KR101697532B1 - System for Providing Event of Distribution Cyber Game Money - Google Patents

Abstract

The present invention provides a system to divide event game money, completing a target image through quests, to receive divided game money. According to the present invention, the system realized in a user terminal through an application comprises: an event interface including a team formation module to form a plurality of teams gathering one or more users, and a quest providing module providing a target image to the team in the event interface to provide users belonging to the team with a plurality of quests to generate the same completed image as the target image; an evaluation module including an evaluation unit receiving a score of the completed image from a plurality of users not belonging to the team to perform evaluation, and a ranking application unit to assign ranking of the completed image based on the score; and a division module including a prize money division unit to differentially divide event game money to the team in accordance with ranking, and a prize money giving unit to give the event game money to the user belonging to the team.

Description

[0001] The present invention relates to an event game distribution system,

The present invention relates to an event game money distribution system. More specifically, the present invention relates to an event game money distribution system, in which a plurality of users team together to implement a target image in a mosaic manner and distribute game money through an evaluation in which users score a completed result To an event game money distribution system.

O2O (Online to Offline) is a combination of online and offline. This means that online and offline are connected in electronic commerce and marketing. In the 1990s, as personal computers became popular and online shopping became popular in the 1990s, online and offline services such as showrooming and reverse-showrooming became increasingly active.

These O2O trends are spreading more rapidly as smartphones become more popular. Especially, in recent years, network technology has been developed so that high-capacity multimedia data can be transmitted at a high speed, and service providers that provide various kinds of contents according to the spread of user terminals that can access the network are rapidly increasing.

Service providers offer a wide variety of content such as search, shopping, games and chat services. In particular, gaming services are a huge source of revenue for service providers, Perched.

There are various types of games such as poker, go-top games such as poker, go-top poker, online multi-player online role playing games, racing games, shooting games and sports games in which a large number of user characters compete or cooperate within the game world. And a large number of users are secured for each type. As the population enjoying games increases, there is a growing interest in generating profits through games and interactions, in addition to revenue from games. In other words, the business that seeks additional profit by using the game as a new medium is attracting attention.

However, in the related art, there is a problem that the advertisement or guidance is exposed on the game execution screen, and it is not enough to attract the attention of the user who is immersed in the game. Therefore, there is a problem that the advertisement and guidance effect can not be provided to the user. In addition, when a user executes a game in a specific zone, the user is immersed in the game and does not visit the zone, so that the zone can not be activated. In addition, even if the score of the currently running game achieves the target score, there is no benefit, and therefore there is a problem that the game participation rate of the users can not be increased.

As a method for solving this problem, Korean Patent Registration No. 1387494 entitled " System and method for providing location based service ", when a user terminal enters a specific zone, receives a service list based on zone identification information from a service providing server And when a specific service is selected from the service list, processing is performed so that the specific service is executed. If an event for a predetermined action is generated during service execution, the event occurrence information is transmitted to the service providing server, And a location-based service providing system and method for receiving an item.

However, such a method can only provide a service suited to a user's preference to a single user, and it is somewhat problematic to utilize such a system as a single team so as to directly use the system to distribute goods through event solving .

Next, Korean Patent No. 0793293, entitled " Contents Collaboration Network System and its Method in a Real-Time Community Based on Content Items ", discloses an application plug-in module for plugging in an application program for building a collaborative network system, A content map editor for creating a room and creating a corresponding item in a network room to give attributes, and sharing information with the visitor in real time through consultation according to the consent of at least one registered visitor who is logged in to the network room And a community service unit, thereby enabling collaboration and sharing of the contents.

However, such a method can also handle events through collaborations, but thereafter, it was somewhat problematic to distribute the goods through these events.

Accordingly, in order to solve the above-mentioned problems, a plurality of users team up to implement an objective image as a mosaic, and an event game money distribution system in which users score scores on the finished product and distribute game money through these scores There is a need for development.

SUMMARY OF THE INVENTION It is an object of the present invention to provide a system for distributing game money by completing a target image through a quest.

Another object of the present invention is to provide an event system for generating a finished image through a quest based on a user location.

It is another object of the present invention to provide a system for distributing game money through the evaluation of a completed image.

In order to achieve the above object, the event money distribution system according to the present invention is implemented in a user terminal through an application, and comprises a team formation module for forming a plurality of teams bundling at least one user; And a quest providing module for providing a plurality of quests for providing a target image to the team in the event interface and generating a finished image identical to the target image to a user belonging to the team. A quest judging module for judging whether the quest is executed or not; An evaluation module configured to receive a score of the completed image from a plurality of users not included in the team and to evaluate the score, and a rank application unit configured to rank the finished image based on the score; And a distribution module configured to distribute the event game money to the team in accordance with the rank of the ranking, and a prize payment unit to pay the event game money to the user belonging to the team. do.

Next, the completed image is configured by combining a plurality of segmented regions to be realized in a mosaic manner so as to correspond to the target image, and the quest determination module sets the size, color, and position of the sculpture region A base providing part for providing a base on which the piece area is located to the user terminal screen in the same size as the target image and a pixel piece having a size corresponding to the piece area, A combination part for combining the pixel pieces at the corresponding positions of the piece areas in the base and an image composed of a mosaic creation part for generating a finished image by combining all of the pixel pieces at the base And a creating unit.

In addition, the quest includes a first quest interlocked with the location information of the user, the quest determination module comprising: a location recognition part communicating with the user terminal to generate user location information; A position designating part for generating a position database; and a control part for comparing the user position information with the quest position information, and if it is confirmed that the user has approached the reference position within the reference range, A size selection part configured to select a size of the piece area provided to the user so as to be in inverse proportion to the error distance; and a pixel providing part configured to provide the user with the pixel piece proportional to the size of the piece area And a first quest executing unit for executing the first quest.

In addition, the quest may include a second quest interlocked with the number of people located in the quest position information, and the piece of pixels may be capable of changing the brightness level, and the quest determination module may determine that the position information of another user And a second quest performing unit configured of a duplicate position recognizing part for comparing with the quest position information to confirm that the approach is within the reference range and a brightness control part for gradually increasing the brightness level of the pixel pieces to be provided to the other user .

In addition, the quest includes a third quest interlocked with the error distance of all users, and the quest determination module includes an error averaging algorithm for deriving an error averaged by the average of the error distances of all users included in the team And a size control part for controlling the size such that the pixel pieces provided to all the users included in the team are controlled to have a predetermined distance from the engraved area by differentially controlling the pixel pieces to be proportional to the height of the error average, And an execution unit.

The evaluation unit may include a first score obtaining part for obtaining an initial score from a plurality of users registered in the event distribution system for the finished image, and a second score obtaining part for clustering the finished image into one or more first clusters Acquiring a first classification designating part and a first score which is a relative score for each classification from the one or more users based on the initial score for each of the first classifications; And a second score acquiring part for calculating a second score for the finished image based on the first score of each team.

The evaluation unit may further include a second classification specifying part for clustering the one or more finished images into one or more second classifications based on the degree of similarity between the second scores, And a fourth score acquiring part for calculating a fourth score for each of the completed images based on the second score and the third score .

The evaluation unit may further include a first score acquiring part for acquiring an initial score from a plurality of users registered in the event distribution system for the completed image and a second score acquiring part for acquiring a fifth score for the finished image according to the brightness level of the brightness level And a sixth score acquiring part for calculating a sixth score for each of the completed images based on the initial score and the fifth score.

The evaluation unit may further include a first score acquiring part for acquiring an initial score from a plurality of users registered in the event distribution system for the finished image and a second score acquiring part for calculating an average spacing distance that is an average of the separation distance A seventh score acquiring part for acquiring a seventh score for the finished image in proportion to the high and low of the average spacing distance; and a seventh score acquiring part for acquiring a seventh score for the final image based on the initial score and the seventh score, And an eighth score acquiring part for calculating an eighth score.

The first score acquiring part may acquire the first score using the following equation.

는 k번째 제1 분류의 I번째 완성 이미지의 제1 점수이고,

는 k번째 제1 분류의 I번째 팀의 초기점수이며,

는 k번째 제1 분류에 속하는 완성 이미지의 초기 점수들의 집합이다.)(Where k is an integer equal to or greater than 1, which means a k-th first classification of the first classifications, I is an integer equal to or greater than 1,

Is the first score of the I-th finished image of the k-th first classification,

Is the initial score of the i < th > team of the k < th >

Is the set of initial scores of the completed image belonging to the kth first class.

The second score acquiring part may acquire the second score using the following equation.

는 완성 이미지가 속하는 제1 분류들의 집합을 의미하며,

는 제2 점수이다.)(Where S denotes a set of completed images,

Means a set of first classifications to which the completed image belongs,

Is the second score.)

The fourth score acquiring part may further include weight calculating means for comparing the second score and the third score with a predetermined standard score and giving a weight.

Finally, the fourth score acquiring part is characterized by obtaining the fourth score using the following equation.

는 제4 점수,

는 제3 점수,

는 제2 점수의 가중치,

는 제3 점수의 가중치.)(here,

The fourth score,

The third score,

Is the weight of the second score,

The weight of the third score.

The event game money distribution system according to the present invention comprises:

1) An event interface implemented in a user terminal held by a user is provided to synthesize a plurality of pixel pieces given through a quest to create a finished image,

2) a location information-based quest is provided which enables the user to solve the quest through the location information by using the GPS of the user terminal,

3) After completing the completed image, evaluation is performed by other users, and a system for paying in game money in accordance with the ranked ranking can be presented.

1 is a conceptual diagram showing a schematic configuration of a system of the present invention;
2 is a block diagram showing a configuration for a system of the present invention;
3 is an exemplary diagram illustrating an embodiment of an event interface of the present invention;
4 is an exemplary view showing an embodiment of a pixel providing portion.
5 is a flowchart showing the process of the evaluation module;
FIG. 6 is an exemplary view showing an example of a normalized distribution of a second score; FIG.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. The accompanying drawings are not drawn to scale and wherein like reference numerals in the various drawings refer to like elements.

1 is a conceptual diagram showing a schematic configuration of a system of the present invention.

1, the event money distribution system of the present invention comprises a user 10, a central server 20, and a manager 30.

The user 10 is an object having an account registered in the event game money distribution system, and has a user terminal including a display, and means an object accessible to the event game money distribution system through an event interface implemented through the user terminal do.

The central server 20 is a server on which an event game money distribution system is operated and plays a role of managing the operation of the entire system between the user 10 and the manager 30. [ Finally, the manager 30 is an entity that actually manages the event game money distribution system, and is an object to which an event for distributing the event game money is provided as a result by providing an event interface to the user 10.

2 is a block diagram showing the configuration of the system of the present invention.

A team formation module (200) implemented by a user terminal, the team formation module (200) forming a plurality of teams bundling at least one user (10); The event interface 100 provides a target image 700 to the team and provides a plurality of quests to the user 10 belonging to the team to generate the same finished image 800 as the target image 700 A quest providing module 300; An event interface (100) including a quest determination module (400) for determining whether or not to execute the quest; An evaluation unit (510) for receiving scores of the finished image (800) from a plurality of users (10) not included in the team; a rank application unit An evaluation module 500 composed of a unit 530; A prize distribution unit 610 for distributing the event game money to the team according to the ranking of the ranking, and a prize payment unit 620 for paying the event game money to the user 10 belonging to the team And a dispensing module (600) for dispensing the product.

A user subscription module (not shown) for registering the user 10 and the user terminal in the event game money distribution system may be included. The user 10 may store the name, address, Telephone numbers, accounts, passwords, and the like are entered into the system to register them, and in addition, the user terminal held by the user 10 is registered. Herein, the user terminal means a terminal capable of transmitting and receiving data through a communication network such as a desktop PC, a smart phone, a mobile phone, a PDA, a notebook, and a tablet. Registering a user terminal means a terminal unique number such as a MAC applied to the user terminal And registers it in the system. The user 10 can also be determined by recognizing the user terminal 10 held by the user 10 through the terminal unique number, and the user 10 can access the terminal 10 through the communication with the user terminal It is possible to determine the user 10 by recognizing the unique number of the terminal.

3 is an exemplary diagram illustrating an embodiment of the event interface 100 of the present invention.

3, the user 10 receives a destination image 700, which is divided into a plurality of fragmented regions 810, from the system, (830) at a position corresponding to each sculpture area (810) in the base (820), thereby creating a finished image (800). More details are given in the description of each module.

Referring again to FIG. 2, the team formation module 200 forms a plurality of teams that bind at least one account, and forms a team by grouping a plurality of users 10 registered in the event distribution system, As shown in FIG. It is needless to say that it is possible to create a team by itself in the system, but it is also possible to use a method of inputting a team to the system in advance among the users 10 who are in agreement with each other.

In this case, the team formation module 200 may include a user who records the residence location of the user 10 and the participation performance as objective values, (10) A database 820 is created and weighted according to the objective numerical values to integrate the final ability numerical value. The ability numerical value is divided into a certain range, and the users 10 having a similar capability numerical range are automatically It can be formed as one team. Such an automatic configuration scheme of the team allows the users 10 having the same tendency to be formed as one team, so that it is possible to more effectively participate in the event of the user 10. [

The quest providing module 300 is provided in the event interface 100 and provides a target image 700 for each team to generate a finished image 800 identical to the target image 700 to the user 10 belonging to the team And provides a plurality of quests. Next, the quest determination module 400 determines whether or not the quest is completed.

The quest providing module 300 provides quests for each team and provides a target image 700 for each team so that the user 10 belonging to the team can solve a plurality of quests and provide a pixel The piece 830 is used to create the same finished image 800 as the destination image 700. [ In other words, the pixel pieces 830 can be exchanged through settlement of quests for each account.

The evaluation module 500 includes an evaluation unit 510 that receives scores of the completed images 800 from a plurality of users 10 that are not included in the team, (530). That is, the evaluation unit 510 receives the finished image 800 produced for each team, receives the score of each completed image 800 from a plurality of users 10 who are not a team, And assigns a ranking to the finished image 800 based on the score.

For example, in providing a game having a stage of the evaluation unit 510, one or more completed images 800 may be displayed between stages during the game progress to allow the user 10 to score scores while the next stage is being loaded And enter the score to move to the next stage. This has the advantage that it is possible to provide another amusement to the user 10 during the time the stage is changed. Further, in the case of the user 10 belonging to the event, since there is a possibility that the score is lowered to the finished image 800 maliciously submitted by another team, the evaluation target is limited to the user 10 who is not a team member And more accurate results can be obtained.

The distribution module 600 includes a prize distribution section 610 for distributing event game money to the team according to ranking of the ranking, a prize payment section 620 for paying the event game money to the user 10 belonging to the team, . That is, when ranking is given to the finished image 800 submitted by each team, the prize money distributing unit 610 distributes the event money to each team in proportion to the ranking of the result according to the predetermined criteria. Here, the term "game money" refers to a kind of cyber money, which is not actually circulated but refers to goods that are used as real money when buying and selling knowledge in online shopping, games, and Internet portal sites in cyberspace. In addition, as a distribution method, a method of distributing the entire event game money to the entire team or a method of distributing the money to a team of a certain rank can be utilized.

Here, the completed image 800 is formed by combining a plurality of segmented regions 810 for mosaicing the destination image 700. The quest determination module 400 includes a fragment setting part 411 for setting the size, color, and position of the fragment area 810 and a base 820 in which the fragment area 810 is located in the same size as the destination image 700, A pixel providing part 412 for providing the user terminal 10 with a piece of pixel 830 having a size corresponding to the piece area 810, 830 in combination with a corresponding part of the piece area 810 in the base 820 and a combination part 414 in which all of the pixel pieces 830 are combined in the base 820 to create a mosaic And an image creation unit 410 configured with a part 415.

That is, in order to implement the objective image 700 as a mosaic image, a pixel piece 830 corresponding to the piece area 810 is acquired through the completion of the quest and is synthesized in each piece area 810 , And a finished image 800 in which the destination image 700 is implemented by a plurality of pieces such as a mosaic. Thus, the user 10 creates the finished image 800 by compositing the paid-out pixel pieces 830 into each piece area 810.

4 is an exemplary view showing an embodiment of a pixel providing portion.

The pixel providing unit will be described with reference to FIG. The color of the pixel piece 830 provided through the pixel providing unit allows the user 10 to acquire at least one of the RGB values of 256 ^ 3 (R256, G256, B256) As a sample color table, or to provide a color spectrum generally used in a color program or the like to select one of the colors, or a method of directly selecting values of R, G, and B to be selected .

 At this time, the pixel pieces 830 provided by the user 10 may be synthesized at each of the sculpture regions 810 at will, but in such a case, the quality of the finally obtained result may be very low. Therefore, actual mosaic technology may be utilized as a method for improving the quality and efficiency of the mosaic. That is, in the graphic creation part, a color analysis technique for calculating the average value of the color of the whole or a predetermined area of the target image 700, a morphological analysis technique for recognizing the whole or a specific area type of the target image 700, And an image comparison technique for comparing the color and shape recognized in the technique and the shape analysis technique and determining whether or not the image matches the pixel piece 830 and then selecting and arranging the closest pixel piece 830. [

The color analysis technique is to calculate the average value of the color in the whole or a certain area of the destination image 700, and to calculate the color information to be located in a specific range. Next, the morphological analysis technique recognizes the morphology of each specific range in the destination image 700, and can determine how two or more colors should be arranged. Next, the image comparison technique compares the color and shape recognized in the color analysis technique and the shape analysis technique, determines whether or not the image matches the pixel piece 830, and then selects and arranges the closest pixel piece 830. In general, it may be difficult for a human eye to combine colors of small pixel pieces 830 to produce a large picture. Especially, RGB color is composed of 256 ^ 3 = 16,777,216 colors, and it is not easy to identify it with the human eye. Therefore, the above-described technique may be applied to assist the combination of colors to help the user 10 not to synthesize finely.

Referring again to FIG. 2, the quest may further include three quests of the first quest, the second quest, and the third quest. First, the quest determination module 400 includes a position recognition part 421 for generating user position information by communicating with a user terminal, a positioning part 422 for generating a position database 820 storing the quest position information, An error calculation part 423 for deriving an error distance which is a difference value between the quest position information and the user position information when it is confirmed that the information is accessed within the reference range by comparing the information with the quest position information, A pixel selection part 424 for selecting the size of the pixel area 810 to be in inverse proportion to the error distance and a pixel providing part 425 for providing the user 10 with a pixel fragment 830 proportional to the size of the pixel area 810. [ And a first quest execution unit 420 including a first quest execution unit 413.

That is, the specific location is designated as the quest location information (for example, a small location such as a PC room, a shop, or a wide area, etc.) and is stored in the location database 820. When the user 10 has a user terminal And recognizes that it moves to the vicinity of the quest position stored in the position database 820. At this time, since it is difficult for the user 10 to move to the position (Spot) corresponding to the accurate quest position information, a zone within a certain radius (for example, about 100 m) It is determined that the user 10 is located at the quest position. Then, the difference value, which is how far from the actual quest position information, is derived as the error distance, and the size of the piece area 810 to be provided according to the completion of the quest is selected so as to be in inverse proportion to the error distance. Which is then completed by providing the user 10 with a piece of pixel 830 that is proportional to the size of this sculpted area 810 in the pixel providing part 425, Accordingly, only when the user 10 moves to a more accurate quest position, the user can select and fill the large sculptural area 810, which is an opportunity for the users 10 to participate more actively.

In one embodiment, when one point of a specific PC room is designated as a quest position, when the user 10 enters the corresponding PC room, the user terminal performs location authentication through a beacon located in the PC room, When the user position corresponds to the quest position stored in the position DB, the piece area 810 and the pixel piece 830 are provided in inverse proportion to the error distance. In another embodiment, if a user specifies a point in a region of a location such as Teheranro in Gangnam and the user 10 is located in Teheranro with a user terminal, the user terminal may also be a beacon located in Teheran, And if the user position corresponds to the quest position stored in the location database 820, provides a sculpture area 810 and a pixel piece 830 that are inversely proportional to the error distance.

In addition, the brightness of the pixel piece 830 acquired through the quest may be controlled. It is difficult to obtain a good evaluation from another user 10 if the finished image 800 is generated using the mosaic method and the color having the same brightness is continuously used for the purpose of evaluating it. Therefore, the evaluation module 500 is provided with an overlap position recognizing part 431 for confirming that the position information of another user 10 included in the team is approaching within the reference range as compared with the quest position information, And a brightness control part 432 for changing the brightness level of the pixel piece 830 to be supplied to the other user 10 (for example, gradually increasing the brightness level from step 1 to step 10 by one step) 2 < / RTI >

That is, after the first user 10 visits the quest position within the team, the second user 10 visiting the quest position receives the pixel pieces 830 having different brightness levels. In the case of brightness, the brightness level is generally divided into 12 levels, which is controlled by following the known method. However, if the brightness level is 0, the black color becomes black in any color. If the brightness level is 11, A brightness level in which chromatic colors ranging from 1 to 10 are located is used. That is, the first user 10 who visited the quest position receives the pixel piece 830 having the first level brightness level, the second user 10 sets the pixel piece 830 having the second level brightness level to the third user 10 is given a piece of pixel 830 having a gradually higher level of brightness in such a manner as to receive a pixel piece 830 having a three-level brightness level.

Finally, it is possible to change the size of the piece of pixel 830 provided to improve the accuracy of visiting the quest position of the users 10. An error average calculation part 441 for deriving an error average obtained by averaging the error distances of all the users 10 included in the team and the size of pixel pieces 830 provided to all the users 10 included in the team And a size control part 442 for performing a differential control so as to be proportional to an average of the error averages.

That is, an average of errors is calculated by averaging the error distances of all the users 10 who have visited the quest position (for example, 30 m), and a percentage error is derived from the effective radius (for example, 100 m) / 100) = 0.7). By multiplying this percentage error by the total area of the pixel piece 830, it is possible to control the size of the pixel piece 830 so that the pixel piece 830 is not exactly corresponded to the piece area 810 in the base 820 So that they are spaced apart by a certain distance. As the separation distance seems to be inferior to the finished image (800), it is difficult to obtain a high score in the future evaluation as the distance increases.

Fig. 5 is a flowchart showing the process of the evaluation module 500. Fig.

Referring to FIG. 5, an evaluation method for receiving scores from a plurality of users 10 is described below. The evaluation unit 510 includes a first score acquisition unit 511 for acquiring an initial score from a plurality of users 10 registered in the event distribution system for the finished image 800, A first classification designation part 512 for clustering into one or more first classifications and a second classification designation part 512 for classifying the first score as a relative score for each classification from one or more users 10 based on an initial score for each of the first classifications And a second score obtaining part 513 for calculating a second score for the finished image 800 based on the first scores of each team acquired in the first score acquiring part 511 . That is, since there are several users 10 registered on the system, it is a very difficult task to receive a score from these users. It is very difficult to see them as the same score because the viewpoints are different and the evaluation criteria are different.

Therefore, the criterion to which the score is given is clustered so as to be evaluated only for a specific matter (for example, color harmony, similarity, completeness, originality, etc.). That is, the initial score is performed in the first score acquiring part 511 to give the overall score that the user 10 thinks like the method of assigning the score to the user, and at least one of the above- And a second score acquiring part for additionally receiving a first score based on the first score and calculating a second score based on the first scores. Accordingly, the initial score is inputted first, and as a result of the evaluation of the common matter, the first score is input secondarily, and the second score is processed to give a more fair score.

Therefore, by further increasing this process, the evaluation section 510 is provided with a second classification designating part 514 for clustering one or more finished images 800 into one or more second classifications based on the degree of similarity between the second scores, A third score acquiring part 515 for acquiring a third score, which is a relative score for each of the second images, from each of the plurality of images 10 based on the second score and the third score, And a fourth score acquiring part 516 for calculating a fourth score. That is, the method of deriving the second score is repeatedly performed so as to obtain evaluation results based on more objective criteria.

The initial score and the second score will be described in more detail as follows. The initial score may be a relative score of each user 10 based on the comparison between the first classification and the users 10. Therefore, the initial score can be determined on the basis of a predetermined value, and the score of the provider having the highest score among the users 10 can be assumed to be 1, and the first score of the user 10 in the first classification is the highest The closer to the score of the user 10, the closer to 1 it can be.

That is, the first score can be calculated by the following equation (1).

Equation 1

는 k번째 제1 클러스터의 I번째 완성 이미지(800)의 제1 점수이고,

는 k번째 제1 분류의 I번째 초기점수이며,

는 k번째 제1 분류에 속하는 완성 이미지(800)의 초기 점수들의 집합일 수 있다.Here, k is an integer equal to or greater than 1, which means a k-th first classification of the first classifications, I denotes an I-th finished image 800 of the resultant,

Is the first score of the I-th finished image 800 of the k-th first cluster,

Is the I-th initial score of the k-th first classification,

May be a set of initial scores of the completed image 800 belonging to the k-th first classification.

가 계산될 수 있다. 각 유저(10)의 초기점수는 각 팀에 의해 제공된 완성 이미지(800)에 대한 점수들의 평균일 수 있고, 각 유저(10)의 초기 점수는 가장 먼저 진행되는 평가를 통해 획득될 수 있다.That is to say, according to the above equation (1), the first score, i.e., the relative score of the I-th user 10 of the K-

Can be calculated. The initial score of each user 10 may be an average of the scores for the completed image 800 provided by each team and the initial score of each user 10 may be obtained through the earliest evaluation.

The initial score of each user 10 is a general score by the users 10, and is a score given by each user 10 whose scores by various individual criteria are not separated. For example, the initial score may be an evaluation score for the overall harmony from one user 10, or an evaluation score for the color feeling of a specific portion from another user 10. [

Therefore, it is possible to present to at least one of the users (10) who have made an evaluation based on the first category specifying at least one of specific matters (e.g., color harmony, similarity, completeness, originality, etc.) To calculate a second score for each completed image 800. [ That is, a first score may be calculated for each of the first categories, and a second score of each category may be calculated based on the first scores.

6 is an exemplary view showing an example of the normalized distribution of the second score.

For example, the second score may be an average of the first score of each user 10 obtained for the first classification. The second score can be calculated by the following equation (2).

Equation 2

는 완성 이미지(800)가 속하는 제1 분류들의 집합을 의미하며,

는 제2 점수를 의미한다.Here, S means a set of completed images 800,

Means a set of first classifications to which the finished image 800 belongs,

Means the second score.

The calculated second score can be normalized. For example, the computed second score may be normalized by a min-max normalization algorithm and may have a value of 0 to 1. That is, one or more users 10 can acquire a second score obtained for the second classification different from the first classification.

(제1 분류의 가중치),

(제2 분류의 가중치)를 사용하여 제4 점수를 도출할 수 있는 것이다. 제4 점수는 하기의 수학식 3에 의해 계산될 수 있다.In addition, in the case where two evaluations to the fourth score acquiring part 516 are performed, the second score and the third score to be evaluated may be weighted to derive the fourth score. In other words, the fourth score acquiring part 516 further comprises weight calculating means (not shown) for comparing the second score and the third score with predetermined standard scores and assigning weights, and the weight calculating section Weight derived from

(Weight of the first classification),

(The weight of the second classification) can be used to derive the fourth score. The fourth score can be calculated by the following equation (3).

Equation 3

는 제4 점수,

는 제3 점수,

는 제2 점수의 가중치,

는 제3 점수의 가중치를 의미한다. 즉, AHP(Analytic Hierarchy Process)방식의 일종으로 제2 점수 및 제3 점수를 기 설정된 표준점수와 비교하여 표준점수 대비 %값을 가중치로 설정하는 것이 일반적이다. 또 표준점수가 기설정되지 않은 경우라면 이전에 수행한 이벤트에서 동일한 분류에 따라 도출된 점수의 평균값을 활용할 수도 있다, 이렇게 설정된 가중치에 따라 제4 점수를 획득하도록 하는 것이다. 이러한 계산법을 통해 중요하지 않은 분류가 분류기준으로 사용되더라도 가중치의 적용을 통한 보정이 가능해진다.here,

The fourth score,

The third score,

Is the weight of the second score,

Means the weight of the third score. In other words, it is a kind of an AHP (Analytic Hierarchy Process) method in which the second score and the third score are compared with a predetermined standard score, and the% value is set as a weight value with respect to the standard score. In addition, if the standard score is not already set, the average value of the score derived from the same classification in the previous event may be utilized. The fourth score is obtained according to the weight thus set. This calculation makes it possible to calibrate by applying weights even if non-critical classifications are used as classification criteria.

In this manner, a second score or a fourth score, which is the result of each condition, is set in accordance with a predetermined condition (progressing to a second score calculation step of acquiring a second score or progressing to a fourth score calculation step of acquiring a fourth score) . In addition, a sixth step of calculating the brightness level and an eighth step of calculating the eighth score based on the average distance may be further added. In this case, a predetermined condition is applied similarly to the second and fourth points, .

That is, the evaluation unit 510 includes a fifth score acquiring unit 517 for acquiring a fifth score for the finished image 800 in accordance with the brightness level of the brightness level, And a sixth score acquiring part 518 for calculating a sixth score for the pixel 810 in the completed image 800. In addition, A seventh score acquiring part 520 for acquiring a seventh score for the finished image 800 according to the average spacing distance and a seventh score acquiring part 520 for calculating an initial score and a seventh score And an eighth score acquisition part 521 for calculating an eighth score for each completed image 800 based on the eighth score. In other words, by providing additional score according to the above-described brightness level and the distance between the user and the user, various opportunities are provided for the user 10 to obtain various scores.

As described above, the finished image 800 is divided into a plurality of sculpted areas 810. [ Accordingly, the users 10 of the team create a mosaic image by locating the pixel pieces 830 in one of the plurality of pieces of the piece regions 810 using the pixel pieces 830 obtained by solving the quests Which is derived as a finished image 800. Therefore, it is necessary to record how many pixel pieces 830 the user 10 has placed, or to record the number of times the quest has been completed, so that one user 10 is completed with respect to the amount of quests necessary to fill the whole sculpture area 810 If the ratio of one quest is generated as the participation rate information, the distributed event money for the one completed image 800 is divided again into the participation rate information so as to be distributed in proportion to the total amount of the tasks actually performed by each user 10 So that the users 10 can be encouraged to participate more actively.

As another method, the color of each of the sculptural areas 810 is recognized in the destination image 700 to generate original color recognition information, and an RGB color database 820 is created by listing the pieces of information. 810) to generate color recognition information for recognizing each RGB color. The color recognition information may be compared with the original color recognition information stored in the RGB color database 820 to derive the degree of similarity value and the game money may be paid to each user 10 in proportion to the derived degree of similarity value.

That is, it is more mechanically to grasp the completeness of the finished image 800, and it is possible to measure the actual mechanical completeness (similarity) separately from those ranked through the score of the users 10 and to distribute the proportional event money The method is applied. That is, original color recognition information that recognizes the colors corresponding to the respective sculptural areas 810 in the original image 700 as an original is stored in the RGB color database 820. Then, in the finished image 800, color recognition information that recognizes the RGB colors of each of the engraved regions 810 is derived, and the similarity degree values are derived by comparing the color recognition information with the original color recognition information stored in the RGB color database 820 . In other words, the RGB values can be derived from the values of the three color components from 0 to 255. The error is calculated by taking the difference of each color element as an absolute value, and the sum of the RGB element values (256 * 3 = 768), which is the final error. This is deducted from the reference value of 1 (100%) to derive the final similarity value.

For example, assuming that the original color recognition information is R100 G100 B100 and that the color recognition information is R200 G100 B0, an absolute value difference of 100 occurs in R and an absolute value difference of 100 occurs in R, so that the sum of 200 An error will occur. Therefore, the final error is set as the final error by dividing the error 200 by the total RGB value 256 * 3 = 768, which is 0.26 (third rounding), and 0.74 obtained by subtracting the final error from the reference value 1 is derived as the final similarity value will be. Therefore, by giving the event money of the event money multiplied by 0.74 so as to be proportional to the final similarity value, the user 10 can induce a more accurate finished image 800 to be produced.

As described above, the configuration and operation of the event money distribution system according to the present invention have been described above and illustrated in the drawings. However, the present invention is not limited to the above description and drawings, It will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit of the invention.

10: user 20: central server
30: Manager 100: Event Interface
200: a team forming module 300: a quest providing module
400: a quest judgment module 410:
411: Pieces setting part 412: Base provided part
413: Pixel providing part 414: Combination part
415: Mosaic generation part 420: First quest execution part
421: Position awareness part 422: Positioning part
423: Error Calculation Part 424: Size Selection Part
425: Pixel providing part 430: Second quest performing part
431: Duplicate position recognition part 432: Brightness control part
440: Third Quest Performer 441: Error Mean Operator Part
442: Size control part 500: Evaluation module
510: Evaluation unit 511: First score acquisition part
512: first classification designation part 513: second score acquisition part
514: second classification designation part 515: third score acquisition part
516: Fourth score acquisition part 517: Five score acquisition part
518: Obtaining the sixth score Part 519: Distance calculation part
520: seventh score acquisition part 521: eighth score acquisition part
530: Rank application part 600: Distribution module
610: Prize distribution portion 620: Prize payment portion
700: Objective image 800: Finished image
810: Slice area 820: Base
830: Pixel piece

Claims (13)

An event game money distribution system,
As implemented in a user terminal through an application,
A team formation module for forming a plurality of teams bundling at least one user,
An event interface including a quest providing module for providing a target image to the team and providing a plurality of quests to a user belonging to the team to generate the same finished image as the target image;
A quest judging module for judging whether the quest is executed or not;
An evaluation module configured to receive a score of the completed image from a plurality of users not included in the team and to evaluate the score, and a rank application unit configured to rank the finished image based on the score;
And a distribution module configured to distribute the event game money to the team according to the rank of the ranking, and a prize payment unit to pay the event game money to the user belonging to the team,
The finished image may include:
A plurality of fragmented regions are combined to be implemented in a mosaic manner so as to correspond to the target image,
Wherein the quest determination module comprises:
A carving setting part for setting the size, color, and position of the carving area;
A base providing part for providing a base on which the piece area is located to the user terminal screen with the same size as the target image,
A pixel providing part for providing a pixel piece of a size corresponding to the piece area to a user belonging to the team;
A combining part for combining the pixel pieces at corresponding positions of the slice areas in the base;
And a mosaic generating part for generating a complete image by combining all of the pixel pieces with the base. delete The method according to claim 1,
Wherein the quest includes a first quest interlocked with the location information of the user,
Wherein the quest determination module comprises:
A position recognition part for communicating with the user terminal to generate user position information,
A location specifying part for creating a location database storing quest location information,
An error arithmetic part for deriving an error distance, which is a difference value between the quest position information and the user position information, when it is determined that the user position information is compared with the quest position information and approaches within a reference range;
A size selection part for selecting a size of the slice area provided to the user to be in inverse proportion to the error distance;
And a pixel providing part for providing the user with the pixel pieces proportional to the size of the piece area. ≪ Desc / Clms Page number 20 > The method of claim 3,
The quest includes a second quest interlocked with the number of people located in the quest position information,
Wherein the pixel piece is capable of changing a brightness level,
Wherein the quest determination module comprises:
A duplicate position recognition part for confirming that the position information of another user included in the team is approaching within the reference range by comparing with the quest position information,
And a brightness control part for gradually increasing a brightness level of the pixel piece to be provided to the other user. 5. The method of claim 4,
Wherein the quest includes a third quest interlocked with the error distance of all users,
Wherein the quest determination module comprises:
An error averaging operation part for deriving an error averaged by averaging the error distances of all users included in the team,
And a size control part for controlling the size such that the pixel pieces provided to all the users included in the team are controlled so as to have a constant distance from the engraved area by differentially controlling the pixel pieces to be proportional to the height of the error average An event game money distribution system. The method according to claim 1,
The evaluating unit,
A first score obtaining part for obtaining an initial score from a plurality of users registered in said event game money distribution system for said finished image,
A first classification designation part for clustering each of the completed images into at least one first classification,
Acquiring a first score, which is a relative score for each classification, from the one or more users based on the initial score for each of the first classifications, and acquiring a first score of each team obtained from the first score acquiring part Further comprising a second score acquiring part for calculating a second score for the completed image based on the second score acquired by the second score acquiring part. The method according to claim 6,
The evaluating unit,
A second classification specifying part for clustering the one or more completed images into one or more second classifications based on the degree of similarity between the second scores,
A third score obtaining part for obtaining a third score, which is a relative score for each of the second classifications, from the one or more users,
And a fourth score acquiring part for calculating a fourth score for each completed image based on the second score and the third score. 5. The method of claim 4,
The evaluating unit,
A first score obtaining part for obtaining an initial score from a plurality of users registered in said event game money distribution system for said finished image,
A fifth score acquiring part for acquiring a fifth score for the finished image according to the brightness level of the brightness level,
And a sixth score acquiring part for calculating a sixth score for each completed image based on the initial score and the fifth score. 6. The method of claim 5,
The evaluating unit,
A first score obtaining part for obtaining an initial score from a plurality of users registered in said event game money distribution system for said finished image,
A spacing distance arithmetic part for calculating an average spacing distance that is an average of the spacing distance in the completed image,
A seventh score acquiring part for acquiring a seventh score for the finished image in proportion to the height of the average spacing distance,
An eighth score acquiring part for calculating an eighth score for each of the completed images based on the initial score and the seventh score. The method according to claim 6,
The first score acquiring part includes:
Wherein the first score is obtained by using the following equation.

(Where k is an integer equal to or greater than 1, which means a k-th first classification of the first classifications, I is an integer equal to or greater than 1,

Is the first score of the I-th finished image of the k-th first classification,

Is the initial score of the i < th > team of the k < th >

Is the set of initial scores of the completed image belonging to the kth first class. 11. The method of claim 10,
Wherein the second score acquiring part comprises:
Wherein the second score is obtained by using the following equation.

(Where S denotes a set of completed images,

Means a set of first classifications to which the completed image belongs,

Is the second score.) 8. The method of claim 7,
The fourth score acquiring part includes:
Further comprising weighting means for comparing the second score and the third score with predetermined standard scores and giving weights. 13. The method of claim 12,
The fourth score acquiring part includes:
Wherein the fourth score is obtained by using the following equation.

(here,

The fourth score,

The third score,

Is the weight of the second score,

The weight of the third score.

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