KR102108649B1 - Procedure image generation system using text attribute and the method thereof - Google Patents

Abstract

Disclosed is a procedure image generation system using a text attribute and a method thereof. The procedure image generation system includes: a command extracting unit to extract at least one separate word from a stored command sentence input in order to search for a procedure image; a reference separate word extracting unit to extract a reference separate word at a preset position from the at least separate word; an attribute determining unit for matching a command attribute corresponding to the reference separate word with a stored command group to determine the command attribute; a command grouping unit to group the remaining separate words except for the reference separate word in the input common sentence into at least one corresponding to the determined command attribute; a procedure image searching unit to search for a procedure image including the reference separate word from a stored database and to search for the at least one grouped remaining separate word within results by using the search result as a target; and a recommended image display unit to display a recommended procedure image according to the search result within results.

Description

PROCEDURE IMAGE GENERATION SYSTEM USING TEXT ATTRIBUTE AND THE METHOD THEREOF}

The present invention relates to a system and method for generating a procedural image using text attributes, and in particular, using a text attribute to determine the attribute of a reference word among search terms and group the remaining words according to the attribute of the reference word to search for a procedural image The present invention relates to an image generating system and method.

Virtual reality (VR) refers to an interface between a user and a computer that makes a specific environment or situation into an image and makes it as if the user exists in the actual situation and environment.

In other words, virtual reality is a simulation environment that allows a user to experience virtual reality from an experience-oriented perspective.

Virtual reality has an advantage of providing an environment that is difficult for a user to experience on a daily basis, allowing the user to feel as if they are in the environment, and manipulating the environment.

Conventionally, by using such a virtual reality, it is trained to manufacture and repair equipment, such as aircraft and ships, which are difficult to actually experience.

The tool used to create this educational image was a hassle to work repeatedly even though it is the same or similar procedure to the previously created procedure when making multiple items when producing the image.

Therefore, it is necessary to study a system and method for generating a procedural image using a text attribute that can easily retrieve a procedural image by searching for a procedure similar to the previously created procedure using text attributes.

Korean Registered Patent No. 10-1865173

In the present invention, when retrieving a procedural image using text, the rest of the words are grouped and searched according to the characteristics of the reference word, and thus a procedural image generation system using text attributes capable of retrieving procedural images highly related to text and How to do that.

In the present invention, when searching for a procedural image using text, the image corresponding to the opposite word of the reference word is searched, and the retrieved image is edited and provided in reverse order, so that the procedural image using text attributes that do not need to repeat the same operation A production system and method are provided.

A procedural image generation system using text attributes according to an embodiment of the present invention includes a command extraction unit for extracting one or more words from an input command sentence for retrieving pre-stored procedural images, and a reference to a preset position among the one or more words A reference word extraction unit for extracting a word, an attribute determination unit for determining a command attribute corresponding to the reference word by matching it from a pre-stored instruction set, and the rest of the input command sentences, excluding the reference word, corresponding to the determined command attribute A command grouping unit for grouping words into one or more words, searching for a procedure image including the reference word from a pre-stored database, and retrieving the remaining words grouped into one or more words into the search results according to a predetermined order. Procedure for searching video search unit and the result It may include a recommendation image display unit to display the recommended procedure in accordance with the color image results.

According to an aspect of the present invention, in the case of a Hangul command sentence, the reference word at the preset position may be extracted as a reference word from the rightmost word, and in the case of an English command sentence, based on a word located at the leftmost. Can be extracted by word.

According to an aspect of the present invention, the attribute determining unit may match and extract the attribute count value for how many instruction groups the reference word carries from the pre-stored instruction set, and the instruction grouping unit may include the attribute Correspondingly, the reference word is grouped as a first command group, and words adjacent to the reference word are sequentially grouped into one word unit, but the last group reaching the attribute count value groups one or more words into one group. can do.

According to an aspect of the present invention, when the reference word has a plurality of attribute count values, the attribute determination unit may extract the auxiliary count value of the word closest to the reference word, and the command grouping unit may include the reference When there are multiple attribute count values of a word, the reference word is grouped into a first command group and words adjacent to the reference word are grouped into a second command group in response to the auxiliary count value, and the remaining words correspond to the auxiliary count value. Can be grouped.

According to an aspect of the present invention, if the procedural image retrieval unit does not have a procedural image including the reference word, it searches for a procedural image corresponding to the opposite word of the reference word and processes the corresponding image. If an image exists, a procedure image editing unit may generate a procedure image corresponding to the reference word by editing an order of the procedure images corresponding to the opposite word in reverse order.

In the method of generating a procedural image using text attributes according to an embodiment of the present invention, extracting one or more words from an input command sentence for retrieving a pre-stored procedural image, a reference word at a preset position among the one or more words Extracting, matching and determining a command attribute corresponding to the reference word from a pre-stored instruction set, grouping one or more remaining words other than the reference word among the input command sentences in response to the determined command attribute Step, searching for a procedural image including the reference word from a pre-stored database, searching the remaining words grouped into one or more in the results for the search results in a predetermined order, and searching results in the results Follow the steps to display the recommended procedure video It can be included.

According to an embodiment of the present invention, when retrieving a procedural image using text, a text attribute capable of retrieving a procedural image highly related to text is searched by grouping and retrieving the rest of the phrase according to the characteristics of the reference word. Provided is a procedural image generation system and method.

According to an embodiment of the present invention, when searching for a procedural image using text, an image corresponding to the opposite word of the reference word is searched and edited and provided in reverse order, thereby eliminating the need to repeat the same operation. A system and method for generating a procedural image using text attributes are provided.

1 is a block diagram showing a configuration of a procedure image generation system using a procedure using text attributes according to an embodiment of the present invention.
2 is a diagram illustrating a search screen of a procedural image generation system using text attributes according to an embodiment of the present invention.
3 is a diagram illustrating an example in which the attribute count value of a reference word according to an embodiment of the present invention is one.
4 is a diagram illustrating an example in which the number of attribute values of a reference word is large according to an embodiment of the present invention.
5 is a diagram illustrating an example in which a procedural image is searched according to an embodiment of the present invention.
6 is a flowchart illustrating a method for generating a procedural image using text attributes according to an embodiment of the present invention.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the contents described in the accompanying drawings. However, the present invention is not limited or limited by the embodiments. The same reference numerals in each drawing denote the same members.

In the conventional virtual reality image generation system, if several items are made during the production of the image, there is a hassle of having to repeatedly work even though it is the same procedure or a similar procedure to the previously created procedure.

Therefore, the present invention is an invention devised to solve the above problems, and the configuration will be described in detail below.

1 is a block diagram showing the configuration of a procedure image generation system 100 using text attributes according to an embodiment of the present invention.

Referring to FIG. 1, the procedure image generation system 100 using text attributes includes a command extraction unit 110, a reference word extraction unit 120, an attribute determination unit 130, a command grouping unit 140, and a procedure image search It may include a unit 150 and the recommended image display unit 160.

The command extracting unit 110 may extract one or more words from a command sentence input to search for a pre-stored procedure image.

That is, the command extraction unit 110 may serve to distinguish the words of the command sentences input by the user.

In this case, the procedural image is an image representing a product manufacturing, repair procedure, etc. for a ship, aircraft, vehicle, etc. composed of virtual reality or augmented reality.

The reference word extraction unit 120 may extract a reference word at a predetermined location among the one or more words.

For example, in the case of a Hangul command sentence, the reference word at the preset position may be extracted with the rightmost word as the reference word, and in the case of the English command sentence, the leftmost word may be extracted with the reference word.

For example, when a user inputs a command sentence of 'installation of a power module', the command extraction unit 110 extracts two words 'power module' and 'installation', and the reference word extraction unit 120 is Among the two words extracted from the command extraction unit 110, a word “mounted” on the rightmost side may be selected as a reference word.

The reference word generated as described above may be a criterion for grouping the remaining words except for the reference word described later.

To this end, the attribute determination unit 130 may match and determine the instruction attribute corresponding to the reference word from a pre-stored instruction set.

The attribute determination unit 130 may extract an attribute count value for how many instruction groups the reference word carries from the determined instruction attribute.

In addition, if there is no command attribute of the reference word extracted from the reference word extracting unit 120, the attribute determining unit 130 may match the word related to the reference word and determine a command attribute and an attribute count value.

That is, the attribute determining unit 130 determines the instruction attribute corresponding to the reference word in the pre-stored instruction set, and if there is no instruction attribute corresponding to the reference word, matches the word related to the reference word to match the matched word And a corresponding command attribute and attribute count value.

As an example, when 'open' among the command sentences input by the user is extracted as a reference word, the attribute determination unit 130 determines whether or not the word 'open' exists in the pre-stored command set, and if it is determined that it exists, The command attribute of the command sentence input by the user may be determined as the pre-stored 'open' command attribute.

At this time, if the attribute count value of the 'open' is 1, the command grouping unit 140, which will be described later, may group the remaining words except the reference word into one.

That is, in the above example, the attribute count value is equal to the number of the remaining words grouped except the reference word.

As another example, when 'fixed' is extracted as a reference word among the command sentences input by the user, the attribute determination unit 130 determines whether or not the word 'fixed' exists in the pre-stored command set, and does not exist. When it is determined, the attribute determining unit 130 determines the command attribute of the 'fastening' among the set of previously stored commands by matching the 'fastening' which is a word related to 'fixed'. Can be.

In this case, when the number of attribute values of the 'fastening' is two, the rest of the words except the reference word can be grouped into two in the command grouping unit 140 to be described later.

The command grouping unit 140 may group one or more remaining words excluding the reference word among the input sentences in correspondence to the determined command attribute and attribute count value.

In addition, the command grouping unit 140 further groups the reference word into a first command group and a word adjacent to the reference word sequentially in one word unit in response to the attribute determined by the attribute determining unit 130. , The last group reaching the attribute count value may group one or more words into one group.

That is, the command grouping unit 140 groups the remaining words except for the reference word and the grouping of the same words as the attribute count value determined by the attribute determination unit 130, and when the grouping is performed, by one number less than the attribute count value After grouping by word unit from a word adjacent to the reference word, the remaining words that cannot be grouped may be grouped as one.

An embodiment of grouping the command sentences will be described in detail with reference to FIGS. 2 and 3 below.

FIG. 2 is a diagram showing a search screen of a procedure image generation system 100 using text attributes according to an embodiment of the present invention, and FIG. 3 is an example in which the attribute count value of a reference word according to an embodiment of the present invention is one. It is the figure shown.

2 and 3, when a command sentence is input using a search screen of the procedure image generation system 100 using text attributes, and the attribute count value of the reference word of the command sentence is one (only) In the command sentence, the reference word can be grouped and the rest of the words can be grouped into the same number of groups as the attribute count value.

For example, since the attribute count value of the reference word 'open' and 'closed', 'mounted' and 'separated' is '1', the remaining words except the reference word can be grouped into one group as shown in FIG. 3 above. .

 As another example, since the attribute count value of the reference word 'position' is '2', words adjacent to the reference word as shown in FIG. 3 may be grouped first and the remaining words may be grouped into one group.

As another example, since the attribute count value of the reference word 'pressed' is '3', the words adjacent to the reference word are grouped first, and then adjacent words are grouped, and then the remaining words are grouped as shown in FIG. 3. Can be grouped into groups.

Meanwhile, when the reference word has a plurality of attribute count values, the attribute determination unit 130 may extract the auxiliary count value of the word closest to the reference word.

That is, if the reference word has a plurality of attribute count values rather than a single attribute count value, the attribute determination unit 130 may extract the auxiliary count value of the word closest to the reference word.

In this case, the command grouping unit 140, when the number of attribute counts of the reference word is plural, sets the reference word as the first command group and the word adjacent to the reference word as the second command group in response to the auxiliary count value. The remaining words can be grouped and grouped in correspondence with the auxiliary count value extracted by the attribute determination unit 130.

That is, the command grouping unit 140, when the number of attribute values of the reference word is plural, groups the reference word into the first command group, groups the word adjacent to the reference word group into the second command group, and adjacent to the reference word section. The auxiliary count value of a word may be extracted, and the remaining words may be grouped by the same number as the auxiliary count value.

In this case, grouping the remaining words by the same number as the auxiliary count value is grouped by word unit from the closest word closest to the reference word and the closest word '1' smaller than the auxiliary count value, The rest of the words can be grouped together.

When the number of attribute values of the reference word is plural, an example of grouping command sentences will be described in detail below with reference to FIG. 4.

4 is a diagram illustrating an example in which the number of attribute values of a reference word is large according to an embodiment of the present invention.

Referring to FIG. 4, when there are multiple attribute count values of the reference word of the command sentence through the search window, the auxiliary count value of the word closest to the reference word can be extracted, and the reference word and the reference word Words other than the closest word can be grouped into groups equal to the auxiliary count value.

As an example, as shown in FIG. 4, since the number of attribute counts of the reference word 'confirmation' is large (the phrase 'confirmation' has attribute count values of '2', '3', and '4'), so the ' The auxiliary count values of the words 'content', 'status', 'caution' and 'warning notice' that are closest to the reference word 'confirmation' are extracted.

Since the auxiliary count value of the word 'content' is '2', the auxiliary count value of the command sentence is extracted as '2', and the words closest to the word 'content' are grouped and one of the remaining words Can be grouped into groups.

Since the auxiliary count value of the word 'state' is '1', the auxiliary count value of the command sentence is extracted as '1', and the words excluding the word 'state' and the reference word are grouped into one group. can do.

Since the auxiliary count value of the words 'caution' and 'warning notice' is '0', the auxiliary count value of the command sentence is extracted as '0' and may not be grouped anymore.

At this time, the auxiliary count value may be assigned to the same as the attribute count value of the word adjacent to the reference word, or the auxiliary count value may be previously provided for each word.

For example, when the attribute count value of a word adjacent to the reference word is '2', the auxiliary count value of the word is given as '2', and the remaining words except the reference word and words adjacent to the reference word are 2 Can be grouped into groups of dogs.

As another example, when the auxiliary count value of a word adjacent to the reference word is pre-assigned as '3', the remaining words other than the reference word and the word adjacent to the reference word can be grouped into three groups.

Referring back to FIG. 1, the procedural image search unit 150 searches for procedural images including the reference word from a pre-stored database, and searches the remaining words grouped into one or more words in the predetermined order. You can search within each result as a target.

That is, the procedural image search unit 150 first searches for a reference word, and among the groups grouped in the command grouping unit 140, the group that is the closest to the reference word and the group that is not the closest to the reference word are in order. You can perform a re-search in the results you searched for before.

In addition, when there is no procedural image including the reference word, it is searched for a procedural image corresponding to the opposite word of the reference word, and if a procedural image corresponding to the opposite word exists, the procedural image corresponding to the opposite word It may include a procedural image editing unit (not shown) to generate a procedural image corresponding to the reference word by editing the order of.

As an example, there is no result of the user inputting a command sentence of 'equipped with landing gear', and the opposite of 'equipped', which is a reference word of the command sentence, is called 'separating landing gear' including a reference word of 'separation' When a procedural video of the title exists, the procedural video editing unit may edit the procedural video titled 'separating the landing gear' in the reverse order and provide it to the user.

The recommended image display unit 160 may display the recommended procedure image according to the search result in the result in the procedure image search unit 150.

The recommended procedure image is graded in the order of the group including the word that is not closest to the reference word from the reference word through the procedure image search unit 150 to display the recommended procedure image in the order of overall score. Can be.

In addition, the scoring in the group may give the highest score to the same word, the score may be differentially assigned to a predetermined relevance criterion, and the score may not be assigned to a word with no relevance.

An example of displaying the recommendation procedure image by assigning the score will be described in detail with reference to FIG. 5 below.

5 is a diagram illustrating an example in which a procedural image is searched according to an embodiment of the present invention.

Referring to FIG. 5, the recommended image display unit 160 displays the recommendation procedure images in the order of scores by assigning a score during a search in the search results of the procedure image search unit 150.

For example, if the command sentence input by the user is 'Drone maintenance operation check', and the reference word is 'check', a score is given to a command character including the reference word, and the word closest to the reference word Points are given to the command text that includes the word 'operation', and then scores are given to the command text that includes the word 'maintenance', which is the word adjacent to the reference word. By assigning a score to the command sentence containing the 'drone', the recommended images may be displayed in the order of the overall score as shown in FIG. 5.

At this time, the score that is given to the reference word may be lowered if it is not adjacent to the reference word.

When a procedural image is generated using the procedural image generation system 100 using the text attribute, and when the procedural image is stored, a reference word is identified, and if the number of words is not greater than a corresponding attribute count value of the reference word It may further include a procedure image storage unit (not shown) for generating a re-save signal.

For example, when a command sentence is input only as 'mounted', the 'mounted' becomes a reference word, and since the attribute count value of the reference word is '1', the command sentence has a minimum word except the reference word. There should be more than one, but there is no word except the reference word in the command sentence, so the procedural image storage unit (not shown) generates a re-save signal so that the user can store the procedural image with a new command character. .

As another example, when the command sentence is input as 'press the ON button', the 'press' becomes a reference word, and since the attribute count value of the reference word is '3', the reference word is used in the command sentence. Except, there should be at least three words, but since the command sentence does not have more than three words, except for the reference word, the procedural image storage unit (not shown) generates a re-save signal to allow the user to generate a new command character. Let me save the procedure image.

Hereinafter, a method of generating a procedural image using text attributes will be described in detail with reference to FIG. 6.

6 is a flowchart illustrating a method for generating a procedural image using text attributes according to an embodiment of the present invention.

Referring to FIG. 6, in the method of generating a procedural image using the text attribute, extracting one or more words from an input command sentence for retrieving a pre-stored procedural image, and extracting a reference word at a preset position among the one or more words Step, determining by matching the command attribute corresponding to the reference word from a pre-stored instruction set, grouping the remaining words other than the reference word among the input command sentences in response to the determined command attribute into one or more words, Searching for a procedural image including the reference word from a pre-stored database, and retrieving the remaining words grouped into the one or more words in the results for each of the search results according to a predetermined order and according to the search results in the results Includes steps to display the recommended procedure video can do.

In the step of extracting the reference word at the preset position, when the input command character is Korean, the rightmost word can be extracted as a reference word, and when the input command character is English, the leftmost word is located. The word can be extracted as a reference word.

In the step of matching and determining the command attribute corresponding to the reference word, a preset attribute count value may be assigned according to the command attribute, and the attribute count value is the same as the number of groups of other words except the reference word. can do.

In addition, the step of determining by matching the instruction attribute corresponding to the reference word is determined by analyzing and matching the word related to the reference word in the case where there is no command identical to the reference word in the instruction set, the reference to the previously stored instruction set Even if the word does not exist, the attribute count value can be assigned.

In the step of grouping the remaining words in which the reference word is controlled in response to the determined command attribute, the remaining words other than the reference word may be grouped in the same manner as the assigned attribute count value.

Further, in the grouping process, the reference word is designated as a first command group, and the words adjacent to the reference word are additionally grouped in units of one word sequentially, but the last group reaching the attribute count value is one or more words. Can be grouped into one group.

In addition, in the step of determining the command attribute corresponding to the reference word, when the reference word has a plurality of attribute count values, the auxiliary count value of the word closest to the reference word can be extracted.

The auxiliary count value may be the same as the attribute count value of a word adjacent to the reference word, or the auxiliary count value may be previously assigned to a word adjacent to the reference word.

In the step of grouping the remaining words other than the reference word into one or more, when the reference word has a plurality of attribute count values and the auxiliary count value is extracted, the grouping process is performed by grouping the reference word corresponding to the auxiliary count value. As a first command group, words adjacent to the reference word may be grouped into a second command group, and the remaining words may be grouped in correspondence with the auxiliary count value.

The process of grouping in correspondence with the auxiliary count value may be the same as the process of grouping in correspondence with the property count value.

The step of searching for the grouped word in a result according to a predetermined order may include searching the reference word first, and then searching for a group including the word closest to the reference word in the search result of the reference word. You can even search for groups that contain words that are not closest to the word.

In addition, when there is no procedural image including the reference word as a result of the search, and there is a procedural image corresponding to the opposite word of the reference word, the order of the procedural image corresponding to the opposite word is edited in the reverse order to determine the reference A procedural image corresponding to a word can be generated.

  In the step of displaying the recommendation procedure image according to the search result in the result, the scores are differentially assigned in order from the reference word to the group containing the word that is not closest to the reference word, and the recommendation procedure image is displayed in the order of overall score. Can be displayed.

In addition, assigning a score in the group may give the highest score to the same word, assign a score differently according to a predetermined relevance criterion, and may not assign a score to an unrelated word.

As described above, according to an embodiment of the present invention, when searching for a procedural image using text, it is possible to search for procedural images having high relevance to text by grouping and retrieving the rest of the phrases according to the characteristics of the reference word. A system and method for generating a procedural image using text attributes are provided.

In addition, according to an embodiment of the present invention, when searching for a procedural image using text, the image corresponding to the opposite word of the reference word is searched, and the searched image is edited and provided in reverse order, so that the same operation is not repeated. A system and method for generating a procedural image using text attributes that are not required are provided.

In addition, according to an embodiment of the present invention, a method for generating a procedural image using text attributes may be recorded on a computer-readable medium including program instructions for performing various computer-implemented operations. The computer-readable medium may include program instructions, data files, data structures, or the like alone or in combination. The media may be program instructions specially designed and constructed for the present invention, or may be known and usable by those skilled in computer software. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tapes, optical media such as CD-ROMs, DVDs, and magnetic media such as floptical disks. -Hardware devices specifically configured to store and execute program instructions such as magneto-optical media, and ROM, RAM, flash memory, and the like. Examples of program instructions include high-level language codes that can be executed by a computer using an interpreter, etc., as well as machine language codes produced by a compiler.

As described above, although one embodiment of the present invention has been described by a limited embodiment and drawings, one embodiment of the present invention is not limited to the above-described embodiment, which is a general knowledge in the field to which the present invention pertains. Various modifications and variations can be made by those who have this description. Accordingly, one embodiment of the present invention should be understood only by the claims set forth below, and all equivalents or equivalent modifications thereof will be said to fall within the scope of the spirit of the present invention.

100: Procedural image generation system using text attributes
110: command extraction unit
120: reference word extraction unit
130: attribute judgment unit
140: command grouping unit
150: procedural image search unit
160: recommended video display

Claims (6)

A command extraction unit that extracts one or more words from the command sentence input for searching the pre-stored procedure image;
A reference word extracting unit for extracting a reference word at a predetermined position among the one or more words;
An attribute determination unit that matches and determines the instruction attribute corresponding to the reference word from a pre-stored instruction set;
A command grouping unit for grouping the remaining word except the reference word among the input command sentences in response to the determined command attribute;
A procedural image search unit for retrieving the procedural images including the reference word from a pre-stored database, and retrieving the remaining words grouped by one or more into the search results in the respective results in a predetermined order; And
A recommendation image display unit displaying a recommendation procedure image according to a search result in the result;
Procedural image generation system using text attributes, including. According to claim 1,
The reference word of the preset position,
For Hangul command sentences, the rightmost word is extracted as a reference word,
In the case of an English command sentence, a procedural image generation system using text attributes, characterized in that the leftmost word is extracted as a reference word. According to claim 1,
The attribute determination unit,
The attribute count value for how many command groups the reference word entails is extracted by matching from the previously stored command set,
The command grouping unit,
In response to the attribute, the reference word is grouped into a first command group, and words adjacent to the reference word are sequentially grouped into one word unit, but the last group reaching the attribute count value is one or more words in one group. Procedural image generation system using text attributes, characterized by grouping. According to claim 3,
The attribute determination unit,
When the reference word has a plurality of attribute count values, the auxiliary count value of the word closest to the reference word is extracted and
The command grouping unit,
When the number of attribute counts of the reference word is plural, the reference word is grouped into a first command group and a word adjacent to the reference word is grouped into a second command group in correspondence to the auxiliary count value, and the remaining words are the auxiliary count value. Procedural image generation system using text attributes, characterized in that the grouping in response to. According to claim 1,
The procedure image search unit,
When the procedure image including the reference word does not exist,
Search for the existence of a procedural image corresponding to the opposite word of the reference word, and if a procedural image corresponding to the opposite word exists, edit the sequence of the procedural image corresponding to the opposite word in reverse order to obtain a procedural image corresponding to the reference word. Procedural image generation system using a text attribute, characterized in that it comprises a procedural image editing unit to generate. Extracting one or more words from an input command sentence for searching a pre-stored procedure image;
Extracting a reference word at a preset position among the one or more words;
Determining by matching an instruction attribute corresponding to the reference word from a pre-stored instruction set;
Grouping the remaining words other than the reference word among the input command sentences in accordance with the determined command attribute into one or more words;
Searching for a procedural image including the reference word from a pre-stored database, and retrieving the remaining words grouped into one or more in the results for each of the search results in a predetermined order; And
Displaying a recommendation procedure image according to the search result in the result;
Method for generating a procedural image using text attributes including a.

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