CN112784079A - Picture text making method and device, electronic equipment and storage medium - Google Patents
Picture text making method and device, electronic equipment and storage medium Download PDFInfo
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- CN112784079A CN112784079A CN202011636768.XA CN202011636768A CN112784079A CN 112784079 A CN112784079 A CN 112784079A CN 202011636768 A CN202011636768 A CN 202011636768A CN 112784079 A CN112784079 A CN 112784079A
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Abstract
The invention discloses a method for making a picture text, which comprises the steps of obtaining a target text of a picture to be matched; creating a picture library; constructing a character label set corresponding to the picture library; extracting key words in the target text; searching a corresponding target character label in the character label set according to the key words; acquiring a plurality of corresponding target pictures from the picture library according to the target character tags; selecting pictures with consistent color tones from the multiple target pictures to obtain a picture matching picture; and inserting the matching picture into a target text. On the basis, the picture text making device, the electronic equipment and the storage medium are further provided. The invention at least solves the problems of automatically matching pictures for the text, improving the picture text creation efficiency and improving the picture text aesthetic property in the text editing process.
Description
Technical Field
The present disclosure relates to the field of text processing technologies, and in particular, to a method and an apparatus for making a picture text, an electronic device, and a storage medium.
Background
With the development of the internet, various industries use the internet to publish text contents to release information, promote products and study, such as news report articles, marketing articles, book articles, and the like. However, text in plain text is too tedious for the reader to catch the eye of modern people; on the other hand, the text with both pictures and texts can improve the reading interest and eliminate the defects. Unfortunately, it takes a lot of time to produce graphic-text texts, which is not time-efficient in the society of time-sensitive interest, and therefore, in order to improve the graphic-text production efficiency, the corresponding text matching technology is developed in the field. However, the pictures selected by the method for matching characters in the prior art are still not accurate enough, which is a problem to be solved by those skilled in the art.
Disclosure of Invention
It is an object of the present invention to at least solve the above problems and to provide corresponding advantages.
Another object of the present invention is to provide a method, an apparatus, an electronic device, and a storage medium for making a picture text, which at least solve the problems of how to automatically match a picture for a text, improve the picture text creation efficiency, and improve the aesthetic property of the picture text in the process of editing the text.
The invention is mainly realized by the technical scheme in the following aspects:
< first aspect of the invention >
A first aspect provides a method for making a picture text, the method comprising:
acquiring a target text of a to-be-matched picture;
creating a picture library;
constructing a character label set corresponding to the picture library;
extracting key words in the target text;
searching a corresponding target character label in the character label set according to the key words;
acquiring a plurality of corresponding target pictures from the picture library according to the target character tags;
selecting pictures with consistent color tones from the multiple target pictures to obtain a picture matching picture;
and inserting the matching picture into a target text.
In some embodiments, the creating the picture library includes:
and acquiring a plurality of pictures for matching pictures to obtain the picture library.
In some embodiments, the constructing the text label set corresponding to the picture library includes:
generating a corresponding text label for each picture in the picture library;
and constructing the text label set according to the text labels.
In some embodiments, the extracting key words in the target text includes:
and extracting the key words according to the word frequency of the target text.
In some technical solutions, the category of the text label includes at least one of time, place, person, event, season, and color tone, and the text label of each picture is selected from the attribute content of the corresponding category.
In some embodiments, when the category of the text label is time, the attribute content of the time includes morning, noon, and evening.
In some embodiments, when the category of the text label is a place, the attribute content of the place includes asia, europe, and africa.
In some technical solutions, when the category of the text label is a person, the attribute content of the person includes a child, a middle-aged person, and an old person.
In some embodiments, when the category of the text label is an event, the attribute content of the event includes kitting, coffee drinking, and sun drying.
In some embodiments, when the category of the text label is a season, the attribute content of the season includes spring, summer, autumn, and winter.
In some embodiments, when the category of the text label is a color tone, the attribute content of the color tone includes red, yellow, white, black, gray, green, blue, purple, and orange.
< second aspect of the invention >
A second aspect provides a device for making picture texts, configured to execute the making method of the first aspect;
the target text acquisition module is used for acquiring a target text of a to-be-matched picture;
the picture library creating module is used for creating a picture library;
the character tag set constructing module is used for constructing a character tag set corresponding to the picture library;
the key word extraction module is used for extracting key words in the target text;
the target character label acquisition module is used for searching a corresponding target character label in the character label set according to the key words;
the target picture acquisition module is used for acquiring a plurality of corresponding target pictures from the picture library according to the target character tags;
the matching picture acquisition module is used for selecting pictures with consistent color tones from the target pictures to obtain matching pictures;
and the matching picture inserting module is used for inserting the matching picture into the target text.
< third aspect of the invention >
A third aspect provides an electronic device for performing the manufacturing method of the first aspect.
< fourth aspect of the invention >
A fourth aspect provides a storage medium storing computer instructions for performing the method of making of the first aspect.
The technical effects of the embodiment of the invention at least comprise:
in the invention, at least one character tag is generated for each picture in the picture library according to each key word of the at least one key word, and a character tag set is constructed; determining at least one picture to be processed corresponding to each character label according to each character label in the character label set; extracting at least one target picture from the at least one picture to be processed according to picture attribute content; and inserting the target picture into the text, so that the function of automatically matching the picture with the text can be realized. The invention establishes the mapping relation between the pictures in the picture library and the character labels in the character label set based on the picture library and the character label set with the corresponding relation; on the basis, the key words are further extracted from the target text, and the character tags and the pictures corresponding to the key words are obtained, so that the matching pictures of the target text can be accurately and quickly generated. Therefore, based on the method for making the picture text, the optimal picture material can be accurately matched through the keywords of the article, and the creation efficiency of the picture text is improved.
Furthermore, it is easy to understand that the picture text is a literary work which can bring a strong visual feeling to the reader, and therefore, the aesthetic property of the text is an important characteristic for embodying the practicability of such products. In other words, the more visually appealing the text is, the larger the potential reader population may be, and the more socially desirable the text is. It is easy to understand that the aesthetic property of the text is closely related to the harmony of the color of the whole text, and the influence of the color tone of the picture is particularly important, so that the color tones of all the matching pictures finally inserted into the target text are selected to be consistent in the process of making the picture text described in the present application. Therefore, in the application, the harmony of the whole text on the color can be ensured, the attractiveness of the text is improved, and the process that a text creator processes the tone of the matching picture again to improve the attractiveness of the text is avoided.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
The various features and embodiments of the present invention referred to in the aspects above may be applied to other aspects, as appropriate, mutatis mutandis. Thus, particular features in one aspect may be combined with particular features in other aspects as appropriate.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention.
Drawings
FIG. 1 is a schematic flow chart diagram of a method for producing graphic texts in accordance with some embodiments of the present invention;
FIG. 2 is another flow chart diagram of a method of making a graphic text in accordance with some embodiments of the present invention;
fig. 3 is a schematic diagram of a device for making picture and text according to some embodiments of the present invention.
Detailed Description
The present invention is further described in detail below with reference to the attached drawings so that those skilled in the art can implement the invention by referring to the description text.
The terms "first", "second" and "third" in the embodiments of the present application are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first," "second," or "third" may explicitly or implicitly include at least one of the feature. It is also noted that, in the present application, "a plurality" means at least two, e.g., two, three, etc., unless specifically limited otherwise. Furthermore, the term "comprises" and any variations thereof is intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those steps or elements listed, but may alternatively include other steps or elements not listed, or inherent to such process, method, article, or apparatus.
In addition to the foregoing, it should be emphasized that the term "embodiment" or variations thereof, when used herein to describe an embodiment, means that a particular feature, structure or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
< first aspect of the present application >
A first aspect provides a method for making a picture text, the method including steps S100-S800 described below:
and S100, acquiring a target text of the to-be-matched graph.
And S200, creating a picture library.
S300, constructing a character tag set corresponding to the picture library; the "text label set" mainly refers to a set of text labels corresponding to each picture in the picture library. Because the elements contained in each picture in the picture library of the present application include all things, in order to accurately obtain a target picture according to a text label, it is necessary to generate an accurate and detailed text label for each picture as much as possible. For example, the content of a picture in a picture library is that in a windy and suny morning, a group of children has kites on a beach, and adults have sunrise and coffee nearby. It will be appreciated that the text labels generated from this picture may be morning, child, beach, kite, adult, sun, coffee.
S400, extracting key words in the target text; the "keyword word" is a keyword mainly composed of one word or a keyword composed of two or more words.
S500, searching a corresponding target character label in the character label set according to the key word; it can be understood that, in this step, each keyword needs to be compared with each text label in the text label set, and the text similarity between the keyword and the text label is identified to determine the target text label, and the foregoing identification processing can be implemented by the existing text identification technology. It should be noted here that the target text label corresponding to each keyword may be one or more.
S600, acquiring a plurality of corresponding target pictures from the picture library according to the target character tags; in this step, it is easily understood by those skilled in the art that each picture in the picture library corresponds to one or more text labels, and the target text label is a subset of the set of text labels of all pictures in the picture library.
S700, selecting pictures with consistent color tones from the multiple target pictures to obtain a picture matching picture; and selecting pictures with consistent color tones from the multiple target pictures to obtain a picture matching picture. The hue can be determined by those skilled in the art according to actual needs. The hue may be selected from among the plurality of pictures, a hue that appears most frequently among the plurality of pictures, or a hue that appears least frequently among the plurality of pictures.
And S800, inserting the matching picture into a target text. In this regard, the insertion manner can be determined by those skilled in the art according to actual needs. In some embodiments, the target text may be inserted into the picture according to the sentence and/or paragraph in which the keyword is located, in other embodiments, the target text may also be inserted into the bottom of the picture, and of course, in some other embodiments, the target text may also be inserted randomly.
In summary, according to the method for making the picture text provided by the present application, the target character tag is obtained according to the relationship between the keyword of the target text and the character tag set, the target picture is obtained according to the relationship between the target character tag and the pictures in the picture library, and the matching picture matching the target text can be obtained by selecting the target picture with the same hue.
Therefore, the mapping relation between the pictures in the picture library and the character labels in the character label set is established based on the picture library and the character label set with the corresponding relation; on the basis, the key words are further extracted from the target text, and the character tags and the pictures corresponding to the key words are obtained, so that the matching pictures of the target text can be accurately and quickly generated.
Therefore, based on the method for making the picture text, the optimal picture material can be accurately matched through the keywords of the article, and the efficiency of creating the picture text is improved.
Furthermore, it is easy to understand that the picture text is a literary work which can bring a strong visual feeling to the reader, and therefore, the aesthetic property of the text is an important characteristic for embodying the practicability of such products. In other words, the more visually appealing the text is, the larger the potential reader population may be, and the more socially desirable the text is. It is easy to understand that the aesthetic property of the text is closely related to the harmony of the color of the whole text, and the influence of the color tone of the picture is particularly important, so that the color tones of all the matching pictures finally inserted into the target text are selected to be consistent in the process of making the picture text described in the present application. Therefore, in the application, the harmony of the whole text on the color can be ensured, the attractiveness of the text is improved, and the process that a text creator processes the tone of the matching picture again to improve the attractiveness of the text is avoided.
In some embodiments, in the step S200, the method includes: and acquiring a plurality of pictures for matching pictures to obtain the picture library. The pictures in the picture library can be obtained from picture materials shot by a live-action photographer or original picture materials designed by a designer, and after the pictures are obtained, the pictures can be uploaded to a database which is created for storing the pictures in a server, wherein the database after the pictures are stored is the picture library.
In some embodiments, as shown in fig. 2, the step S300 includes steps S310 and S320 described below.
And S310, generating a corresponding text label for each picture in the picture library.
In step S310 of the present application, each picture in the picture library at least corresponds to one text label, where the text label is set according to the actual content of each picture. The content of each picture is more and more abundant, and the text label is more. In other words, the number of text labels corresponding to each picture is determined by the content of the picture.
And S320, constructing the character label set according to the character labels.
In some embodiments, in the step S400, the method includes: and extracting the key words according to the word frequency of the target text.
In some embodiments, the category of the text label includes at least one of time, place, people, events, season, and color tone, and the text label of each picture is selected from the attribute content of the corresponding category.
In some embodiments, when the category of the text label is time, the attribute content of the time includes morning, noon and evening. It should be noted that the attribute content of the time can be determined by those skilled in the art according to the needs, and is not limited to the aforementioned exemplary morning, noon and evening.
In some embodiments, when the category of the text label is a place, the attribute content of the place includes asia, europe, and africa. It is noted that the nature and content of the location can be determined by one skilled in the art as desired and is not limited to the aforementioned exemplary asia, europe, and africa.
In some embodiments, when the category of the text label is a person, the attribute content of the person includes a child, a middle-aged person and an old person. It should be noted that the attribute contents of the persons can be determined by those skilled in the art according to the needs, and are not limited to the aforementioned exemplary children, middle-aged people, and elderly people.
In some embodiments, when the category of the text label is an event, the attribute content of the event includes kitting, coffee drinking, sun drying. It should be noted that the attribute contents of the event can be determined by those skilled in the art according to the needs, and are not limited to the aforesaid exemplary kiteflying, coffee drinking, sun drying.
In some embodiments, when the category of the text label is a season, the attribute content of the season includes spring, summer, fall, and winter. It should be noted that the attribute contents of the seasons can be determined by those skilled in the art as needed, and are not limited to the aforementioned exemplary spring, summer, fall and winter seasons.
In some embodiments, when the category of the text label is a color tone, the attribute content of the color tone includes red, yellow, white, black, gray, green, blue, purple, orange. It should be noted that the attribute content of the hue can be determined by those skilled in the art according to the needs, and is not limited to the aforementioned exemplary red, yellow, white, black, gray, green, blue, purple, and orange.
< second aspect of the present application >
As shown in fig. 3, a second aspect of the present application provides a device 10 for making a picture text, configured to execute the making method of the first aspect, where for a specific method, please refer to the above, a technical effect achieved in the specific method is consistent with a technical effect achieved by the foregoing method, and details are not repeated herein;
a target text acquisition module 100, configured to acquire a target text of a to-be-matched drawing;
a picture library creating module 200 for creating a picture library;
a text label set constructing module 300, configured to construct a text label set corresponding to the picture library;
a keyword extraction module 400, configured to extract a keyword from a target text;
a target text label obtaining module 500, configured to search a corresponding target text label in the text label set according to the keyword;
a target picture obtaining module 600, configured to obtain multiple corresponding target pictures from the picture library according to the target text labels;
a matching picture obtaining module 700, configured to select a picture with a consistent color tone from the multiple target pictures to obtain a matching picture;
a matching picture inserting module 800, configured to insert the matching picture into the target text.
< third aspect of the present application >
A third aspect of the present application provides an electronic device for performing the manufacturing method of the first aspect.
< fourth aspect of the present application >
A fourth aspect of the present application provides a storage medium storing computer instructions for performing the manufacturing method of the first aspect.
While embodiments of the invention have been described above, it is not limited to the applications set forth in the description and the embodiments, which are fully applicable in various fields of endeavor to which the invention pertains, and further modifications may readily be made by those skilled in the art, it being understood that the invention is not limited to the details shown and described herein without departing from the general concept defined by the appended claims and their equivalents.
Claims (8)
1. The method for making the picture text is characterized by comprising the following steps:
acquiring a target text of a to-be-matched picture;
creating a picture library;
constructing a character label set corresponding to the picture library;
extracting key words in the target text;
searching a corresponding target character label in the character label set according to the key words;
acquiring a plurality of corresponding target pictures from the picture library according to the target character tags;
selecting pictures with consistent color tones from the multiple target pictures to obtain a picture matching picture;
and inserting the matching picture into a target text.
2. The method of manufacturing according to claim 1, wherein the creating a picture library comprises:
and acquiring a plurality of pictures for matching pictures to obtain the picture library.
3. The method of claim 1, wherein constructing a text label set corresponding to the picture gallery comprises:
generating a corresponding text label for each picture in the picture library;
and constructing the text label set according to the text labels.
4. The production method according to claim 1, wherein the extracting of the keyword in the target text comprises:
and extracting the key words according to the word frequency of the target text.
5. The method of claim 1, wherein the category of the text label includes at least one of time, location, person, event, season, and color tone, and the text label of each picture is selected from the attribute contents of the corresponding category.
6. The picture text making device is characterized by comprising;
the target text acquisition module is used for acquiring a target text of a to-be-matched picture;
the picture library creating module is used for creating a picture library;
the character tag set constructing module is used for constructing a character tag set corresponding to the picture library;
the key word extraction module is used for extracting key words in the target text;
the target character label acquisition module is used for searching a corresponding target character label in the character label set according to the key words;
the target picture acquisition module is used for acquiring a plurality of corresponding target pictures from the picture library according to the target character tags;
the matching picture acquisition module is used for selecting pictures with consistent color tones from the target pictures to obtain matching pictures;
and the matching picture inserting module is used for inserting the matching picture into the target text.
7. Electronic equipment, characterized in that it is adapted to carry out the manufacturing method of any of claims 1-5.
8. Storage medium, characterized in that it stores computer instructions for carrying out the production method according to any one of claims 1 to 5.
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Cited By (1)
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| CN114329016A (en) * | 2022-01-04 | 2022-04-12 | 北京百度网讯科技有限公司 | Picture label generation method and character matching method |
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Application publication date: 20210511 |