Ticket price determination device, ticket price determination method, and ticket price determination program

Abstract

In ticket sales for venues where photography is permitted, both the ticket seller and the ticket buyer It provides a convenient ticket pricing technology for users. [Solution] Database 30 values ​​the video footage taken from seats in the venue where filming is permitted. The seat is associated with the information stored in memory. The value fluctuation monitoring unit 10 stores the video footage taken from seats that can be filmed. The value fluctuation is monitored. The price determination unit 20 determines the value of the video footage taken from seats that can be filmed. The price of the photography ticket associated with the aforementioned photography-permitted seats will be determined based on fluctuations. Section 90 determines the density of photographers at the venue or the number of photographers at the venue, which is determined according to the purchase status of photography tickets at the venue. Based on the visibility conditions due to shadows and other obstructions, we recommend seats where photography is possible.

Description

Technical Field

[0001] The present invention relates to ticket price determination technology.

Background Art

[0002] In recent years, cameras have become smaller and more precise, enabling ordinary users to capture and distribute high-quality videos using such cameras. Additionally, users can easily share and distribute videos using social networking services (SNS). In such a situation, in the future, filming from seats may be permitted at venues such as music live concerts and plays, and there is a possibility that videos captured by ordinary audiences will be distributed or sold on the Internet.

Summary of the Invention

Problems to be Solved by the Invention

[0003] In a system for selling tickets including seat tickets and filming tickets for venues where filming is permitted, it is desirable for both ticket sellers and purchasers to be able to objectively evaluate the value of videos captured from seats and reflect it in the ticket price, or to predict in advance which seats will produce videos of higher value and recommend seats suitable for purchasers to film.

[0004] The present invention has been made in view of such a situation, and its object is to provide a highly convenient ticket price determination technology for both ticket sellers and purchasers in the sale of tickets for venues where filming is permitted.

Means for Solving the Problems

[0005] To solve the above problems, a ticket price determination device according to one aspect of the present invention includes a database that stores the value of images taken from seats in a venue that can be photographed, in association with the seats; a value fluctuation monitoring unit that monitors fluctuations in the value of images taken from the seats that can be photographed; and a price determination unit that determines the price of a photography ticket associated with a seat that can be photographed, in accordance with fluctuations in the value of images taken from the seats that can be photographed.

[0006] Another aspect of the present invention is a ticket price determination method. This method includes a value change monitoring step of monitoring changes in the value of images taken from seats in a venue that are permitted to be photographed, by referring to a database that stores the value of images taken from such seats in association with the seats, and a price determination step of determining the price of a photography ticket associated with a seat that is permitted to be photographed, in accordance with the changes in the value of images taken from such seats.

[0007] Furthermore, any combination of the above components, as well as conversions of the expression of the present invention between methods, apparatus, systems, recording media, computer programs, etc., are also valid embodiments of the present invention. [Effects of the Invention]

[0008] According to the present invention, it is possible to provide a ticket price determination technology that is convenient for both ticket sellers and buyers in the sale of tickets for venues where photography is permitted. [Brief explanation of the drawing]

[0009] [Figure 1] This is a diagram showing the configuration of the ticket price determination device according to this embodiment. [Figure 2] This diagram illustrates the relationships between various types of information managed in a database or blockchain. [Figure 3] This diagram illustrates another example of event information. [Figure 4] This is a diagram illustrating the NFT (Non-Flashcard) associated with a seat and photo session ticket. [Figure 5]This is a flowchart explaining the ticket reservation procedure. [Figure 6] Figure 6(a) is a flowchart illustrating the detailed steps for verifying the ticket price with a photo session as shown in Figure 5, and Figure 6(b) is a flowchart illustrating the detailed steps for verifying the ticket price without a photo session as shown in Figure 5. [Figure 7] Figure 6 is a flowchart illustrating the detailed steps for calculating the price of the photo shoot ticket. [Modes for carrying out the invention]

[0010] Figure 1 is a diagram showing the configuration of the ticket price determination device 100 according to this embodiment. The ticket price determination device 100 includes a value fluctuation monitoring unit 10, a price determination unit 20, a database 30, and a seat recommendation unit 90.

[0011] Database 30 stores seat information 40, purchaser information 50, event information 60, environmental information 70, and filmed video information 80. However, some of this information may not be centrally managed in database 30, but rather managed in a decentralized manner on the blockchain as non-fungible tokens (NFTs). The NFTs function as digital data with proof of ownership for filmed videos and tickets.

[0012] Seat information 40 includes information such as the relative position of the seats to the stage, information on how the stage looks from the seats, whether or not photography is permitted from the seats, and the price history of photography tickets associated with the seats.

[0013] Purchaser information 50 also includes information about the photographer who purchased the seat's photography ticket if photography is permitted for that seat. This information includes details such as the purchaser's height and other physical characteristics, the history of the photographer's video sales prices, and information about the camera equipment the photographer brings with them.

[0014] Event information 60 includes information about the subject of the photo shoot, such as singers and actors; information about special programs at the event, such as retirement ceremonies; and trend information and history, such as the popularity of the subject of the photo shoot.

[0015] Environmental information 70 includes information such as whether the venue is indoors or outdoors, the date and time of the event, the weather on the day and time of the event, and information about the venue's lighting.

[0016] The filmed video information 80 includes the owner of the video, the date and time of filming, the filming location (venue) and seating arrangement, information about the filming equipment, and the history of the sales price of the filmed video.

[0017] In database 30, the value of the video footage taken from seats in the venue where filming is permitted is stored in association with the seat.

[0018] When managing filmed footage using NFTs, including information such as the date, time, and location of filming, as well as details about the seat and filming equipment used, can add a sense of exclusivity to the seat and equipment, thereby increasing the added value of the filmed footage.

[0019] The value fluctuation monitoring unit 10 monitors the fluctuations in the value of video footage taken from seats where filming is permitted. Each time a video is sold, information about the owner and the selling price is added and recorded in the video footage information 80. This information may be distributed and recorded as NFTs on the blockchain. The value fluctuation monitoring unit 10 refers to the video footage information 80 and calculates the total selling price of n videos as the value of the video footage if n videos have been sold. The value fluctuation monitoring unit 10 calculates the initial value of the video footage and the current value of the video footage from the history of the selling prices of the video footage, and can determine the status of value fluctuations, such as whether the value of the video footage is rising, falling, or remaining flat. The value fluctuation monitoring unit 10 monitors the fluctuations in the value of the video footage and notifies the price determination unit 20 of the status of the value fluctuations.

[0020] The price determination unit 20 determines the price of the shooting ticket associated with the seat where shooting is possible according to the situation of the change in the value of the video shot from the seat where shooting is possible. The price of the ticket is the sum of the price of the seat ticket and the price of the shooting ticket.

[0021] The price of the seat ticket is determined by calculating the view occupancy based on the information of other seats that have been purchased in the venue. The view occupancy is the way the stage looks when viewed from the seat, and is a measure indicating how much of the view can be occupied depending on the availability of empty seats. The view occupancy is set based on the height of the purchasers of other seats, the positional relationship with the stage, etc., and is set so that it becomes larger as the ratio of the stage occupied in the video shot from the seat becomes larger.

[0022] The price of the seat ticket varies according to environmental information such as whether it is an indoor venue or an outdoor venue, the date and time of the event, the weather, and the lighting. The environmental information may be fixed for each event.

[0023] In the seat information, the seat is associated with the information of the history of the videos shot, sold, and bought from that seat in the past. By referring to the seat information, information such as what kind of event, what kind of video was shot, at what price it was sold and bought, and what kind of price fluctuations have occurred at the seat can be obtained. The price of the seat ticket for the seat can be determined taking these information into consideration.

[0024] The shooting ticket is associated with one or more seats, and the price of the shooting ticket is dynamically determined from the seat information and the event information. The price of the shooting ticket takes into account the history of the price of the shooting ticket associated with the seat, the trading history of the shot video, and also the fluctuations in the trend of the shooting target person to determine an appropriate price. That is, the price of the shooting ticket is weighted according to the fluctuations in the trend. When there is a trend fluctuation that makes the price of the shooting ticket higher, a weighting coefficient that increases the price of the shooting ticket may be set.

[0025] The price of the filming ticket is determined by judging and predicting the value of the footage taken from that seat based on changes in the trends of the subject being filmed. For example, the following factors are considered: In the case of an already famous artist, the value of the filmed footage will be immediately established and transactions will be completed. In the case of a new artist or a new Olympic athlete, the footage will be traded over the long term, and its asset value will slowly increase. In the case of rumors of marriage this year or retirement this season, the asset value of the filmed footage may suddenly surge. The appropriate price of the filming ticket is determined by judging and predicting the changes in the value of the filmed footage based on these trends. If a sudden surge in the asset value of the filmed footage is predicted, the ticket sales format may be changed to an auction format.

[0026] Furthermore, the price of a photography ticket may be weighted according to the program effect of the ticket being purchased. Program effect means that the price of a photography ticket may fluctuate depending on the program, for example, by setting a higher price for photography tickets due to the release of a new song or the retirement of an artist. In other words, a weighting coefficient may be set so that the price of a photography ticket is higher for programs where it is predicted that the price of the photography ticket will be set higher, such as performances or matches that are held only a limited number of times or feature subjects who are expected to have less exposure in the future.

[0027] Ticket reservations can be made while viewing the seat-to-stage relationship in 3D. By setting the 35mm equivalent focal length and magnification of the camera equipment brought by the photographer during reservation, the angle of view that can be captured with that camera can be viewed in 3D. Note that the seat-to-stage relationship does not necessarily have to be displayed in 3D; it is sufficient if the purchaser (photographer) can understand the seat-to-stage relationship.

[0028] By displaying the physical characteristics of ticket purchasers as silhouettes in a 3D model, it's possible to anticipate the obstruction-related visibility issues when photographing the stage from a seat.

[0029] By freely placing people, instruments, and other objects virtually on a 3D-rendered stage, it's possible to simulate shooting from different seating positions. The lighting settings on the stage also allow for simulations that take into account brightness, shadows, and other factors.

[0030] The seat recommendation section 90 recommends seats that are expected to produce high-quality footage, based on the density of photographers in the venue or the visibility due to obstructions to photography, which is determined by the purchase status of photography tickets at the venue.

[0031] When selling photography tickets, you may separate the venue into areas where photography is permitted and areas where it is not. You may also sell tickets so that there is one empty seat between each person in the seats where photography is permitted.

[0032] The seat recommendation unit 90 may, after a ticket has been purchased, calculate the degree of obstruction to photography in the line of sight from the purchased seat if the purchaser information for seats surrounding the purchased seat is updated, such as when a large-sized user purchases a seat in front of the purchased seat, and recommend moving from the purchased seat to a seat in the same price range based on the degree of obstruction to photography in the line of sight from the purchased seat.

[0033] The seat recommendation unit 90 may recommend seats with high photographic value based on information such as the density of photographers in the venue, for example, whether photographers who have purchased photography tickets are concentrated in a particular area or floor, or whether there are other purchasers with the same equipment near the empty seat in question. For example, if photographers are concentrated in the right area, seats in the left area may be recommended, or if there are few photographers in the second-floor seats, seats on the second floor may be recommended.

[0034] When booking tickets, buyers can refer to the sales history of videos previously filmed from the same seat to check the price from the past to the present.

[0035] Profits from ticket sales can be distributed among the organizers, the venue, and the featured artists or copyright holders.

[0036] Figure 2 illustrates the relationships between various types of information managed in database 30 or blockchain.

[0037] The seat management table for venue A stores other seat information, not shown here, associated with seat identification numbers such as "0101". Each seat identification number includes information about the photography ticket associated with that seat. Here, the information about the photography ticket associated with seat identification number "0101" is shown.

[0038] The information associated with the seat for the photo ticket includes the date and time of the photo shoot, a pointer to the event information, the price of the photo ticket, a pointer to the video management table, and the total price of the current and original video footage.

[0039] For example, the first entry in the information for the photo ticket linked to seat "0101" contains the date and time of shooting "xxxx / 4 / 20", the Ponta points for the event information for that shooting date and time, the price of the photo ticket "3,000 yen", a pointer to the shooting video management table, the current total price of the shooting video "18,000 yen", and the initial total price of the shooting video "6,000 yen".

[0040] The event information for venue A includes the date and time of the event, the event details, and the program. For example, the first entry in the event information for venue A contains the date and time "xxxx / 4 / 20", the event details "Concert by singer ABC", and the program "First performance of new song".

[0041] The video recording management table stores NFT numbers from No. 1 to No. n. This table manages n videos as NFTs on the blockchain in a distributed manner. Each NFT of a video stores, associated with its NFT number, the price history from the beginning to the present, the owner history, and recording information. For example, the NFT number "287983hfds83" has the video's price history from its initial price of "1,600 yen" to its current price of "8,700 yen," the history from the original owner "Mr. A" to the current owner "Mr. H," and recording information such as the recording date and time "21 / 4 / 20," the recording location "Venue A," the seat number "0101," and the camera model name "xxx," all recorded on the blockchain.

[0042] Figure 3 illustrates another example of event information. Unlike in Figure 2, the event information for venue A includes trend information. For example, the first entry in the event information for venue A stores the date and time "xxxx / 4 / 20", event content "Concert by singers ABC", program "First performance of new song", and a pointer to the trend information for singer group XYZ. The trend information for singer group XYZ includes the start date and time of the singer group XYZ's trend record and its trend ranking history. For example, singer group XYZ's trend ranking history was initially 412th, but is now 99th. Singer A from singer group XYZ's trend ranking history was initially 513th, but is now 181st. By referring to the trend ranking history of the trend information, it is possible to predict which member of singer group XYZ's video footage will be the most valuable.

[0043] Figure 4 illustrates an NFT for a photo session ticket linked to a seat. The photo session ticket NFT includes the NFT number, venue and seat number, price history of the photo session ticket from the beginning to the present, owner history, and other information. For example, the NFT number "iifus37843sjdkf" is associated with venue "A" and seat number "0101", the history of the photo session ticket from its initial price of "3,000 yen" to its current price of "11,000 yen", the history from the original owner "Mr. Q" to the current owner "Mr. J", and other information, all recorded on the blockchain.

[0044] Figure 5 is a flowchart illustrating the steps a buyer takes to reserve a ticket.

[0045] The buyer checks the view of the seat and the stage from the seat using a 3D display (S10). The buyer then inputs the camera settings to be used for filming and checks the field of view (S12).

[0046] The buyer enters whether they want to apply for a photography permit (S14). If they apply for a photography permit (Y in S14), they check the price of the ticket with a photography permit (S16). If they do not apply for a photography permit (N in S14), they check the price of the ticket without a photography permit (S18).

[0047] After confirming the ticket price, the buyer enters whether they wish to reserve the ticket (S20). If they reserve the ticket (Y in S20), the reservation is completed and the ticket is issued (S22). If they do not reserve the ticket (N in S20), the ticket is not issued and the process ends.

[0048] Figure 6(a) is a flowchart illustrating the detailed procedure for step S16 of confirming the ticket price with a photo session ticket in Figure 5, and Figure 6(b) is a flowchart illustrating the detailed procedure for step S18 of confirming the ticket price without a photo session ticket in Figure 5.

[0049] The flowchart for confirming the price of a ticket with a photo session, as shown in Figure 6(a), is explained below. The price determination unit 20 sets the seat ticket price (S30). The price determination unit 20 calculates the photo session price from the seat information and event information (S32). The price determination unit 20 determines the price of a ticket with a photo session based on the seat ticket price and the photo session price (S34).

[0050] The flowchart for confirming the price of a ticket without a photography pass, as shown in Figure 6(b), is explained below. The price determination unit 20 sets the seat ticket price (S36). The price determination unit 20 determines the price of a ticket without a photography pass from the seat ticket price (S38).

[0051] Figure 7 is a flowchart illustrating the detailed procedure for step S32 of the calculation of the photo ticket price in Figure 6.

[0052] The price determination unit 20 selects similar events and calculates the price of the photo shoot ticket based on those similar events (S40). Similar events are past events related to the artist who is the subject of the photo shoot. Specifically, it determines the price of the photo shoot ticket by referring to the history of other artists who are closely related to the artist in question, such as belonging to the same group, by referring to the artist search rankings, etc., or by referring to a separate standard price table for artists.

[0053] The price determination unit 20 determines the current fair price based on the past price history of the captured video (S42).

[0054] The price determination unit 20 reflects the program effect in the photo ticket price (S44). For example, it updates the photo ticket price by multiplying it by a weighting coefficient in response to events such as an artist's retirement or the first performance of a new song.

[0055] The price determination unit 20 reflects the trend changes of the subject of the photo shoot in the price of the photo shoot ticket (S46). For example, it updates the price of the photo shoot ticket by multiplying it by a weighting coefficient for the trend changes of the artist, using search keyword rankings on search engines, etc.

[0056] The various processes of the ticket price determination device 100 described above can, of course, be implemented as a device using hardware such as a CPU and memory, but can also be implemented by firmware stored in ROM (read-only memory) or flash memory, or by software on a computer. The firmware program and software program can be recorded on a recording medium readable by a computer and provided, transmitted and received with a server via a wired or wireless network, or transmitted and received as data broadcasting on terrestrial or satellite digital broadcasting.

[0057] As described above, according to the ticket price determination device 100 of the embodiment of the present invention, when purchasing a ticket consisting of a seat ticket and a photography ticket at a venue with areas where photography is permitted and the use and sale of the photographed images are permitted, the price of the ticket can be dynamically determined by taking into account information such as which seats the images taken from in the past were sold for how much and what their current value is. This makes it possible to provide a fair price for the photography ticket associated with the seat in real time.

[0058] Furthermore, by considering the purchase status of photography tickets linked to seats, and based on information such as the density of photographers, the value of past footage, and the impact of obstacles during filming, it is possible to recommend seats that are expected to produce high-quality footage to ticket purchasers. By receiving recommendations for filming locations, it is possible to avoid the dispersion of footage value and prevent a decrease in the value of the filmed footage.

[0059] The present invention has been described above based on embodiments. The embodiments are illustrative, and it will be understood by those skilled in the art that various modifications are possible in combinations of their components and processing processes, and that such modifications also fall within the scope of the present invention. [Explanation of symbols]

[0060] 10 Value fluctuation monitoring unit, 20 Price determination unit, 30 Database, 40 Seat information Report, 50 Buyer Information, 60 Event Information, 70 Environmental Information, 80 Filmed Footage Information, 90 seat recommendation section, 100 ticket price determination device.

Claims

1. A user seat location information acquisition step to obtain information about the user's seat location, A setting information acquisition step which acquires the focal length and magnification of the user's camera as setting information, A field of view determination step, which determines the field of view of the camera based on the aforementioned setting information, A field of view information generation step that generates information about the field of view at the user's seat position based on the user's seat position and the camera's field of view, A display step that displays the information of the visibility state, A method for displaying visibility conditions, including the following.

2. The aforementioned field of view information generation step generates three-dimensional spatial information, in which the camera's field of view is positioned at the user's seat position, as information about the field of view at the user's seat position. The method for displaying the visibility state according to claim 1.

3. A user seat location information acquisition step to obtain information about the user's seat location, A purchaser seat location information acquisition step, which acquires information on the seat location of a purchaser who is a person other than the aforementioned user who has already purchased a ticket, A setting information acquisition step which acquires the focal length and magnification of the user's camera as setting information, A field of view determination step, which determines the field of view of the camera based on the aforementioned setting information, A field of view information generation step that generates information about the field of view at the user's seat position based on the user's seat position, the camera's field of view, and the purchaser's seat position, A display step that displays the information of the visibility state, A method for displaying visibility conditions, including the following.

4. A step to obtain information on the physical size of the aforementioned purchaser, The method further includes a silhouette generation step of generating silhouette information of the purchaser based on the purchaser's physical characteristics, The aforementioned field of view information generation step generates three-dimensional spatial information as the field of view information by positioning the camera's field of view at the user's seat position and the purchaser's silhouette at the purchaser's seat position. The method for displaying the visibility state according to claim 3.

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