photos of the user, for example, the total number of all the photos including the user in all the photos taken by the user, for example, the user a takes three photos, the first photo has 10 persons, the second photo has 5 persons, and the third photo has 3 persons, the total number of all the photos of the user a has 10+5+3=18, and in general, the higher the total number of all the photos of the user is, the higher the possibility of the user being an important user is, because the important user tends to take a photo with more persons.
Through the calculation of the formula, specific users can be reasonably screened, wherein the frequency coefficient and the position coefficient can be set according to actual needs. The higher the frequency coefficient is set, the more the screening of the specific user is represented, namely, the more the number of the pictures is, the more the pictures are easy to be specific, when all the pictures are classified by using the corresponding first search tag and second search tag, more pictures can be separated from all the pictures, and the user can search and inquire according to the situation of the user, so that the user can quickly find the pictures of the user. If the position coefficient is set higher, the screening of the specific user is represented to pay more attention to whether the specific user is an important user, and the screening of the important user as the specific user can save the time of some later works.
In a second aspect, referring to fig. 2, the present application further provides a photo classifying device of a self-service photographing apparatus, including:
a request module 210, configured to send request information for setting a security degree to the management terminal when the classification function is triggered, where the request information includes all the set passwords, part of the set passwords, and no set passwords;
the obtaining module 220 is configured to obtain user information on each photo during the triggering period of the classification function after receiving feedback information made by the management terminal according to the request information;
a calculating module 230, configured to calculate, according to the user information on each photo, frequency information of occurrence of each user in the user information;
The filtering module 240 is configured to filter out a specific user according to the frequency information, and generate a first search tag corresponding to and associated with the specific user and a second search tag not associated with the specific user;
The classification module 250 is configured to classify each photo during the triggering period of the classification function according to the first search tag and the second search tag, obtain at least two photo sets, and perform security setting on the photo sets according to the feedback information;
and the sending module 260 is configured to send notification information including access password information of the photo album to the management terminal after the classification function is turned off.
In other preferred embodiments, a photo classifying apparatus provided by the present application may perform any one of the steps of the photo classifying method described above.
When the classification function is triggered, request information of confidentiality degree setting is sent to the management terminal, the management terminal can be a terminal of an activity sponsor, the management terminal determines the setting condition of passwords, including all passwords, part passwords and no passwords, then the specific user is screened out by calculating the frequency information of each user, then a first search tag associated with the specific user and a second search tag which is not associated with the specific user are generated, all photos are classified according to the first search tag and the second search tag, after the classification is finished, the classified photos are subjected to password setting according to the feedback information of the management terminal, wherein the password setting condition comprises all passwords, part passwords and no passwords, the part passwords can be specific to the photos classified according to the first search tag, namely, the photos comprise specific users, generally, the specific users are important characters, the security privacy of the specific users is relatively more important, therefore, after all photos are classified, people can quickly apply for the photos according to the first search tag and the second search tag, the photos can be quickly provided with the security in the privacy-oriented condition, and the security-oriented photo is quickly provided by the terminal.
In a third aspect, referring to fig. 3, the present application also provides an electronic device comprising a processor 310 and a memory 320, the memory 320 storing computer readable instructions which, when executed by the processor 310, perform the steps of the above method.
Through the foregoing, the processor 310 and the memory 320 are interconnected and communicate with each other through a communication bus and/or other form of connection mechanism (not shown), the memory 320 storing computer readable instructions executable by the processor 310, which when executed by the electronic device, the processor 310 executes the computer readable instructions to perform the method in any of the alternative implementations of the foregoing embodiments to perform the following functions: when the classification function is triggered, sending request information for setting confidentiality degree to the management terminal, wherein the request information comprises all passwords, part of passwords and no passwords; after receiving feedback information made by the management terminal according to the request information, acquiring user information on each photo during triggering of the classification function; calculating according to the user information on each photo to obtain the frequency information of each user in the user information; screening out a specific user according to the frequency information, and generating a first retrieval tag corresponding to and associated with the specific user and a second retrieval tag not associated with the specific user; classifying each photo during triggering of the classification function according to the first search tag and the second search tag to obtain at least two photo sets, and performing confidentiality setting on the photo sets according to feedback information; and after the classification function is closed, sending notification information containing access password information of the photo album to the management terminal.
In a fourth aspect, the application also provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the above method.
By the above technical solution, the computer program, when executed by the processor, performs the method in any of the alternative implementations of the above embodiments to implement the following functions: when the classification function is triggered, sending request information for setting confidentiality degree to the management terminal, wherein the request information comprises all passwords, part of passwords and no passwords; after receiving feedback information made by the management terminal according to the request information, acquiring user information on each photo during triggering of the classification function; calculating according to the user information on each photo to obtain the frequency information of each user in the user information; screening out a specific user according to the frequency information, and generating a first retrieval tag corresponding to and associated with the specific user and a second retrieval tag not associated with the specific user; classifying each photo during triggering of the classification function according to the first search tag and the second search tag to obtain at least two photo sets, and performing confidentiality setting on the photo sets according to feedback information; and after the classification function is closed, sending notification information containing access password information of the photo album to the management terminal.
The computer readable storage medium may be implemented by any type or combination of volatile or non-volatile Memory devices, such as static random access Memory (Static Random Access Memory, SRAM for short), electrically erasable Programmable Read-Only Memory (ELECTRICALLY ERASABLE PROGRAMMABLE READ-Only Memory, EEPROM for short), erasable Programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM for short), programmable Read-Only Memory (PROM for short), read-Only Memory (ROM for short), magnetic Memory, flash Memory, magnetic disk, or optical disk.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. The above-described apparatus embodiments are merely illustrative, for example, the division of the units is merely a logical function division, and there may be other manners of division in actual implementation, and for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be through some communication interface, device or unit indirect coupling or communication connection, which may be in electrical, mechanical or other form.
Further, the units described as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
Furthermore, functional modules in various embodiments of the present application may be integrated together to form a single portion, or each module may exist alone, or two or more modules may be integrated to form a single portion.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and variations will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. The self-help photographing equipment photo classification method is based on the self-help photographing equipment, and after the self-help photographing equipment finishes photographing, the photographed photos are automatically classified, so that people participating in photographing can quickly find out the photos, and the method is characterized by comprising the following steps:
When the classification function is triggered, sending request information for setting confidentiality degree to the management terminal, wherein the request information comprises all passwords, part of passwords and no passwords;
after receiving feedback information made by the management terminal according to the request information, acquiring user information on each photo in a classification function triggering period, starting the classification function by the management terminal, communicating the management terminal with the self-service photographing equipment, acquiring the user information on each photo after starting the classification function until the classification function is closed, and triggering the classification function by other new management terminals after closing the classification function;
calculating to obtain the frequency information of each user in the user information according to the user information on each photo;
Screening out a specific user according to the frequency information, and generating a first retrieval tag corresponding to and associated with the specific user and a second retrieval tag not associated with the specific user;
Classifying each photo during the triggering period of the classification function according to the first search tag and the second search tag to obtain at least two photo sets, and performing security setting on the photo sets according to the feedback information, so that other persons taking photos can search by using the first search tag or the second search tag according to whether the persons take photos or not according to the photos with the specific user, a two-dimensional code is specifically generated, the user can enter a classified interface through scanning the two-dimensional code, then search for photos belonging to the user at the interface, and the method further comprises the steps of generating a relationship between the specific user and the first search tag, wherein the correspondence is specifically that the head portraits of the specific user are related with the corresponding first search tag and are displayed on the classified interface, so that the user can conveniently search for photos belonging to the user through the first search tag or the second search tag;
And after the classification function is closed, sending notification information containing access password information of the photo set to the management terminal.
2. The method for classifying photos of self-service photographing equipment according to claim 1, wherein said step of screening out specific users according to said frequency information comprises:
And screening the user with the frequency information larger than a preset value from the user information as the specific user.
3. The method for classifying photos of self-service photographing equipment according to claim 1, wherein said step of screening out specific users according to said frequency information comprises:
sequencing all users in the user information from high to low according to the frequency information to obtain a sequencing result;
and screening the specific users according to the sorting result.
4. A method of classifying photographs of a self-service photographing apparatus according to claim 3, wherein the step of screening out the specific user according to the result of the sorting comprises:
acquiring first quantity information of photos taken during triggering of a classification function;
determining second quantity information of the specific user to be screened according to the first quantity information;
And screening the specific users corresponding to the number of the second number of information according to the sorting result.
5. A method for classifying photos of self-service photographing equipment according to claim 3, wherein said step of sorting all users in said user information from high to low according to said frequency information to obtain a sorting result comprises:
station information of all users in the user information in the photos is obtained;
And sequencing all users in the user information from high to low according to the station information and the frequency information to obtain the sequencing result.
6. The method for classifying photos of self-service photographing equipment according to claim 5, wherein the step of sorting all users in the user information from high to low according to the station information and the frequency information to obtain the sorting result comprises:
and when the frequency information is equal, sequencing the users according to the station information to obtain the sequencing result, wherein the closer the station information is to the middle position, the more the sequencing result is to the front.
7. The method for classifying photos of self-service photographing equipment according to claim 5, wherein the calculation formula for obtaining the ranking result by ranking all users in the user information from high to low according to the station information and the frequency information is as follows:
；
the ranking result is obtained by ranking the ranking scores of the users from high to low; Is a frequency coefficient; Is the frequency information; is a position coefficient; The closer to the intermediate position, the higher the transverse position score is; As the longitudinal position score, the closer to the front row, the higher the longitudinal position score; is the total number of all photos the user is located in.
8. The utility model provides a self-service equipment photo sorter that shoots, based on self-service equipment of shooing, after self-service equipment of shooing is accomplished, carries out automatic classification to the photo of shooing, makes the people who participates in shooting find own photo, its characterized in that includes:
The request module is used for sending request information of confidentiality degree setting to the management terminal when the classification function is triggered, wherein the request information comprises all passwords, part of passwords and no passwords;
The acquiring module is used for acquiring user information on each photo in the triggering period of the classifying function after receiving feedback information made by the managing terminal according to the request information, the classifying function is started by the managing terminal, the managing terminal is communicated with the self-service photographing equipment, the user information on each photo is acquired after the classifying function is started until the classifying function is closed, and the classifying function is triggered by other new managing terminals after the classifying function is closed;
The computing module is used for computing and obtaining the frequency information of each user in the user information according to the user information on each photo;
the screening module is used for screening out specific users according to the frequency information and generating a first retrieval tag corresponding to and associated with the specific users and a second retrieval tag not associated with the specific users;
The classification module is used for classifying each photo during the triggering period of the classification function according to the first search tag and the second search tag to obtain at least two photo sets, and carrying out security setting on the photo sets according to the feedback information, so that other persons taking photos can search by using the first search tag or the second search tag according to whether the persons take photos are in a group with a specific user or not, a two-dimensional code is specifically generated, the user can enter a classified interface by scanning the two-dimensional code, then search for the photo belonging to the user at the interface, and the classification module further comprises the steps of generating a relationship between the specific user and the first search tag, wherein the corresponding relationship is specifically that the head portrait of the specific user is associated with the corresponding first search tag and is displayed on the classified interface, so that the user can conveniently search for the photo belonging to the user through the first search tag or the second search tag;
And the sending module is used for sending notification information containing the access password information of the photo set to the management terminal after the classification function is closed.
9. An electronic device comprising a processor and a memory storing computer readable instructions which, when executed by the processor, perform the steps of the method of any of claims 1 to 7.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, runs the steps of the method according to any one of claims 1 to 7.
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