CN105975612A - Picture processing method, device and equipment - Google Patents
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- 238000013442 quality metrics Methods 0.000 claims description 12
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
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Abstract
The embodiment of the invention discloses a picture processing method, a device and equipment, wherein the method comprises the following steps: acquiring target information, wherein the target information is subject information representing a picture to be recommended; screening pictures in a database according to the target information to obtain a picture to be recommended; and putting the obtained pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme. The technical scheme provided by the embodiment of the invention can avoid the step of manually screening the pictures, avoid manually generating the same-theme picture set to be recommended, improve the picture screening efficiency and reduce certain manual resources.
Description
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method, an apparatus, and a device for processing an image.
Background
With the continuous development of electronic devices such as mobile phones, computers, tablet computers and the like, pictures have become a main mode for transmitting information in a social platform, and users send or acquire information through the pictures in the electronic devices, so that the pictures are intuitive and convenient transmission modes. Currently, there are two ways to send pictures in a social platform. The first mode is that the user randomly sends a group of pictures acquired by the user, wherein the group of pictures comprises at least one picture, such as a picture currently taken by the user, or a favorite picture downloaded by the user and the like. The second way is for the user or platform to send a group of pictures with the same theme by an explicit theme. The pictures with the same theme are different pictures capable of showing the same information.
For the second method, a user or a platform sends a group of pictures with the same theme, such as a hottest topic picture set, a certain moving picture set, a certain landscape picture set, a certain person picture set, and the like, and the pictures in the database are manually screened to obtain the pictures with the same theme, and whether the pictures are selected as the pictures with the same theme is also considered to be subjective judgment. For pictures with continuously-increased data volume on the social platform, the efficiency of manual screening is lower and lower, and interaction among users in the social platform is not facilitated.
Disclosure of Invention
The embodiment of the invention provides a picture processing method, a picture processing device and picture processing equipment, which can solve the problem of how to improve the picture screening efficiency.
A first aspect of an embodiment of the present invention provides an image processing method, including:
acquiring target information, wherein the target information is subject information representing a picture to be recommended;
screening pictures in a database according to the target information to obtain the pictures to be recommended;
and putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme.
With reference to the first aspect, in a first possible implementation manner of the first aspect, before the screening, according to the target information, pictures in the database to obtain the picture to be recommended, the method further includes:
acquiring a picture uploaded by a user;
acquiring picture information carried in the picture uploaded by the user, wherein the picture information is information representing picture attributes;
generating a label of a corresponding picture according to the picture information;
and providing the picture uploaded by the user and the corresponding label to the database.
With reference to the first possible implementation manner of the first aspect, in a second possible implementation manner of the first aspect, the screening, according to the target information, pictures in the database to obtain the picture to be recommended, where the method includes:
matching the target information with a label corresponding to a picture in the database;
and taking the successfully matched picture as the picture to be recommended.
With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the picture that is successfully matched is taken as the picture to be recommended, and the method includes:
when the matching degree reaches a preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected;
when the number of the pictures to be selected does not exceed the preset number of pictures, taking the pictures to be selected as the pictures to be recommended;
and when the number of the pictures to be selected exceeds the preset number of pictures, selecting the pictures to be selected with the preset number of pictures as the pictures to be recommended according to the sequence from high matching degree to low matching degree.
With reference to the second possible implementation manner of the first aspect, in a fourth possible implementation manner of the first aspect, the picture that is successfully matched is taken as the picture to be recommended, and the method includes:
when the matching degree reaches a preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected;
acquiring image quality corresponding to the picture to be selected;
when the number of the pictures to be selected does not exceed the preset number of pictures, taking the pictures to be selected as the pictures to be recommended;
and when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected with the image quality metric reaching a preset image quality metric as the pictures to be recommended.
With reference to the second possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, the picture that is successfully matched is taken as the picture to be recommended, and the method includes:
when the matching degree reaches a preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected;
acquiring image quality corresponding to the picture to be selected;
when the number of the pictures to be selected does not exceed the preset number of pictures, taking the pictures to be selected as the pictures to be recommended;
and when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected which accord with the comprehensive standard as the pictures to be recommended according to the comprehensive standard of the matching degree and the image quality measurement.
With reference to the third possible implementation manner to the fifth possible implementation manner of the first aspect, in a sixth possible implementation manner of the first aspect, before the placing the picture to be recommended in a target picture filling template to generate a group of picture sets to be recommended with the same subject, the method further includes:
determining the target picture filling template according to the preset picture number; or,
determining the target picture filling template according to the target information and the preset picture number; or,
and determining the target picture filling template according to the target information and the actual picture number.
With reference to the first aspect, in a seventh possible implementation manner of the first aspect, the target picture filling template includes at least one frame information;
the step of putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme, comprises the following steps:
and putting the picture to be recommended into a frame correspondingly according to each frame information included in the target picture filling template.
A second aspect of the embodiments of the present invention provides an image processing apparatus, including:
the device comprises an acquisition unit, a determination unit and a recommendation unit, wherein the acquisition unit is used for acquiring target information and providing the target information to the determination unit, and the target information is subject information representing a picture to be recommended;
the determining unit is used for screening the pictures stored in the storage unit according to the target information, determining the pictures to be recommended and providing the pictures to be recommended to the generating unit;
and the generating unit is used for putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme.
With reference to the second aspect, in a first possible implementation manner of the second aspect, the obtaining unit is further configured to obtain a picture uploaded by a user, and provide the picture uploaded by the user to the storage unit; acquiring picture information carried in the picture uploaded by the user, wherein the picture information is information representing picture attributes;
the generating unit is further used for generating a label of the corresponding picture according to the picture information and providing the generated label of the picture to the storage unit;
and the storage unit is used for mapping and storing the picture uploaded by the user and the corresponding label.
With reference to the first possible implementation manner of the second aspect, in a second possible implementation manner of the second aspect, the apparatus further includes: a matching unit;
the matching unit is used for matching the target information with the label corresponding to the picture in the database;
the determining unit is further configured to determine the picture successfully matched as the picture to be recommended.
With reference to the second possible implementation manner of the second aspect, in a third possible implementation manner of the second aspect, the determining unit includes: a first selection module, a first determination module;
the first selection module is used for selecting the picture reaching the preset matching degree as a picture to be selected when the matching degree reaches the preset matching degree;
the first determining module is used for determining the pictures to be selected as the pictures to be recommended when the number of the pictures to be selected does not exceed the preset number of pictures; and when the number of the pictures to be selected exceeds the preset number of pictures, selecting the pictures to be selected with the preset number of pictures according to the sequence of the matching degrees from high to low to determine the pictures to be recommended.
With reference to the third possible implementation manner of the second aspect, in a fourth possible implementation manner of the second aspect, the determining unit further includes: the first selection module, the first determination module and the first acquisition module are connected with the first selection module;
the second selection module is used for selecting the picture reaching the preset matching degree as the picture to be selected when the matching degree reaches the preset matching degree;
the first obtaining module is used for obtaining the image quality corresponding to the picture to be selected;
the second determining module is used for determining the pictures to be selected as the pictures to be recommended when the number of the pictures to be selected does not exceed the preset number of the pictures; and when the number of the pictures to be selected exceeds the preset number of pictures, selecting the pictures to be selected with the image quality metric reaching a preset image quality metric to be determined as the pictures to be recommended.
With reference to the fourth possible implementation manner of the second aspect, in a fifth possible implementation manner of the second aspect, the determining unit further includes: the third selection module, the third determination module and the second acquisition module;
the third selection module is used for selecting the picture reaching the preset matching degree as the picture to be selected when the matching degree reaches the preset matching degree;
the second obtaining module is used for obtaining the image quality corresponding to the picture to be selected;
the third determining module is configured to determine the picture to be selected as the picture to be recommended when the number of the pictures to be selected does not exceed the predetermined number of pictures; and when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected which accord with the comprehensive standard according to the comprehensive standard of the matching degree and the image quality measurement and determining the pictures to be selected as the pictures to be recommended.
With reference to the fifth possible implementation manner of the second aspect, in a sixth possible implementation manner of the second aspect, before the placing the picture to be recommended in a target picture filling template to generate a group of picture sets to be recommended that are the same as the subject, the apparatus further includes:
the determining unit is further configured to determine the target picture filling template according to the predetermined number of pictures; or determining the target picture filling template according to the target information and the preset picture number; or determining the target picture filling template according to the target information and the actual picture number.
In combination with the second aspect, the target picture populating template includes at least one frame information;
and the generating unit is used for correspondingly placing the picture to be recommended into a frame according to each frame information included in the target picture filling template.
A third aspect of the embodiments of the present invention provides an image processing apparatus, including: a processor, a memory, a communication interface, and a bus;
the processor, the memory and the communication interface are connected through the bus and complete mutual communication;
the memory stores executable program code;
the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute a picture processing method; the picture processing method comprises the following steps:
acquiring target information, wherein the target information is subject information representing a picture to be recommended;
screening pictures in a database according to the target information to obtain the pictures to be recommended;
and putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme.
A fourth aspect of the embodiments of the present invention provides a storage medium, where the storage medium is used to store an application program, and the application program is used to execute, when running, a picture processing method according to the embodiments of the present invention.
A fifth aspect of the embodiments of the present invention provides an application program, where the application program is configured to execute the picture processing method according to the embodiments of the present invention when the application program runs.
By adopting the technical scheme provided by the embodiment of the invention, after the target information representing the theme of the picture to be recommended is acquired and the picture to be recommended is acquired, the picture to be recommended is put into the target picture filling template to generate a group of picture sets with the same theme to be recommended, so that the steps of manually screening pictures can be avoided, the manual generation of the picture sets with the same theme to be recommended can be avoided, the picture screening efficiency is improved, and certain manual resources can be reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a schematic diagram of a network architecture according to an embodiment of the present invention;
fig. 2 is a schematic flowchart of a picture processing method according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating another method for processing pictures according to an embodiment of the present invention;
FIG. 4 is a flowchart illustrating a further method for processing pictures according to an embodiment of the present invention;
FIG. 5 is a flowchart illustrating a further method for processing pictures according to an embodiment of the present invention;
fig. 6 is a schematic flowchart of a further image processing method according to an embodiment of the present invention;
fig. 7 is a schematic flowchart of still another image processing method according to an embodiment of the present invention;
fig. 8(a) is a simple structure diagram of a picture filling template in the picture processing method according to the embodiment of the present invention;
fig. 8(b) is a simplified structure diagram of another picture filling template in the picture processing method according to the embodiment of the present invention;
fig. 8(c) is a simplified structural diagram of another picture filling template in the picture processing method according to the embodiment of the present invention;
FIG. 9 is a schematic structural diagram of a picture processing apparatus according to an embodiment of the present invention;
FIG. 10 is a schematic structural diagram of another image processing apparatus according to an embodiment of the present invention;
FIG. 11 is a schematic structural diagram of another image processing apparatus according to an embodiment of the present invention;
FIG. 12 is a schematic structural diagram of a still further image processing apparatus according to an embodiment of the present invention;
fig. 13 is a schematic structural diagram of a still another image processing apparatus according to an embodiment of the present invention;
fig. 14 is a schematic structural diagram of a picture processing device according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a picture processing method, a picture processing device and picture processing equipment, which can solve the problem of how to improve the picture screening efficiency.
In order to make those skilled in the art better understand the technical solution of the present invention, the technical solution in the embodiment of the present invention will be clearly and completely described below with reference to the drawings in the embodiment of the present invention, and it is obvious that the described embodiment is a part of the embodiment of the present invention, but not a whole embodiment. 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.
The following are detailed below.
The terms "first," "second," "third," and "fourth," etc. in the description and claims of the invention and the above-described drawings are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "include" and "have," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
The invention relates to a picture processing method, which can comprise the following steps: acquiring target information, wherein the target information is subject information representing a picture to be recommended; screening pictures in a database according to the target information to obtain a picture to be recommended; and putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme.
Referring to fig. 1, fig. 1 is a network architecture that may be used to implement embodiments of the present invention. In the network architecture shown in fig. 1, the method includes: a terminal for uploading pictures; the cloud server stores the pictures and generates a to-be-recommended picture set with the same theme; the system comprises a network which can be used for data transmission and a plurality of authorized terminals which can watch the same theme picture set to be recommended in the cloud server.
The method comprises the steps that a terminal used for uploading pictures shares pictures to be shared to a social platform through a network, a cloud server serving for the social platform stores the shared pictures, after target information representing the theme of the pictures to be recommended is obtained, the shared pictures are screened in a database storing the shared pictures through the target information to obtain the pictures to be recommended, then the pictures to be recommended are placed into a target picture filling template, and a group of picture sets with the same theme to be recommended is generated.
The terminal according to the embodiment of the present invention may be an electronic device, such as a smart phone, a notebook computer, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), and the like, which has a function of processing pictures and can access a network, and the embodiment of the present invention is not limited thereto.
The cloud server in the embodiment of the present invention may be a device providing computing services, the server includes a processor, a hard disk, a memory, a system bus, and the like, and the server is similar to a general computer architecture, but needs to provide highly reliable services, and therefore has high requirements on processing capability, stability, reliability, security, scalability, manageability, and the like.
Referring to fig. 2, fig. 2 is a schematic flow chart of a picture processing method according to an embodiment of the present invention, and as shown in fig. 2, the picture processing method according to an embodiment of the present invention may include the following steps:
s201, target information is obtained, and the target information is theme information representing pictures to be recommended.
The subject information is used to pick up information for pictures such as person a (a photograph about mother), activity B (a photograph about splash water), and scenic spot C (a photograph about the asian gutter). Taking person a as an example, the subject information includes picture type-woman, picture time: 2016/5/8. Optionally, the subject information further includes a picture attention: the number of praise times is more than 30 times, the browsing click rate is more than 100 times, the number of forwarding times is more than 50 times, and the like.
S202, screening the pictures in the database according to the target information to obtain the pictures to be recommended.
It is understood that the picture to be recommended includes at least one picture.
S203, the picture to be recommended is placed into a target picture filling template, and a group of picture sets with the same theme to be recommended is generated.
By adopting the technical scheme provided by the embodiment of the invention, after the target information representing the theme of the picture to be recommended is acquired and the picture to be recommended is acquired, the picture to be recommended is put into the target picture filling template to generate a group of picture sets with the same theme to be recommended, so that the steps of manually screening pictures can be avoided, the manual generation of the picture sets with the same theme to be recommended can be avoided, the picture screening efficiency is improved, and certain manual resources can be reduced.
Optionally, in some possible embodiments of the present invention, before the image in the database is filtered according to the target information to obtain the image to be recommended, as shown in fig. 3, the image processing method may further include:
s301, obtaining the picture uploaded by the user.
The picture uploaded by the user is a picture that the user wants to share, wherein the picture can be a picture uploaded to the social platform by the user so as to be shared with others conveniently. Or the picture is directly uploaded to a picture sharing area for the user, wherein the picture sharing area can be a database specially used for storing the picture which the user wants to share. Generally, a user uploads pictures to a picture sharing area, and the pictures uploaded by the user can be shared to a social platform after a third party is screened.
And S302, acquiring the picture information carried in the picture uploaded by the user.
The picture information is information representing picture attributes, and the picture attributes include a type, a color key, a source, a degree of attention, and the like. It is understood that the picture information includes at least one of, but is not limited to: picture type, picture color key, picture person, picture attention.
The cloud server can identify the uploaded picture through algorithm identification to obtain first part picture information in the picture. The algorithm for identifying the picture can be a color identification algorithm, a shape identification algorithm and a face identification algorithm. The first part of picture information comprises information obtained by identifying picture color key, picture type and the like through an algorithm. In addition, the user can edit the brief introduction of the picture and upload the edit information along with the picture, so that the cloud server can also extract the edit information to obtain the second part of picture information, wherein the second part of picture information comprises the picture owner, the picture type and the picture subject (the picture of a certain activity and a certain scenery). In addition, when the picture is a picture uploaded to the social platform, the attention (the number of praise times, the browsing click rate, the number of forwarding times, and the like) of the picture may be acquired, and the picture attention may be used as the third part of picture information. And summarizing the first part of picture information, the second part of picture information and the third part of picture information … … to obtain the Nth part of picture information.
And S303, generating a label of the corresponding picture according to the picture information.
The labels of the pictures are used for classifying the pictures and identifying the general information of the pictures, so that the needed pictures can be conveniently screened with higher efficiency according to the labels in the follow-up process.
S304, the picture uploaded by the user and the corresponding label are provided for the database.
It should be noted that S301 to S304 may be executed before S201 or before S202, the present invention is not limited thereto, and for convenience of description, fig. 3 shows a flowchart executed before S201.
Optionally, in some possible embodiments of the present invention, the image in the database is filtered according to the target information to obtain an image to be recommended, and the image processing method further includes: s2021, matching the target information with the label corresponding to the picture in the database; and S2022, taking the successfully matched picture as a picture to be recommended.
The S2022 includes various methods for using the successfully matched picture as the picture to be recommended, and four methods are listed here.
The first method, as shown in fig. 4.
S401, when the matching degree reaches the preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected.
The invention is not limited to specific values of the predetermined degree of matching. For example, the predetermined degree of match may be 55%. And if the target information comprises the picture type, the picture color tone and the picture attention. Meanwhile, parameters included in the target information are provided with weight proportions, such as picture type proportion of 0.5, picture color tone proportion of 0.3, and picture attention proportion of 0.2.
And matching the target information with the labels corresponding to the pictures in the database, wherein if the picture type and the picture color key are consistent with the parameter requirements in the target information, the matching degree of the two is 80%.
S402, when the number of the pictures to be selected does not exceed the preset number of the pictures, taking the pictures to be selected as the pictures to be recommended.
The number of recommended pictures is required, and the predetermined number of pictures can be obtained from the target picture filling template.
And S403, when the number of the pictures to be selected exceeds the preset number of pictures, selecting the pictures to be selected with the preset number of pictures as the pictures to be recommended according to the sequence from high matching degree to low matching degree.
It can be seen that the number of pictures to be recommended selected by the first method is equal to the predetermined number of pictures.
The second method, as shown in FIG. 5.
S501, when the matching degree reaches the preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected.
And S502, acquiring the image quality corresponding to the picture to be selected.
Image quality metrics may include smoothness, sharpness, color saturation, and the like.
Meanwhile, the parameters included in the target information are provided with weight ratios, such as 0.3 of finish degree, 0.35 of definition degree and 0.35 of color saturation degree. And obtaining the image quality corresponding to the picture by obtaining the smoothness, the definition and the color saturation in the picture to be selected and multiplying the smoothness, the definition and the color saturation in the picture to be selected by the respective weight ratio.
And S503, when the number of the pictures to be selected does not exceed the preset number of the pictures, taking the pictures to be selected as the pictures to be recommended.
S504, when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected with the image quality degree reaching the preset image quality degree as the pictures to be recommended.
Likewise, the invention is not limited to specific values of the predetermined image quality measure.
It can be seen that, in S304, when the number of the pictures to be selected exceeds the predetermined number of pictures, the pictures to be selected whose image quality reaches the preset image quality metric are selected as the pictures to be recommended, so that there are three cases, in the first case, the number of the pictures to be selected whose image quality reaches the preset image quality metric is selected to be less than the predetermined number of pictures; in the second case, the number of the pictures to be selected, the image quality of which reaches the preset image quality metric, is selected to be equal to the preset number of the pictures; and in the third situation, selecting the number of the pictures to be selected with the image quality reaching the preset image quality degree to be more than the preset number of the pictures.
For the first case, when the number of the finally obtained pictures to be recommended (i.e. the actual number of pictures) is less than the predetermined number of pictures, the actual number of pictures is used as the standard.
For the second case, the actual number of pictures is the predetermined number of pictures.
For the third case, when the number of the finally obtained pictures to be recommended (i.e. the actual number of pictures) is greater than the predetermined number of pictures, selecting the pictures to be selected of the predetermined number of pictures as the pictures to be recommended according to the order from high to low of the picture quality metric of the pictures.
The third method is shown in fig. 6.
S601, when the matching degree reaches the preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected.
And S602, acquiring the image quality corresponding to the picture to be selected.
S603, when the number of the pictures to be selected does not exceed the preset number of the pictures, taking the pictures to be selected as the pictures to be recommended.
And S604, when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected which accord with the comprehensive standard as the pictures to be recommended according to the comprehensive standard of the matching degree and the image quality measurement.
Firstly, the image quality degree also comprises parameters with weight proportion, and secondly, the matching degree and the image quality degree also have weight proportion value.
The comprehensive standard comprises a comprehensive standard value used for measuring whether the picture to be selected can be used as the standard value of the picture to be recommended. And when the comprehensive value is not lower than the comprehensive standard value, the comprehensive value is in accordance with the comprehensive standard, and the corresponding picture can be used as the picture to be recommended.
Similarly, the pictures to be recommended obtained in the third method have the same problem as the second method, that is, the size relationship between the actual number of pictures and the predetermined number of pictures, and the method can be implemented with reference to the solution of the second method.
The fourth method is shown in fig. 7.
And S701, when the matching degree reaches the preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected.
And S702, displaying the picture to be selected in a display area.
And displaying the picture to be selected in a display area so that a user can select the picture.
S703, receiving a selection mark input by the user.
And S704, taking the picture with the selection mark as a picture to be recommended.
In the fourth method, the number of pictures to be recommended has two modes, wherein in the first mode, a preset picture number is set to restrict the number of pictures selected by a user; in the second way, the number of pictures selected is decided by the user.
According to the invention, the labels corresponding to the pictures in the database are matched with the target information, so that the pictures to be recommended can be intelligently selected, and manual and subjective picture screening is avoided.
By way of further example, when the target information includes a picture type-mother and a picture time-2016/5/8, the picture to be recommended obtained by the target information may be displayed as follows:
a first picture: img01, tag # mother/mum/mothers #, 2016/5/8
And a second picture: img02, tag # mother/mum/mothers #, 2016/5/8
And (3) picture III: img03, tag # mother/mum/heat #, 2016/5/8.
And then obtaining img01, img02 and img03 from the database according to the information.
Optionally, in some possible embodiments of the present invention, before the pictures to be recommended are placed in the target picture filling template to generate a group of picture sets to be recommended with the same theme, the picture processing method further includes: how to determine the way in which the target picture fills the template:
in the first mode, a target picture filling template is determined according to the preset number of pictures.
In the second mode, the target picture filling template is determined according to the target information and the preset picture number.
And in the third mode, determining a target picture filling template according to the target information and the actual picture number.
The target information includes information such as a picture type, a picture color tone, and a picture attention. And selecting a template suitable for placing the picture according to the picture type.
In the present invention, several picture fill templates are listed. As shown in fig. 8(a), the picture-filling template is a square of the middle gauge. As shown in fig. 8(b), the picture-filling template is a circular module. As shown in fig. 8(c), the picture-filling template is a template having a part of the horizontal picture and the vertical picture.
With the three types of picture templates shown above, when the picture type included in the target information is a person, the templates shown in fig. 8(a) and 8(b) are preferentially applied, and when the picture to be recommended includes a landscape picture and a portrait picture, the template shown in fig. 8(c) is preferentially applied.
Optionally, in some possible embodiments of the present invention, the placing the picture to be recommended into the target picture filling template to generate a group of picture sets to be recommended with the same theme, including:
and according to each frame information included in the target picture filling template, putting the picture to be recommended into the frame correspondingly.
It is understood that the target picture fill template includes at least one frame information. The frame information may be a time sequence, may be a picture size, may be a picture attention sequence, may be a picture light intensity, may be a scale size of a picture in which a person is located, may be a picture color gradient degree, and the like.
With reference to fig. 8(a), after 4 pictures to be recommended are determined, the positions of the pictures can be determined according to the time of acquiring the pictures (shooting time, downloading time, etc.).
For fig. 8(b), after 5 pictures to be recommended are determined, the position of the picture may be determined according to the height of the picture attention, and the picture with the high picture attention may be placed in a prominent position, such as a C region, where the picture attention may be from high to low: c > A > B > D > E.
For example, in fig. 8(c), after 4 pictures to be recommended are determined, when two horizontal pictures and two vertical pictures appear, the pictures can be put in according to the size of the pictures, and of course, the attention of the pictures is a > D; b is larger than C, and the positions of the two pictures with the same size can be determined according to the attention degree.
When the position of the target picture in which the picture is located in the filling template is determined according to the light intensity of the picture, the light can be sequentially arranged from weak to strong by referring to the position sequence such as a 'one' word, a 'Z' word, an 'N' word and the like. Referring to fig. 8(a), when there are 4 pictures to be recommended, the light ray is in the shape of "Z" from weak to strong, i.e., the area a, the area B, the area D, and the area C.
When the position of the target picture in which the picture is located in the filling template is determined according to the proportion size of the picture in which the person is located or the gradient degree of the picture color, the position of the picture can be determined by referring to the intensity of the light of the picture, which is not described herein in detail.
The above is just to classify some common target information, and when other information appears, the position of the picture filling template where the picture is located can be determined by referring to the above manner.
The invention can effectively solve the problem of manpower generated by software operators in the cloud server database. And identifying the picture characteristics through an automatic algorithm, and classifying and sorting the specific pictures. The picture is convenient to show accurately, and unnecessary pictures are filtered. Meanwhile, the method screens disordered pictures through various dimensions defined in a unified way, so that the error of manpower subjective screening is solved. After the pictures are screened to obtain the pictures to be recommended, the picture templates can be determined intelligently according to the picture types, the picture attention and other information to combine the pictures to be recommended into a group of pictures with the same theme, so that the efficiency of generating the pictures with the same theme and the picture quality are improved
In order to achieve the above object, the present invention further provides a picture processing apparatus 90, as shown in fig. 9, the apparatus 90 includes an obtaining unit 901, a determining unit 902, a generating unit 903, and a storing unit 904.
The acquiring unit 901 is configured to acquire target information, and provide the target information to the determining unit 902, where the target information is subject information representing a picture to be recommended.
The determining unit 902 is configured to filter the pictures stored in the storage unit 904 according to the target information, determine a picture to be recommended, and provide the picture to be recommended to the generating unit 903.
And the generating unit 903 is configured to place the picture to be recommended into the target picture filling template, and generate a group of picture sets to be recommended with the same theme.
A storage unit 904, configured to store the pictures, so that the determining unit 902 selects the picture to be recommended from the pictures.
By adopting the technical scheme provided by the embodiment of the invention, after the target information representing the theme of the picture to be recommended is acquired and the picture to be recommended is acquired, the picture to be recommended is put into the target picture filling template to generate a group of picture sets with the same theme to be recommended, so that the steps of manually screening pictures can be avoided, the manual generation of the picture sets with the same theme to be recommended can be avoided, the picture screening efficiency is improved, and certain manual resources can be reduced.
Optionally, in some possible embodiments of the present invention, before the determining unit 902 determines the picture to be recommended according to the picture in the target information screening database, the obtaining unit 901 is further configured to obtain a picture uploaded by the user, and provide the picture uploaded by the user to the storing unit 904; and acquiring picture information carried in the picture uploaded by the user, wherein the picture information is information representing the picture attribute.
The generating unit 903 is further configured to generate a label of a corresponding picture according to the picture information, and provide the generated label of the picture to the storage unit 904.
The storage unit 904 is configured to map and store the picture uploaded by the user and the corresponding tag thereof.
Optionally, in some possible embodiments of the present invention, before the generating unit 903 puts the picture to be recommended into the target picture filling template, and generates a group of picture sets to be recommended with the same theme, the determining unit 902 is further configured to determine the target picture filling template according to a predetermined number of pictures; or determining a target picture filling template according to the target information and the preset picture number; or determining a target picture filling template according to the target information and the number of the actual pictures.
Optionally, in some possible embodiments of the present invention, the generating unit 903 is configured to put the picture to be recommended into the frame correspondingly according to each frame information included in the target picture filling template. Wherein the target picture filling template comprises at least one frame information;
further, the present invention also provides a picture processing apparatus 100, as shown in fig. 10, the apparatus 100 further includes a matching unit 905.
A matching unit 905, configured to match the target information with a tag corresponding to a picture in the database; then, the determining unit 902 is configured to determine the picture successfully matched as the picture to be recommended.
Further, the present invention also includes an image processing apparatus 110, as shown in fig. 11, the determining unit 902 in the apparatus 110 includes a first selecting module 9021 and a first determining module 9022.
The first selecting module 9021 is configured to select, when the matching degree reaches a predetermined matching degree, a picture that reaches the predetermined matching degree as a picture to be selected.
The first determining module 9022 is configured to determine, when the number of the pictures to be selected does not exceed the predetermined number of pictures, the pictures to be selected as pictures to be recommended; and when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected with the preset number of the pictures according to the sequence from high matching degree to low matching degree, and determining the pictures to be recommended.
Further, the present invention also includes an image processing apparatus 120, as shown in fig. 12, the determining unit 902 in the apparatus 120 includes a second selecting module 9023, a second determining module 9024, and a first obtaining module 9025.
And the second selecting module 9023 is configured to select, when the matching degree reaches the predetermined matching degree, the picture reaching the predetermined matching degree as the picture to be selected.
The first obtaining module 9025 is configured to obtain image quality corresponding to the picture to be selected.
The second determining module 9024 is configured to determine, when the number of the pictures to be selected does not exceed the predetermined number of pictures, the pictures to be selected as pictures to be recommended; and when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected with the image quality reaching the preset image quality metric and determining the pictures to be recommended.
Further, the present invention further includes an image processing apparatus 130, as shown in fig. 13, the determining unit 902 in the apparatus 130 includes a third selecting module 9026, a third determining module 9027, and a second obtaining module 9028.
The third selecting module 9026 is configured to select, when the matching degree reaches a predetermined matching degree, a picture reaching the predetermined matching degree as a picture to be selected;
the second obtaining module 9028 is configured to obtain image quality corresponding to the picture to be selected;
the third determining module 9027 is configured to determine, when the number of the pictures to be selected does not exceed the predetermined number of pictures, the pictures to be selected as pictures to be recommended; and when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected which accord with the comprehensive standard according to the comprehensive standard of the matching degree and the image quality measurement and determining the pictures to be selected as the pictures to be recommended.
It should be noted that fig. 11 to 13 show that each module included in the determining unit 902 and the implementation function corresponding to each module, the present invention may further include an image processing apparatus, and the determining unit 902 in the image processing apparatus may include a first selecting module 9021, a second selecting module 9023, a third selecting module 9026, a first determining module 9022, a second determining module 9024, a third determining module 9027, a first obtaining module 9025, and a second obtaining module 9028.
The detailed description of the function implementation of the above-described apparatus can refer to the corresponding description of the method side shown in fig. 2 to 8, and is not repeated herein.
Further, the present invention also provides a picture processing apparatus 140, as shown in fig. 14, the picture processing apparatus 140 may include: a processor 1401, a memory 1402, a communication interface 1403, and a bus 1404;
the processor 1401, the memory 1402 and the communication interface 1403 are connected through a bus 1404 and communicate with each other;
memory 1402 stores executable program code;
the processor 1401 runs a program corresponding to the executable program code by reading the executable program code stored in the memory 1402, for executing a picture processing method; the picture processing method comprises the following steps:
acquiring target information, wherein the target information is subject information representing a picture to be recommended;
screening pictures in a database according to the target information to obtain a picture to be recommended;
and putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme.
By adopting the technical scheme provided by the embodiment of the invention, after the target information representing the theme of the picture to be recommended is acquired and the picture to be recommended is acquired, the picture to be recommended is put into the target picture filling template to generate a group of picture sets with the same theme to be recommended, so that the steps of manually screening pictures can be avoided, the manual generation of the picture sets with the same theme to be recommended can be avoided, the picture screening efficiency is improved, and certain manual resources can be reduced.
It should be noted that the image processing device in the present invention may be a cloud server.
The embodiment of the invention also provides a storage medium, wherein the storage medium is used for storing an application program, and the application program is used for executing the picture processing method in the embodiment of the invention when running.
The embodiment of the invention also provides an application program, wherein the application program is used for executing the picture processing method in the embodiment of the invention when running.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other manners. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some interfaces, devices or units, and may be an electric or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. 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 and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above-mentioned embodiments are only used for illustrating the technical solution of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (10)
1. An image processing method, comprising:
acquiring target information, wherein the target information is subject information representing a picture to be recommended;
screening pictures in a database according to the target information to obtain the pictures to be recommended;
and putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme.
2. The method according to claim 1, wherein before the screening the pictures in the database according to the target information to obtain the picture to be recommended, the method further comprises:
acquiring a picture uploaded by a user;
acquiring picture information carried in the picture uploaded by the user, wherein the picture information is information representing picture attributes;
generating a label of a corresponding picture according to the picture information;
and providing the picture uploaded by the user and the corresponding label to the database.
3. The method according to claim 2, wherein the pictures in the database are filtered according to the target information to obtain the pictures to be recommended, and the method comprises the following steps:
matching the target information with a label corresponding to a picture in the database;
and taking the successfully matched picture as the picture to be recommended.
4. The method according to claim 3, wherein the picture successfully matched is taken as the picture to be recommended, and the method comprises the following steps:
when the matching degree reaches a preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected;
when the number of the pictures to be selected does not exceed the preset number of pictures, taking the pictures to be selected as the pictures to be recommended;
and when the number of the pictures to be selected exceeds the preset number of pictures, selecting the pictures to be selected with the preset number of pictures as the pictures to be recommended according to the sequence from high matching degree to low matching degree.
5. The method according to claim 3, wherein the picture successfully matched is taken as the picture to be recommended, and the method comprises the following steps:
when the matching degree reaches a preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected;
acquiring image quality corresponding to the picture to be selected;
when the number of the pictures to be selected does not exceed the preset number of pictures, taking the pictures to be selected as the pictures to be recommended;
and when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected with the image quality metric reaching a preset image quality metric as the pictures to be recommended.
6. The method according to claim 3, wherein the picture successfully matched is taken as the picture to be recommended, and the method comprises the following steps:
when the matching degree reaches a preset matching degree, selecting the picture reaching the preset matching degree as a picture to be selected;
acquiring image quality corresponding to the picture to be selected;
when the number of the pictures to be selected does not exceed the preset number of pictures, taking the pictures to be selected as the pictures to be recommended;
and when the number of the pictures to be selected exceeds the preset number of the pictures, selecting the pictures to be selected which accord with the comprehensive standard as the pictures to be recommended according to the comprehensive standard of the matching degree and the image quality measurement.
7. The method according to any one of claims 4 to 6, wherein before the placing the picture to be recommended in the target picture filling template to generate a group of the same subject picture sets to be recommended, the method further comprises:
determining the target picture filling template according to the preset picture number; or,
determining the target picture filling template according to the target information and the preset picture number; or,
and determining the target picture filling template according to the target information and the actual picture number.
8. The method of claim 1, wherein the target picture fill template comprises at least one frame information;
the step of putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme, comprises the following steps:
and putting the picture to be recommended into a frame correspondingly according to each frame information included in the target picture filling template.
9. A picture processing apparatus, comprising:
the device comprises an acquisition unit, a determination unit and a recommendation unit, wherein the acquisition unit is used for acquiring target information and providing the target information to the determination unit, and the target information is subject information representing a picture to be recommended;
the determining unit is used for screening the pictures stored in the storage unit according to the target information, determining the pictures to be recommended and providing the pictures to be recommended to the generating unit;
and the generating unit is used for putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme.
10. A picture processing device, comprising: a processor, a memory, a communication interface, and a bus;
the processor, the memory and the communication interface are connected through the bus and complete mutual communication;
the memory stores executable program code;
the processor runs a program corresponding to the executable program code by reading the executable program code stored in the memory, so as to execute a picture processing method; the picture processing method comprises the following steps:
acquiring target information, wherein the target information is subject information representing a picture to be recommended;
screening pictures in a database according to the target information to obtain the pictures to be recommended;
and putting the pictures to be recommended into a target picture filling template to generate a group of picture sets to be recommended with the same theme.
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| CN111552826B (en) * | 2020-05-06 | 2023-09-29 | 深圳市卡牛科技有限公司 | Example picture generation method and device, computer equipment and storage medium |
| CN111669620A (en) * | 2020-06-05 | 2020-09-15 | 北京字跳网络技术有限公司 | Theme video generation method and device, electronic equipment and readable storage medium |
| CN115205416A (en) * | 2022-08-12 | 2022-10-18 | 广州鼎甲计算机科技有限公司 | Image generation method and device, computer equipment and storage medium |
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| WO2017197959A1 (en) | 2017-11-23 |
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