KR20210019362A - AR, VR design simulation contents - Google Patents

Abstract

An emotion-based search system consists of an emotion-based search unit having a wallpaper color pattern image database constructed by matching wallpaper color pattern image data and an image property extracted from the image data and an emotion knowledge database constructed by matching an emotion evaluation value representing an emotion of the wallpaper color pattern image and an image property corresponding to the emotion evaluation value, searching for an image property matching an inputted emotion evaluation value in the emotion knowledge database if the emotion evaluation value is inputted, and searching for wallpaper color pattern image data matching an image property similar to the searched image property in the wallpaper color pattern image database to suggest the wallpaper color pattern image data. The emotion-based search system is used to apply a wallpaper color pattern image searched based on an emotion to augmented reality (AR) and virtual reality (VR) design three-dimensional virtual models to allow design simulations. The present invention provides an emotion-based image search system and augmented reality (AR) and virtual reality (VR) design simulation content using the same, which allow a user to perform sufficient verification through product data replacement or the like in a virtual space and can save the time and effort of product selection.

Description

AR, VR design simulation contents}

The present invention relates to AR (Augmented Reality), VR (Virtual Reality) design simulation content, in particular, by searching a color pattern image corresponding to an emotional adjective, presenting a wallpaper design, and applying an image provided based on emotion to a 3D model. The present invention relates to an emotion-based image search system that provides design simulation, and AR (augmented reality) and VR (virtual reality) design simulation contents using the same.

In color psychology, human emotions about a single color in an average sense are evaluated through experiments. In "Color Image Scale" published in 1990 by Kobayashi of Japan, an image scale consisting of pairs of adjectives having opposite concepts, such as warm-cold, hard-soft, etc., was defined. In addition, single colors and emotional adjectives are arranged on this image scale, and a single color and emotional adjective are associated. In addition, the color scheme composed of several colors is also related to the emotion given by the color scheme, and this image scale is widely applied in the field of color design.

However, in the Color Image Scale, only sensibility related to single color or color is presented, and it is not enough to directly apply it to products in which many colors are randomly mixed, such as textiles, wallpaper, flooring, and carpets, and interior products such as exterior materials, textiles, and cosmetics. .

In general, the content-based search of an image is a method of searching using several representative colors of an image, or a method of searching using the shape or texture of an object contained in the image. However, this search is a method that only considers the physical characteristics of the image, and the user's emotion is not considered.

The present invention is to solve the above problems, by matching the image properties of the color and texture of the MPEG-7 visual descriptor and the wallpaper and the image of the wallpaper color pattern into a database, and by evaluating the emotion of the image. Provides an emotion-based image search system that searches and presents images with image attributes corresponding to emotional adjectives by matching emotional adjectives and image attributes into a database, and converts images searched based on emotion into AR (augmented reality) and VR ( The purpose is for AR (Augmented Reality) and VR (Virtual Reality) design simulation contents that allow users to directly simulate wallpaper designs corresponding to emotional adjectives by using them for design simulation.

The present invention for achieving the above object is a wallpaper color pattern image database constructed by matching wallpaper color pattern image data and registered image attributes extracted from the wallpaper color pattern image data, and wallpaper sampled from the wallpaper color pattern image database In the AR (augmented reality), VR (virtual reality) emotional knowledge database, and the emotional adjective entered by the user, constructed by matching the emotional evaluation value applied with the color pattern dictionary and the image attributes extracted from the wallpaper color pattern image. Matched image attributes are searched in the AR (Augmented Reality), VR (Virtual Reality) emotional knowledge database, and registered image attributes similar to the image attributes are used as a key for the wallpaper color pattern image AR (Augmented Reality). ), searching in a VR (virtual reality) database, and including an emotion-based search unit for searching and presenting wallpaper pattern image data matching the searched registered image attribute from among wallpaper color pattern image data stored in the wallpaper color pattern image database. It provides features of AR (Augmented Reality) and VR (Virtual Reality) design simulation contents.

As described in detail above, the present invention searches for a color pattern of a wallpaper design in a database corresponding to an emotional adjective, displays the products searched for user verification, and selects a product suitable for one's preference among the searched wallpaper color patterns. Select and apply it to a 3D virtual space model using an AR (Augmented Reality) and VR (Virtual Reality) database, and provide the user with a navigation function, so that the user can perform sufficient verification through product data replacement in the virtual space. And save time and effort in product selection.

In addition, it is possible to easily search the wallpaper that the customer wants on the web by using the system without going to the store directly, and it is possible to select from a variety of wallpaper design products according to the emotion that the customer wants, so the range of choice is greatly expanded. Promoting rational purchasing by giving confidence in the choice.

In addition, the emotion-based search system, AR (augmented reality) and VR (virtual reality) design simulation content according to the present invention can be applied to various wallpaper design products, and when combined with offline, the market can be further activated.

1 is a block diagram schematically showing the configuration of an emotion-based image retrieval system according to the present invention.
FIG. 2 is a flowchart showing an embodiment of a method of constructing a wallpaper color pattern image database of FIG. 1;
3 is a flow chart showing an embodiment of a method for constructing the emotional knowledge database of FIG. 1;
FIG. 4 is a flowchart showing an embodiment of a method for searching an image based on emotion using the system for searching for a color pattern based on a wallpaper shown in FIG. 1;
5 is a diagram showing an embodiment of an emotional knowledge database according to the present invention.
6 is a block diagram showing an embodiment of a design simulation system according to the present invention.
7 is a flowchart showing an embodiment of a design simulation method using AR (augmented reality) and VR (virtual reality) design simulation contents of FIG. 6.
8 and 9 are views showing an embodiment of a design simulation viewer to which AR (augmented reality) and VR (virtual reality) design simulation contents of FIG. 6 are applied.

Augmented reality is displayed as if it actually exists in the provided image content and is rotated in all directions 360 degrees to experience while observing, or as if observing while moving continuously in any one of the 360 degree directions, or as if observing while moving in a vehicle. It is a field of virtual reality that you can experience.

Virtual reality (VR) is a computer graphic that excludes interaction with the real world and processes objects or objects to be exposed in a state in which they interact with each other in a pre-built virtual space.

On the other hand, augmented reality (AR) is a computer graphic of a concept that complements real world information (augmented information) with virtual world information by exposing the real environment and virtual objects in a synthesized state in real time. Is the real world environment.

In other words, augmented reality (AR) uses a special interface called a computer graphic to a real-world image or real-life image that is actually observed, and registers a 3D virtual image to express the real environment and the virtual environment of the virtual world. As the distinction for is ambiguous, the actual environment is augmented so that it can be seen as an improved image, and it can be applied so that the observer can quickly, quickly and conveniently judge the situation for information on a specific area or actual product. That is, augmented reality is widely known and corresponds to a technology that can be easily recognized, so no further detailed description will be made.

In addition, according to the present invention, a wallpaper color pattern image database constructed by matching wallpaper color pattern image data and registered image attributes extracted from the wallpaper color pattern image data color matching with respect to wallpaper color pattern image data sampled from the wallpaper color pattern image database An emotional knowledge database constructed by matching the emotional evaluation value applied with a dictionary and the image attributes extracted from the wallpaper color pattern image, and when a user inputs an emotional adjective, the image attribute matching the input emotional adjective is searched in the emotional knowledge database, The wallpaper color matching the registered image attribute among wallpaper color pattern image data stored in the wallpaper color pattern image database by searching the wallpaper color pattern image database for a registered image attribute similar to the image attribute using the searched image attribute as a key Emotion-based search unit that searches and presents pattern image data A three-dimensional model database in which a three-dimensional model image that is an object of a design simulation is stored A viewer that displays the three-dimensional model image and the wallpaper color pattern image selected from the three-dimensional model database A design simulation system is provided, comprising a control unit that applies the wallpaper color pattern image data presented by the emotion-based search unit to a 3D model image and displays it through the viewer.

The image attribute and the registered image attribute are characterized by being composed of any one of a visual descriptor, wallpaper color, and texture of MPEG-7.

The viewer applies the wallpaper color pattern image to the 3D model image, and displays the applied image by navigating, expanding, reducing, or revising the image according to a user's selection.

There may be a plurality of embodiments of the present invention, and hereinafter, preferred embodiments will be described in detail with reference to the accompanying drawings.

Through this embodiment, it is possible to better understand the objects, features, and advantages of the present invention.

1 is a flow chart showing an embodiment of a method of building a wallpaper color pattern image database according to the present invention, Figure 2 is a flow chart showing an embodiment of the method of building the wallpaper color pattern image database of Figure 1, Figure 3 A flow chart showing an embodiment of a method for constructing an emotional knowledge database of 1, and FIG. 4 is a flow chart showing an embodiment of a method for searching an emotion-based image using the emotion-based wallpaper color pattern search system shown in FIG. 1.

Emotion-based search system includes wallpaper color pattern image database 10, emotional knowledge database 20, control unit 100, viewer 110, search engine 121, user interface 40, and manager interface module 50. Include. The wallpaper color pattern image database 10, the emotional knowledge database 20, the control unit 100, the search engine 121, the user interface 40 and the manager interface module 50 are included in the web server, and the user terminal and the manager terminal Connects to the user interface 40 and the manager interface module 50 through a network to provide an online emotion-based image search service.

The wallpaper color pattern image database 10 is a database in which an image of a wallpaper color pattern is matched with a registered image attribute of a wallpaper color pattern and stored. Wallpaper color patterns are used to color design objects and include flattened color images such as outdoor decoration products and paintings. The registered image attribute is an image attribute extracted by a visual descriptor of MPEG-7 colors and textures or other image attribute extractors.

As shown in Fig. 2, the wallpaper color pattern image database is constructed by the following method. That is, the step of extracting the registered image attributes extracted by the MPEG-7 color and texture visual descriptor or other image attribute extractor from the wallpaper color pattern image (S11), the wallpaper color pattern and the extracted registered image A wallpaper color pattern image database is constructed by performing the step of matching attributes (S12) and storing the matched wallpaper color patterns and registered image attributes (S13).

The emotional knowledge database 20 is a database in which emotional adjectives and image attributes are matched and stored. 3 shows a method of constructing the emotional knowledge database 20. As shown, it comprises a wallpaper color pattern image data sampling step (S21), a wallpaper color pattern emotion evaluation step (S22), an emotion evaluation value and image attribute matching step (S23), and a storage step (S24).

The wallpaper color pattern image data sampling step (S21) is to sample wallpaper color pattern image data to be equally evaluated in an image property space among wallpaper color pattern image data of the color pattern image database 10. In the wallpaper color pattern emotion evaluation step (S22), the sampled image data is evaluated by an expert such as a designer to obtain an emotion evaluation value corresponding to the image data.

The emotional evaluation value is an image scale of emotional adjectives such as "warm", "dynamic", and "heavy". The emotional evaluation step (S22) of the wallpaper color pattern image is a process of providing the sampled wallpaper color pattern images to a group of design experts connected online, and a process of statistically processing and storing the emotional evaluation value input by the expert group. Online evaluation methods can be used.

On the other hand, when design experts or general consumers perform emotion evaluation according to their preferences for a large amount of wallpaper color pattern image data, an emotion classifier that imitates it is automatically generated, so it can automatically classify a large amount of image data. There will be. For example, an image similar to a feature vector extracted from a wallpaper color pattern image determined to be elegant may be automatically classified as an elegant image later.

The emotional evaluation value and the image attribute matching step (S23) is to match the image attributes matched with the wallpaper color pattern on which the emotional evaluation has been performed, and the emotional evaluation value. The storage step (S24) is to build a database of AR (augmented reality) and VR (virtual reality) design simulation contents by storing the matched image properties and emotional evaluation values.

The relationship between the image data of the wallpaper color pattern and the registered image attribute is established in the wallpaper color pattern image database 10, and the relationship between the emotion evaluation value and the image attribute is established in the emotional knowledge database 20. Here, the emotional evaluation value is composed of adjectives expressing emotion, and the image attribute is composed of a visual expression such as MPEG-7 color or texture.

The controller 100 performs a search including a viewer 110 that displays a wallpaper color pattern for performing a search for an emotion-based image and a search engine used for the search. A user interface (I/F) 40 provides interfacing with a user. For example, an emotional adjective or the like is input from the user and transmitted to the control unit 100. The user interface 40 is connected to a user terminal (not shown in the drawings) including an input unit for inputting an emotional adjective for a search and a display unit for outputting a search result.

All.

A search method using the emotion-based search system configured as described above is shown in FIG. 4. In the emotion-based image search, when a user inputs an emotional adjective, the image of emotion corresponding to the input adjective is searched and presented.

First, when a sentiment adjective is input from a user, it is input to the user interface 40, and the user interface 40 transmits the inputted sentiment adjective to the control unit 100 (S31), and the search engine 121 senses the input adjective. It expands to adjectives included in the knowledge database 20 (S32), and searches the stored image attributes matched with the adjectives using the emotional knowledge database 20 (S33). The wallpaper color pattern image data matched with the image attributes is searched in the wallpaper color pattern image database 10 (S34), and an image of the wallpaper color pattern corresponding to the search result is displayed through the viewer 110.

Adjective query expansion in step S32 is the process of converting the adjectives input by the user into the form of the adjectives used to build the emotional knowledge database, using hierarchical relationships or associations between adjectives. It can be configured in the form of a thesaurus. Thesaurus is a kind of index (software) for performing machine search of information, which is the main business of computers. The role of thesaurus is to first group similar words into one and limit the meaning of each term when searching for literature information about a certain word. It aims to unify the concept in search by standardizing it and makes it possible for anyone to search in the same order and contents. If the same adjective as the adjective used to build the emotional knowledge database is entered by the user, the query expansion step is omitted, and the adjective query is expanded even when the user is presented with a limited number of adjectives and selected from the adjectives presented. Step S32 can be omitted.

In the emotional knowledge database 20, since the relationship between the emotional space corresponding to the adjective constituting the query input and the image attribute is established, the corresponding image attribute is found using this. The searched image properties are again used to search for wallpaper color patterns by acting as a search key to find the corresponding image in the wallpaper color pattern image database. Through this process, the wallpaper color pattern corresponding to the sentiment adjective is searched for AR (reinforcement). Reality), VR (virtual reality) design simulation contents are presented to users.

If the search engine 121 includes a multi-dimensional index such as a CS-tree, when there are tens of thousands of wallpaper color pattern image data in the wallpaper color pattern image database 10, the search engine 121 sends CS to the search engine 121 for search speed. It can be used to find an image by searching a multi-dimensional index such as a tree, and if the multi-dimensional index structure is not included, the image having the greatest similarity is compared with the registered image properties of the wallpaper color pattern image database 10. Search the image and present it to the user. CS-tree is a large-capacity database search technology, which is a high-dimensional image storage structure. It interlocks with the existing database to search for desired results within one to two seconds for hundreds of thousands of images.

A method of simulation contents for AR (augmented reality) and VR (virtual reality) design using the emotion-based search system as described above is shown in FIGS. 6 and 7.

AR (Augmented Reality) and VR (Virtual Reality) design simulation content according to the present invention selects an object for color design using a 3D model database 30 in which an image of a 3D model to be designed is stored under a web environment. It enables a color plan that simulates the design with the wallpaper color pattern suggested by the emotion-based search, and verifies the design result of the subject through enlargement, reduction, navigation, and correction functions of the colored image.

As shown, the design simulation system uses an emotion-based search system, includes a 3D model database 30 in which 3D images to be colored are stored, and the controller 100 performs a search function and a control function. The control unit 100, the database 10, 20, 30, the user interface 40, and the manager interface module 50 are composed of a web server, and the user terminal and the manager terminal are configured with the user interface 40 and the manager through a network. It is connected to the interface module 50 and made available in an online environment.

The 3D model database 30 is a 3D modeled image of an object to be colored, which is modeled using Virtual Reality Markup Language and stored 3D virtual objects. Such 3D objects may include an indoor space such as a model house of an apartment or an office, or an outdoor space such as a large-scale apartment complex and a performance hall.

The user terminal is connected to the user interface 40 through a network to receive emotion-based search service and design simulation service online, and the administrator terminal also connects to the manager interface module 50 through the network to perform database construction and management online. Can be done with The administrator interface module 50 is limited to users who are not experts to build the emotional knowledge database 20, or sampling of the emotional knowledge database construction, management of MPEG-7 visual expressors and other image attribute extractors, and the wallpaper color pattern image database construction. It is responsible for the management role of the back.

The viewer 110 is for displaying the modeled 3D virtual object and the searched wallpaper color patterns. Using the viewer 110, a searched wallpaper color pattern may be applied to the 3D virtual object, corrected, enlarged, reduced, and a navigation function may be implemented.

The operating state of the AR (Augmented Reality) and VR (Virtual Reality) design simulation content and the implemented screen will be described with reference to FIGS. 6 to 9. FIG. 8 is a diagram showing the searched wallpaper color pattern and a model image to which it is applied when a user inputs an emotional adjective of'elegant', and FIG. 9 is a model image with a design simulation performed by inputting the emotional adjective of'gentle' It is a drawing.

First, when the user inputs a selection signal to select an object image for color design such as the living room shown in FIGS. 8 and 9 in the 3D model database 30 through the user interface 40 (S41), the viewer 110 The target image is displayed on the monitor (S42) The user can select the wallpaper to be colored from the image, and the viewer 110 has an emotional adjective input window on one side, so that the user inputs an emotional adjective to search for a wallpaper color pattern based on emotion. (S43) The sentiment-based search system searches for the sentiment wallpaper color pattern corresponding to the sentiment adjective input by the above-described procedure (S44) The searched wallpaper color pattern is displayed through the viewer (S45). When the wallpaper color pattern selection signal is input through (40) (S46), the selected wallpaper color pattern is applied to the model image displayed on the viewer 110 (S47). This process is performed by the viewer 110.

It is displayed on the monitor of the user terminal, etc., and occurs interactively, and color design simulation is performed.

Therefore, according to the present invention, according to the present invention, by using the sensibility attribute of the product image to search for wallpaper color pattern images based on sensibility and present AR (augmented reality), VR (virtual reality) design simulation contents, the user's desired emotion The wallpaper color pattern of can be easily found, and it is helpful in design decision making by directly applying it to the desired model image.

In addition, through the use of the present invention, it is possible to automatically evaluate color images such as paintings and photographs, and the design simulation system recommends products according to the user's target sensibility in three-dimensional virtual spaces indoors and outdoors. As a decision support system, it is possible to induce safe purchase of products through e-commerce, and from the perspective of producers, it has the advantage of establishing a product production plan through analysis of the sentiment trend of the products sold.

An embodiment of a design simulation system according to the present invention will be described as follows. The emotional knowledge database 20 uses the color combination dictionary published by the IRI Color Research Institute, uses the dominant color descriptor as the MPEG-7 visual expresser, and the product image shows an embodiment targeting wallpaper. It will be described with reference. The system was built in the JSP web server environment, and the database was MS-SQL.

The IRI Color Research Institute's color dictionary is a book titled "Color Combination" invented by the IRI Color Research Institute in Korea, and is a color dictionary for each of 14 adjective images. In this book, color schemes of 110 chromatic colors and 10 achromatic colors with 10 tones and 11 colors in Hue-Tone system are arranged according to the adjective image, and the ratio of area in each color scheme is also provided. . Emotional adjectives listed in the emotional image space expressed as "dynamic-static", "soft-hard", etc. in the color dictionary are "cute", "upbeat"

", "casual", "dynamic", "modern", "clear", "gentle", "natural", "subtle", "elegant", "gorgeous", "classic", "classy", There are "profound" and the like, and the color scheme representing the atmosphere of each adjective was composed of combinations of the above 120 colors.

In the system according to the embodiment, 14 adjectives and colors expressing them were stored using MS-SQL to construct an emotional knowledge database. In other words, the emotion evaluation with 14 adjectives and the values of (R, G, B) of 120 colors are already suggested in the book.

Since it is not necessary to evaluate the emotion of product images sampled from the surface wallpaper color pattern image database, the step of constructing the emotional knowledge database is omitted.

Fig. 5 shows the contents of the emotional knowledge database built in the administrator interface module composed of JSP and MS-SQL of the web server. 8 to 9 are examples using a wallpaper color pattern image database targeting wallpaper. In the illustrated wallpaper image database, 500 wallpaper images are stored, and since the number of wallpaper images is not large, a multi-dimensional index structure using image properties is not used for emotion-based search. When using product image database such as tens of thousands of wallpaper, a multi-dimensional index structure using image properties such as CS-tree is required to speed up the search. Each image of the wallpaper color pattern image database 10 for wallpaper has a dominant color descriptor value of MPEG-7 as a field element. Also, if the 14 adjectives from the Color Combination Dictionary of the IRI Color Research Institute are used as they are, the step of expanding the adjective query can be viewed as an identity function, so it is omitted, and the search engine is related to the adjective, which is the result of the emotional knowledge database. It is responsible for finding wallpaper images in the wallpaper color pattern image database 10 that maximally matches the color combination, which is a dominant color descriptor. Here, the Euclidean distance was used as a measure of similarity.

The 3D model database 30 is configured using VRML, and the viewer 110 uses CORTONA. Since the IRI Color Research Institute's color dictionary is used as the emotional knowledge database, the user selects and queries one of 14 adjectives, and the selected adjective is a color scheme to have the corresponding emotion from the emotional knowledge database 20 in the emotion-based search unit 120. Extract the (R, G, B) values of the combination. These are displayed on the screen of the user terminal with an area ratio in a corresponding color, and further, wallpaper images having similarities beyond a set range in terms of MPEG-7 dominant color descriptors in the wallpaper color pattern image database 10 are presented. When the user selects one of the presented wallpaper images, the wallpaper is applied to the 3D model selected from the 3D model database and displayed.

As shown in Fig. 8, when the user selects "elegant", ideal color combinations searched for in the emotional knowledge database are displayed on the upper left of the screen, and the selected color is the highest, changing wallpaper, changing floor, carpet. D to replace

The splayed images are presented by extracting the image with the dominant color descriptor most similar to the selected color scheme from the wallpaper image database. The samples in the longitudinal direction of the wallpaper, floor, and carpet express the priority in terms of color selection and similarity.

Among them, the room in which the leftmost samples were taken and tried on displays the situation applied to the VRML virtual space.

9 shows a completed indoor space when a "gentle" atmosphere is selected. The design simulation of these indoor spaces was constructed using the invented example system.

The system of the present invention can be used in combination with a content-based video retrieval system if the property of a product image is used with an MPEG-7 visual presenter. In other words, it is possible to efficiently process queries such as "image search similar to the product image selected in the emotion-based search. Since the wallpaper color pattern image database is composed of the product image and the corresponding MPEG-7 visual expression, it is a content-based search image database. Therefore, if the search engine 121 of Fig. 1 performs the function of simultaneously processing the emotion-based search and the content-based search, and a search interface capable of accommodating both of them is provided, the emotion-based search And content-based search.

The present invention performs emotion evaluation based on product image attributes expressing MPEG-7 visual descriptors and other colors and textures, and electronically using AR (augmented reality) and VR (virtual reality) design simulation contents. In commerce, you can select products based on your emotions.

Even if you are not a color design expert, you can use the target products in the space with the help of the design simulation system to complete the design with enough desired sensibility.

These systems can induce safe purchases because users can directly apply them and select products in a web environment, thereby contributing to the activation of e-commerce transactions for these products, and in terms of producers, product production through analysis of the sentiment trend of sold products. It has the advantage of being able to plan.

In addition, the present invention can be used for automatic evaluation of color images such as paintings and photographs, and since it utilizes MPEG-7 visual representation, it efficiently integrates with the content-based image search system aimed by MPEG-7 to search based on emotion. Can be done.

AR (augmented reality) and VR (virtual reality) design simulation content according to the present invention enables a model house display and customized remodeling to suit consumer preferences, and provides online simulation for customized customer service, It can be used for online/offline customer consultation and suggestions. It can also be used as a product specification specification tool for online purchases.

10 Wallpaper color pattern image database 20 Emotional knowledge database
30 3D Model Image Database 40 User Interface
50 Administrator Interface 100 Control Panel
110 Viewer 120 Emotion-based search unit

Claims (5)

A wallpaper color pattern image database constructed by matching the wallpaper color pattern image data and the registered image attributes extracted from the wallpaper color pattern image data, and a color matching dictionary applied to the wallpaper color pattern image data sampled from the wallpaper color pattern image database An emotional knowledge database constructed by matching the image attributes extracted from the wallpaper color pattern image with Chi, search the emotional knowledge database for the image attributes matching the emotional adjective entered by the user, and use the retrieved image attributes as a key. A registered image attribute similar to the image attribute is searched in the wallpaper color pattern image database, and wallpaper color pattern image data matching the searched registered image attribute is searched and presented from among wallpaper color pattern image data stored in the wallpaper color pattern image database. AR (augmented reality), VR (virtual reality) design simulation content, characterized in that it includes an emotion-based search unit.
The emotion-based AR (Augmented Reality), VR of claim 1, wherein the image attribute and the registered image attribute are composed of any one of MPEG-7 visual descriptor, wallpaper color, and texture. (Virtual Reality) A search system for design simulation content. A wallpaper color pattern image database constructed by matching the wallpaper color pattern image data and the registered image attributes extracted from the wallpaper color pattern image data, and a color matching dictionary applied to the wallpaper color pattern image data sampled from the wallpaper color pattern image database Emotional knowledge database constructed by matching the image attributes extracted from the wallpaper color pattern image with Chi, and when a user inputs an emotional adjective, the image attribute matching the inputted emotional adjective is searched in the emotional knowledge database, and the retrieved image attribute Using as a key, a registered image property similar to the image property is searched in the color pattern image database, and wallpaper color pattern image data matching the registered image property is searched among wallpaper color pattern image data stored in the wallpaper color pattern image database. A three-dimensional model database in which a three-dimensional model image used as an object of AR (augmented reality), VR (virtual reality) design simulation content is stored, and the three-dimensional model image and the wallpaper color pattern image are displayed. AR (Augmented Reality), characterized in that it comprises a viewer that applies the wallpaper color pattern image data presented by the emotion-based search unit to a 3D model image selected from the 3D model data face and displays it through the viewer. ), VR (virtual reality) design simulation content. The AR according to claim 4, wherein the viewer applies the wallpaper color pattern image to the 3D model image, and displays the applied image by navigation, enlargement, reduction, or modification according to a user's selection. Augmented Reality), VR (Virtual Reality) design simulation content. In the emotion-based image search method using the emotion-based image search system of claim 1,
Step of a user inputting a sentiment adjective, expanding the input adjective to an adjective included in the sentiment knowledge database, searching for an image attribute matched to the input adjective using the sentiment knowledge database and stored, the searched Searching for similar registered image attributes in the wallpaper color pattern image database using the image attribute as a key, searching for wallpaper color pattern image data matched with the searched registered image attributes and stored in the wallpaper color pattern image database, and the search result Emotion-based AR (Augmented Reality), VR (Virtual Reality) design simulation content search method comprising the step of displaying an image of a corresponding wallpaper color pattern.

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