KR101615944B1 - Method for deciding food menu image using text data - Google Patents

Abstract

A method of determining a menu image using text is provided. A method of determining a menu image using text according to an embodiment of the present invention includes receiving text data associated with a food menu, retrieving a food image corresponding to the text data, and displaying the food image on a visualized menu image And arranging the menu image to correspond to the food menu to provide the menu image.

Description

[0001] METHOD FOR DECIDING FOOD MENU IMAGE USING TEXT DATA [0002]

The present invention relates to a method of determining a menu image using text, and more particularly, to a method of searching for or generating a food image using a text input to an input food menu and displaying the menu image.

Food facilities are generally provided in certain buildings or places where a large number of people, such as dormitories, schools, military units, government offices, medical institutions, and corporations, collectively work together. Foodservice facilities originally supplied food to a certain number of people continuously for nonprofit purposes, and the market share of institutional foodservice stations by consignment meals has been rapidly spreading due to environmental and institutional changes, especially in the 1990s.

These meals are ultimately aimed at increasing the satisfaction of food by providing high-quality meals that meet the nutritional needs of the subjects, and ultimately enhancing productivity by enhancing the mental and physical health of the customers. In order to do this, specialized foodservice management is required. Expert dietitians are strengthening their expertise in foodservice management such as purchasing, production, hygiene, nutrition, finance, service and marketing. .

On the other hand, in order to notify the users of the food menu provided at the food facilities and restaurants, the food menu is provided to the user by using the form, print, signboard, kiosk, web page, etc., And details of the types of information are posted. The food menu is usually displayed as text, but recently it displays the image of the food menu as well as the text to help users intuitively understand.

Korean Patent No. 10-1259130 Korean Patent No. 10-1248757

Conventional foodservice facilities and restaurants are mainly provided with text menu for food, which reduces the ability of the information to be transmitted. When a menu which is not popular is posted as text, the menu is not intuitively understood.

In addition, when a food image is included in a menu, the image obtained through a web page search or the like is generally used. Thus, there is a problem that a uniformized food image must be used. In the case of photographing and posting cooked food directly, There is a time and cost inconvenience of making an image of each menu and there is a problem that it can not be immediately reflected when a menu is changed.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method of determining a menu image using text that can extract an optimized food image by analyzing text related to a food menu input from a user.

Another object of the present invention is to provide a method and apparatus for collecting material images constituting a menu when a corresponding image is not searched for an input text, And a method of determining a menu image using text that can be displayed on the menu screen.

It is another object of the present invention to provide a menu image determining method using a text that can provide an expanded food image by searching an image of a similar menu having a similar meaning to the input text.

Another object of the present invention is to provide a food image corresponding to a text representing a food menu by arranging an electronic meal or a virtual food to improve the delivery power of the information and transmitting the information to a user's mobile terminal, And to provide a menu image determination method using text that can improve the convenience of acquisition.

The technical objects of the present invention are not limited to the above-mentioned technical problems, and other technical subjects not mentioned can be clearly understood by those skilled in the art from the following description.

According to an aspect of the present invention, there is provided a method of determining a menu image using text, the method comprising: receiving text data associated with a food menu; retrieving a food image corresponding to the text data; And arranging the food image on the visualized menu image so as to correspond to the food menu to provide the menu image.

Wherein retrieving the food image comprises: extracting a plurality of sub-texts from the textual data; retrieving a plurality of sub-food images corresponding to each of the plurality of sub-texts; and based on the plurality of sub- And generating the food image.

Wherein extracting the sub-text comprises weighting the sub-text based on a predetermined criterion, wherein the step of retrieving the sub-food image comprises reflecting the weight to the retrieved sub-food image .

The step of generating the food image may include combining the plurality of sub food images based on the weight.

The step of retrieving the food image may include determining the context data of the text data and retrieving a similar food image corresponding to the context data.

And displaying the food image on the electronic tag.

The menu image may further include a virtual plate-like shape including a plurality of divided areas, and displaying the food image in a predetermined one of the plurality of divided areas of the virtual plate.

And transmitting the menu image to the client device.

Further comprising receiving feedback data input to the menu image from the client device, wherein the feedback data may include whether to select the menu image.

And generating a database in which the food name and the food image are mapped, wherein the step of searching for the food image may inquire the database based on the text data.

According to the present invention as described above, the following various effects are obtained.

First, in the method of determining a menu image using text according to embodiments of the present invention, a food image corresponding to an input text can be provided without a separate search process, and a similar food image corresponding to the context data of the input text The expanded food image can be reflected in the menu.

Second, in the method of determining a menu image using text according to embodiments of the present invention, when a food image corresponding to a text can not be retrieved, the method divides the text into a plurality of sub-texts, And combine the plurality of collected sub food images based on the weights to generate a new food image. Therefore, even if a user inputs a text for a non-popular menu, a food image for the menu can be acquired, which can help understand the food menu text.

Thirdly, the method of determining a menu image using text according to embodiments of the present invention can improve the information conveying ability by displaying the acquired food image on the electronic tag or by arranging it in a predetermined area of the virtual plate corresponding to the type of the menu And can transmit the visualized menu image to the client device, thereby improving the user's convenience.

1 is a block diagram showing a schematic configuration of a menu image determination method using text according to an embodiment of the present invention.
FIG. 2 is a flowchart illustrating a method of determining a menu image using text according to an exemplary embodiment of the present invention. Referring to FIG.
FIG. 3 is a diagram showing an example of determining a food image using the text data of FIGS. 1 and 2. FIG.
FIG. 4 is a diagram showing an example of displaying a food image on a virtual plate using the system of FIG. 1 or the method of FIG. 2;

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS The advantages and features of the present invention, and the manner of achieving them, will be apparent from and elucidated with reference to the embodiments described hereinafter in conjunction with the accompanying drawings. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art. To fully disclose the scope of the invention to those skilled in the art, and the invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout the specification.

Unless defined otherwise, all terms (including technical and scientific terms) used herein may be used in a sense commonly understood by one of ordinary skill in the art to which this invention belongs. Also, commonly used predefined terms are not ideally or excessively interpreted unless explicitly defined otherwise.

The terminology used herein is for the purpose of illustrating embodiments and is not intended to be limiting of the present invention. In the present specification, the singular form includes plural forms unless otherwise specified in the specification. The terms " comprises "and / or" comprising "used in the specification do not exclude the presence or addition of one or more other elements in addition to the stated element.

Hereinafter, a menu image determination method using text according to embodiments of the present invention will be described with reference to the drawings.

Referring to FIG. 1, there is shown a relationship between components implementing a method of determining a menu image using text according to an embodiment of the present invention.

The client device 100 may be a device that can be implemented and implemented in the form of an application and may generate text data based on an input signal of a client or input text data To the server 200, or to receive data from the server 200. [ A specific example of the client device 100 may be a smart phone, a PMP, a PC, a notebook, a tablet PC, and the like, but is not limited thereto and may further include a game device such as a home game machine.

The server 200 may be a computing device that receives text data from the client device 100 and processes the text data. The server 200 may receive data by allowing connection of one or more devices via the network. The network may be a wired or wireless Internet, or may be a core network integrated with a wired public network, a wireless mobile communication network, or a portable Internet, or may be a core network including a TCP / IP protocol and various services located thereon, ), Telnet, File Transfer Protocol (FTP), Domain Name System (DNS), Simple Mail Transfer Protocol (SMTP), and the like.

The server 200 may include various servers such as a web server, a database server, and a streaming server in addition to a server for providing services. The server 200 further receives game data from a plurality of client devices 100, collects and processes the game data, and further transmits the game data to the plurality of client devices 100, respectively.

The database unit 300 may generate and manage a database mapped with a food name and a food image. The database unit 300 may be included in the server 200, but is not limited thereto and may be physically separated from the server 200 And may be included in another separate server.

1, when a client inputs text data related to a food menu to the client device 100 and transmits the text data to the server 200, the client 200 determines whether the menu image is included in the server 200 The server 200 searches the food image stored in the database unit 300 included in another server and the server 200 arranges the retrieved food image on the menu image and transmits the image to the client device 100 again.

The client device 100 is provided with an application program capable of performing a part of the data processing function of the server 200 and transmits the food image retrieved from the external database unit 300 to the client device 100 And may generate a menu image, and a plurality of databases managed by the database unit 300 may be transmitted together with an application program installed. That is, the client device 100 may perform both the functions of the server 200 and the database 300 without communicating with the separate server 200 or the database unit 300.

Referring to FIG. 2, a schematic flow of a method of determining a menu image using text according to an embodiment of the present invention is shown.

First, text data associated with a food menu may be received (S11). The text data may be generated at the client device and the generated text data may be transmitted to the server 200 connected to the client device 100 via a network, And may be transmitted and received internally using an application program in which the menu image determination method using text according to the present invention is implemented.

Subsequently, a food image corresponding to the received text data can be searched (S12). In the database unit 300, the database in which the food name and the food image are mapped is retrieved by using the received text data to extract a specific food image. In some other embodiments, the retrieved image may be used by using a web page or the like . As described above, the database unit 300 may be included in the server 200, but is not limited thereto. The database unit 300 may be an independent server or may be included in another server and physically separated from the server 200 It is possible.

In some other embodiments, when retrieving the food image, the input image data and the context data of the text data may be used together to retrieve the food image. The context data may be a similar keyword of the text data. For example, if the text data is a miso stew, the miso station, which is a similar keyword of the miso stew, may be determined as the context data. That is, the similar food image corresponding to the determined context data can be further retrieved, and the extended food image candidate group can be generated by utilizing both the food image corresponding to the text data and the similar food image corresponding to the context data .

If there is a food image corresponding to the inputted text data, the menu image may be provided by arranging the food image on the visualized menu image so as to correspond to the food menu or the text data (S16). The menu image may be posted on the web page of the server 200 or transmitted to the client device 100. For example, the menu image may be a virtual plate-like shape, and a food image corresponding to each menu may be displayed in a predetermined area of the virtual plate. A virtual plate containing a food image may be displayed on a web page or transmitted to the client device 100 for display.

On the other hand, when there is no food image corresponding to the input text data, the similar food image can be searched using the context data of the text data, that is, the similar keyword.

Alternatively, when there is no food image corresponding to the text data, a plurality of sub-texts can be extracted based on the text data (S13). For example, if the text data is "beef bureau," the sub-text can be extracted as "beef" and "station", and the sub food image corresponding to "beef" and the sub food image corresponding to " (S14).

The method of extracting the sub-text may extract sub-texts in a similar order to the corresponding text data among the plurality of food-related keywords stored in the database unit 300, but in a descending order of search or use frequency, but the present invention is not limited thereto, The sub-text may be extracted from the sub-text candidate group determined in advance. Alternatively, the text data may be extracted as syllables according to syllables, phonemes, words, and morphemes, and the user may arbitrarily extract the sub-texts from the input text data.

If a plurality of subtrees are extracted from the text data (S13), a sub food image corresponding to each of the plurality of sub texts can be searched (S14), and a new food image can be generated using the searched plurality of sub food images (S15). For example, it is possible to divide a plurality of sub food images into a main ingredient and a sub ingredient, or to combine or edit a food image based on a weight given to a sub food image.

Finally, the generated food image may be displayed on the client device 100 or the server 200 by arranging the menu image (S16).

Referring to FIG. 3, an example of determining a food image using the text data of FIGS. 1 and 2 is shown.

As shown, the textual data associated with the food menu in general can consist of a combination of a plurality of food ingredients, such as "spinach miso soup. &Quot;

If the text data 10 is a "spinach miso station ", the food image is retrieved using the input text data 10, and if the food image corresponding to the text data 10 does not exist in the database, The subtext can be extracted from the data 10.

In the present embodiment, the sub-text can be divided and extracted as " spin soup "as the first sub-text 11 and" miso station " as the second sub-text 12, Or may be arbitrarily divided according to the text data.

In some other embodiments, similar to the method of retrieving a similar food image using the context data of the text data, sub-context data of the extracted sub-text may be determined to further search for the sub-similar food image. For example, the sub-similar food image corresponding to the "miso soup" can be retrieved using the second sub-context data as the similar keyword of the " miso soup station " The menu image determination process using the text according to the embodiments of the present invention including the sub food image and the sub-similar food image can be performed.

When the first sub food image 21 and the second sub food image 22 corresponding to the first sub-text 11 and the second sub-text 12 are retrieved, they are used to generate the food image 20 .

In the present embodiment, a method of combining sub images may be determined based on weights, but the present invention is not limited thereto, and the user may arbitrarily place sub images to generate the food image 20. [

For example, when the first sub-text 11 and the second sub-text 12 are extracted from the text data 10, weights can be assigned between the sub-texts, and a weight given to the first sub- The first weight and the second weight given to the second sub-text 12 may equally be reflected in the first sub-image 21 and the second sub-image 22, respectively.

The method of determining the weights may be differentiated between the sub-texts based on the appearance frequency of the text, but the present invention is not limited thereto, and the weight may be determined by the client. Alternatively, the weight value corresponding to the sub-text may be preset in the server, and a weight value may be assigned to the sub-text.

Then, a food image can be generated using a plurality of searched food images. For example, a food image that is not searched for text data 10 at first (for example, a method of combining or editing a plurality of sub images 20) may be generated and matched with the text data 10.

As described above, the images can be combined based on the weights given to the first sub food image 21 and the second sub food image 22. [ For example, the size of the second sub-food image 22 to which the high weight is assigned is extended to be arranged in the lower layer, the size of the first sub-food image 21 to which the low weight is given is reduced, can do. In other words, when the image of spinach is placed on the miso soup image with the main ingredient, miso soup as a basic background, a food image of the spinach miso soup may be generated.

In some alternative embodiments, the first sub food image 21 and the second sub food image 22 may be arbitrarily edited and arranged according to the input signal of the client, without distinction of weights, as a method of generating a food image.

The generated food image 20 may be matched with the text data 10 and used as a database.

Referring to FIG. 4, there is shown an example of displaying a food image on a virtual plate using the configuration of FIG. 1 or the method of FIG.

The menu image may be in the form of a virtual plate 30 including a plurality of divided areas 31, 32, 33, 34 and 35, A food image retrieved from or generated from the text data may be displayed. Only a specific food image can be placed in a specific area of the plurality of divided areas 31, 32, 33, 34, For example, only the food image of the rice type can be arranged in the first region 31, and the food image of the rice type can be determined in advance so as not to be arranged in the other region other than the first region 31, And the client or the server may arbitrarily arrange the retrieved or generated food image.

This menu image 30 may be displayed on the client device, the web page. In addition, the server may receive feedback data for the transmitted menu image. For example, the menu image 30 may be transmitted to the client device and the feedback data entered for the menu image 30 may be received from the client device. The feedback data may include whether or not to select the menu image. When the menu image is selected, feedback data for requesting or accepting the food menu displayed in the menu image may be transmitted to the server.

In some other embodiments, an interface for inputting text data to the client device may be displayed, and such interface may be in the form of the virtual plate 30 described above. That is, when the client selects the first area 31 of the virtual plate 30 and inputs the first text data, the first food image corresponding to the first text data may be placed in the first area 31. [ Alternatively, when randomly inputting text data to the client device, the client device may analyze the text data to determine an arrangement area on the virtual screen 30 of the food image corresponding to the text data.

While the present invention has been described in connection with what is presently considered to be practical exemplary embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, but, on the contrary, You will understand. It is therefore to be understood that the above-described embodiments are illustrative in all aspects and not restrictive.

Claims (10)

A method for a client device to determine a food menu image based on text data (Textdata) associated with a food menu,
Receiving text data associated with a food menu from a user of the client device and transmitting the input text data to a server;
Receiving, by the server, a food image corresponding to the text data retrieved in a database within a predetermined range from the server; And
Arranging the received food image so as to correspond to the food menu to display the food image on the visualized menu image,
Wherein when the search by the server fails because the food image corresponding to the text data does not exist in the database, the text data is divided into at least two sub-texts by the server, Wherein the search is performed for each of the two or more divided sub-texts, and the search result for each of the two or more divided sub-texts is combined by the server to generate one food image corresponding to the text data,
Wherein the division into two or more sub-texts includes dividing the text data according to a predetermined unit of at least one of a syllable, a phoneme, a word, and a morpheme,
Wherein the displaying step comprises receiving from the user the feedback data of the user for the displayed food image and transmitting the feedback data to the server, wherein the feedback data is used to order a food menu displayed on the food image Wherein the instruction includes an instruction to display a menu. delete The method according to claim 1,
Wherein the dividing into the two or more sub-texts includes weighting each of the sub-texts based on a predetermined criterion,
Wherein the searching for each of the two or more sub-texts further comprises reflecting the weighting to search results for each of the two or more sub-texts. The method of claim 3,
Wherein generating the one food image comprises combining the weighted results into search results for each of the two or more separate sub-texts. The method according to claim 1,
Wherein the retrieval of the food image performed by the server comprises:
Determining context data of the text data; And
Further comprising retrieving a similar food image corresponding to the context data. delete The method according to claim 1,
Wherein the menu image is a virtual plate shape including a plurality of divided areas and displaying the food image in a predetermined one of the plurality of divided areas of the virtual plate, . delete delete The method according to claim 1,
A database in which a food name and the food image are mapped in a food image search corresponding to the text data is generated by the server,
Wherein the retrieval of the food image by the server inquires a database in which the food name and the food image are mapped based on the text data.

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