CN115860829A - Intelligent advertisement image generation method and device - Google Patents
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Abstract
The embodiment of the invention discloses a method and a device for generating an intelligent advertisement image, wherein the method comprises the following steps: responding to an advertisement image making instruction, and selecting a target advertisement template from the advertisement templates, wherein the advertisement image making instruction comprises an advertisement type and an advertisement demand; selecting an advertisement main graph from an image library based on the advertisement type and the advertisement demand, and adding the advertisement main graph into a target advertisement template; selecting a matched file from a file library based on the advertisement demand, and displaying the matched file; and receiving a document selection instruction, selecting a corresponding document as a target document according to the document selection instruction, and adding the target document to the target advertisement template to generate an advertisement image. The embodiment fully considers the personalized advertisement making information contained in the advertisement image making instruction, and combines the advertisement requirements to perform personalized image selection and personalized document matching, so that not only is intelligent automation realized and the dependence on manpower reduced, but also the generated advertisement image has high matching degree with the user requirements, and the advertisement image making is more accurate.
Description
Technical Field
The invention relates to the technical field of computer image processing, in particular to an intelligent advertisement image generation method and device.
Background
Since the advertisement plays a very important role in commerce, especially with the development of electronic commerce, the demand of the advertisement is continuously increased, and in addition, in order to adapt to the development of trend, the merchant may require the designer to modify the advertisement according to different subjects, thereby further increasing the iteration speed of the advertisement, and leading the task of the designer to be heavier and heavier.
In order to solve the above problems, people look to an automatic advertisement generation method, but in the prior art, either advertisement elements are extracted from many existing advertisements and added into a fixed template, a new advertisement is generated only by simple modification, and the method has no personalized automatic generation effect, or has higher dependency on designers.
Disclosure of Invention
Aiming at the defects, the embodiment of the invention discloses an intelligent advertisement image generation method and device, which can automatically generate individual advertisement images and reduce the manual design cost.
The first aspect of the embodiment of the invention discloses an intelligent advertisement image generation method, which comprises the following steps:
selecting a target advertisement template from advertisement templates in response to an advertisement image making instruction, wherein the advertisement image making instruction comprises an advertisement type and an advertisement requirement;
selecting an advertisement main graph from an image library based on the advertisement type and the advertisement demand, and adding the advertisement main graph to the target advertisement template;
selecting a matched file from a file library based on the advertisement demand, and displaying the matched file;
receiving a file selection instruction, selecting a corresponding file as a target file according to the file selection instruction, and adding the target file into a target advertisement template to generate an advertisement image.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, a making manner of the advertisement template includes:
acquiring a plurality of historical advertisement images, and classifying according to advertisement types respectively corresponding to the historical advertisement images;
and respectively removing the main body and the file in all the historical advertisement images to obtain the advertisement templates, and attributing the advertisement templates corresponding to the historical advertisement images with the main body and the file removed to the corresponding categories.
As an alternative implementation manner, in the first aspect of the embodiment of the present invention, the selecting an advertisement main map from an image library based on the advertisement type and the advertisement requirement includes:
screening a main map of a corresponding category from an image library based on the advertisement type;
and extracting image keywords in the advertisement demand, and matching the advertisement main map from the main map according to the image keywords.
As an alternative implementation manner, in the first aspect of the embodiment of the present invention, the matching of the advertisement main map from the main map according to the image keyword includes:
analyzing color requirements, image subject requirements, image pixel requirements and image shooting angle requirements contained in the image keywords;
matching in sequence based on the image keywords, and selecting at least one main image as a secondary target image;
obtaining the use score of each secondary target image and the preset evaluation weight corresponding to each secondary target image;
and calculating the priority index of each secondary target map according to the usage score and the preset evaluation weight, and taking the secondary target map with the highest priority index as the advertisement main map.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the sequentially matching based on the image keywords, and selecting at least one main graph as the secondary target graph includes:
respectively calculating the matching degree between each image keyword and the main image;
and when the matching degree between each image keyword and the main graph meets the corresponding preset matching degree threshold value, selecting the main graph as a secondary target graph.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the selecting a matching document from a document library based on an advertisement demand includes:
extracting the pattern key words in the advertisement requirements, wherein the pattern key words comprise pattern style, pattern word number and pattern type;
and selecting a matched file from a file library according to the file keywords.
As an optional implementation manner, in the first aspect of the embodiment of the present invention, the selecting a matching document from a document library based on an advertisement demand includes:
extracting a case requirement in the advertisement requirement, wherein the case requirement comprises case keywords and case words;
when the case requirement is a case keyword, selecting a matching scheme from a case library according to the case keyword;
when the case requirement is a case character sentence, matching the case character sentence with a case template of a case library, and respectively calculating similarity;
and selecting the document template with the highest similarity as a matching party document.
A second aspect of the embodiments of the present invention discloses an intelligent advertisement image generating apparatus, including:
the instruction response module: the advertisement image making method comprises the steps of responding to an advertisement image making instruction, and selecting a target advertisement template from advertisement templates, wherein the advertisement image making instruction comprises an advertisement type and an advertisement demand;
the main picture selecting module: the advertisement main map is selected from an image library based on the advertisement type and the advertisement demand, and the advertisement main map is added into the target advertisement template;
the file selecting module: the system is used for selecting a matched file from a file library based on the advertisement demand and displaying the matched file;
an image generation module: the system is used for receiving the file selection instruction, selecting the corresponding file as a target file according to the file selection instruction, and adding the target file into a target advertisement template to generate an advertisement image.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, a making manner of the advertisement template includes:
acquiring a plurality of historical advertisement images, and classifying according to advertisement types respectively corresponding to the historical advertisement images;
and respectively removing the main body and the file in all the historical advertisement images to obtain the advertisement templates, and attributing the advertisement templates corresponding to the historical advertisement images with the main body and the file removed to the corresponding categories.
As an alternative implementation manner, in the second aspect of the embodiment of the present invention, the selecting an advertisement main map from an image library based on the advertisement type and the advertisement requirement includes:
screening a main map of a corresponding category from an image library based on the advertisement type;
and extracting image keywords in the advertisement demand, and matching the advertisement main map from the main map according to the image keywords.
As an alternative implementation manner, in the second aspect of the embodiment of the present invention, the matching of the advertisement main map from the main map according to the image keyword includes:
analyzing color requirements, image main body requirements, image pixel requirements and image shooting angle requirements contained in the image keywords;
matching in sequence based on the image keywords, and selecting at least one main image as a secondary target image;
obtaining the use score of each secondary target image and the preset evaluation weight corresponding to each secondary target image;
and calculating the priority index of each secondary target map according to the usage score and the preset evaluation weight, and taking the secondary target map with the highest priority index as the advertisement main map.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the sequentially matching based on the image keywords, and selecting at least one main graph as the secondary target graph includes:
respectively calculating the matching degree between each image keyword and the main image;
and when the matching degree between each image keyword and the main graph meets the corresponding preset matching degree threshold value, selecting the main graph as a secondary target graph.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the selecting a matching document from the document library based on the advertisement requirement includes:
extracting the pattern key words in the advertisement requirements, wherein the pattern key words comprise pattern style, pattern word number and pattern type;
and selecting a matched file from a file library according to the file keywords.
As an optional implementation manner, in the second aspect of the embodiment of the present invention, the selecting a matching document from the document library based on the advertisement requirement includes:
extracting a case requirement in the advertisement requirement, wherein the case requirement comprises case keywords and case sentences;
when the case requirement is a case keyword, selecting a matching scheme from a case library according to the case keyword;
when the case requirement is a case character sentence, matching the case character sentence with a case template of a case library, and respectively calculating similarity;
and selecting the document template with the highest similarity as a matching party document.
A third aspect of an embodiment of the present invention discloses an electronic device, including: a memory storing executable program code; a processor coupled with the memory; the processor calls the executable program code stored in the memory to execute the intelligent advertisement image generation method disclosed by the first aspect of the embodiment of the invention.
A fourth aspect of the embodiments of the present invention discloses a computer-readable storage medium storing a computer program, where the computer program causes a computer to execute the method for generating an intelligent advertisement image disclosed in the first aspect of the embodiments of the present invention.
Compared with the prior art, the embodiment of the invention has the following beneficial effects:
the intelligent advertisement image generation method provided by the embodiment of the invention selects the target advertisement template based on the advertisement image making instruction, automatically selects the advertisement main image from the image library, automatically matches the document from the document library and finally generates the advertisement image.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described 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 that other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a flow chart illustrating a method for generating an image of a smart advertisement according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating another method for generating a smart advertisement image according to an embodiment of the present invention;
FIG. 3 is a flow chart illustrating another method for generating a smart advertisement image according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of an intelligent advertisement image generation apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first", "second", "third", "fourth", and the like in the description and the claims of the present invention are used for distinguishing different objects, and are not used for describing a specific order. The terms "comprises," "comprising," and any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the invention discloses an intelligent advertisement image generation method, an intelligent advertisement image generation device, electronic equipment and a storage medium, wherein a target advertisement template is selected based on an advertisement image making instruction, an advertisement main graph is automatically selected from an image library, a file is automatically matched from a file library, and an advertisement image is finally generated.
Example one
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a method for generating an intelligent advertisement image according to an embodiment of the present invention. The execution main body of the method described in the embodiment of the present invention is an execution main body composed of software or/and hardware, and the execution main body may receive related information in a wired or/and wireless manner and may send a certain instruction. Of course, it may also have certain processing and storage functions. The execution body may control a plurality of devices, such as a remote physical server or a cloud server and related software, or may be a local host or a server and related software for performing related operations on a device installed somewhere. In some scenarios, multiple storage devices may also be controlled, which may be co-located with the device or located in a different location. As shown in fig. 1, the smart advertisement image generating method includes the steps of:
101. and responding to an advertisement image making instruction, and selecting a target advertisement template from the advertisement templates, wherein the advertisement image making instruction contains an advertisement type and an advertisement demand.
In the embodiment, when the user has the advertisement generation requirement, the advertisement image making instruction can be input through the instruction input inlet of the brake. Where the user may be an advertisement designer, may be a product vendor, and so on. The user can carry out identity authentication through a login entry of a certain application program, enters a main interface after the authentication is passed, and inputs the instruction through an advertisement image making instruction entry, wherein the instruction inputting mode can be active writing or gradual selection from the existing options.
The advertisement template of the embodiment is a template with a specific format, a specific size and different advertisement element placement position settings, and a large enough number of advertisement templates are set in advance for different advertisement types and different delivery channels, so that when a user inputs an advertisement type, a plurality of advertisement templates matched with the advertisement type are selected, and then a target advertisement template is selected by combining advertisement requirements, including advertisement size, image pixels, element placement position requirements and the like.
102. And selecting an advertisement main map from an image library based on the advertisement type and the advertisement demand, and adding the advertisement main map into the target advertisement template.
The advertisement types of the embodiments can be classified according to different situations, for example, the embodiments can define the advertisement types to be a pure text type or a text-text combined type according to specific text contents, or the embodiments can define the advertisement types to be Chinese advertisements and foreign language advertisements according to different text languages, and can also define the advertisement types to be public interest advertisements, profit advertisements, and the like according to the purpose of the advertisements.
According to different advertisement types, the embodiment firstly selects the corresponding target advertisement template, screens a plurality of advertisement main graphs aiming at the advertisement types on the basis, and further screens the advertisement main graphs from the advertisement main graphs by combining the advertisement requirements. The advertisement requirements comprise that a main figure is a character or an animal, the animal is specifically the animal, the character is specifically a celebrity or a star, or a certain entrepreneur, and the like, and the advertisement requirements can also comprise image pixels, image shooting angles, image colors, and the like. And screening the advertisement main graph based on the advertisement requirement, and adding the advertisement main graph to the specified position of the target advertisement template after screening.
103. And selecting a matched file from the file library based on the advertisement demand, and displaying the matched file.
The advertisement image generated by the embodiment usually needs corresponding text description, namely, the file of the embodiment. Before the step, the method can also comprise the step of inquiring whether the user inserts the file, and when the response confirmed by the user is received, selecting the matched file from the file library. The method comprises the steps of storing various character types, different word numbers, different narration styles and different expression modes in a file library, wherein advertisement requirements comprise image requirements and file requirements, specific file requirements comprise the character types, namely the voice characters of which countries, poetry, loose texts or common character descriptions, and the character descriptions comprise normal narrative, reverse narrative, paraphrase, metaphor, question reversal and other retrieval methods and file keywords so that files meeting requirements can be searched for more accurately according to file keywords.
104. Receiving a file selection instruction, selecting a corresponding file as a target file according to the file selection instruction, and adding the target file into a target advertisement template to generate an advertisement image.
In the embodiment, after the documents are matched, the documents are sent to the user and displayed on the user terminal, where the user terminal refers to a device, including a computer, a smart phone, and the like, through which the user logs in an application program, and the smart terminal can start generation of an advertisement image, and has functions of instruction input, option selection, result display, and the like. In this step, the user may directly select an existing one of the plurality of documents as the target document, or may select a most suitable document, and a document selection instruction is generated, but after selecting the document, the user may appropriately modify the document, and determine the modified document, and the modified document becomes the target document as the document corresponding to the document selection instruction.
Example two
Fig. 2 illustrates another smart advertisement image generation method disclosed in the embodiment of the present application, and as shown in fig. 2, the smart advertisement image generation method includes the following steps:
201. and responding to an advertisement image making instruction, and selecting a target advertisement template from the advertisement templates, wherein the advertisement image making instruction contains an advertisement type and an advertisement demand.
In this step, the manufacturing method of the advertisement template includes: acquiring a plurality of historical advertisement images, and classifying according to advertisement types respectively corresponding to the historical advertisement images; and respectively removing the main body and the file in all the historical advertisement images to obtain the advertisement templates, and attributing the advertisement templates corresponding to the historical advertisement images with the main body and the file removed to the corresponding categories.
The historical advertisement image can be obtained by screening the published advertisements, removing repeated advertisements, poor image quality, or the advertisements which are not in accordance with the current aesthetic sense, and the like, keeping the good-quality historical advertisement image, and then removing the advertisement elements in the historical advertisement image, such as the advertisement file, the advertisement image, the title and the like, and only leaving a blank template.
202. A main map of the corresponding category is screened from the image library based on the advertisement type.
For example, if the advertisement type is a public service type advertisement, a main graph belonging to a public service class is screened from the image library. The image library can acquire materials from historical advertisement images, and can also crawl corresponding news platforms, consumption platforms and the like to collect advertisement images for archiving at ordinary times.
203. Extracting an image keyword in an advertisement demand, matching an advertisement main pattern from the main pattern according to the image keyword, and adding the advertisement main pattern to the target advertisement template.
Further, in the step, after extracting the image keywords in the advertisement requirement, analyzing the color requirement, the image main body requirement, the image pixel requirement and the image shooting angle requirement contained in the image keywords; matching in sequence based on the image keywords, and selecting at least one main image as a secondary target image; obtaining the use score of each secondary target image and the preset evaluation weight corresponding to each secondary target image; and calculating the priority index of each secondary target map according to the usage score and the preset evaluation weight, and taking the secondary target map with the highest priority index as the advertisement main map.
Illustratively, image keywords input by a user comprise a puppy, a white image and a frontal image, the keywords are sequentially matched, firstly, an image of the puppy is selected, secondly, an image of the white puppy is selected, finally, an image with a shooting angle of the frontal image is selected, after the keywords are screened, 3 images are left to serve as secondary target images, and one image is screened out from the 3 images to serve as an advertisement main image. In combination with the selection method of the embodiment, the click rate and the conversion rate of the 3 graphs can be used as the usage score, the higher the click rate and the conversion rate, the higher the usage score, the usage score is judged from the perspective of the audience watching the advertisement, the preset evaluation weight can be judged from the perspective of the designer or the person or unit sending the advertisement and eager to bring certain revenue or other effects through the advertisement, the preset evaluation weight is set in advance and is usually set to be a number smaller than 1 but larger than 0, and the priority index of each sub-target graph is obtained by multiplying the score by the preset evaluation weight.
In the above, matching is performed in sequence based on the image keywords, and at least one main graph is selected as the secondary target graph, which specifically includes: respectively calculating the matching degree between each image keyword and the main image; and when the matching degree between each image keyword and the main graph meets the corresponding preset matching degree threshold value, selecting the main graph as a secondary target graph.
204. And extracting the pattern keywords in the advertisement requirements, wherein the pattern keywords comprise pattern style, pattern word number and pattern type.
205. And selecting a matched file from a file library according to the file keywords, and displaying the matched file.
Illustratively, the pattern keywords include narration style, within 100 words, and a retrieval method, and are combined with the objects corresponding to the advertisement main figures to match the patterns from the pattern library. ,
206. receiving a file selection instruction, selecting a corresponding file as a target file according to the file selection instruction, and adding the target file into a target advertisement template to generate an advertisement image.
EXAMPLE III
Fig. 3 illustrates another smart advertisement image generation method disclosed in the embodiment of the present application, and as shown in fig. 3, the smart advertisement image generation method includes the following steps:
301. and responding to an advertisement image making instruction, and selecting a target advertisement template from the advertisement templates, wherein the advertisement image making instruction contains an advertisement type and an advertisement demand.
In this step, the same as the above embodiment, the manufacturing method of the advertisement template includes: acquiring a plurality of historical advertisement images, and classifying according to advertisement types respectively corresponding to the historical advertisement images; and respectively removing the main body and the file in all the historical advertisement images to obtain the advertisement templates, and attributing the advertisement templates corresponding to the historical advertisement images with the main body and the file removed to the corresponding categories. The historical advertisement image can be obtained by screening the published advertisements, removing repeated advertisements, poor image quality, or the advertisements which are not in accordance with the current aesthetic sense, and the like, keeping the good-quality historical advertisement image, and then removing the advertisement elements in the historical advertisement image, such as the advertisement file, the advertisement image, the title and the like, and only leaving a blank template.
302. And selecting an advertisement main map from an image library based on the advertisement type and the advertisement demand, and adding the advertisement main map into the target advertisement template.
303. And extracting the document requirement in the advertisement requirement, wherein the document requirement comprises document keywords and document sentences.
In the embodiment, the case requirement includes case keywords and case sentences, the case keywords are scattered and at least one descriptive word, and the case sentences are fields input by the user, so that the content to be expressed is accurately recorded, but problems of imperfect construction, imperfect description, ill sentences, unclutterness and the like may exist.
304. And when the case requirement is a case keyword, selecting a matching scheme from the case library according to the case keyword.
305. And when the document requirement is a document sentence, matching the document sentence with the document template of the document library, and respectively calculating the similarity.
In this step, the similarity between the pattern and each of the matched patterns is calculated, for example, three patterns are matched, and the similarity is calculated for the three patterns, specifically, the more the keywords of the pattern and the sentence are extracted, the more the keywords are overlapped, the higher the similarity is compared with the pattern.
306. And selecting the document template with the highest similarity as a matched document, and displaying the matched document.
307. Receiving a file selection instruction, selecting a corresponding file as a target file according to the file selection instruction, and adding the target file into a target advertisement template to generate an advertisement image.
Example four
Referring to fig. 4, fig. 4 is a schematic structural diagram of an intelligent advertisement image generating device according to an embodiment of the present invention. As shown in fig. 4, the smart advertisement image generating apparatus may include: the system comprises an instruction response module 401, a main picture selection module 402, a text pattern selection module 403 and an image generation module 404, wherein the instruction response module 401 is used for selecting a target advertisement template from advertisement templates in response to an advertisement image making instruction, and the advertisement image making instruction comprises an advertisement type and an advertisement demand; a main graph extracting module 402, configured to extract an advertisement main graph from an image library based on the advertisement type and the advertisement requirement, and add the advertisement main graph to the target advertisement template; a document selection module 403, configured to select a matching document from a document library based on an advertisement demand, and display the matching document; and the image generating module 404 is configured to receive the document selection instruction, select a corresponding document as a target document according to the document selection instruction, and add the target document to the target advertisement template to generate an advertisement image.
The essence principle and the technical effect of the intelligent advertisement image generation device provided by the embodiment are the same as those of the intelligent advertisement image generation method shown in other embodiments, and are not described herein again.
EXAMPLE III
Referring to fig. 5, fig. 5 is a schematic structural diagram of an electronic device according to an embodiment of the disclosure. The electronic device may be a computer, a server, or the like, and may also be an intelligent device such as a mobile phone, a tablet computer, a monitoring terminal, or the like, and an image acquisition device having a processing function. As shown in fig. 5, the electronic device may include:
a memory 501 in which executable program code is stored;
a processor 502 coupled to a memory 501;
the processor 502 calls the executable program code stored in the memory 501 to execute some or all of the steps in the method for generating a smart advertisement image in the first embodiment.
The embodiment of the invention discloses a computer-readable storage medium which stores a computer program, wherein the computer program enables a computer to execute part or all of the steps in the intelligent advertisement image generation method in the first embodiment.
The embodiment of the invention also discloses a computer program product, wherein when the computer program product runs on a computer, the computer is enabled to execute part or all of the steps in the intelligent advertisement image generation method in the first embodiment.
The embodiment of the invention also discloses an application publishing platform, wherein the application publishing platform is used for publishing the computer program product, and when the computer program product runs on a computer, the computer is enabled to execute part or all of the steps in the intelligent advertisement image generating method in the first embodiment.
In various embodiments of the present invention, it should be understood that the sequence numbers of the processes do not mean the execution sequence necessarily in order, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
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 implemented in the form of hardware, and can also be implemented in the form of a software functional unit.
The integrated units, if implemented as software functional units and sold or used as a stand-alone product, may be stored in a computer accessible memory. Based on such understanding, the technical solution of the present invention, which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product, which is stored in a memory and includes several requests for causing a computer device (which may be a personal computer, a server, or a network device, etc., and may specifically be a processor in the computer device) to execute part or all of the steps of the method according to the embodiments of the present invention.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood, however, that determining B from a does not mean determining B from a alone, but may also be determined from a and/or other information.
Those of ordinary skill in the art will appreciate that some or all of the steps in the methods of the embodiments described herein may be implemented by hardware associated with a program that may be stored in a computer-readable storage medium, including a Read-Only Memory (ROM), a Random Access Memory (RAM), a Programmable Read-Only Memory (PROM), an Erasable Programmable Read-Only Memory (EPROM), a One-time Programmable Read-Only Memory (OTPROM), an electronically Erasable Programmable Read-Only Memory (EEPROM), an optical Disc-Read-Only Memory (CD-ROM) or other storage medium capable of storing data, a magnetic tape, or any other computer-readable medium capable of carrying a computer program or computer-readable data.
The intelligent advertisement image generation method, the intelligent advertisement image generation device, the electronic device and the storage medium disclosed by the embodiment of the invention are described in detail, a specific embodiment is applied in the text to explain the principle and the implementation mode of the invention, and the description of the embodiment is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (10)
1. A method for generating an intelligent advertisement image, comprising:
selecting a target advertisement template from advertisement templates in response to an advertisement image making instruction, wherein the advertisement image making instruction comprises an advertisement type and an advertisement requirement;
selecting an advertisement main graph from an image library based on the advertisement type and the advertisement demand, and adding the advertisement main graph to the target advertisement template;
selecting a matched file from a file library based on the advertisement demand, and displaying the matched file;
receiving a file selection instruction, selecting a corresponding file as a target file according to the file selection instruction, and adding the target file into a target advertisement template to generate an advertisement image.
2. The method of claim 1, wherein the advertising template is produced in a manner comprising:
acquiring a plurality of historical advertisement images, and classifying according to advertisement types respectively corresponding to the historical advertisement images;
and respectively removing the main body and the file in all the historical advertisement images to obtain the advertisement templates, and attributing the advertisement templates corresponding to the historical advertisement images with the main body and the file removed to the corresponding categories.
3. The method of claim 1, wherein said selecting an advertisement host from an image library based on said advertisement type and advertisement demand comprises:
screening a main map of a corresponding category from an image library based on the advertisement type;
and extracting an image keyword in the advertisement demand, and matching the advertisement main map from the main map according to the image keyword.
4. The method for generating intelligent advertisement image according to claim 3, wherein said matching advertisement main image from main image according to image keyword comprises:
analyzing color requirements, image subject requirements, image pixel requirements and image shooting angle requirements contained in the image keywords;
matching in sequence based on the image keywords, and selecting at least one main image as a secondary target image;
obtaining the use score of each secondary target image and the preset evaluation weight corresponding to each secondary target image;
and calculating the priority index of each secondary target map according to the usage score and the preset evaluation weight, and taking the secondary target map with the highest priority index as the advertisement main map.
5. The method for generating intelligent advertisement images according to claim 4, wherein the matching is performed in sequence based on the image keywords, and the selecting of at least one main image as a secondary target image comprises:
respectively calculating the matching degree between each image keyword and the main image;
and when the matching degree between each image keyword and the main image meets the corresponding preset matching degree threshold value, selecting the main image as a secondary target image.
6. The method for generating intelligent advertisement images according to claim 1, wherein the selecting matching documents from the document library based on advertisement requirements comprises:
extracting the pattern key words in the advertisement requirements, wherein the pattern key words comprise pattern style, pattern word number and pattern type;
and selecting a matched file from a file library according to the file keywords.
7. The method for generating intelligent advertisement images according to claim 1, wherein the selecting matching documents from the document library based on advertisement requirements comprises:
extracting a case requirement in the advertisement requirement, wherein the case requirement comprises case keywords and case words;
when the case requirement is a case keyword, selecting a matching scheme from a case library according to the case keyword;
when the case requirement is a case character sentence, matching the case character sentence with a case template of a case library, and respectively calculating similarity;
and selecting the document template with the highest similarity as a matched document.
8. An intelligent advertisement image generation apparatus, comprising:
the instruction response module: the advertisement image making method comprises the steps of responding to an advertisement image making instruction, and selecting a target advertisement template from advertisement templates, wherein the advertisement image making instruction comprises an advertisement type and an advertisement demand;
the main picture selecting module: the advertisement main map is selected from an image library based on the advertisement type and the advertisement demand, and the advertisement main map is added into the target advertisement template;
the file selecting module: the system is used for selecting a matched file from a file library based on the advertisement demand and displaying the matched file;
an image generation module: the system is used for receiving the file selection instruction, selecting the corresponding file as a target file according to the file selection instruction, and adding the target file into a target advertisement template to generate an advertisement image.
9. An electronic device, comprising: a memory storing executable program code; a processor coupled with the memory; the processor calls the executable program code stored in the memory for executing the smart advertisement image generation method of any one of claims 1 to 7.
10. A computer-readable storage medium storing a computer program, wherein the computer program causes a computer to execute the smart advertisement image generation method according to any one of claims 1 to 7.
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