CN111159113A - Portable digital photographing equipment system and photo screening method - Google Patents
Portable digital photographing equipment system and photo screening method Download PDFInfo
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Abstract
The embodiment of the invention discloses a portable digital photographing equipment system and a photo screening method, wherein the portable digital photographing equipment system comprises a picture acquisition module, a picture analysis module, a recovery deletion module and a picture classification module which are arranged in an APP; the picture acquisition module: forming a photo set from a picture shot by the digital equipment imported with the APP, and sending the photo set to a picture analysis module; the picture analysis module: carrying out detail feature matching on the received pictures in the photo set, forming a photo set to be processed by the pictures in the photo set which are matched with the detail features, and sending the photo set to a recovery and deletion module; the method and the device can automatically delete useless photos with poor quality such as fuzzy photos, unfocused photos and the like, and enable the user to quickly inquire related photos through photo classification according to searched photo contents by sequencing the shot photos and carrying out multi-stage classification for many times, thereby greatly reducing the time for searching the photos for the user.
Description
Technical Field
The embodiment of the invention relates to the technical field of photographing equipment, in particular to a portable digital photographing equipment system and a photo screening method.
Background
The digital photographing device comprises a digital camera, a smart phone and the like, the digital photographing device converts optical images into electronic data by using an electronic sensor and stores the electronic data in the device, photos can be seen immediately after photographing, and the portable digital photographing device is the digital photographing device which is convenient to carry.
The quality of photos shot by a digital shooting device can be represented by different differences according to personal levels and different shooting conditions, part of the photos are fuzzy, and some photos are overexposed, and the storage space occupied by a single shot of photos is larger and larger along with the better performance and pixels of the digital shooting device, so that useless photos occupy more space, and secondly, along with the increasing number of photos in the digital shooting device, a user wants to find one photo which is difficult to look through and look over only one photo, and needs to spend a lot of time.
Disclosure of Invention
Therefore, the embodiment of the invention provides a portable digital photographing device system and a photo screening method, and solves the problems that the conventional digital photographing device cannot automatically clean photos with poor quality and cannot quickly find related photos when the number of the photos is large.
In order to achieve the above object, an embodiment of the present invention provides the following:
a portable digital photographing equipment system comprises a picture acquisition module, a picture analysis module, a recovery deletion module and a picture classification module which are built in an APP;
the picture acquisition module: forming a photo set from a picture shot by the digital equipment imported with the APP, and sending the photo set to a picture analysis module;
the picture analysis module: carrying out detail feature matching on the received pictures in the photo set, forming a photo set to be processed by the pictures in the photo set which are matched with the detail features, and sending the photo set to a recovery and deletion module;
a recovery deleting module: deleting the photo set to be processed received from the image analysis module;
the picture classifying module: and moving the photos in the photo sets after the detail characteristic matching in the photo analysis module is completed into the folders in the photo classification module for sequencing, classifying the sequenced photos according to the content of the photos to form a plurality of photo sets, and moving the photo sets into corresponding newly-built folders below the folders.
As a preferred scheme of the present invention, the recycling deletion module includes a temporary storage module for storing a part of the pictures matching the detail features and a deletion module for deleting all the pictures matching the detail features.
As a preferable scheme of the invention, the detail feature matches with a feature module located in the picture analysis module, and the item content of the detail feature matching comprises picture blurring, unfocusing, light shading and exposure.
As a preferable scheme of the invention, the picture classifying module comprises a searching module which can search relevant pictures by inputting classifying keywords.
A photo screening method of portable digital photographing equipment comprises the following steps:
s100, importing pictures shot by digital equipment into a travel picture set by using a picture acquisition module built in an APP (application), and sending the picture set to a picture analysis module;
s200, the picture analysis module performs detail feature matching on the exposure, the blurring or not, the focusing or not and the light intensity of the picture, forms a photo set to be deleted according to the completely matched detail feature matching, sends the photo set to be deleted to the deletion module for deletion, and forms a temporary storage photo set according to the partially matched detail feature matching, and sends the temporary storage photo set to the temporary storage module for storage;
s300, the picture classifying module utilizes a bubble sorting algorithm and an image recognition algorithm to sort the pictures in the picture set on the picture analyzing module according to time, classifies the pictures into two types of human beings and scenery according to the contents of the pictures to form a new picture set, moves the new picture set into a corresponding folder newly built in a storage unit on the picture classifying module, and names the files.
As a preferred scheme of the invention, the photos stored in the temporary storage module are sorted according to time sequence by using a bubble sorting algorithm, the photos stored in the temporary storage module can be automatically deleted after seven days, a user manually selects to delete or restore the photos to a photo set of the image analysis module, if the storage space of the temporary storage module is insufficient, part of the photos can be automatically sent to the deletion module to be deleted according to the time sequence of the storage of the photos, and the cleaned storage space is used for receiving and storing new photos.
As a preferred scheme of the invention, after the classification of the photos in the photo set is finished, a user can input a classification keyword in a search module built in the photo classification module to search related photos, the searched result is displayed as a storage path of the photos, the user can directly open the corresponding photos through the displayed storage path, and the classification keyword input by the search can be time or photo content.
As a preferred embodiment of the present invention, the step of classifying the photos in S300 specifically includes:
s301, newly building a folder on a storage unit in the picture classification module, naming the folder, and moving a photo set in the picture analysis module into the folder;
s302, reading shooting time information in the photos, sequencing the photos in the newly built folder according to time sequence by using a bubble sequencing algorithm, displaying the specific shooting time of the photos on a photo display interface, wherein the time format is X years, X months and X days, sorting the time points of the photos, and if the time points of a plurality of photos are the same, moving the photos to the time point folder named by the time points;
s303, recognizing the content of the photo in the newly-built folder by using an image recognition algorithm, if the photo content contains people, moving the photo to the newly-built people folder under the folder, if the photo content does not contain people, uniformly moving the photo to the newly-built scenery folder under the folder, simultaneously, independently recognizing the photo content in the folder by using the image recognition algorithm through the photo in the time point folder, if the photo in the time point folder contains the people content, moving the photo to the newly-built time point people folder under the folder, and if the photo in the time point folder does not contain the people content, moving the photo to the newly-built time point scenery folder under the folder;
s304, identifying the photos in the character folder by using a face recognition algorithm, if the characters on a plurality of photos in the character folder are identified and then judged to be the same, moving the photos into a newly-built folder under the character folder, naming the folder by adding the serial number of the characters, and if the characters on the photos in the character folder are different, not changing.
As a preferred embodiment of the present invention, in S303, the image recognition algorithm performs the recognition of the photo contents in the order according to the time sequence of the photos, and moves one photo content into the corresponding folder after completing the recognition and determination of the photo content, and the photos in the corresponding folder are fixedly arranged according to the moving order.
The embodiment of the invention has the following advantages:
the method and the device can automatically delete useless photos with poor quality such as fuzzy photos, unfocused photos and the like, and enable the user to quickly inquire related photos through photo classification according to searched photo contents by sequencing the shot photos and carrying out multi-stage classification for many times, thereby greatly reducing the time for searching the photos for the user.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
The structures, ratios, sizes, and the like shown in the present specification are only used for matching with the contents disclosed in the specification, so as to be understood and read by those skilled in the art, and are not used to limit the conditions that the present invention can be implemented, so that the present invention has no technical significance, and any structural modifications, changes in the ratio relationship, or adjustments of the sizes, without affecting the effects and the achievable by the present invention, should still fall within the range that the technical contents disclosed in the present invention can cover.
Fig. 1 is a block flow diagram of a photo screening method of a portable digital photographing apparatus according to an embodiment of the present invention;
fig. 2 is a block diagram of a portable digital photographing apparatus system according to an embodiment of the present invention;
fig. 3 is a block diagram of a recovery deletion module according to an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1:
as shown in fig. 2 and fig. 3, the present invention provides a portable digital photographing apparatus system, which includes a picture collecting module, a picture analyzing module, a recycling deleting module and a picture classifying module, which are built in an APP;
the picture acquisition module: forming a photo set from a picture shot by the digital equipment imported with the APP, and sending the photo set to a picture analysis module;
the picture analysis module: carrying out detail feature matching on the received pictures in the photo set, forming a photo set to be processed by the pictures in the photo set which are matched with the detail features, and sending the photo set to a recovery and deletion module;
a recovery deleting module: deleting the photo set to be processed received from the image analysis module;
the picture classifying module: and moving the photos in the photo sets after the detail characteristic matching in the photo analysis module is completed into the folders in the photo classification module for sequencing, classifying the sequenced photos according to the content of the photos to form a plurality of photo sets, and moving the photo sets into corresponding newly-built folders below the folders.
The recovery deleting module comprises a temporary storage module for storing the pictures matched with the detail characteristics and a deleting module for deleting all the pictures matched with the detail characteristics.
The recovery and deletion module is divided into two modules, and the temporary storage module stores the photos matched with part of the detail features so that part of the photos satisfied by users may exist in the part of the photos, and even if the photos are dark or excessively exposed, the shot photos still accord with the aesthetic sense of the users, so that the photos are temporarily stored, and the users need to manually select and delete the photos on a screen of the photographing device or restore the photos to a photo set of the photo analysis module.
The detail feature matches a feature module located within the picture analysis module, and the item content of the detail feature match includes picture blur, out of focus, dark light, and exposure.
The folder is located in a storage unit of the picture classifying module, the photo ordering rule in the folder is year time, and the photo content comprises people and scenery.
The picture classifying module comprises a searching module which can search relevant photos by inputting the classifying key words.
The user can quickly search the photos which the user wants to find through the searching module, and time is saved.
Example 2:
as shown in fig. 1, based on embodiment 1, the present invention provides a method for screening photos of a portable digital photographing apparatus, including the steps of:
s100, importing pictures shot by digital equipment into a travel picture set by using a picture acquisition module built in an APP (application), and sending the picture set to a picture analysis module;
s200, the picture analysis module performs detail feature matching on the exposure, the blurring or not, the focusing or not and the light intensity of the picture, forms a photo set to be deleted according to the completely matched detail feature matching, sends the photo set to be deleted to the deletion module for deletion, and forms a temporary storage photo set according to the partially matched detail feature matching, and sends the temporary storage photo set to the temporary storage module for storage;
s300, the picture classifying module utilizes a bubble sorting algorithm and an image recognition algorithm to sort the pictures in the picture set on the picture analyzing module according to time, classifies the pictures into two types of human beings and scenery according to the contents of the pictures to form a new picture set, moves the new picture set into a corresponding folder newly built in a storage unit on the picture classifying module, and names the files.
The method comprises the steps that pictures stored in a temporary storage module are sorted according to time sequence by using a bubble sorting algorithm, the pictures stored in the temporary storage module can be automatically deleted after seven days, a user manually selects to delete or restore the pictures to a picture set of an image analysis module, if the storage space of the temporary storage module is insufficient, part of the pictures can be automatically sent to a deletion module according to the time sequence of picture storage to be deleted, and the cleared storage space is used for receiving and storing new pictures.
After the user classifies the photos in the photo set, the user can search related photos by inputting the classified keywords in a search module built in the photo classification module, the searched results are displayed as storage paths of the photos, the user can directly open the corresponding photos through the displayed storage paths, and the classified keywords input by searching can be time or photo content.
The specific steps of classifying the photos in the step S300 are as follows:
s301, newly building a folder on a storage unit in the picture classification module, naming the folder, and moving a photo set in the picture analysis module into the folder;
s302, reading shooting time information in the photos, sequencing the photos in the newly built folder according to time sequence by using a bubble sequencing algorithm, displaying the specific shooting time of the photos on a photo display interface, wherein the time format is X years, X months and X days, sorting the time points of the photos, and if the time points of a plurality of photos are the same, moving the photos to the time point folder named by the time points;
s303, recognizing the content of the photo in the newly-built folder by using an image recognition algorithm, if the photo content contains people, moving the photo to the newly-built people folder under the folder, if the photo content does not contain people, uniformly moving the photo to the newly-built scenery folder under the folder, simultaneously, independently recognizing the photo content in the folder by using the image recognition algorithm through the photo in the time point folder, if the photo in the time point folder contains the people content, moving the photo to the newly-built time point people folder under the folder, and if the photo in the time point folder does not contain the people content, moving the photo to the newly-built time point scenery folder under the folder;
s304, identifying the photos in the character folder by using a face recognition algorithm, if the characters on a plurality of photos in the character folder are identified and then judged to be the same, moving the photos into a newly-built folder under the character folder, naming the folder by adding the serial number of the characters, and if the characters on the photos in the character folder are different, not changing.
In S303, the image recognition algorithm is performed according to the time sequence of the photos when recognizing the photo content, and when the recognition and determination of one photo content are completed, the photos are moved into the corresponding folder, and the photos in the corresponding folder are fixedly arranged according to the moving sequence.
In the embodiment, after a user opens an APP, the APP can run in a foreground or in a background, when the APP runs, photos taken in a digital photographing device are automatically guided in, the guided photos form a photo set and a photo analysis module is called to perform detail feature matching on the photos of the photo set, the purpose of performing detail feature matching is to perform screening on the photos obtained by shooting, and delete part of the photos which are blurred, unfocused, dark in light and excessively exposed, which occupy a large storage space and affect the storage amount of normal photos, the screened photo part is sent to a temporary storage module to be temporarily stored, and whether the user deletes the stored photos after checking, because some photos are shot due to the reason that the user adjusts shooting parameters or specially selects a dark environment and the like, the photos are needed by the user, therefore, the photos can be reserved, the situation of mistaken deletion is avoided, and only the photos which accord with all the detail feature matching items can be directly sent to the deletion module to be deleted, so that the storage space is vacated;
after the screening of the photo sets is completed, the photo sets are moved to a photo classifying module for classifying, and are sequenced according to the time sequence and the photo contents, and the specific classifying and sequencing has multiple modes:
firstly, the photos in the folder are sequenced according to time, and the sequencing aims to screen out the photos taken in the same day, because the photos taken in the same day are likely to be taken in the same activity, and secondly, the photos are conveniently and quickly searched by a user through the date, so that the time for searching the photos by the user is saved;
secondly, the photo content is relatively miscellaneous but can be roughly divided into a character photo and a scene photo, the photo content is identified through an image identification algorithm and then classified, the classified photos are moved into folders named by the character and the scene, when a user searches the photos, the user does not remember the shooting date of the photos, the photos can be searched through the photo content, and the time for the user to search the photos can also be reduced;
and the photos with the same photo and the same photo on the photo may exist in the photo, but the photo taking dates are different, at this time, the photos with the same photo and the same photo are moved to a new folder below the photo folder through a face recognition algorithm and named by the serial numbers of the photos, when the user needs to search the photos, the user does not know the photo taking date, at this time, the user can quickly find the photos of the same person at different time points through the folder, and the photos in the photo folder at the time points are not classified, because the photos taken on the same day are fewer, the user only needs to spend less time for browsing the complete photos, if the folder is also created, the time for looking up the photos by the user can be prolonged, and the photos of the people in the task folder are more, the photos of the user accumulated for a longer time for taking the photos, and the user spends more time for browsing, the time a user looks for a picture taken by a person can therefore be reduced by the categorization.
In S303, the photos are arranged according to the moving sequence of the photos, the photos at the previous level are arranged according to the chronological sequence, and after the movement is determined according to the fixed sequence, the photos in the new folder are also arranged according to the chronological sequence, which does not need to be corrected by an algorithm.
Secondly, the storage time of the photos in the temporary storage module is limited to a certain extent, the temporary storage time limit is seven days, the user can adjust the storage time limit by himself, the longest time limit is seven days, however, mainly because the photos in the temporary storage module are basically the photos to be deleted, the temporary storage is to protect some photos from being deleted by mistake, when the user does not delete and restore the photos in the temporary storage module for a long time, in order to avoid that the photos are deleted according to the shooting time after the storage time limit because the storage space in the temporary storage module is always sufficient, the photos in the temporary storage module are sequenced according to time, and in order to prevent the storage space in the temporary storage module from being exhausted in the storage time limit and new photos cannot be stored, the temporary storage module can automatically delete part of pictures according to the shooting time of the pictures to vacate a storage space for storing new pictures.
When the user completely determines the information of the searched photos, the user can directly input the classified keywords for searching by using the searching module, such as specific time and the like, and directly look up the related photos according to the results appearing in the searching page, so that the time for the user to continuously open the classification folder for looking up the photos can be saved.
Although the invention has been described in detail above with reference to a general description and specific examples, it will be apparent to one skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (10)
1. A portable digital photographing equipment system is characterized by comprising a picture acquisition module, a picture analysis module, a recovery deletion module and a picture classification module which are arranged in an APP;
the picture acquisition module: forming a photo set from a picture shot by the digital equipment imported with the APP, and sending the photo set to a picture analysis module;
the picture analysis module: carrying out detail feature matching on the received pictures in the photo set, forming a photo set to be processed by the pictures in the photo set which are matched with the detail features, and sending the photo set to a recovery and deletion module;
a recovery deleting module: deleting the photo set to be processed received from the image analysis module;
the picture classifying module: and moving the photos in the photo sets after the detail characteristic matching in the photo analysis module is completed into the folders in the photo classification module for sequencing, classifying the sequenced photos according to the content of the photos to form a plurality of photo sets, and moving the photo sets into corresponding newly-built folders below the folders.
2. The system of claim 1, wherein the recycling deletion module comprises a temporary storage module for storing a part of the pictures matching the detail features and a deletion module for deleting all the pictures matching the detail features.
3. The system according to claim 1, wherein the detail feature matches a feature module located in the image analysis module, and the item content of the detail feature match includes blur, unfocused, dark and exposed image.
4. The system of claim 1, wherein the folder is located in a storage unit of the image classification module, and the ordering rule of the photos in the folder is year time, and the photo contents include people and scenery.
5. The system of claim 1, wherein the picture classifying module comprises a searching module for searching related pictures by inputting a classifying keyword.
6. A photo screening method of a portable digital photographing device is characterized by comprising the following steps:
s100, importing pictures shot by digital equipment into a travel picture set by using a picture acquisition module built in an APP (application), and sending the picture set to a picture analysis module;
s200, the picture analysis module performs detail feature matching on the exposure, the blurring or not, the focusing or not and the light intensity of the picture, forms a photo set to be deleted according to the completely matched detail feature matching, sends the photo set to be deleted to the deletion module for deletion, and forms a temporary storage photo set according to the partially matched detail feature matching, and sends the temporary storage photo set to the temporary storage module for storage;
s300, the picture classifying module utilizes a bubble sorting algorithm and an image recognition algorithm to sort the pictures in the picture set on the picture analyzing module according to time, classifies the pictures into two types of human beings and scenery according to the contents of the pictures to form a new picture set, moves the new picture set into a corresponding folder newly built in a storage unit on the picture classifying module, and names the files.
7. The method as claimed in claim 6, wherein the photos stored in the temporary storage module are sorted according to time sequence by using a bubble sorting algorithm, the photos stored in the temporary storage module are automatically deleted after seven days, a user manually selects to delete or restore the photos to a photo set of the image analysis module, if the storage space of the temporary storage module is insufficient, a part of the photos are automatically sent to the deletion module to be deleted according to the time sequence of the storage of the photos, and the cleared storage space is used for receiving and storing new photos.
8. The photo screening method of portable digital photographing equipment according to claim 6, wherein after the classification of the photos in the photo collection is completed, the user can search for the related photos by inputting the classification keyword in the search module built in the photo classification module, the search result is displayed as the storage path of the photos, the user can directly open the corresponding photos through the displayed storage path, and the classification keyword input by the search can be time or the content of the photos.
9. The photo screening method of a portable digital photographing apparatus according to claim 6, wherein the step of classifying the photos in S300 comprises:
s301, newly building a folder on a storage unit in the picture classification module, naming the folder, and moving a photo set in the picture analysis module into the folder;
s302, reading shooting time information in the photos, sequencing the photos in the newly built folder according to time sequence by using a bubble sequencing algorithm, displaying the specific shooting time of the photos on a photo display interface, wherein the time format is X years, X months and X days, sorting the time points of the photos, and if the time points of a plurality of photos are the same, moving the photos to the time point folder named by the time points;
s303, recognizing the content of the photo in the newly-built folder by using an image recognition algorithm, if the photo content contains people, moving the photo to the newly-built people folder under the folder, if the photo content does not contain people, uniformly moving the photo to the newly-built scenery folder under the folder, simultaneously, independently recognizing the photo content in the folder by using the image recognition algorithm through the photo in the time point folder, if the photo in the time point folder contains the people content, moving the photo to the newly-built time point people folder under the folder, and if the photo in the time point folder does not contain the people content, moving the photo to the newly-built time point scenery folder under the folder;
s304, identifying the photos in the character folder by using a face recognition algorithm, if the characters on a plurality of photos in the character folder are identified and then judged to be the same, moving the photos into a newly-built folder under the character folder, naming the folder by adding the serial number of the characters, and if the characters on the photos in the character folder are different, not changing.
10. The method as claimed in claim 9, wherein the image recognition algorithm is performed according to the time sequence of the photos when recognizing the sequence of the photo contents in S303, the photos are moved to the corresponding folder after completing the recognition and determination of one photo content, and the photos in the corresponding folder are fixedly arranged according to the moving sequence.
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