CN114299196A - Poster automatic generation method and system, storage medium and terminal equipment - Google Patents
Poster automatic generation method and system, storage medium and terminal equipment Download PDFInfo
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Abstract
The present disclosure relates to the field of computer technologies, and in particular, to a method and a system for automatically generating a poster, a storage medium, and a terminal device. The method comprises the following steps: acquiring product information, and analyzing the product information to acquire corresponding material data; wherein the material data includes image data and text data; collecting historical access user information; respectively extracting characteristics of the material data and the historical access user information to obtain characteristic data; wherein the feature data comprises: text feature data, image feature data, and user feature data; and selecting standby material data from a preset material library according to the characteristic data, and generating the poster by combining a preset template. The method and the device can realize automatic generation of the poster and generate the poster based on the fusion result of multiple characteristics.
Description
Technical Field
The present disclosure relates to the field of computer technologies, and in particular, to an automatic poster generation method, an automatic poster generation system, a storage medium, and a terminal device.
Background
With the explosion of various internet platforms, most of the product promotion of telecom operators is the advertising industry through web pages of various platforms or various APPs, which are collectively called advertisement landing pages, and the products are generally displayed on the landing pages in the form of small posters. In the operation process, the exposure degree of the landing page needs to be adjusted regularly according to the click volume condition of each landing page, and the corresponding poster is prepared and manufactured according to the package content. At present, the main use method in the industry is that an operator constructs the design concept of a poster according to the current marketing state and own experience, and selects a certain type of materials. Then the operator communicates with the designer, conveys the idea of poster design to the designer, and the designer is carrying out manual poster design. However, the prior art has certain defects, such as that manual poster design and modification require long-term manual investment, the design style of the poster depends on manual experience, and the poster is not easy to popularize and use widely.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the present disclosure is to provide an automatic poster generation method, an automatic poster generation system, a storage medium, and a terminal device, which overcome, at least to some extent, the disadvantages due to the limitations and disadvantages of the related art.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to a first aspect of the present disclosure, there is provided a method of automatically generating a poster, the method comprising:
acquiring product information, and analyzing the product information to acquire corresponding material data; wherein the material data includes image data and text data; and
collecting historical access user information;
respectively extracting characteristics of the material data and the historical access user information to obtain characteristic data; wherein the feature data comprises: text feature data, image feature data, and user feature data;
and selecting standby material data from a preset material library according to the characteristic data, and generating the poster by combining a preset template.
In an exemplary embodiment of the present disclosure, the product information includes: a visitor type and/or a platform type;
the selecting of standby material data from a preset material library according to the characteristic data comprises the following steps:
and selecting standby material data from a preset material library according to the type of the visitor and/or the type of the platform.
In an exemplary embodiment of the present disclosure, the product information includes: a target poster; the method further comprises the following steps:
analyzing the target poster to obtain corresponding material data; the material data includes: image material and text material;
identifying the image material and the text material to extract material characteristics; and
collecting operation data corresponding to the target poster, and performing feature recognition on the operation data to construct user features;
fusing the material characteristics and the user characteristics to obtain a classification result of the target poster;
and grading and updating the material data in a preset material library based on the classification result of the target poster so as to update the preset material library.
In an exemplary embodiment of the present disclosure, the material characteristics include position information;
the method further comprises the following steps:
selecting an updating material from a preset material library;
and generating an updated poster based on the preset template, the updated material and the position information corresponding to the updated material.
In an exemplary embodiment of the present disclosure, the method further comprises:
identifying the material data to extract corresponding keywords;
and searching related material data according to the keywords, and adding the search result of the related material data to a preset material library.
In an exemplary embodiment of the present disclosure, the method further comprises:
and collecting the operation information of the poster to a target platform, analyzing the operation information, and screening the target poster according to the operation information analysis result.
In an exemplary embodiment of the present disclosure, the operation information analysis result includes any one of or a combination of any more of visitor type distribution, platform type, visit amount, and conversion rate.
According to a second aspect of the present disclosure, there is provided an automatic poster generation system, the system comprising:
the product information analysis module is used for acquiring product information and analyzing the product information to acquire corresponding material data; wherein the material data includes image data and text data; and
the historical access user information acquisition module is used for acquiring historical access user information;
the characteristic extraction module is used for respectively extracting characteristics of the material data and the historical access user information to obtain characteristic data; wherein the feature data comprises: text feature data, image feature data, and user feature data;
and the poster generation module is used for selecting standby material data from a preset material library according to the characteristic data and generating the poster by combining a preset template.
According to a third aspect of the present disclosure, there is provided a storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described poster automatic generation method.
According to a fourth aspect of the present disclosure, there is provided a terminal device comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the poster automatic generation method described above via execution of the executable instructions.
In the automatic poster generation method provided by the embodiment of the disclosure, the corresponding material data is obtained by analyzing the product information, the characteristic extraction is performed on the material data and the historical access user information to obtain the text characteristic data, the image characteristic data and the user characteristic data, the material data is selected from the material library according to a plurality of items of characteristic data to generate the poster, the generation of the poster based on the fusion result of a plurality of items of characteristics is realized, and the automatic generation of the poster is realized.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
Fig. 1 schematically illustrates a schematic diagram of a method of automatic poster generation in an exemplary embodiment of the present disclosure;
FIG. 2 schematically illustrates a flow diagram of a method for automatic poster generation in an exemplary embodiment of the present disclosure;
FIG. 3 schematically illustrates a method flow diagram for processing a target poster in an exemplary embodiment of the disclosure;
FIG. 4 schematically illustrates a schematic diagram of an automatic poster generation system in an exemplary embodiment of the present disclosure;
fig. 5 schematically illustrates a composition diagram of a terminal device in an exemplary embodiment of the present disclosure;
fig. 6 schematically illustrates a schematic diagram of a storage medium in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
In the related art, when designing posters, operators convert product information into advertising communication operations according to experience, communicate with poster designers to manufacture a series of candidate posters, and naturally adjust poster design according to feedback information. The production of the poster requires operators to design the operation and the expression form of the poster according to experience and information feedback, communication with designers is required, the idea is converted into the actual poster, long-term manual input is required in the process, and the designers cannot accurately understand the description of the operators. And the design style of the poster depends on manual experience, so that the poster is not easy to popularize and widely use. Or, some automatic poster generation methods generally adopt a simple method of combining image and text materials according to a template, and do not really understand the true content of the poster, and the generated poster has no strong pertinence and pertinence. The evaluation system based on the poster generation system can only simply evaluate the poster as a picture, for example, the quality of the picture, the overall harmony and attractiveness and the like are evaluated, but the effect of the poster as a product popularization means cannot be evaluated.
In view of the above-described drawbacks and deficiencies of the prior art, an automatic poster generation method is provided in the present exemplary embodiment. Referring to fig. 1, the automatic poster generation method described above may include the steps of:
step S11, acquiring product information, and analyzing the product information to acquire corresponding material data; wherein the material data includes image data and text data; and
step S12, collecting historical access user information;
step S13, respectively extracting the characteristics of the material data and the historical access user information to obtain characteristic data; wherein the feature data comprises: text feature data, image feature data, and user feature data;
and step S14, selecting standby material data from a preset material library according to the characteristic data, and generating a poster by combining a preset template.
According to the automatic poster generation method provided by the embodiment of the example, the material data and the historical visiting users are subjected to feature extraction, the materials are selected based on the extracted feature data, the poster is generated, the automatic poster generation method based on multi-mode fusion is achieved, and compared with the traditional simple image feature extraction training, more features can be learned.
Hereinafter, each step of the poster automatic generation method in the present exemplary embodiment will be described in more detail with reference to the drawings and examples.
In step S11, acquiring product information, and analyzing the product information to acquire corresponding material data; wherein the material data includes image data and text data.
In the present exemplary embodiment, the above-described method may be performed by a server; alternatively, the present invention may be implemented by a server and a user terminal cooperatively performing. For example, a user may send a poster generation request, which may include product information, to a server on a terminal device. For example, the product information may include information about a telecommunications product to be marketed by the operator, such as information about a telephone package. The product information may include text information, picture information and other contents; the picture information may be image data that the operator has made; in addition, information such as a target user type, a platform type to be laid out and the like can be included. After receiving the poster generation request, the server side can create a poster generation task. And the server executes the poster generation task, reads and analyzes product data, extracts text data and image data contained in the product data, and takes the text data and the image data as materials to be used.
In step S12, the history access user information is collected.
In this example embodiment, the corresponding historical access user information may also be collected according to the floor pages to be deployed of the poster. For example, periodic data of a preset statistical duration may be collected. In some exemplary embodiments, the poster generation request of the user side can include a specific landing page to be deployed of the poster; alternatively, it may be an environmental parameter of the poster delivery, such as the type of environment. Such as an end-application environment, a computer web environment, or other page pop-up environment.
In step S13, feature extraction is performed on the material data and the historical access user information, respectively, to obtain feature data; wherein the feature data comprises: text feature data, image feature data, and user feature data.
In the present exemplary embodiment, the image data may be subjected to image recognition, a corresponding image recognition result may be obtained, and a corresponding keyword may be determined according to the image recognition result. For example, the image recognition result may be an image style, image content, and the like. Wherein, the image content can be the recognition result of animals and human figures; more specifically, the identification result of the elderly, children, and young people may be used. The image style may be a preset image style type such as an animation style, a refreshing style, and the like. In addition, the image data can be subjected to OCR recognition, text content contained in the image data is extracted, keywords of an image recognition result are determined by combining the text content, and the keywords are used as image characteristic data. For text data, word segmentation processing can be performed on the text data, keywords in the text data are extracted, and the keywords are used as text feature data. For the historical access user information, for example, the historical access user information may include a landing page platform, and contents such as visitor types, platform types, access times, conversion rates and the like corresponding to each piece of access data in the statistical period. And obtaining user characteristic data, such as information of the distribution of the types of the visitors, the types of the platforms, the visiting amount, the relevance between the types of the visitors and the visiting amount, and the like, by counting and analyzing the historical visiting user information.
In step S14, the material data to be used is selected from a preset material library according to the feature data, and a poster is generated by combining with a preset template.
In this example embodiment, a material library may be preset, where the material library may include template data of different types of application scenes, and image materials and text materials; in addition, the method can also comprise the association relationship among various types of materials, the user type and the platform type. That is, the material library includes a plurality of types of data and an association relationship between the types of data.
After the characteristic data is determined in the steps, the material data with the highest matching degree can be selected from the material library by using the keywords. And arranging the selected material data in the template by using a preset template so as to generate the poster.
Alternatively, in some exemplary real-time approaches, the product information may include: operator specified visitor type and/or platform type. Then when the material data to be used is selected, the material data to be used can be selected from the material library based on the text characteristic data, the keywords of the image characteristic data, and the specified visitor type and/or platform type. And arranging the selected material data in the template by using a preset template so as to generate the poster.
For example, after the server generates a poster, the poster may be returned to the user terminal. In addition, the poster may also be deployed to a platform.
In some exemplary embodiments, after the poster is generated and released, the released poster may be iteratively updated; or generating a new poster according to the high-quality poster selected by the user. Specifically, the method may further include:
step S21, analyzing the target poster to obtain corresponding material data; the material data includes: image material and text material;
step S22, identifying the image material and the text material to extract material characteristics; and
step S23, collecting operation data corresponding to the target poster, and performing feature recognition on the operation data to construct user features;
step S24, fusing the material characteristics and the user characteristics to obtain the classification result of the target poster;
and step S25, scoring and updating the material data in a preset material library based on the classification result of the target poster so as to update the preset material library.
Specifically, the target poster may be product information handled by a user side; the target poster may contain content such as images, text, etc. Referring to fig. 3, for the target poster, target detection can be performed on the target poster by using a Faster-RCNN target detection model, and the image in the target poster is subjected to target detection, so that a preliminary image recognition result is obtained. For the identified image, the target detection can be carried out again to identify the image content; in addition, it may be subjected to OCR (Optical Character Recognition) to recognize text content included in the image. And extracting the image recognition result and the text content, determining corresponding keywords, and adding the keywords into a preset keyword list. For text content, the trained feature extraction model can be used for extracting text features.
In addition, the convolutional neural network VGG-19 can be used for extracting the image features of the target poster, and the full connection layer and the pooling layer are used for sequentially carrying out sampling and Feature extraction to output the image features of the Visual Feature.
For user access information, i.e. operational data of the target poster, a numerical characteristic and a classification characteristic may be included. For example, the numerical characteristic may be a numerical characteristic of the user's age, height, weight, advertisement page click-through rate, and the like. The classification characteristics can be category data such as visitor type distribution, platform type and the like. Extracting numerical characteristics in the operation data, including:
fn＝z_score[fa,fb,…,fk]
wherein f isnRefers to a composite score of numerical features such as the user's age, height, weight, click-through rate of the advertisement page, and the like.
For text features in the operation data, the method may include:
fc＝[tsvd(fname),tsvd(fplat),…,tsvd(fpro)]
wherein f iscRefers to features of some text types such as, for example, long, mediumThe level of birth, housewives, etc.
Fusing the two types of feature data through concat calculation, which may include:
fs＝Concat[fn,fc]
wherein f issIs to mix fnAnd fcThe fusion mode may be a joint or weighted calculation mode.
After calculating the feature data of the image feature, the text feature and the operation data, fusion calculation can be performed to realize association collocation of multiple types of features, which includes:
fF＝Concatenation[fs,fimg,ftxt]
wherein f isFIs to place f from the vector levels、fimg、ftxtAnd performing head-to-tail splicing or other connection mode calculation.
And classifying the target poster according to the result of the fusion calculation. The classification result may be a rating evaluation result of the target poster or may be a scoring result. And based on the scoring result, scoring the text material and the image material in the target poster by using a scoring module. And correspondingly adjusting the weights of the materials in the material library based on the material scoring result to update the material library.
And then, selecting new materials by using the keywords in the updated material library, and generating candidate posters based on the template to realize the update of the existing posters. And selecting high-quality poster materials and generating a new poster by taking the material position information extracted in the characteristic extraction process as a reference and taking a preset template as a frame. Because the materials have learned the relevant position information in the learning process, the template can not excessively limit the positions of the materials, and mainly limits the material boundaries, the material quantity, semantic conflicts and other relevant aspects among the materials. And putting the updated candidate poster, collecting related access data, and realizing information feedback of the poster. And then screening the high-quality poster according to the feedback information. In the next cycle, the high-quality poster can be processed again, and iterative updating of the poster is achieved.
In some exemplary embodiments, the material characteristics include location information. The method further comprises the following steps: selecting an updating material from a preset material library; and generating an updated poster based on the preset template, the updated material and the position information corresponding to the updated material.
Specifically, when feature extraction is performed on the material in the poster, position information of each material can also be learned. And stores the location information in a material library. When a new poster is generated, the material can be automatically added according to the position information of the material in the template.
In some exemplary embodiments, the method further comprises: identifying the material data to extract corresponding keywords; and searching related material data according to the keywords, and adding the search result of the related material data to a preset material library.
Specifically, after extracting keywords of text materials and image materials, the keywords can be used for searching the internet, and other contents corresponding to the keywords are searched to serve as updating materials and added to a material library.
In some exemplary embodiments, the method further comprises: and collecting the operation information of the poster to a target platform, analyzing the operation information, and screening the target poster according to the operation information analysis result.
For example, the operation information of a part of platforms can be collected and analyzed, high-quality posters can be screened according to information such as access amount and conversion rate, and the high-quality posters can be used as target posters. Alternatively, the target poster may be parsed and stories extracted to update the story library when no new posters need to be generated.
Referring to the method flowchart shown in fig. 2, after product information, a material provided by each product for making a poster, and landing pages access user information are acquired, and then, during initialization, corresponding materials can be selected for different user types according to prior experience. The selected text material and image material are then combined to form a set of poster data. The method can automatically learn the design style and the dialect of the high-quality poster and automatically generate the poster, so that the automation of poster generation can be realized by liberating manpower, and more high-quality poster design styles can be learned by poster design without being influenced by the subjective of personnel, so that a poster design system is more universal. Meanwhile, a multi-mode fusion poster quality assessment scheme fusing operation data is provided, and the quality of a poster can be assessed according to operation data such as the click rate conversion rate of the poster, a marketing platform, user group attributes and the like.
Compared with the prior art, the method can fuse the image text and the operation related state information of the floor page platform where the poster is located based on a multi-mode fusion technology, and can learn more features compared with the traditional simple image feature extraction training. Through evaluating the poster quality, targeted training can be carried out aiming at advertisement putting state information, and the effect of evaluating the poster better compared with the traditional image quality evaluation can be better. In addition, the method can train the model according to various operation data fed back by the advertising delivery production environment through multi-mode feature fusion and deep learning technology without depending on professional operators and poster designers. And learning the style of the high-quality poster, selecting high-quality materials and generating a candidate poster. And the poster quality evaluation system evaluates the quality of the sea bag and adjusts the delivery of the poster according to the result.
It is to be noted that the above-mentioned figures are only schematic illustrations of the processes involved in the method according to an exemplary embodiment of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Further, as shown in fig. 4, an automatic poster generation system 40 according to an embodiment of the present example includes: a product information analysis module 401, a history access user information acquisition module 402, a feature extraction module 403 and a poster generation module 404. Wherein the content of the first and second substances,
the product information analysis module 401 may be configured to obtain product information, and analyze the product information to obtain corresponding material data; wherein the material data includes image data and text data.
The historical access user information collection module 402 may be used to collect historical access user information.
The feature extraction module 403 may be configured to perform feature extraction on the material data and the historical access user information respectively to obtain feature data; wherein the feature data comprises: text feature data, image feature data, and user feature data.
The poster generation module 404 may be configured to select standby material data from a preset material library according to the feature data, and generate a poster by combining a preset template.
In the present exemplary embodiment, the product information includes: a visitor type and/or a platform type; the poster generation module 404 may select the standby material data from a preset material library according to the visitor type and/or the platform type.
In the present exemplary embodiment, the product information includes: a target poster; the system 40 may further include: and (5) an iterative updating module.
The iterative update module can be used for analyzing the target poster to obtain corresponding material data; the material data includes: image material and text material; identifying the image material and the text material to extract material characteristics; collecting operation data corresponding to the target poster, and performing feature recognition on the operation data to construct user features; fusing the material characteristics and the user characteristics to obtain a classification result of the target poster; and grading and updating the material data in a preset material library based on the classification result of the target poster so as to update the preset material library.
In the present exemplary embodiment, the material characteristics include position information. The iterative update module may further include: selecting an updating material from a preset material library; and generating an updated poster based on the preset template, the updated material and the position information corresponding to the updated material.
In the present exemplary embodiment, the system 40 may further include: and a material updating module.
The material updating module can be used for identifying the material data to extract corresponding keywords; and searching related material data according to the keywords, and adding the search result of the related material data to a preset material library.
In this exemplary embodiment, the iterative update module may be configured to collect operation information of a poster for a target platform, analyze the operation information, and filter the target poster according to an operation information analysis result.
In the present exemplary embodiment, the operation information analysis result includes any one or a combination of any more of visitor type distribution, platform type, visit amount, and conversion rate.
The specific details of each module in the automatic poster generation system are described in detail in the corresponding automatic poster generation method, and therefore are not described herein again.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In an exemplary embodiment of the present disclosure, there is also provided a computer system capable of implementing the above method.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
The terminal device 500 according to this embodiment of the present invention is described below with reference to fig. 5. The terminal device 500 shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, terminal device 500 is in the form of a general purpose computing device. The components of computer system 600 may include, but are not limited to: the at least one processing unit 610, the at least one memory unit 620, and a bus 630 that couples the various system components including the memory unit 620 and the processing unit 610.
Wherein the storage unit stores program code that is executable by the processing unit 610 to cause the processing unit 610 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The computer system 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the computer system 600, and/or with any devices (e.g., router, modem, etc.) that enable the computer system 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. The display unit 640 may also be connected through an input/output (I/O) interface. Moreover, computer system 600 may also communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN) and/or a public network such as the Internet) via network adapter 660. As shown, network adapter 660 communicates with the other modules of computer system 600 via bus 630. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with computer system 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
Referring to fig. 6, a program product 100 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.
Claims (10)
1. A method for automatically generating a poster, the method comprising:
acquiring product information, and analyzing the product information to acquire corresponding material data; wherein the material data includes image data and text data; and
collecting historical access user information;
respectively extracting characteristics of the material data and the historical access user information to obtain characteristic data; wherein the feature data comprises: text feature data, image feature data, and user feature data;
and selecting standby material data from a preset material library according to the characteristic data, and generating the poster by combining a preset template.
2. An automatic poster generation method as defined in claim 1, wherein the product information comprises: a visitor type and/or a platform type;
the selecting of standby material data from a preset material library according to the characteristic data comprises the following steps:
and selecting standby material data from a preset material library according to the type of the visitor and/or the type of the platform.
3. An automatic poster generation method as defined in claim 1, wherein the product information comprises: a target poster; the method further comprises the following steps:
analyzing the target poster to obtain corresponding material data; the material data includes: image material and text material;
identifying the image material and the text material to extract material characteristics; and
collecting operation data corresponding to the target poster, and performing feature recognition on the operation data to construct user features;
fusing the material characteristics and the user characteristics to obtain a classification result of the target poster;
and grading and updating the material data in a preset material library based on the classification result of the target poster so as to update the preset material library.
4. A poster automatic generation method as claimed in claim 3, characterised in that the material characteristics comprise position information;
the method further comprises the following steps:
selecting an updating material from a preset material library;
and generating an updated poster based on the preset template, the updated material and the position information corresponding to the updated material.
5. A poster automatic generation method as claimed in claim 3, characterised in that the method further comprises:
identifying the material data to extract corresponding keywords;
and searching related material data according to the keywords, and adding the search result of the related material data to a preset material library.
6. A poster automatic generation method as claimed in claim 1 or 3, characterized in that the method further comprises:
and collecting the operation information of the poster to a target platform, analyzing the operation information, and screening the target poster according to the operation information analysis result.
7. The automatic poster generation method according to claim 3, wherein the operation information analysis result includes any one or a combination of any more of visitor type distribution, platform type, visit amount, conversion rate.
8. An automatic poster generation system, characterized in that the system comprises:
the product information analysis module is used for acquiring product information and analyzing the product information to acquire corresponding material data; wherein the material data includes image data and text data; and
the historical access user information acquisition module is used for acquiring historical access user information;
the characteristic extraction module is used for respectively extracting characteristics of the material data and the historical access user information to obtain characteristic data; wherein the feature data comprises: text feature data, image feature data, and user feature data;
and the poster generation module is used for selecting standby material data from a preset material library according to the characteristic data and generating the poster by combining a preset template.
9. A storage medium having stored thereon a computer program which, when executed by a processor, implements the poster automatic generation method of any of claims 1 to 7.
10. A terminal device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the poster automatic generation method of any of claims 1 to 7 via execution of the executable instructions.
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Cited By (1)
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| CN117274429A (en) * | 2023-08-23 | 2023-12-22 | 北京安锐卓越信息技术股份有限公司 | Poster picture generation method and device, electronic equipment and storage medium |
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| CN112598448A (en) * | 2020-12-29 | 2021-04-02 | 恩亿科(北京)数据科技有限公司 | Dynamic material data processing method, system, computer and readable storage medium |
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| US10438264B1 (en) * | 2016-08-31 | 2019-10-08 | Amazon Technologies, Inc. | Artificial intelligence feature extraction service for products |
| CN108694602A (en) * | 2017-04-11 | 2018-10-23 | 阿里巴巴集团控股有限公司 | Promotional literature generation method and device |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN117274429A (en) * | 2023-08-23 | 2023-12-22 | 北京安锐卓越信息技术股份有限公司 | Poster picture generation method and device, electronic equipment and storage medium |
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