CN110929063A - Album generating method, terminal device and computer readable storage medium - Google Patents
Album generating method, terminal device and computer readable storage medium Download PDFInfo
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Abstract
The invention provides an album generating method, terminal equipment and a computer-readable storage medium. The photo album generating method provided by the invention comprises the following steps: extracting first characteristic information of an image shot by a camera; and extracting a target picture matched with the first characteristic information from the pictures to be classified according to the first characteristic information. The system analyzes according to the current image shot by the camera, then screens the photos with the same characteristics as the current image shot to form the photo album, and associates the photo classification with the current scene shot by the user, so that the accurate and intelligent classification of the photos is realized.
Description
Technical Field
The present invention relates to the field of mobile communications, and in particular, to an album generating method, a terminal device, and a computer-readable storage medium.
Background
The mobile phone photo album intelligently analyzes the photos according to the shooting place, the shooting time and the shooting subject, or generates the photo album according to the photos selected by the user, and displays various wonderful moments in the form of animation. In the current photo album automatically generated by the mobile phone system, because the displayed photos are more in types and single in classification form, untimely photos often appear in the classified photo album, and the use experience of a user is influenced.
Disclosure of Invention
The invention mainly aims to provide an album generating method, and aims to solve the problem that untimely photos often appear in an album after classification due to a single classification form of a current mobile phone system.
In order to achieve the above purpose, the present invention provides an album creating method, which includes the following steps:
extracting first characteristic information of an image shot by a camera;
and extracting a target picture matched with the first characteristic information from the pictures to be classified according to the first characteristic information.
Optionally, the first feature information includes at least one of an object, an object feature, and a number of objects in the image.
Optionally, the object includes at least one of a person, a scene, and an item.
Optionally, the step of extracting, according to the first feature information, a target picture matched with the first feature information in pictures to be classified includes:
identifying second characteristic information of the picture to be classified;
comparing the second characteristic information with the first characteristic information;
and taking a picture corresponding to second characteristic information matched with the first characteristic information as the target picture.
Optionally, after the step of extracting, according to the first feature information, a target picture matched with the first feature information in the pictures to be classified, the method further includes:
acquiring a time parameter and/or a position parameter of the target picture;
and extracting pictures containing the same time parameters and/or position parameters in the pictures to be classified, and adding the extracted pictures to the target pictures.
Optionally, after the step of extracting the target picture matched with the first feature information from the pictures to be classified according to the first feature information, the method for generating the album further includes:
and generating an album corresponding to the first characteristic information according to the target picture.
Optionally, the step of generating an album corresponding to the first feature information according to the target picture includes:
classifying the target pictures according to the number of the objects in the target pictures;
and generating the photo album according to the classified target picture.
Optionally, the step of generating an album corresponding to the first feature information according to the target picture further includes:
classifying the target picture according to the time parameter and/or the position parameter of the target picture;
and generating the photo album according to the classified target picture.
In order to achieve the above object, the present invention further provides a terminal device, where the terminal device includes a memory, a processor, and a control program of an album creating method stored in the memory and executable on the processor, and the control program of the album creating method implements the steps of the album creating method when executed by the processor.
To achieve the above object, the present invention further provides a computer-readable storage medium having stored thereon a control program of an album creating method, which when executed by a processor implements the steps of the album creating method as described above.
The technical scheme of the invention comprises the steps of extracting first characteristic information of an image shot by a camera; and extracting a target picture matched with the characteristic information from the pictures to be classified according to the first characteristic information. The system analyzes according to the image shot by the camera at present, and then screens the photos with the same characteristics as the image shot at present to form the photo album, so that the traditional mode that the photos can only be analyzed and classified according to shooting places, shooting time, shooting subjects and the like is broken, the photo classification is associated with the scene shot by the user at present, and the accurate and intelligent classification of the photos is realized.
Drawings
Fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a first embodiment of a method for creating an album according to the present invention;
FIG. 3 is a flowchart illustrating a second embodiment of a method for creating an album according to the present invention;
FIG. 4 is a flowchart illustrating a method for creating an album according to a third embodiment of the present invention;
FIG. 5 is a flowchart illustrating a fourth embodiment of a method for creating an album according to the present invention;
FIG. 6 is a flowchart illustrating a fifth embodiment of a method for creating an album according to the present invention;
fig. 7 is a flowchart illustrating a sixth embodiment of the album creating method according to the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. 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.
It should be noted that, if directional indications (such as up, down, left, right, front, and back) are involved in the embodiment of the present invention, the directional indications are only used for explaining the relative positional relationship, the motion situation, and the like between the components in a certain posture, and if the certain posture is changed, the directional indications are changed accordingly.
In addition, technical solutions between various embodiments may be combined with each other, but must be realized by a person skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination should not be considered to exist, and is not within the protection scope of the present invention.
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The main solution of the embodiment of the invention is as follows: extracting first characteristic information of an image shot by a camera; and extracting a target picture matched with the characteristic information from the pictures to be classified according to the first characteristic information.
In the prior art, albums automatically generated by the system cannot be classified according to the preference of users, and untimely photos often appear in the display process.
The invention provides an album generating method, which comprises the steps of extracting first characteristic information of an image shot by a camera; and extracting a target picture matched with the characteristic information from the pictures to be classified according to the first characteristic information. The problem that albums automatically generated by a mobile phone system cannot be classified according to user preferences is solved.
As shown in fig. 1, fig. 1 is a schematic terminal structure diagram of a hardware operating environment according to an embodiment of the present invention.
The terminal of the embodiment of the invention can be a smart phone, and can also be a mobile intelligent terminal with a photographing function, such as a tablet and the like.
As shown in fig. 1, the terminal may include: a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, a communication bus 1002. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Camera (Camera), a Display (Display), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard priority interface, a wireless interface (e.g., a WiFi interface). The memory 1005 may be a high-speed RAM memory, or may be an NVM (non-volatile memory), such as a disk memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the terminal structure shown in fig. 1 is not intended to be limiting and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a kind of computer-readable storage medium, may include programs of an operating system, a network communication module, and an album creating method therein.
In the terminal shown in fig. 1, the network interface 1004 is mainly used for connecting to a backend server and performing data communication with the backend server; the user interface 1003 is mainly used for connecting a client (user side) and performing data communication with the client; and the processor 1001 may be configured to call a control program of the album creating method stored in the memory 1005, and perform the following operations:
extracting first characteristic information of an image shot by a camera;
and extracting a target picture matched with the first characteristic information from the pictures to be classified according to the first characteristic information.
Further, the processor 1001 may call the album creating method program stored in the memory 1005, and also perform the following operations:
identifying second characteristic information of the picture to be classified;
comparing the second characteristic information with the first characteristic information;
and taking a picture corresponding to second characteristic information matched with the first characteristic information as the target picture.
Further, the processor 1001 may call the album creating method program stored in the memory 1005, and also perform the following operations:
acquiring a time parameter and/or a position parameter of the target picture;
and extracting pictures containing the same time parameters and/or position parameters in the pictures to be classified, and adding the extracted pictures to the target pictures.
Further, the processor 1001 may call the album creating method program stored in the memory 1005, and also perform the following operations:
and generating an album corresponding to the first characteristic information according to the target picture.
Further, the processor 1001 may call the album creating method program stored in the memory 1005, and also perform the following operations:
classifying the target pictures according to the number of the objects in the target pictures;
and generating the photo album according to the classified target picture.
Further, the processor 1001 may call the album creating method program stored in the memory 1005, and also perform the following operations:
classifying the target picture according to the time parameter and/or the position parameter of the target picture;
and generating the photo album according to the classified target picture.
Based on the hardware framework, the embodiment of the album generating method is provided.
Referring to fig. 2, fig. 2 is a first embodiment of an album creating method according to the present invention, including the steps of:
step S10, extracting first characteristic information of the image shot by the camera;
in this embodiment, a user opens a camera to take a picture, where a subject of the picture may be a person, a scene, or an article, and after the picture is taken, image processing software built in the system automatically identifies and extracts first feature information of an image in the picture, where the first feature information includes at least one of the subject, a feature of the subject, and the number of the subjects.
In this embodiment, when image processing software built in the system automatically identifies and extracts first feature information of an image in a photo, a priority order of a photographic object in the photo needs to be determined, and whether the photographic object in the photo shot by the camera can be used as a screening basis can be determined according to the priority order. The priority order can be according to the size of the proportion of the area of people, scenery or articles in the image to the total area of the photo, the object with the largest proportion is taken as the highest priority shooting object, specifically speaking, when the system identifies that people, scenery and articles simultaneously exist in the shot photo, the proportion of the areas of people, scenery and articles to the total area of the photo is calculated, if the area proportion of the areas of people is the highest, the area proportion of scenery is the second and the area proportion of articles is the smallest, the system can identify the priority order of the shooting objects of the photo as follows: character > scene > item.
In this embodiment, the system may set a category threshold of the photographic subject, where the category threshold may be the maximum number of categories of the photographic subject of the screening target picture, and determine the photographic subject that can be used as the screening basis by combining the category threshold and the priority order. If the type threshold value is one, namely the selected type of the shooting object preset by the system is one, combining the priority sequence of the shooting object to use the characteristic information of the person as the basis for screening the target picture, and not using the characteristic information of the rest scenery and articles as the screening basis; if the type threshold is two, if the selected type of the shooting object preset by the system is two, combining the priority sequence to use the characteristic information of the people and the scenery as the basis for screening the target pictures, and not using the characteristic information of the objects as the screening basis.
In this embodiment, the system may also set the priority order of the photographic objects in advance, for example, the system may set the priority order of the photographic objects as people > scenery > objects, and when the system recognizes that the image taken by the camera contains people, scenery and objects at the same time, the system may determine the photographic objects to be taken as the screening target pictures by combining the category threshold. If the type threshold value is one, the system takes the characteristic information of the person as a basis for screening the target picture, and if the type of the shooting object preset by the system is two, the characteristic information of the person and the scenery is taken as a basis for screening the target picture.
In this embodiment, the specific manner of screening the photographic subject is not limited to the above manner, and the system may also determine the corresponding photographic subject according to the above screening method.
In this embodiment, after the object that can be used as the screening basis is confirmed, the system further obtains feature information of the object, and in the case where the object is a person, obtains feature information such as a facial feature and the number of faces of the person region.
In this embodiment, the system confirms that the photographic subject in the picture taken by the user is not limited to one, and the photographic subject of one picture may simultaneously contain at least one of a person, a scene, and an article. Namely, the system can also identify the shooting objects of the photos as the characters and the scenery, or the characters, the scenery and the objects can be used as the shooting objects of the photos, and then further analyze and acquire the object characteristics and/or the specific number of the objects of the shooting objects,
in this embodiment, after the user takes a picture, the user may also confirm the photographic subject by himself, and the method for the user to confirm the photographic subject by himself may be implemented by clicking any region in the image, where at least one of a person, a scene, or an article corresponding to the region is the photographic subject.
In this embodiment, after the user takes a picture, all the objects included in the taken picture may be identified, and all the objects included may be framed or marked in other visual ways, and the user selects at least one of the objects as the object according to the framed object.
And step S20, extracting a target picture matched with the first characteristic information in the pictures to be classified according to the first characteristic information.
In this embodiment, after the system acquires the first feature information of the photo taken by the user, the system matches the to-be-classified pictures in the photo library with the photo taken by the user, and screens out the pictures with the same features as the photo taken by the user from the to-be-classified pictures, that is, the pictures containing the first feature information are matched from the photo library according to the first feature information to serve as target pictures.
In this embodiment, the system identifies image information of the pictures to be classified in the picture library through built-in image processing software, where the image information also includes information such as a shooting object, object characteristics, and the number of objects. According to the system priority principle or the user-defined selection principle, the type of the shot object of the picture to be classified in the picture library cannot be less than the type of the shot object of the user shot picture confirmed by the system, specifically, for example, when the system confirms or the user selects the shot object as a person, the picture to be classified at least comprises the characteristic information of the person; when the system confirms that the shooting objects selected by the user are people and scenery, the pictures to be classified at least need to contain the characteristic information of the people and the scenery.
In the embodiment, the system identifies the photos shot by the user, matches the corresponding photos in the photo library according to the photos shot by the user, and associates the photo classification with the scene shot by the user at present, so that the accurate and intelligent classification of the photos is realized.
Referring to fig. 3, fig. 3 is a second embodiment of the album creating method according to the present invention, and based on the first embodiment, step S20 includes:
step S21, identifying second characteristic information of the picture to be classified;
in this embodiment, the second feature information of the picture to be classified is the same as the information category included in the first feature information of the image shot by the camera, that is, the second feature information of the picture to be classified includes information such as an object, object features, and the number of objects in the picture, and the object includes a person, a scene, an article, and the like.
Step S22, comparing the second characteristic information with the first characteristic information;
in this embodiment, since the second feature information of the picture to be classified is the same as the information type included in the first feature information of the image captured by the camera, the system can compare the extracted object, object feature, and number of objects of the image captured by the camera with the object, object feature, and number of objects of the picture to be classified one by one.
In this embodiment, the object features are different according to different shooting objects, specifically, when the shooting object is a person, the object features are mainly face features; when the shooting object is a scene, the object characteristics comprise scene characteristics; when the shooting object is an article, the object characteristic is mainly the image characteristic of the article.
In this embodiment, when the number of the photographic objects photographed by the camera is greater than 1, the system identifies the objects included in the picture to be classified, and when the types of the objects include the types and the numbers of the photographic objects, each photographic object is compared with the objects in the picture to be classified. Specifically, if the system identifies that the shooting object shot by the camera is a person and the object contained in the picture to be classified is a person, the system judges that the picture to be classified contains the shooting object of the picture shot by the camera, and compares the facial features shot by the camera with the facial features in the picture to be classified. If the system identifies that the shot object shot by the camera is a person and the objects contained in the picture to be classified are the person and the scenery, the system judges that the picture to be classified contains the shot object of the picture shot by the camera, compares the face features shot by the camera with the face features in the picture to be classified, and does not participate in comparison of the scenery features in the picture to be classified. If the system identifies that the shot objects shot by the camera are characters and scenery and the objects contained in the pictures to be classified are characters and scenery, the system judges that the pictures to be classified contain the shot objects of the pictures shot by the camera, compares the face features shot by the camera with the face features in the pictures to be classified, and simultaneously compares the scene features shot by the camera with the scene features in the pictures to be classified.
In this embodiment, when the object is a person, the number of objects in the picture may be more than one, and the system compares the facial features captured by the camera with the facial features in the picture to be classified in a one-to-many manner, specifically, for example, if the object photographed by the camera is a person, the person in the image includes a and B, and the person in the image to be classified includes a, B, c, d, the system can compare the facial features of a with a or B, and the comparison result shows that a and a have the same facial features, that is, a is the same as A, the system compares the face feature of B with B, the comparison result shows that B and B have the same face feature, that is, B is the same as B, and since the comparison of the shot objects in the image shot by the camera is completed, the system does not compare the residual c or d again. The system can also compare the face features of any one of B, c and d with A or B, shield the matched people, and compare the rest of the people until the comparison of all the people shot by the camera is finished.
In this embodiment, the system first compares the object shot by the camera with the object included in the picture to be classified, extracts the object features of the object shot by the camera and the object included in the picture to be classified, determines whether the object in the picture to be classified is the same as the object shot by the image shot by the camera according to the object features, and determines that the objects of the two pictures are the same if the object features of the object shot by the camera are the same as the object features of the object in the picture to be classified.
Step S23, a picture corresponding to the second feature information that matches the first feature information is taken as the target picture.
In this embodiment, when the second feature information in the to-be-classified picture in the picture library includes all the first feature information of the image shot by the camera, the to-be-classified picture corresponding to the second feature information is taken as a micro-target picture.
In this embodiment, the target picture is not completely the same as the image shot by the camera, the target picture only needs to include the first characteristic information of the image shot by the camera, and a shot object of the first characteristic information can be automatically identified and confirmed by the system according to the setting of the user, and can also be confirmed by the user; the object feature and the number of objects of the first feature information are automatically identified by the system.
In this embodiment, the first feature information is compared with the second feature information, so that the pictures including the first feature information in the pictures to be classified are screened out, and the first feature information reflects the preference of the user for calling the pictures currently, so that the album generating method of the embodiment sufficiently combines the actual requirements of the user, and intelligently screens the target pictures meeting the expectations of the user.
Referring to fig. 4, fig. 4 is a third embodiment of the album creating method according to the present invention, which further includes, after step S20, based on the first or second embodiment:
step S30, acquiring the time parameter and/or the position parameter of the target picture;
in this embodiment, the pictures in the picture library are pictures taken by a user in the past, when the mobile phone camera takes the pictures, the system automatically acquires the shooting time and the shooting place in the current shooting state, and marks the information of the shooting time, the shooting place and the like of the pictures, wherein the shooting time is used as a time parameter, and the shooting place is used as a position parameter.
Step S40, extracting pictures in the pictures to be classified, which include the same time parameter and/or the same position parameter, and adding the extracted pictures to the target picture.
In this embodiment, the system obtains the time parameter and/or the position parameter of the target picture, and then screens pictures with the same time parameter and/or position parameter from the pictures to be classified as the target picture according to the time parameter and/or the position parameter, so as to expand the screening range of the target picture.
In this embodiment, in order to facilitate the distinction, the pictures with the same time parameter and/or position parameter are screened from the pictures to be classified according to the time parameter and/or position parameter to become the newly added target pictures.
In this embodiment, the system may preset the nodes of the time parameters, or the user may select the nodes of the time parameters, that is, all the pictures are divided in one day, one month, one year, or other relative time periods, and if the user selects to divide the pictures in one day, the pictures to be classified taken on the same date are taken as the new target pictures; and if the user selects to divide the target picture according to the time period of the month, taking the picture to be classified shot in the same month as the newly-added target picture, and generating a corresponding photo album for the user to select and view.
In this embodiment, the system may further preset a range of the location parameter, or the user may select a dividing manner of the location parameter, that is, the locations of the pictures are divided in the hierarchy of town, district, county, city, province, country, and the like. If the division mode of the position parameters preset by the system takes the city as a reference, or the user selects the city as the reference to classify the pictures, all the pictures to be classified, of which the shooting places are in the same city jurisdiction as the target pictures, are taken as the new target pictures; and if the division mode of the position parameters preset by the system takes the province as a reference, or the user selects to classify the pictures by taking the province as the reference, all the pictures to be classified, of which the shooting places are in the same province jurisdiction as the target pictures, are taken as the new target pictures.
In this embodiment, the user may select whether to acquire the time parameter and/or the position parameter of the target picture according to needs, so as to expand the range of the target picture.
Referring to fig. 5, fig. 5 is a fourth embodiment of the album creating method according to the present invention, which further includes, after step S40, according to the third embodiment:
and step S50, generating an album corresponding to the first characteristic information according to the target picture.
In this embodiment, after the system screens out all target pictures that satisfy the condition, the system generates the album from the target pictures, and in the process of generating the album, the target pictures can generate different albums by classification according to one or more of the objects, the object characteristics, or the number of the objects included in the first characteristic information, so as to be used by the user selectively.
Referring to fig. 6, fig. 6 is a fifth embodiment of the album creating method according to the present invention, and based on the fourth embodiment, step S50 includes:
step S51, classifying the target pictures according to the number of the objects in the target pictures;
in this embodiment, if the shooting object in the target picture includes people, the target picture may be classified according to the number of people in the picture. Specifically, for example, when the shooting objects of the pictures shot by the camera are a and b, the target pictures screened by the system at least comprise a person a and a person b at the same time, and the target pictures may further comprise a plurality of persons such as a person c, a person d, a person e and the like, at this time, the system classifies the target pictures according to the number of persons in the target pictures, that is, the target pictures are divided into pictures only comprising the person a and the person b; a picture containing a, b and a third person (which may be one of the people of c, d, e, etc.); including pictures of a, b, and two other people (two of the people c, d, e, etc.), and so on.
In this embodiment, for the case that the shooting object in the target picture includes people, before the operation of classifying the target picture according to the number of people, the user may set the classification basis of the number of people, that is, the user may set the case of classifying the target picture into one person, two persons, multiple persons, or a combination of persons without classification. Specifically, when the shooting objects of the pictures shot by the camera are A and B, the target pictures screened by the system at least comprise A and B at the same time, the target pictures may further comprise a plurality of people such as C, D, E and the like, and a user can select to merge and display all the target pictures without classifying the target pictures; the manner in which the target picture is classified according to the number of people in the picture may also be selected.
In this embodiment, if the object of the target picture is an article, the target picture may be classified according to the number of the curved screens in the picture.
And step S52, generating the photo album according to the classified target pictures.
In this embodiment, if the shooting object in the target picture is only a person, the target picture can be directly formed into an album after being classified. If the object to be captured in the target picture includes a person and a part of the target picture is added to the target picture from the pictures to be classified according to the time parameter and/or the position parameter, that is, the new target picture defined in the above embodiment 3, the new target picture is added to the classification position where the target picture having the same time parameter and/or the same position parameter is located.
Referring to fig. 7, fig. 7 is a sixth embodiment of the album creating method according to the present invention, and based on the fourth embodiment, step S50 further includes:
step S53, classifying the target picture according to the time parameter and/or the position parameter of the target picture;
in this embodiment, since all pictures (including the target picture) are marked with corresponding time parameters and/or position parameters, when the shooting object of the target picture is a scene, the target pictures containing the same scene may have different time parameters; when the shooting object of the target picture is a person or an article, the target pictures containing the same person or article may have different time parameters and/or position parameters. The user may choose to classify the target picture according to the time parameter and/or the location parameter of the target picture.
And step S54, generating the photo album according to the classified target pictures.
In this embodiment, when the user selects to classify the target picture according to the time parameter, the node of the time parameter may be set, that is, the target picture is divided by one day, one month or other relative time periods, and if the user selects to divide the target picture by one day time period, the target pictures shot on the same date are classified into the same classification position; and if the user selects to divide the target pictures according to the time period of the month, classifying the target pictures shot in the same month to the same classification position, and generating a corresponding photo album for the user to select to view.
In this embodiment, when the user selects to classify the target picture according to the position parameter, the system classifies the target picture according to different shooting locations, and generates a corresponding album for the user to select to view.
In this embodiment, the user may also select to classify the target picture by referring to the position parameter and the time parameter at the same time, and the system classifies the target picture according to different time nodes and shooting places at different time nodes and generates a corresponding album for the user to select to view.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention, and all modifications and equivalents of the present invention, which are made by the contents of the present specification and the accompanying drawings, or directly/indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. An album creating method, characterized by comprising the steps of:
extracting first characteristic information of an image shot by a camera;
and extracting a target picture matched with the first characteristic information from the pictures to be classified according to the first characteristic information.
2. The album creating method according to claim 1, wherein the first feature information includes at least one of an object, an object feature, and a number of objects in the image.
3. The album creating method according to claim 2, wherein the object includes at least one of a person, a scene, and an article.
4. The method for creating an album according to claim 1, wherein the step of extracting the target picture matching the first feature information from the pictures to be classified according to the first feature information comprises:
identifying second characteristic information of the picture to be classified;
comparing the second characteristic information with the first characteristic information;
and taking a picture corresponding to second characteristic information matched with the first characteristic information as the target picture.
5. The album creating method according to claim 1, further comprising, after the step of extracting a target picture matching the first feature information among the pictures to be classified according to the first feature information:
acquiring a time parameter and/or a position parameter of the target picture;
and extracting pictures containing the same time parameters and/or position parameters in the pictures to be classified, and adding the extracted pictures to the target pictures.
6. The album creating method according to any one of claims 1 to 5, further comprising, after the step of extracting a target picture matching the first feature information among the pictures to be classified according to the first feature information:
and generating an album corresponding to the first characteristic information according to the target picture.
7. The album creating method according to claim 6, wherein the creating of the album corresponding to the first feature information from the target picture includes:
classifying the target pictures according to the number of the objects in the target pictures;
and generating the photo album according to the classified target picture.
8. The album creating method according to claim 6, wherein the creating of the album corresponding to the first feature information based on the target picture further comprises:
classifying the target picture according to the time parameter and/or the position parameter of the target picture;
and generating the photo album according to the classified target picture.
9. A terminal device characterized by comprising a memory, a processor, and a control program of an album creating method stored on the memory and executable on the processor, the control program of the album creating method realizing the steps of the album creating method according to any one of claims 1 to 8 when executed by the processor.
10. A computer-readable storage medium, characterized in that a control program of an album creating method is stored thereon, which when executed by a processor implements the steps of the album creating method according to any one of claims 1 to 8.
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| CN201911145065.4A CN110929063A (en) | 2019-11-21 | 2019-11-21 | Album generating method, terminal device and computer readable storage medium |
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| CN201911145065.4A CN110929063A (en) | 2019-11-21 | 2019-11-21 | Album generating method, terminal device and computer readable storage medium |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112637521A (en) * | 2020-12-31 | 2021-04-09 | 杭州云端文化创意有限公司 | Film production system based on shot photos and working method thereof |
| CN112685583A (en) * | 2020-12-29 | 2021-04-20 | 科大讯飞股份有限公司 | Travel record album generating method and device |
| CN112732966A (en) * | 2020-12-31 | 2021-04-30 | 北京华安信联通信技术有限公司 | Method for adding shooting place to photo |
| CN113407754A (en) * | 2021-07-13 | 2021-09-17 | 北京达佳互联信息技术有限公司 | Album generating method, apparatus, electronic device and storage medium |
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2019
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112685583A (en) * | 2020-12-29 | 2021-04-20 | 科大讯飞股份有限公司 | Travel record album generating method and device |
| CN112685583B (en) * | 2020-12-29 | 2023-01-13 | 科大讯飞股份有限公司 | Travel record album generating method and device |
| CN112637521A (en) * | 2020-12-31 | 2021-04-09 | 杭州云端文化创意有限公司 | Film production system based on shot photos and working method thereof |
| CN112732966A (en) * | 2020-12-31 | 2021-04-30 | 北京华安信联通信技术有限公司 | Method for adding shooting place to photo |
| CN112732966B (en) * | 2020-12-31 | 2024-08-02 | 北京华安信联通信技术有限公司 | Method for adding shooting place to photo |
| CN113407754A (en) * | 2021-07-13 | 2021-09-17 | 北京达佳互联信息技术有限公司 | Album generating method, apparatus, electronic device and storage medium |
| CN113407754B (en) * | 2021-07-13 | 2023-12-15 | 北京达佳互联信息技术有限公司 | Album generating method, apparatus, electronic device and storage medium |
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