KR102276307B1 - Method, device, and program for providing unique venue comprising time information - Google Patents

Abstract

A method, apparatus and program for providing a unique venue are provided. A method of providing a unique venue according to the present invention includes: collecting member information (S110); collecting event information (S120); obtaining a list of at least one selectable event venue among a plurality of unique venues and a plurality of other venues (S130); selecting at least one place from the list based on the member information and the event information (S140); and providing information on the selected place (S150); includes

Description

Method, device and program for providing unique venue including time information {METHOD, DEVICE, AND PROGRAM FOR PROVIDING UNIQUE VENUE COMPRISING TIME INFORMATION}

The present invention relates to a method, apparatus and program for providing a unique venue including time information.

With the advent of new technologies following the 4th industrial revolution, new technologies are being grafted into various fields. Specifically, new technologies such as virtual reality technology and artificial intelligence technology are being applied to various industrial fields.

Among these various technologies, an artificial intelligence (AI) system is a computer system that implements human-level intelligence, and unlike the existing rule-based smart system, the machine learns, judges, and becomes smarter by itself. The more the AI system is used, the better the recognition rate and the more accurate understanding of user preferences, and the existing rule-based smart systems are gradually being replaced by deep learning-based AI systems.

Artificial intelligence technology consists of machine learning (deep learning) and elemental technologies using machine learning.

Machine learning is an algorithm technology that categorizes/learns the characteristics of input data by itself, and element technology uses machine learning algorithms such as deep learning to simulate functions such as cognition and judgment of the human brain. It consists of technical fields such as understanding, reasoning/prediction, knowledge expression, and motion control.

Artificial intelligence technology is applied in various fields, and in particular, it is possible to derive new information by collecting information and inferring conclusions based on the collected information, or by identifying correlations between data included in big data.

In addition, virtual reality refers to an interface between a human and a computer that artificially creates a specific environment or situation as if a person using it is interacting with an actual surrounding situation and environment. Virtual reality refers to artificial reality, cyberspace, virtual world, virtual environment, synthetic environment, artificial environment, augmented reality, and augmented reality. It is sometimes used interchangeably with terms such as reality) and mixed reality.

The purpose of using virtual reality is to allow people to appear and manipulate an environment that is difficult to experience on a daily basis without directly experiencing it, and its application fields are education, remote operation, remote satellite surface exploration, and exploration. Data analysis, scientific visualization, etc.

On the other hand, MICE is an acronym for corporate meetings, incentive trips, conventions, exhibitions and events, etc. In a narrow sense, it is a term that focuses on international conferences and exhibitions. It refers to a promising industry, and in a broad sense, it refers to a convergence industry that includes participant-centered reward tourism and mega events. In addition, the term "event" includes all of MICE, performances, events, festivals, shows, sporting events, and tourism hosted by countries, associations, companies, individuals and organizations. As the global interest in the MICE industry increases and competition for attraction intensifies, Unique Venue, which means a place where you can enjoy the unique charm of the host country and host city, is emerging as an important element of competitiveness. Therefore, it is becoming important in the field of MICE industry to select a place for MICE and to provide various services related to unique unique venues.

Registered Patent Publication No. 10-1611438, 2016.04.05

The problem to be solved by the present invention is to provide a method, apparatus and program for providing a unique venue including time information. These will be clearly understood by those skilled in the art from the following description.

A method of providing a unique venue according to an aspect of the present invention for solving the above-described problems includes: collecting member information (S110); collecting event information (S120); obtaining a list of at least one selectable event venue among a plurality of unique venues and a plurality of other venues (S130); selecting at least one place from the list based on the member information and the event information (S140); and providing information on the selected place (S150); includes

At this time, obtaining at least one unique venue associated with the selected place among the plurality of unique venues (S160); and providing a virtual reality image for the obtained at least one unique venue (S170); may further include.

In this case, the step of acquiring the at least one unique venue (S160) includes: acquiring at least one first unique venue corresponding to the member based on the member information (S161); acquiring at least one second unique venue based on the event information (S162); and determining an order of providing the at least one first unique venue and the at least one second unique venue based on the event schedule included in the event information (S163). may further include.

In this case, the step of providing the virtual reality image (S170) includes: obtaining time information for the at least one first unique venue based on the member's preference information included in the member information (S171); obtaining time information on the at least one second unique venue based on the event details included in the event information (S172); and providing a unique venue for the acquired time information as a virtual reality image (S173); may include.

At this time, the unique venue is divided into a unique venue that includes accommodation facilities and a unique venue that does not include accommodation facilities, and the list of event venues includes the unique venue including the accommodation facility and a plurality of other places. There may be at least one.

In this case, the step of providing the virtual reality image (S170) includes: acquiring a plurality of images and a plurality of images for the at least one unique venue (S174); obtaining a plurality of place clusters by clustering the acquired plurality of images and the plurality of images based on place information (S175); obtaining a plurality of time clusters by clustering images and images included in a first place cluster among the obtained plurality of place clusters based on time information (S176); and generating a virtual reality image for the unique venue based on the images and images included in the first time cluster among the plurality of time clusters (S177). may include.

In this case, the step of generating the virtual reality image (S177) may include: acquiring a plurality of objects included in the virtual reality image generated based on the image and the image included in the first time cluster (S210); determining an object lacking information to be expressed as a 3D image among the obtained plurality of objects (S220); when the determined object is equal to or greater than a preset ratio among the plurality of objects, extracting an image and an image having a degree of relevance with time information from among the images and images included in the first place cluster equal to or less than a preset value (S230); and generating a virtual reality image for the unique venue based on the images and images included in the first time cluster and the extracted images and images (S240). may include.

In this case, the step of collecting the member information (S110) includes: collecting the member's questionnaire information (S310); and collecting the living information of the members (S320); Including, the step of collecting the living information of the member (S320), the step of collecting the personal information parameter of the member (S321); collecting the conversation contents of the members (S322); and obtaining at least one keyword necessary for place selection through natural language processing from the conversation contents of the members (S323); Including, the step of obtaining the list includes (S130), obtaining a place candidate group (S131); and extracting the at least one selectable place from the candidate group based on the purpose and program of the MICE and event, the holding period, the participation scale, budget, accessibility, and surrounding infrastructure information (S132); Including, the step of selecting the at least one place (S140) may include: obtaining preference information of the member based on the collected questionnaire information and living information (S141); and selecting the at least one place from the list based on the preference information (S142). and, selecting the at least one place from the list based on the preference information (S142) includes a place map including information on the at least one place based on a characteristic of the at least one place. generating, wherein the place map is a map clustered based on the relevance of the at least one place, and places with high relevance are located closer to each other, and places with low relevance are located further away from each other (S143); and selecting a place located closest to the center of the clusters included in the place map based on the place map (S144). may include.

In this case, the providing method may include: classifying a plurality of member terminals for a plurality of members receiving the virtual reality image into at least one participant terminal and at least one observer terminal (S410); Receiving person information and object information from the at least one participant terminal (S420); and generating an avatar corresponding to each of the at least one participant terminals based on the person information and the object information (S430). and providing the virtual reality image (S170) includes: generating a virtual reality image for the unique venue including the generated avatar (S440); and providing the generated virtual reality image to the member terminal (S450); may include.

Other specific details of the invention are included in the detailed description and drawings.

According to various embodiments of the present invention, a location suitable for member information and event information may be selected, and various unique venues related to the selected location may be provided through virtual reality images.

Effects of the present invention are not limited to the effects mentioned above, and other effects not mentioned will be clearly understood by those skilled in the art from the following description.

1 is a diagram illustrating a system according to an embodiment of the present invention.
2 is a flowchart illustrating a method for selecting a place according to an embodiment of the present invention.
3 is a flowchart illustrating a method of providing a virtual reality image according to an embodiment of the present invention.
4 is a flowchart for explaining a method of obtaining a unique venue and determining the order of providing the obtained unique venue according to an embodiment of the present invention.
5 is a flowchart illustrating a method of providing a unique venue including time information as a virtual reality image according to an embodiment of the present invention.
6 and 7 are flowcharts for explaining a method of generating a virtual reality image for a unique venue according to an embodiment of the present invention.
8 is a flowchart specifically illustrating a method of selecting a place according to an embodiment of the present invention.
9 and 10 are diagrams and flowcharts for explaining a method of generating a virtual reality image including an avatar according to an embodiment of the present invention.
11 is a block diagram of an apparatus according to an embodiment of the present invention.

Advantages and features of the present invention and methods of achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and those of ordinary skill in the art to which the present invention pertains. It is provided to fully understand the scope of the present invention to those skilled in the art, and the present invention is only defined by the scope of the claims.

The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. As used herein, the singular also includes the plural unless specifically stated otherwise in the phrase. As used herein, “comprises” and/or “comprising” does not exclude the presence or addition of at least one other component in addition to the stated component. Like reference numerals refer to like elements throughout the specification, and "and/or" includes each and every combination of at least one of the recited elements. Although "first", "second", etc. are used to describe various elements, these elements are not limited by these terms, of course. These terms are only used to distinguish one component from another. Accordingly, it goes without saying that the first component mentioned below may be the second component within the spirit of the present invention.

Unless otherwise defined, all terms (including technical and scientific terms) used herein will have the meaning commonly understood by those of ordinary skill in the art to which this invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless specifically defined explicitly.

As used herein, the term “unit” or “module” refers to a hardware component such as software, FPGA, or ASIC, and “unit” or “module” performs certain roles. However, “part” or “module” is not meant to be limited to software or hardware. A “unit” or “module” may be configured to reside on an addressable storage medium or to reproduce one or more processors. Thus, by way of example, “part” or “module” refers to components such as software components, object-oriented software components, class components and task components, processes, functions, properties, Includes procedures, subroutines, segments of program code, drivers, firmware, microcode, circuitry, data, databases, data structures, tables, arrays and variables. Components and functionality provided within “parts” or “modules” may be combined into a smaller number of components and “parts” or “modules” or as additional components and “parts” or “modules”. can be further separated.

Spatially relative terms "below", "beneath", "lower", "above", "upper", etc. It can be used to easily describe the correlation between a component and other components. A spatially relative term should be understood as a term that includes different directions of components during use or operation in addition to the directions shown in the drawings. For example, when a component shown in the drawing is turned over, a component described as “beneath” or “beneath” of another component may be placed “above” of the other component. can Accordingly, the exemplary term “below” may include both directions below and above. Components may also be oriented in other orientations, and thus spatially relative terms may be interpreted according to orientation.

In this specification, a computer means all types of hardware devices including at least one processor, and may be understood as encompassing software configurations operating in the corresponding hardware device according to embodiments. For example, a computer may be understood to include, but is not limited to, smart phones, tablet PCs, desktops, notebooks, and user clients and applications running on each device.

In this specification, virtual reality and virtual reality images are not limited to VR (Virtual Reality) and VR images, but virtual reality (VR, Virtual Reality) and virtual reality images, augmented reality (AR, Augmented Reality) and augmented reality images , includes both mixed reality (MR, Mixed Reality), mixed reality images, and general images, and is not limited thereto, and is used to include all kinds of images in which reality, virtual reality, and reality and virtual are mixed.

In addition, the embodiments of the method of utilizing the virtual reality equipment disclosed in this specification are applied to all of virtual reality (VR, Virtual Reality), augmented reality (AR, Augmented Reality), mixed reality (MR, Mixed Reality) and general images. Possible will be apparent to those skilled in the art.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings.

Each step described in this specification is described as being performed by a computer, but the subject of each step is not limited thereto, and at least a portion of each step may be performed in different devices according to embodiments.

1 is a diagram illustrating a system according to an embodiment.

1, at least one member 10, 20 and 30, virtual reality terminals 12, 22, and 32 of each member, and member terminals 14, 24 and 34 of each member are shown, respectively. have.

In an embodiment, the virtual reality terminals 12 , 22 , and 32 may be configured in the form of a head mounted display (HMD), but is not limited thereto.

In an embodiment, the member terminals 14 , 24 and 34 may be smartphones, but are not limited thereto, and may include all types of computing devices including at least one processor.

In one embodiment, each of the virtual reality terminals 12 , 22 and 32 and the member terminals 14 , 24 and 34 may be implemented as one electronic device, but is not limited thereto. That is, the virtual reality terminal 12 and the member terminal 14, the virtual reality terminal 22 and the member terminal 24, the virtual reality terminal 32 and the member terminal 34 may each be implemented as one electronic device. However, the present invention is not limited thereto.

Referring to FIG. 1 , a server 100 is shown. The server 100 may be implemented as a cloud server.

The server 100 may determine an event venue based on member information and event information about the members 10 , 20 and 30 . In this case, the event information may be, for example, information about an event related to the MICE industry.

At this time, MICE is an acronym for corporate meetings, incentive trips, conventions, exhibitions and events, etc. In a narrow sense, it is a term that focuses on international conferences and exhibitions. It refers to a promising industry, and in a broad sense, it refers to a convergence industry that includes participant-centered reward tourism and mega events.

Furthermore, the server 100 may provide various virtual reality events related to the event venue to the members 10 , 20 and 30 .

In one embodiment, each member 10 , 20 , and 30 is provided with a virtual reality event via the server 100 . According to an embodiment, the virtual reality event may include all types of events provided in the virtual space, and may include various MICEs provided in the virtual space according to an embodiment.

In an embodiment, the virtual reality event may be an event occurring only in a virtual space or may be performed together with an event occurring in a real space. In this case, the virtual space may be generated based on the event site in the real space.

According to an embodiment, the virtual reality event may mean a conference conducted in a virtual reality image. In this case, the virtual reality event may include a participant who directly participates in the conference and an observer who observes the conference.

In one embodiment, the member terminals 14 , 24 and 34 receive a virtual reality image corresponding to a virtual reality event from the server 100 , and transmit the received virtual reality image to the virtual reality devices 12 , 22 and 32 . can be displayed using

In an embodiment, the background of the virtual reality image in which the virtual reality event is provided may be composed of various unique venues. Unique Venue is a compound word of 'unique' and 'Venue (place)', and refers to places such as old houses, museums, and villages with the theme of local culture and characteristics. It may include tourist attractions and the like.

However, the definition of a unique venue is not limited to the above, and may include a unique background or landscape of each region. In addition, the unique venue may include a virtual background reflecting the past times or historical backgrounds of each region as well as modern times. In addition, the unique venue may include a future background expected according to the urban planning of each region, and may also include various virtual backgrounds created by imagination, and is not limited to a specific type.

In the case of international conferences, as the number of cultural tourism programs in the host region for conference participants is increasing, it is possible to provide a more diverse and unique experience by creating a unique venue using virtual reality images. In addition, when all or a part of the conference program is conducted in a virtual reality image, since there is no need to actually visit a corresponding area, the entire schedule may be replaced by virtual reality. In this case, if various unique venues are displayed in the background during a meeting using virtual reality, an indirect experience can be made possible even if you do not actually visit the area. Alternatively, the international conference is conducted in the real world, but places that cannot be visited due to time and space constraints may be replaced with virtual reality.

In addition, the background can be set in various ways other than a specific region, and since the problem of moving places is solved when the entire schedule is replaced by virtual reality, places are selected and grouped based on preference only, regardless of distance or movement, and the corresponding By implementing the places in the background of the virtual reality image, it is possible to give the effect of indirectly visiting many places that members prefer.

In an embodiment, a part of real MICE may be replaced with virtual reality.

For example, MICE may be composed of a group including at least one program and a place corresponding thereto, and the server 100 may determine whether to substitute virtual reality for at least a part of at least one place included in the group. have.

For example, when MICE is a reward tour for employees, there may be cases where a specific tourist attraction is under construction or it is impossible to enter, and it may be difficult to visit a place with a high preference for members or due to movement or time constraints. In this case, the server 100 may determine to replace the corresponding place with virtual reality.

In addition, if you want to host an international conference, you may consider replacing the conference with virtual reality when there are too many participants, when you are far away from each other, or when the budget is insufficient. In this case, since there is no need to visit the country, the entire schedule can be replaced with virtual reality.

In an embodiment, the virtual reality event may also be used for a preliminary survey for selecting an actual MICE venue.

For example, before each place reservation and planning stage for MICE, members can collect necessary information through virtual reality images without actually going to each place.

For example, the server 100 may virtually visit and experience places included in MICE through virtual reality, and update the virtual reality image by reflecting real-time information. For example, by collecting and reflecting changes in real time, such as when a specific place is under construction, a road is under control, a restaurant is closed or closed, or a hotel reservation is changed, members can obtain the latest information. By making it possible to provide a service that can replace the actual field visit.

In an embodiment, when a conference is held in a virtual reality image, information exchanged through the conference may be organized and recorded by artificial intelligence, and the contents of the conference may be disclosed to external observers according to an embodiment. have. For example, in the case of an actual conference, the number of participants may be limited, but in the case of a conference using virtual reality, observers or attendants other than the participants may watch the conference video being held in the corresponding space.

In an embodiment, the server 100 may be managed by a subject providing a virtual reality event, or may be managed by a subject providing a platform or solution for providing a virtual reality event.

Hereinafter, a method of determining an event location and a method of providing a virtual reality image will be described in detail with reference to FIGS. 2 to 10 .

2 is a flowchart illustrating a method for selecting a place according to an embodiment of the present invention.

In step S110, the server 100 may collect member information.

In an embodiment, the member may mean a member of a company that is a target of reward tourism, may mean a target of MICE participation, and is not limited thereto.

The member information may mean personal information including the member's identity, and may further include various other information.

In step S120, the server 100 may collect event information.

In an embodiment, the event information may mean event information that meets the purpose of selecting a place. For example, the place to be selected may be a place related to MICE. In this case, the event information may include information about MICE. At this time, event information includes different information depending on whether it is a meeting, an incentive trip, a convention, an exhibition and an event in the MICE field, or different weights for the same type of information. can be set. For example, in the case of a meeting in the MICE field, information on the number of attendees and a place that can accommodate the number of attendees may be included in the event information with a high weight, and in the MICE field, information related to incentive travel In the case of an event, information related to time and movement, tourist attractions, and surrounding infrastructure may be included in event information having a high weight.

In step S130, the server 100 may obtain a list of at least one selectable event venue among a plurality of unique venues and a plurality of other venues.

In an embodiment, the selectable places may be classified by country, city, or larger or smaller regions, or may be classified based on symbolic places such as famous tourist destinations.

For example, the selectable place may include at least one Unique Venue. At this time, Unique Venue may be classified according to various criteria. For example, a unique venue is 1) old castles, palaces, old houses, and historical sites with accommodations, 2) old castles, palaces, old houses, and historical sites without accommodations, 3) museums, galleries and tourist attractions, 4) boats and tourist attractions. trains, 5) sports and leisure facilities, 6) theaters and concert halls, 7) regional themed complexes, 8) marine exhibition facilities and onboard facilities, 9) design buildings, 10) university educational institutions, information and military headquarters , 11) retail-related commercial facilities, and 12) other landmark facilities. However, the above-described classification is only an example, and it goes without saying that the unique venues may be classified according to various criteria.

On the other hand, in an embodiment according to the present invention, when the list of event venues includes a unique venue, the list of event venues may include only unique venues with accommodation facilities. That is, in many cases, it is not appropriate for accommodation facilities to be provided as virtual reality images to be described later for the purpose of the facility. Accordingly, the server 100 may create a list to include only unique venues with accommodation facilities as a list of event venues.

In addition, the selectable place may further include information on at least one attraction, lodging establishments, restaurants, etc. to which each unique venue and movement can be connected.

In addition, in the case of MICE, the selectable place may include information on a conference hall, a grand ballroom, a hotel, an exhibition hall, etc. where large and small international conferences can be performed. In addition, in this case, the selectable place may further include information on accommodations, restaurants, tourist destinations, etc. for persons participating in the corresponding MICE.

In addition, selectable places may mean places included within a range that can be selected based on cost, schedule, availability of reservation, and the like. A specific method of setting the selectable range will be described later.

In step S140, the server 100 may select at least one place from the list obtained based on member information and event information.

That is, the server 100 may select a place that satisfies the member information and the event information among the event holding places included in the list.

For example, in the case of a meeting in the MICE field, a suitable place is selected based on the event information of the server 100, or in the case of an incentive trip in the MICE field, the server 100 provides member information and event information. Based on the information, members can select the desired location.

In step S150, the server 100 may provide information on the selected place.

In one embodiment, the server 100 may help members to select a place by providing information on the selected place, and when planning MICE for the place, program arrangement for each place, movement line setting, base (for example, , lodging establishments, restaurants, tourist attractions, meeting places, etc.) selection and reservation.

According to an embodiment, the place selected by the above-described method may be a place for members to actually visit. However, the present invention is not limited thereto, and it goes without saying that a place for receiving the virtual reality image may be selected through the above-described method.

3 is a flowchart illustrating a method of providing a virtual reality image according to an embodiment of the present invention.

According to an embodiment, as described with reference to FIG. 2 , an event venue is determined, and members may visit the corresponding location according to the determined location and schedule. However, in most cases, due to time and space constraints, it may be impossible to directly visit and experience various places and unique venues related to the determined place. Accordingly, the server 100 may provide a place that cannot be directly visited or a unique venue using a virtual reality image in order to overcome time and space limitations.

Specifically, in step S160, the server 100 may acquire at least one unique venue associated with a selected place among a plurality of unique venues.

In an embodiment, the server 100 may acquire at least one unique venue associated with the selected place based on the information on the place selected in step S140 . Specifically, the server 100 determines at least one unique venue including the steps of obtaining object information for the selected place, obtaining at least one object related to the obtained object, and the obtained at least one object. At least one unique venue associated with the selected place may be acquired through the steps.

For example, if the object for the selected place is a Gyeongbokgung object, the server 100 obtains an object related to the Gyeongbokgung object (eg, Changgyeonggung object, Changdeokgung object, and Deoksugung object), and displays a unique venue associated with the obtained object. can be obtained

In step S170 , the server 100 may provide a virtual reality image for the acquired at least one unique venue.

The virtual reality image may be provided using a head mounted display (HMD), but is not limited thereto, and may be provided as a 360-degree image using a general display.

4 is a flowchart for explaining a method of obtaining a unique venue and determining the order of providing the obtained unique venue according to an embodiment of the present invention.

Since the virtual reality image has less time and space constraints, it is possible to provide a plurality of unique venues associated with the selected place. Accordingly, the server 100 may provide members with a unique venue associated with a selected place according to various criteria.

In one embodiment, in step S161, the server 100 may acquire at least one first unique venue corresponding to the member based on the member information. In this case, the member information may include member preference information. The member's preference information may be obtained using collected questionnaire information and living information, which will be described later.

In step S162, the server 100 may acquire at least one second unique venue based on the event information. That is, the server 100 may acquire the unique venue related to the event information as the second unique venue. For example, if the event is a reward tourism, the server 100 may acquire a unique venue that is determined not to be visited due to movement restrictions among the unique venues associated with the reward tourist destination as the second unique venue. As another example, if the event is an exposition, the server 100 may acquire a unique venue related to the exposition as the second unique venue, or may acquire a unique venue related to an exposition that has been held in the past as the second unique venue. That is, by using the virtual reality image, the server 100 can provide not only the current unique venue but also the past unique venue to the members.

In step S163, the server 100 may determine the order of providing the at least one first unique venue and the at least one second unique venue based on the event schedule included in the event information.

In one embodiment, if the event is a reward tour, the associated unique venue may change as the tourist moves. Accordingly, the server 100 may determine the order of providing the first unique venue and the second unique venue according to the event schedule information of the moving tourist destination.

* FIG. 5 is a flowchart for explaining a method of providing a unique venue including time information as a virtual reality image according to an embodiment of the present invention.

As described in FIG. 4 , the server 100 may acquire a unique venue related to a place based on member information and event information. However, even a unique venue related to the same place may have a different appearance or different meanings depending on the era. For example, the present Gyeongbokgung Palace and the former Gyeongbokgung Palace may have different meanings. Accordingly, the server 100 may further acquire time information of a unique venue to be provided based on member information and event information, as necessary.

Specifically, in step S171, the server 100 may acquire time information for at least one first unique venue based on the member's preference information included in the member information.

In step S172, the server 100 may acquire time information for at least one second unique venue based on the event content included in the event information.

In step S173, the server 100 may provide a unique venue for the acquired time information as a virtual reality image.

6 and 7 are flowcharts for explaining a method of generating a virtual reality image for a unique venue according to an embodiment of the present invention.

The virtual reality image can be generated by the image of the Unique Venue, but there may be cases where it is necessary to create a virtual reality image for the past Unique Venue, or it is difficult to shoot an image to create a virtual reality image. , there may be insufficient parts in the captured virtual reality image.

Accordingly, in step S174, the server 100 may acquire a plurality of images and a plurality of images for at least one unique venue. In this case, the plurality of images and images obtained may include images captured to generate a virtual reality image.

In step S175 , the plurality of acquired images and the plurality of images may be clustered based on the place information to obtain a plurality of place clusters. Specifically, the server 100 determines a range of virtual reality for generating a virtual reality image, obtains location information for the determined range, maps a plurality of images and location information for each of the plurality of images, and maps A plurality of place clusters may be obtained by performing clustering based on the obtained location information. The image and image data included in the acquired place cluster may be data for the same location.

In this case, the location information may be obtained through GPS information included in the image and the image, but is not limited thereto. The server 100 may extract an image and an object included in the image. When it is determined that the object included in the image and the image including the GPS information and the object included in the image and the image not including the GPS information are the same, the server 100 returns the GPS information of the image and the image including the same object. Based on this, location information can be acquired from images and videos that do not include GPS information.

As an embodiment, each place cluster generated according to the present invention may be a cluster for generating a virtual reality image of each unique venue. That is, the virtual reality image generated based on one place cluster may be a virtual reality image for one unique venue. Hereinafter, in the present invention, the virtual reality image generated by one place cluster is limited to be a virtual reality image for one unique venue, but the present invention is not limited thereto, and the virtual reality image generated from a plurality of place clusters is not limited thereto. It goes without saying that the virtual reality image for one unique venue or the virtual reality image generated from one location cluster may be a virtual reality image for a plurality of unique venues.

In step S176, the server 100 may obtain a plurality of time clusters by clustering images and images included in the first place cluster among the plurality of obtained place clusters based on time information.

That is, the server 100 may cluster images and images of the same place based on time information.

In this case, the time information may be obtained through the photographing time information included in the image and the video.

In step S177, the server 100 may generate a virtual reality image for the unique venue based on the image and the image included in the first time cluster among the plurality of time clusters.

Through the above-described method, the server 100 may generate a virtual reality image at a specific point in time. For example, the server 100 may generate a virtual reality image from various viewpoints, such as a virtual reality image of the current Gyeongbokgung Palace and a virtual reality image of the Gyeongbokgung Palace of the Joseon Dynasty.

Meanwhile, when the images and images included in the time cluster are insufficient to generate the virtual reality images, the server 100 may generate the virtual reality images by adding the images and images included in other time clusters.

Specifically, in step S210 , the server 100 may acquire an image included in the first time cluster and a plurality of objects included in the virtual reality image generated based on the image.

In step S220 , the server 100 may determine an object lacking information to be expressed as a 3D image among a plurality of acquired objects. In this case, an object lacking information for expressing as a 3D image may be a case in which an image for one side of the object exists but an image for the other side does not exist. Specifically, when a front image of a specific object exists but side and back images do not exist, the server 100 may determine that the corresponding object is insufficient to express the 3D image. That is, when the element required to generate the 3D image is less than or equal to a preset ratio, the server 100 may determine that the corresponding object is insufficient to express the 3D image.

In step S230, when the object lacking information to be expressed as a 3D image is equal to or greater than a preset ratio among the plurality of objects, the server 100 determines a preset degree of relevance with time information among images and images included in the first place cluster. Images and images that are less than or equal to the value can be extracted.

That is, since the images and images included in the first place cluster are images and images of different time zones for the same place, the server 100 can generate objects lacking information from objects included in images and images of different time zones. have.

In step S240 , the server 100 may generate a virtual reality image for the unique venue based on the images and images included in the first time cluster and the extracted images and images.

Meanwhile, according to various embodiments of the present disclosure, the server 100 may perform historical research on the virtual reality image for the created Unique Venue. For example, the virtual reality image generated through the above-described method may include an object that does not fit the times. Accordingly, the server 100 obtains time information of the virtual reality image, obtains information about a plurality of objects included in the virtual reality image, obtains time information of the obtained object, and obtains time information of the object and the virtual reality image. When the time information is different, the corresponding object may be deleted from the virtual reality image. At this time, the time information of the object is information about the first time the object occurred in the literature (for example, information about when a car was first invented), information about the last time that the object existed (for example, information about the time when the dinosaurs went extinct), etc. can According to various embodiments, when the object is a historical person, the date of birth and death of the person, information on a place where the person is located by time period, etc. may be information on the viewpoint of the object.

For example, if the generated virtual reality image is a virtual reality image that reproduces Gyeongbokgung Palace in the Joseon Dynasty, and a car object is included in the generated virtual reality image, the server 100 determines that the car object is an erroneously inserted object Then, a virtual reality image in which the car object is deleted may be generated.

8 is a flowchart specifically illustrating a method of selecting a place according to an embodiment of the present invention.

In step S310, the server 100 may collect the member's questionnaire information.

In an embodiment, the server 100 may collect questionnaire information for location selection performed on members. For example, the questionnaire information may include a question for directly asking each member a desired place, or may include a question for collecting information related to each member's taste or preference. In an embodiment, the questionnaire items may be automatically obtained based on an artificial intelligence model.

In this specification, the artificial intelligence model refers to a model learned based on machine learning (machine learning). In one embodiment, the AI model clusters the questionnaire items obtained from the database, and selects items that can collect information necessary for place selection, that is, provide meaningful information for each member to select a desired place. can do.

For example, the learning data used to train the AI model may include information on a place that each member actually wants and information that the member responds to each questionnaire question. The artificial intelligence model may perform learning using the learning data, and may select questionnaire items having a predetermined relationship between a location desired by a member and a response to a questionnaire item.

In addition, the artificial intelligence model may be trained based on the learning data in which the questionnaire items, their responses, and information on the places (tourist spots, MICE venues, etc.) desired by each respondent are labeled. In this case, the artificial intelligence model may obtain a place desired by each member based on the responses to the questionnaire questions of each member.

In this case, the questionnaire information may be collected in advance before the location selection is made, but of course, it may also be collected after participating in MICE and various events. That is, the server 100 may collect post-questionnaire information for members who participated in MICE held at Unique Venue and after participating in various events. The collected questionnaire information may include information such as satisfaction with events, complaints, and points for improvement. The server 100 may use the collected post-questionnaire information when selecting a place later. For example, in selecting a location for an event that includes member information that is equal to or more than a preset ratio with member information who participated in a post-survey after participating in a past event, the server 100 determines the location based on the post-question information of members who participated in the past. can be selected.

In step S320, the server 100 collects the member's living information, in step S321, the server 100 collects the member's personal information parameters, and in step S322, the server 100 collects the member's conversation contents. And, in step S323, the server 100 may obtain at least one keyword required for place selection through natural language processing from the conversation contents of the members.

In one embodiment, the member's life information may include the contents of each member's conversation. For example, the member's life information may include the contents of conversations conducted by each member using an e-mail or a messenger.

In addition, the member's life information includes various personal information parameters collected based on the member's commuting time, business hours, work performance, welfare point usage history, other welfare (language, physical education, etc.) usage history, consumption history for hobbies, etc. may include

The server 100 may recommend a suitable place for each member based on the collected life information of the member. The recommendation of a place may be performed based on the above-described artificial intelligence model.

For example, the artificial intelligence model may be learned based on each member's living information and learning data in which each member's desired place is labeled. According to an embodiment, the AI model may be learned by using the questionnaire information and life information of each member together.

In an embodiment, the artificial intelligence model may obtain keywords necessary for place selection through natural language processing from the conversation contents of the members, and may obtain the place desired by the members through calculation based on the obtained keyword.

In an embodiment, the artificial intelligence model determines at least one parameter having a significant correlation with place selection among members' living information, extracts information corresponding to the parameter from the member's living information, and uses the extracted parameters By carrying out learning, members can acquire the desired place.

In an embodiment, the artificial intelligence model may collect information on places desired by each member. For example, information on a place desired by each member may be obtained from direct questionnaire information or may be obtained from an artificial intelligence model by the above-described method.

In step S131, the server 100 may obtain a place candidate group.

* In an embodiment, the place candidate group may be extracted by automatically recommending a place suitable for a purpose, or may be obtained based on information stored in an existing record or database.

In an embodiment, the server 100 may automatically select a predetermined place candidate group from the database based on a member's input.

For example, the server 100 receives an input from the member for the purpose of selecting a place, receives an input of a region (eg, domestic/overseas, travel time, continent, etc.), and automatically selects a candidate group for the corresponding place. can be obtained with

In step S132 , the server 100 may extract at least one selectable place from the candidate group based on the MICE and event holding purpose and program, holding period, participation scale, budget, accessibility, and surrounding infrastructure information. However, the present invention is not limited thereto, and in extracting the selectable places, the server 100 includes information on the number of event participants, space information that can accommodate the number of participants in the event, information on accommodation facilities, traffic information, space information available during the holding period, Various types of information such as city information can be used, and it goes without saying that each of the various pieces of information can be used to extract a selectable place by setting a weight according to importance.

For example, there may be cases in which it is impossible to use the place because it is out of the budget range, insufficient infrastructure, or reservation is not possible among the candidate groups. Accordingly, the server 100 may extract at least one selectable place from the place candidate groups.

In step S141, the server 100 may obtain the member's preference information based on the collected questionnaire information and life information.

For example, the server 100 may extract characteristics of a place preferred by each member based on questionnaire information and living information collected for each member. According to an embodiment, the server 100 may directly extract a place preferred by each member.

In step S142, the server 100 may select at least one place from the list based on the preference information.

For example, the server 100 may select a place preferred by each member from the list based on the member's preference information, or may select a place corresponding to the member's preference from the list.

In step S143, the server 100 may generate a place map including information on at least one place based on the characteristics of the at least one place. In this case, the place map is a map clustered based on the relevance of at least one place, and places with higher relevance may be located closer to each other, and places with lower relevance may be located farther from each other.

In step S144 , the server 100 may select a place located closest to the center of the clusters included in the place map based on the place map.

Specifically, the AI model can collect and cluster information about places each member wants. The artificial intelligence model may select a place desired by more members, and when different places are aggregated, a place map including information about each place may be generated based on the characteristics of each place through clustering.

For example, the place map may be a map that is clustered and organized based on the relevance of each place, and may be located closer to places with high relevance to each other, and further to places with low relevance to each other. The place map may be configured in 2D or 3D, and may be configured in a higher dimension according to an embodiment.

The artificial intelligence model may select a place located in the center of clusters included in the place map, based on the place map. For example, even if 50% of the members selected Place A, 20% of the members selected Place B, and 30% of the members selected Place C, the median calculated based on the Place Map is close to Place B. , place B may be finally selected.

Criteria for judging the relevance of a place can be set differently depending on the characteristics of each place. For example, in the case of reward tourism, whether each place is close to a resort, whether it is close to a tourist destination, whether it is hot, cold, or mountainous. It can be classified based on various parameters, such as whether there are many or many seas.

A parameter for classifying each place may be preset or determined by clustering of an artificial intelligence model.

9 and 10 are diagrams and flowcharts for explaining a method of generating a virtual reality image including an avatar according to an embodiment of the present invention.

When the virtual reality image for the unique venue is provided, the server 100 may display an avatar corresponding to the member on the virtual reality image. The avatar may have the same shape as each member, but may take various shapes such as a specific character or the shape of another person. Members can manipulate their avatars to inform information, conduct a guide, or experience a unique venue. However, in a specific case, it may be unnecessary to display the avatars of all members on the virtual reality image.

For example, when a large-scale conference is held in a virtual reality image, the number of members may be very large (eg, hundreds, thousands or more). Therefore, in this case, only the avatars of members (hereinafter, participants) who conduct the conference are displayed in the virtual reality image in the virtual reality image, and the members (hereinafter, observers) who watch the conference do not create avatars at a desired or designated time point. You can observe the event in the corresponding virtual reality video at .

Accordingly, as shown in FIG. 9 , the server 100 may classify the terminal corresponding to the member into the participant terminal 200 and the observer terminal 300 .

For example, in the virtual reality video conference as described above, the participant terminal 200 is displayed on the virtual reality image, and the observer terminal 300 is not displayed on the virtual reality image, but at a specific point in time or at an arbitrary point in time. You can attend the virtual reality video conference.

In an embodiment, some of the participant terminals 200 may be converted into the observer terminals 300 , and some of the observer terminals 300 may be converted into the participant terminals 200 . When the participant terminal 200 is switched to the observer terminal 300 , the switched member terminal 400 may no longer be displayed in the virtual reality image. Conversely, when the observer terminal 300 is switched to the participant terminal 200 , the switched member terminal 400 may be displayed on the virtual reality image.

For example, the participant or lecturer may return to the observer after completing the part in charge of the meeting, some of the observers may ask a question or participate in the meeting, and the observer terminal 300, which has been waiting while observing the conference as an observer, is his turn. may be switched to the participant terminal 200 for a lecture to perform a lecture.

In an embodiment, a lecture or presentation may be provided through a virtual reality image, and a separate space may be created for this.

For example, in an existing virtual reality video conference, a lecturer as one of the participants may be on a stage provided for a virtual reality video and give a lecture, but may also give a lecture in a separate space specialized for a lecture or presentation.

For example, the lecturer may generate a separate virtual reality image for a lecture, inform participants and observers of the virtual reality video conference that the corresponding space has been created, and participate in the virtual reality video conference according to an embodiment Even outsiders who are not doing this can be notified of the creation of the virtual reality image through the network.

The virtual reality image is displayed on the virtual reality imaging device of the member who has received the notification and selected to enter the virtual reality image, and the lecturer can give a lecture on the virtual reality image. In the virtual reality image, only the avatar of the lecturer may be displayed, and the audience may not be displayed, but according to an embodiment, the avatar of the audience may also be displayed, and as described with reference to FIG. For the audience, the avatar may be temporarily displayed.

The lecture may be conducted in real time, or an already recorded lecture may be displayed in a virtual reality video. The types of lectures described in the above embodiment are not limited, and various types of lectures and events such as lectures, lectures, presentations, investment explanations, IR, auctions, demonstrations, and briefing sessions may be provided through virtual reality images. have.

The structure and background of each virtual reality image may be created and modified by the lecturer and the presenter, and an appropriate structure and background may be automatically generated based on the contents of the lecture and event according to an embodiment.

Specifically, as shown in FIG. 10 , in step S410 , the server 100 classifies a plurality of member terminals for a plurality of members receiving a virtual reality image into at least one participant terminal and at least one observer terminal. can

In step S420 , the server 100 may receive person information and object information from at least one participant terminal.

In step S430, the server 100 may generate an avatar corresponding to each of the at least one participant terminal based on the person information and the object information.

In step S440, the server 100 may generate a virtual reality image for the unique venue including the generated avatar.

In step S450, the server 100 may provide the generated virtual reality image to the member terminal.

On the other hand, according to various embodiments of the present invention, the server 100 may set the viewpoints of the participant terminal and the observer terminal, and provide images corresponding to the set viewpoints to the members corresponding to the participant terminal and the observer terminal. .

Specifically, the server 100 may provide the virtual reality image to the one or more participant terminals, and the viewpoint of the virtual reality image provided to the one or more participant terminals is the avatar corresponding to the one or more participant terminals, respectively. can be fixed in the position of

Also, the server 100 may provide the virtual reality image to the one or more observer terminals, and the viewpoint of the virtual reality image provided to the one or more observer terminals may be set to be changed by a member.

In an embodiment, the viewpoint of each participant may be fixed to a position where the avatar of each participant is actually arranged in order to avoid confusion. Specifically, when the avatar includes eyes in the form of a human, animal, or character, the viewpoint may be fixed to the position of the avatar's eyes. However, if the position of the avatar's eyes is moved, the viewpoint may also move accordingly. .

For each participant, a virtual reality image based on a fixed viewpoint is provided. That is, the participant's viewpoint may be fixed as the viewpoint of the avatar corresponding to the participant.

However, since the observer is not displayed on the virtual reality image, it is possible to observe the virtual reality image event from various viewpoints desired. However, according to an embodiment, the observer's viewpoint may be limited as a range, and it goes without saying that a range of positions where the viewpoint cannot be arranged may also be set.

For example, the server 100 may calculate a range of a viewpoint in which information that is difficult to be disclosed to outsiders can be viewed, and prohibit an observer's viewpoint movement in the corresponding range. In addition, the server 100 may not render an unnecessary part for the virtual reality image event in order to reduce the load of generating and viewing the virtual reality image, and calculates the range of a viewpoint from which the part can be viewed, It is possible to prohibit the observer from moving the viewpoint of the scope.

As another embodiment, different virtual reality images may be provided to each observer for each observer's authority. For example, the more privileged the virtual reality image provided to an observer, the wider the selection right can be given, and for members who do not have access to specific information, the information may be blinded or they may not be able to view the information. A virtual reality image in which a possible viewpoint range is blocked may be provided.

Meanwhile, according to various embodiments of the present disclosure, when the participant terminal is changed to the observer terminal, the server 100 may delete the created avatar, and when the observer terminal is changed to the participant terminal, the server 100 may create a new avatar. That is, as described with reference to FIG. 9 , some observers may be changed to participants, and in this case, avatars of members who have been changed to participants may be generated and displayed on the virtual reality image.

In this case, the observer may immediately move from the existing viewpoint to the position where the avatar is to be displayed in the virtual reality image, and the observer's viewpoint may also immediately move. In another embodiment, the observer's viewpoint may move from the existing viewpoint position to the moving target position, and when the observer's viewpoint enters a preset range (eg, on a stage or a pulpit), an avatar of the observer is created and , the generated avatar can be displayed at the point of view of the corresponding observer. Thereafter, the avatar may move along the observer's viewpoint. When the observer is out of the preset range, the observer's avatar may be removed from the virtual reality image.

11 is a block diagram of an apparatus according to an embodiment of the present invention.

The processor 102 may include at least one core (not shown) and a graphic processing unit (not shown) and/or a connection path (eg, a bus, etc.) for transmitting and receiving signals to and from other components. have.

The processor 102 according to an embodiment performs the method described with reference to FIGS. 1 to 10 by executing at least one instruction stored in the memory 104 .

For example, the processor 102 obtains new learning data by executing at least one instruction stored in the memory, and performs a test on the acquired new learning data using the learned model, and the test result, Extracting first learning data in which labeled information is obtained with an accuracy greater than or equal to a predetermined first reference value, deleting the extracted first learning data from the new learning data, and the new learning data from which the extracted learning data is deleted can be used to retrain the learned model.

On the other hand, the processor 102 is a RAM (Random Access Memory, not shown) and ROM (Read-Only Memory: ROM) for temporarily and / or permanently storing a signal (or data) processed inside the processor 102. , not shown) may be further included. In addition, the processor 102 may be implemented in the form of a system on chip (SoC) including at least one of a graphic processing unit, a RAM, and a ROM.

The memory 104 may store programs (at least one instruction) for processing and controlling the processor 102 . Programs stored in the memory 104 may be divided into a plurality of modules according to functions.

The steps of a method or algorithm described in relation to an embodiment of the present invention may be implemented directly in hardware, as a software module executed by hardware, or by a combination thereof. A software module may contain random access memory (RAM), read only memory (ROM), erasable programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), flash memory, hard disk, removable disk, CD-ROM, or It may reside in any type of computer-readable recording medium well known in the art to which the present invention pertains.

The components of the present invention may be implemented as a program (or application) to be executed in combination with a computer, which is hardware, and stored in a medium. The components of the present invention may be implemented as software programming or software components, and similarly, embodiments may include various algorithms implemented as data structures, processes, routines, or combinations of other programming constructs, including C, C++ , Java, assembler, etc. may be implemented in a programming or scripting language. Functional aspects may be implemented in an algorithm running on at least one processor.

As mentioned above, although embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art to which the present invention pertains can realize that the present invention can be embodied in other specific forms without changing its technical spirit or essential features. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

10, 20 and 30: members
12, 22 and 32: virtual reality terminal
14, 24 and 34: member terminals
100 : server

Claims (1)

In the method of providing a unique venue performed by a server,
collecting member information (S110);
collecting event information (S120);
obtaining a list of at least one selectable event venue among a plurality of unique venues and a plurality of other venues (S130);
selecting at least one place from the list based on the member information and the event information (S140);
providing information on the selected place (S150);
obtaining at least one unique venue associated with the selected place among the plurality of unique venues (S160); and
providing a virtual reality image for the obtained at least one unique venue (S170); further comprising,
The step of collecting the member information (S110) is,
collecting member's questionnaire information (S310); and
collecting life information of the members (S320); including,
Collecting the member's living information (S320),
collecting the personal information parameters of the members (S321);
collecting the conversation contents of the members (S322); and
obtaining at least one keyword necessary for place selection through natural language processing from the conversation contents of the members (S323); including,
The step of obtaining the list is (S130),
obtaining a place candidate group (S131); and
extracting the at least one selectable place from the candidate group based on the purpose and program of MICE and the event, the holding period, participation scale, budget, accessibility, and surrounding infrastructure information (S132); including,
The step of selecting the at least one place (S140),
obtaining the member's preference information based on the collected questionnaire information and living information (S141); and
selecting the at least one place from the list based on the preference information (S142); including,
The step of selecting the at least one place from the list based on the preference information (S142),
A place map including information on the at least one place is generated based on the characteristics of the at least one place, wherein the place map is a map clustered based on the association of the at least one place, and has high relevance to each other. The more places the closer to each other, and the lower the correlation with each other, the farther away from each other, step (S143); and
selecting a place located closest to the center of the clusters included in the place map based on the place map (S144); including,
The step of providing the virtual reality image (S170),
acquiring a plurality of images and a plurality of images for the at least one unique venue (S174);
obtaining a plurality of place clusters by clustering the acquired plurality of images and the plurality of images based on place information (S175);
obtaining a plurality of time clusters by clustering images and images included in a first place cluster among the obtained plurality of place clusters based on time information (S176); and
generating a virtual reality image for the unique venue based on images and images included in a first time cluster among the plurality of time clusters (S177); A method of providing, comprising:

Images