WO2020178935A1 - Information processing system, information processing device, server device, program, and method - Google Patents

Information processing system, information processing device, server device, program, and method Download PDF

Info

Publication number
WO2020178935A1
WO2020178935A1 PCT/JP2019/008328 JP2019008328W WO2020178935A1 WO 2020178935 A1 WO2020178935 A1 WO 2020178935A1 JP 2019008328 W JP2019008328 W JP 2019008328W WO 2020178935 A1 WO2020178935 A1 WO 2020178935A1
Authority
WO
WIPO (PCT)
Prior art keywords
advertisement
information
attribute information
person
image
Prior art date
Application number
PCT/JP2019/008328
Other languages
French (fr)
Japanese (ja)
Inventor
聞浩 周
涵 周
佐々木　雄一
路威 重松
Original Assignee
ニューラルポケット株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by ニューラルポケット株式会社 filed Critical ニューラルポケット株式会社
Priority to PCT/JP2019/008328 priority Critical patent/WO2020178935A1/en
Priority to JP2019512700A priority patent/JP6875503B2/en
Publication of WO2020178935A1 publication Critical patent/WO2020178935A1/en

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising

Definitions

  • the technology disclosed in this application relates to an information processing system, an information processing device, a server device, a program, or a method.
  • Advertising is an important marketing material that appeals products and services to potential customers. Therefore, some technologies related to advertising have been proposed.
  • various embodiments of the present invention provide an information processing system, an information processing device, a server device, a program, or a method in order to solve the above problems.
  • a first system is A system including a viewing information generation unit that generates viewing information, The viewing information generation unit, First viewing information about one or more first images based on the first advertisement; Second viewing information related to one or more second images based on the second advertisement selected based on the attribute information, and A system to generate.
  • the second system of one embodiment of the present invention is And a comparison unit that generates information indicating a relationship between the first viewing information and the second viewing information.
  • a third system is The viewing information generation unit uses the interest display information based on the contour of the face, Either the first or the second system.
  • a fourth system is The first advertisement is randomly selected, The second advertisement is selected based on the person prediction information, The system according to any one of the first to third.
  • a fifth system according to an embodiment of the present invention is The second advertisement is selected based on assumed attribute information, The system according to any one of the first to fourth.
  • a sixth system is The second advertisement was selected based on the improved statistically processed data. Any of the first to fifth systems.
  • a seventh system of an embodiment of the present invention is The first advertisement is selected based on the assumed attribute information, and is selected.
  • the second advertisement was selected based on improved statistically processed data, The system according to any of the first to sixth.
  • An eighth system of an embodiment of the present invention is The advertisement selected based on the assumed attribute information is an advertisement associated with the assumed attribute information having a predetermined relationship with the attribute information related to the person prediction information, One of the first to seventh systems.
  • a ninth system is The advertisement selected based on the improved statistical processing data is an advertisement associated with attribute information having a predetermined relationship with attribute information related to person prediction information, The system according to any one of 1 to 8.
  • the tenth system of one embodiment of the present invention is The information indicating the relationship is a ratio of the first viewing information and the second viewing information. Any of the first to ninth systems.
  • An eleventh system is The attribute information includes person attribute information and fashion item attribute information, The system according to any one of the first to tenth aspects.
  • a twelfth system is The first image is an image of one or more people at positions that may be affected by the first advertisement.
  • the second image is an image of one or more people at positions that may be affected by the second advertisement.
  • the system according to any one of the first to eleventh.
  • a thirteenth system of one embodiment of the present invention is
  • the person prediction information includes attribute information possessed by a person who is expected to come to a position that may be affected by the advertisement.
  • the fourteenth method of one embodiment of the present invention is Computer Generating first viewing information for one or more first images based on the first advertisement, A step of generating second viewing information relating to one or more second images based on a second advertisement selected based on attribute information, How to do.
  • the fifteenth program of one embodiment of the present invention is A program for causing a computer to function as any one of the first to thirteenth systems.
  • FIG. 1 is a diagram illustrating an example of an overall image of a system according to an embodiment.
  • FIG. 2 is a diagram illustrating an example of a relationship between the system according to the embodiment and another configuration.
  • FIG. 3 is a diagram illustrating an example of a relationship between the system according to the embodiment and another configuration.
  • FIG. 4 is a diagram illustrating an example of a relationship between the system according to the embodiment and another configuration.
  • FIG. 5 is a diagram illustrating an example of functions of the system according to the embodiment.
  • FIG. 6 is an example of data of the system according to the embodiment.
  • FIG. 7 is an example of data of the system according to the embodiment.
  • FIG. 8 is an example of data of the system according to the embodiment.
  • FIG. 9 is an example of data of the system according to the embodiment.
  • FIG. 10 is a diagram illustrating an example of the flow of the system according to the embodiment.
  • FIG. 11 is an example of data of the system according to the embodiment.
  • FIG. 12 is an example of data of the system according to the embodiment.
  • FIG. 13 is an example of a screen displayed based on the information generated by the system according to the embodiment.
  • FIG. 14 is a diagram illustrating an example of the flow of the system according to the embodiment.
  • FIG. 15 is a diagram illustrating an example of the flow of the system according to the embodiment.
  • FIG. 16 is a diagram illustrating an example of the flow of the system according to the embodiment.
  • FIG. 17 is an example of data of the system according to the embodiment.
  • FIG. 18 is an example of a screen displayed based on the information generated by the system according to the embodiment.
  • FIG. 11 is an example of data of the system according to the embodiment.
  • FIG. 12 is an example of data of the system according to the embodiment.
  • FIG. 13 is an example of a screen displayed based on
  • FIG. 19 is a diagram illustrating an example of an overall image of the system according to the embodiment.
  • FIG. 20 is an example of a screen displayed based on the information generated by the system according to the embodiment.
  • FIG. 21 is a diagram illustrating an example of an overall image of the system according to the embodiment.
  • FIG. 22 is an example of a screen displayed based on the information generated by the system according to the embodiment.
  • FIG. 23 is a diagram illustrating an example of an overall image of the system according to the embodiment.
  • FIG. 24 is a diagram illustrating an example of the flow of the system according to the embodiment.
  • FIG. 25 is a diagram illustrating an example of the flow of the system according to the embodiment.
  • FIG. 1 shows a configuration of a system of one embodiment.
  • a system including an advertisement providing device 101, an imaging device 103, and an information processing device 103 that can be connected to the advertisement providing device and the imaging device is shown.
  • the connection of each device may be connectable via the network 106.
  • the person 102a and the person 102b are people who are in a position affected by the advertisement providing device 101, and may be imaged by the image pickup device 103.
  • the advertisement providing device 101 has a function of providing an advertisement.
  • the mode of providing the advertisement may be various, and may be display of the advertisement, advertisement by sound, or a combination thereof.
  • the form of the advertisement may be, for example, an indoor advertisement, an outdoor advertisement, a traffic advertisement, or the like as long as the advertisement is displayed.
  • the form of the advertisement may be a mobile signage, a fixed signage, an outdoor signage, an in-transit signage, a digital signage, and the like (the advertising medium using digital technology may be referred to as “digital signage”).
  • the sound advertisement may be a speaker.
  • this figure illustrates one advertisement providing apparatus 101
  • a plurality of advertisement providing apparatuses 101 may be connectable to the information processing apparatus 104.
  • the imaging device 103 may be, for example, a camera.
  • the function of the camera may be various modes, and the shooting range and resolution thereof are not limited.
  • the camera may be primarily intended for use with one embodiment of the present invention or for other purposes. For example, it may be a security camera, a surveillance camera, a camera for marketing purposes, etc.
  • this figure shows one imaging device 103, a plurality of imaging devices 103 may be provided for one advertisement. Further, when there are a plurality of advertisement providing apparatuses 101, one or a plurality of imaging apparatuses 103 may be connectable to the information processing apparatus 104 for each of them.
  • the advertisement providing apparatus 101 and the imaging apparatus 103 may be independent apparatuses or may be integrated.
  • an image capturing device capable of capturing an image in front of or around the advertisement providing device may be an advertisement providing device installed around the advertisement display portion.
  • the information processing device 104 may include a bus 110, a calculation device 105, a storage device 107, and a communication IF 111. Further, the information processing device 104 may include an input device 108 and a display device 109. Further, the network 106 may be directly or indirectly connectable.
  • the bus 110 may have a function of transmitting information among the arithmetic device, the storage device, the input device, the display device, and the communication IF.
  • a processor is an example of the arithmetic unit 106. This may be a CPU or an MPU. Further, it may have a graphics processing unit, a digital signal processor, or the like. In short, the computing device may be any device that can execute the instructions of the program.
  • the storage device 107 is a device that records information. This may be either an external memory or an internal memory, and may be a main storage device or an auxiliary storage device. Further, it may be a magnetic disk (hard disk), an optical disk, a magnetic tape, a semiconductor memory or the like. Further, it may have a storage device via a network or a storage device on a cloud via the network.
  • the registers, L1 cache, L2 cache, etc. which store information at a position physically close to the arithmetic unit may be included in the arithmetic unit in the block diagram of FIG.
  • the storage device 107 may include these.
  • the arithmetic device, the storage device, and the bus be configured to cooperate with each other to execute information processing.
  • the storage device 107 may include a program according to the system of one embodiment. In addition, data necessary for executing the service related to the present invention can be appropriately recorded.
  • the storage device may also include a database. Further, the storage device 107 may store an attribute information database and / or statistical processing data described later, or may store a part of such information.
  • Such information processing may be realized by a programmable logic device capable of changing the hardware circuit itself or a dedicated circuit for which information processing to be executed is determined.
  • the input device 108 is for inputting information, but may have other functions. Examples of the input device include a keyboard, a mouse, a touch panel, or an input device such as a pen-type pointing device.
  • the display device 109 has a function of displaying information.
  • a liquid crystal display, a plasma display, an organic EL display and the like can be mentioned, but in short, any device capable of displaying information may be used.
  • an input device such as a touch panel may be partially provided.
  • the network 106 transmits information together with the communication IF. That is, it has a function of transmitting information of the information processing device 104 to another information terminal (not shown) via the network.
  • the communication IF may be any connection type, such as USB, IEEE1394, Ethernet (registered trademark), PCI, and SCSI.
  • the network 19 may be wired or wireless, and may be an optical fiber or a coaxial cable.
  • the connection according to the system of one embodiment described above may be a direct connection or an indirect connection.
  • the hardware configuring the information processing apparatus may be a general-purpose electronic computer or a dedicated electronic computer. Further, the hardware may be a workstation, a desktop computer, a laptop computer, a notebook computer, a PDA, a mobile phone, a smartphone, or the like.
  • the information processing device 104 may be configured by a plurality of information processing devices.
  • the one or more information processing devices may be terminal devices.
  • the plurality of information processing devices may be internally connected or may be externally connected.
  • the owner may be different.
  • the person who operates the information processing apparatus 104 may be different from the owner of the information processing apparatus 104.
  • the information processing device 104 may be a virtual one.
  • the information processing device 104 may be virtually realized by using cloud computing.
  • the system of one embodiment may or may not include an imaging device and / or an advertisement providing device. ..
  • an information processing device corresponding to the information processing device 104 may be referred to as a system.
  • the system may be composed of one or more information processing devices.
  • FIG. 2 illustrates a system according to another embodiment.
  • the system 203 can be connected to the imaging devices 201a and 201b and the advertisement providing devices 202a and 202b via a network.
  • the system may acquire the information regarding the advertisement provided by the advertisement providing apparatus and the information regarding the image acquired by the image capturing apparatus.
  • FIG. 3 illustrates a system according to another embodiment.
  • the system 303a can be connected to the image capturing apparatus 301a and the advertisement providing apparatus 302a
  • the system 303b can be connected to the image capturing apparatus 301b and the advertisement providing apparatus 302b
  • the system 303c can be connected to the image capturing apparatus 301c and the advertisement providing apparatus 302c. It is possible to connect.
  • the system 303 can be connected to the system 303a, the system 303b, and the system 303c.
  • the information processing device 104 may be composed of a plurality of information processing devices, and the roles of the information processing devices of the system 303, the system 303a, the system 303b, and the system 303c may be various.
  • the system 303a may generate attribute information for the image captured by the image pickup device 301a in association with the information related to the advertisement provided by the advertisement providing device 302a.
  • the system 303a may generate statistically processed data based on the attribute information and send the statistically processed data to the system 303, and the system 303 may use the statistically processed data.
  • the statistically processed data transmitted from the system 303a to the system 303 generally has a smaller capacity than the attribute information, there is an advantage that the network load can be reduced.
  • System 303a needs to acquire information such as attribute information to be used, period, and viewing information generation method from system 303 in advance and use them.
  • the system 303b may generate attribute information about the image captured by the imaging device 301b in association with the information related to the advertisement provided by the advertisement providing device 302b.
  • the system 303b may transmit the generated attribute information to the system 303, and the system 303 may use the attribute information.
  • the attribute information since the attribute information generally has a smaller capacity than the image information, there is an advantage that the network load can be reduced.
  • the attribute information may be attribute information corresponding to one or more persons in the image, but the system 303b needs to have a function of generating the attribute information from the image.
  • the system 303c may acquire the image captured by the image pickup device 301c in association with the information related to the advertisement provided by the advertisement providing device 302c.
  • the system 303c may transmit the captured image associated with the acquired information about the advertisement to the system 303, and the system 303 may use the information.
  • the system 303c does not need to have a function of acquiring attribute information from an image, and the system 303 has an advantage of being able to acquire an image capable of generating various information.
  • the information processing apparatus from the image obtained by the imaging apparatus to the generation of the statistically processed data has been described by changing the mode of sharing of the systems 303, 303a, 303b, and 303c.
  • the system 303c is an aspect of transmitting the image as it is, and the system 303b has described only three representative aspects of generating the attribute information during that period. , May be shared among information processing devices.
  • Such statistical processing data based on the image pickup apparatus 301a, attribute information based on the image pickup apparatus 301b, image information based on the image pickup apparatus 301c, and the like acquired by the system 303 may be collectively referred to as “image-related information”. ..
  • FIG. 4 as a precaution, a system according to another embodiment is illustrated and described.
  • the imaging device 401a and the advertisement providing device 402a can be connected to the system 403, the imaging device 401b and the advertisement providing device 402b can be connected to the system 403b, and the system 403b can be connected to the system 403.
  • the information processing device 104 may include a plurality of information processing devices, and the roles of the information processing devices of the system 403b and the system 403 may be various.
  • the system 403b is connectable to the advertisement providing apparatus 402b and the image capturing apparatus 401b, the image captured by the image capturing apparatus 401b in association with the information related to the advertisement provided by the advertisement providing apparatus 402b is described above.
  • the image-related information of various aspects of the system 403b may be transmitted to the system 403.
  • the system 403 acquires the image captured by the image pickup device 401a in association with the information related to the advertisement provided by the advertisement providing device 402a.
  • the system 403 may process the image based on the imaging device 401a and the information related to the image based on the imaging device 401b independently or may combine them appropriately and process them together.
  • the respective data when the respective data are combined, when the information indicating that the imaged places are the respective ones is added and distinguished, there is an advantage that the imaged information at each place can be reflected in the statistically processed data.
  • the advertisement providing device and the imaging device have been described in a one-to-one relationship, but a plurality of imaging devices are provided so that the one advertising influence position can be imaged for one advertisement providing device.
  • one image capturing device may be provided for a plurality of advertisement providing devices so that the plurality of advertisement influential positions can be captured.
  • it is sufficient that the information on the interest in the provided advertisement can be acquired in the image in which the person at the advertisement affected position is captured.
  • one advertisement providing device may provide one or more advertisements.
  • FIG. 5 is a block diagram showing a specific example of the functions that the system of one embodiment can have.
  • the system of an embodiment may have only some of these features.
  • the acquisition unit has a function of acquiring information.
  • the acquisition unit may have a function of acquiring image information.
  • Attribute information acquisition unit 22 The attribute information acquisition unit has a function of acquiring attribute information. Further, the attribute information acquisition unit may acquire the interest display information. In addition, the attribute information acquisition unit may generate attribute information, interest display information, and / or person prediction information.
  • the storage unit 33 has a function of storing information.
  • the storage unit may have a database having a plurality of data.
  • the statistical processing unit has a function of performing statistical processing.
  • the statistical processing unit may generate viewing information.
  • the statistical processing unit may generate statistical processing data including one or more viewing information.
  • Advertisement selection unit 25 The advertisement selection unit has a function of selecting an advertisement.
  • Contrast part 26 The comparison unit has a function of comparing viewing information.
  • Amount determination unit 27 The amount determining unit has a function of determining the amount.
  • Bidding department 28 The bid section has a function of bidding.
  • the system of one embodiment is An advertisement providing unit that provides the first advertisement, An image capturing unit that captures one or more people in a position that may be affected by the first advertisement; An image acquisition unit that acquires a first captured image captured by the image capturing unit; An attribute information acquisition unit that acquires attribute information from one or more people in the first captured image, The attribute information acquisition unit generates interest display information for one or more people who are interested in the first advertisement among one or more people in the first captured image.
  • a storage unit that stores the first advertisement, the attribute information about the one person, and the interest display information about the one person in association with each other in an attribute information database, It may be a system provided with.
  • the target to be attracted may be various things such as goods, services, and / or events (the target to be attracted may be referred to as "product, etc.” in the documents of the present application), and may be paid or free of charge.
  • ⁇ Advertising unit may have a function of providing advertisements.
  • the advertisement providing unit may be realized by the advertisement providing device.
  • the image capturing unit may have a function of capturing an image of one or more people at a position that may be affected by the advertisement.
  • a position that may be affected by an advertisement and that can be imaged may be referred to as an “advertisement affected position” in this document.
  • the imaging unit may be realized by an imaging device.
  • the position at which the image capturing unit is installed may be any position as long as it is a position at which one or more persons at the advertisement affected position are imaged.
  • the entire advertisement shooting may not be the range, but a part thereof may be the range.
  • the image captured by the image capturing unit may be a still image or a moving image.
  • the imaging unit faces the direction of the place where the advertisement is displayed or the direction where the recognized voice is generated, when the advertisement is displayed or when the place where the voice is generated can be recognized by humans. It may be configured to be able to image one or more persons in the affected position. As a result, there is an advantage that the behavior of one or a plurality of persons in the advertisement affected position with respect to the advertisement can be captured.
  • Attribute information acquisition unit may have a function of generating attribute information from an image.
  • attribute information refers to attribute information related to a person (sometimes referred to as “person attribute information” in this application document) and information related to a fashion item (“fashion item attribute information” in this application document). It may be a superordinate concept.
  • the human attribute information may be gender, age, age group, height, physique, facial expression, hairstyle, social status, income group, presence / absence of pets, and / or a persona described later.
  • fashion item attribute information may be fashion item type, fashion item type, fashion item color, fashion item pattern, fashion item processing, fashion item accessory, and / or fashion item length.
  • tops T-shirt/cut-sew, shirt, blouse, polo shirt, sweater/knit, vest, hoodie, sweatshirt, cardigan, tank top, camisole, bustier, vest
  • outerwear tailored
  • Jacket collarless jacket, denim jacket, riders jacket, blouson, down jacket, coat, trench coat, military jacket, down vest, knit coat, gown dress
  • pants denim pants, cargo pants, chinos, slacks
  • dress One piece, all-in-one
  • bag shoulderer bag, tote bag, backpack/backpack, Boston bag, body bag/waist pouch, handbag, clutch bag, suitcase/carry bag, basket bag
  • shoes sneakers, slip-ons, sandals, Pumps, boots, booties, dress shoes, ballet shoes/loafers, moccasins/deck shoes, rain shoes), hats (hats, beanies, hunting/berets, caskets), skirt
  • fashion item processing for example, it may be unprocessed, lace processing, pleated processing, chiffon processing, gather processing, fur processing, corderoy processing, etc.
  • a specific value such as white, black, or gray in the fashion item color a specific value such as a plain pattern, a border pattern, or a dot pattern in the fashion item pattern may be referred to as a fashion item attribute value. ..
  • the attribute information may be generated after applying machine learning from the image information. Further, before and/or after the application of machine learning, the attribute information may be generated by appropriately applying a predetermined rule. Further, one piece of attribute information may be generated using another piece of attribute information.
  • the income class may generate information about the income class by having a pet or wearing a fashion item related to an expensive brand.
  • a typical user image (sometimes referred to as “persona” in this document) of a product related to an advertisement may be generated from other attribute information. For example, if you are a male around 16 years old wearing a blazer, you are a high school boy, if you are a male wearing a gray jacket, about 30 years old, you are a salaried worker at work, if you are wearing a sweater, about 35 years old, It may be a private man, etc. Persona is a concept that is being used in marketing, and includes various things such as age, gender, whereabouts, work, life pattern, educational background, values, family structure, relationships, savings propensity, hobbies, Internet usage, etc.
  • the number of persona items related to the attribute information generated by one attribute information acquisition unit is the attribute generated by another attribute information acquisition unit. If the number of items is larger than the number of persona items related to information, there is an advantage that the user image becomes clearer and the accuracy of selection related to advertisement can be improved.
  • the storage unit may store one or a plurality of pieces of attribute information relating to one person acquired by the attribute information acquisition unit in the database in association with each other.
  • a database containing attribute information is sometimes called an "attribute information database".
  • the attribute information database may not include information related to advertisements, or may include information related to advertisements. As a case where the information related to the advertisement is not included, for example, when collecting information about people who pass through the advertising influence position in the state where the advertisement is not provided, or when the advertisement providing unit collects the attribute information collected at the stage of providing the advertisement, , And the case where it is used as a means for collecting information about people who pass through an advertisement affected position regardless of advertisement.
  • the storage unit stores the attribute information related to the one advertisement and the one person acquired by the attribute information acquisition unit in the database in association with the one advertisement and the attribute information related to the one person. You may
  • the attribute information acquisition unit acquires information relating to the presence or absence or degree of interest of the person in the advertisement (sometimes referred to as "interest display information" in the documents of the present application) for one advertisement and one person.
  • the interest display information may be two choices, that is, the person is interested in the advertisement or the person is not interested in the advertisement, or the degree to which the person is interested in the advertisement. It may be information indicating.
  • the information indicating the degree to which a person is interested in an advertisement may be configured so that one of a plurality of pieces of information indicating the degree of interest is selected.
  • a mode may be specified in which one of the options 1 to 100 is specified, in which the numerical value indicating a low interest state is 1, and the numerical value indicating a high interest state is 100.
  • the attribute information may be a superordinate concept of the interest display information, but the attribute information does not necessarily have to include the interest display information.
  • the interest display information may be stored as information for each action and subject to statistical processing.
  • the interest display information may be in a mode of acquiring the presence / absence and / or degree of information about each action such as turning the line of sight, turning the face, and pointing with a finger.
  • FIG. 6 is an example of interest display information including a plurality of actions of each action as an action indicating the person's interest in the advertisement for one advertisement and one person.
  • the attribute information acquisition unit can acquire the information of the person who was in the advertisement influence position regardless of whether or not he / she was interested in the advertisement by acquiring the attribute information from the image of the person who was in the advertisement influence position. There is. Further, when the attribute information about the person who is not interested in the advertisement is acquired, there is an advantage that the information that can be used as the person prediction information increases.
  • the attribute information acquisition department acquires the information of the person who is interested in the advertisement among the people who were in the position affected by the advertisement by acquiring the attribute information including the interest display information including the information showing the interest in the advertisement.
  • the interest display information may be determined based on various actions of a person using an image of the person.
  • the actions of a person for determining the interest display information include, for example, a person turning a face, directing a line of sight, pointing with a finger, showing an expression showing an interest, a change in walking speed, stopping, and walking to a target.
  • the route may be curved or a combination thereof may be mentioned.
  • the above-mentioned human behavior is not limited to the above-mentioned behavior, and is generally considered to be an behavior in which a person is interested in an advertisement, and can be determined by an image of the behavior. It may be one.
  • the fact that the face is turned may be determined, for example, from the relationship between the position in the advertisement influence position corresponding to the position of the person in the image, the position of the advertisement, and the direction of the person's face.
  • information related to the contour of the face may be used.
  • the information relating to the contour of the face for example, the contour of the jaw of the contour of the face, the position of the ear, the position of the eye, the position of the nose, the position of the corner of the mouth, and the like may be used.
  • information on either the right or left side of the face may be used. This is because the human face is bilaterally symmetric and can be estimated from only one piece of information.
  • the number of detection points is reduced, there is an advantage that the calculation amount can be reduced. Further, the determination may be made using a part of the face. This is because even if a part of the face is hidden or cannot be seen, it can be estimated by being able to detect the above-mentioned part of the chin, mouth corner, nose, eyes, ears, etc. in the other face part. In this case, a person who is facing sideways to the image pickup device, a person wearing a hat or mask, and a person who partially exceeds the image pickup range of the image pickup unit can be included in the judgment. There is an advantage that the number can be increased.
  • the position of the image capturing device and the position of the advertisement can be approximately the same, It may be determined whether or not the human face is facing the image pickup device direction in the captured image, and how much the face is tilted from the image pickup device direction when the person's face is not facing the image pickup device direction. It may also be determined using machine learning techniques. For example, it may be determined whether or not the line of sight is directed to the image using the relationship between the image and the direction of the line of sight.
  • Directing the line of sight may be determined, for example, from the relationship between the position in the advertising influence position corresponding to the position of the person in the image, the position of the advertisement, and the line of sight of the person.
  • the direction of the line of sight may be determined using the position of the eyes.
  • the position of the eye may be the position or area of the black eye within the white eye.
  • the indication with a finger may be determined, for example, from the relationship between the position in the advertisement influence position corresponding to the position of the person in the image, the position of the advertisement, and the direction of the person's finger.
  • the display direction and the image capturing direction of the advertisement are the same and the image capturing device is provided around the advertisement provided by the advertisement providing device
  • the position of the image capturing device and the position of the advertisement can be approximately the same
  • the determination may be made using machine learning technology. For example, it may be determined whether or not the finger is shown on the image by using the relationship between the image and the finger.
  • the facial expression that indicates interest may be determined by using the relationship between the facial expression that a person can take when showing interest and the degree of interest. Further, even if the facial expression showing interest is generated as the interest display information on the condition that any one of turning the face, turning the line of sight, and showing with the finger is determined. Good. Further, in this case, interest display information that indicates that the person is more interested than these alone may be generated. It may also be determined using machine learning techniques. For example, the relationship between the image and the facial expression indicating interest may be used to determine whether or not the face is turned to the image.
  • the change in walking speed may be determined, for example, by using the change in speed of moving the position within the advertisement affected position.
  • the change in walking speed is generated as interest display information on the condition that any one of turning the face, turning the line of sight, and pointing with a finger is determined, the change in walking speed is generated. Good.
  • interest display information that indicates that the person is more interested than these alone may be generated.
  • the determination may be made using machine learning technology. For example, the relationship between the image and the change in walking speed may be used to determine whether or not the change in walking speed has occurred and to what extent.
  • ⁇ Stopping may be determined by, for example, the presence or absence of movement of the person's position within the advertisement affected position. Further, the stop may be generated as the interest display information on the condition that any one of the face, the line of sight, and the finger is determined. Further, in this case, interest display information that indicates that the person is more interested than these alone may be generated. In addition, the determination may be made using machine learning technology. For example, the relationship between the image and the stop may be used to determine whether or not the image has stopped.
  • the change in the walking route may be judged by the presence or absence and the degree of deviation from the estimated moving direction of the person in the advertisement affected position.
  • the change in the walking path is used as the interest display information on condition that any one of facing the face, pointing the line of sight, and showing with a finger is determined. It may be generated. Further, in this case, interest display information that indicates that the person is more interested than these alone may be generated.
  • the determination may be made using machine learning technology. For example, the relationship between the image and the change in the walking path may be used to determine whether or not the change in the walking path has occurred in the image and to what extent.
  • the interest display information may be determined using the information regarding the number of times of the behavior of the above-mentioned person.
  • the line of sight may be turned twice or more, or the face may be turned to the advertisement twice or more.
  • the interest display information may be determined by using the above-mentioned information regarding the order of the person's actions. For example, look at, then face, then stop, then finger. If you just stop, you may stop for reasons other than your interest in advertising, but if you stop in combination with eye-gaze or face-turning behavior, you should consider increasing interest in advertising. it can.
  • the interest display information may be associated with the position in the advertisement provided by the advertisement providing device.
  • the attribute information acquisition unit may generate interest display information in association with the portion in the one advertisement.
  • the place may be, for example, a position such as upper right, lower right, or center in the advertisement, or may be specific content in the advertisement associated with the position.
  • the content may be a product or the like, an actor or character, an event in an advertisement, or the like.
  • interest display information may be generated in association with any of the plurality of advertisements or a portion in the advertisement of one of the plurality of advertisements. In this case, there is an advantage that information about one advertisement in a plurality of advertisements can be obtained.
  • artificial intelligence technologies may be used for machine learning.
  • the artificial intelligence technology for example, neural network, genetic programming, functional logic programming, support vector machine, clustering, regression, classification, Bayesian network, reinforcement learning, expression learning, decision tree, k-means method, etc. may be used. ..
  • the machine learning technology using the neural network may use the deep learning technology. This is a technology that enables output even for unknown inputs by learning the relationship between inputs and outputs using multiple layers. There are methods with and without a teacher, but either method may be applied. Note that the machine learning technique is not necessarily limited to the neural network, and various techniques described above may be used.
  • the attribute information acquisition unit determines, from the correspondence relationship between the time information of the advertisement provided by the advertisement providing unit and the image in which the person in the advertisement affected position relating to the advertisement is captured while the advertisement providing unit provides the image.
  • Interest display information and attribute information related to the advertisement may be acquired. For example, in an image in which a person in an advertisement affected position is captured while an advertisement is provided, each person is specified, attribute information is acquired for each person using artificial intelligence technology, and in each advertisement, the image Each person may be acquired and stored in association with the attribute information related to the person.
  • the same person ID may be given to the same person.
  • the person ID may be used so as not to do double calculation for the same person.
  • FIG. 7 is an example in which an ID indicating an advertisement, interest display information, and attribute information of a person related to the interest display information are stored in association with each other. It should be noted that other information such as the image ID and information on the time of the advertisement being provided may be included.
  • Information related to advertisements may include, for example, advertisement IDs, advertisement versions, advertisement providing locations, products related to advertisements, actors and characters appearing in advertisements, types of advertisements, purpose of advertisements, color tone of advertisements, and interest in advertisements.
  • Attribute information about a person who is supposed to be (sometimes referred to as “advertisement attribute information”), attribute information about an intended recipient of an advertisement product (also referred to as “product assumption attribute information”). Information).
  • the superordinate concept of the advertisement assumed attribute information and the product assumed attribute information may be referred to as “supposed attribute information”.
  • the information relating to the advertisement may exclude information that directly specifies the advertisement itself, such as an advertisement or an advertisement ID.
  • the advertisement version is information that identifies the version of the advertisement.
  • the advertisement may have a long version, a short version, a modified version, and the like, and may be information that specifies these.
  • the advertisement providing place may be a place where an advertisement is provided. For example, if the advertisement is provided by digital signage, it may be the place where the advertisement is provided.
  • the place may be, for example, a name in an administrative area such as Shibuya or Shinjuku, a specific address, or information indicating a more specific position in the building.
  • the product or the like related to the advertisement may be the product or the like provided by the advertisement. It may be the type of advertisement when the advertisement is classified.
  • FIG. 8 is an example in which information related to an advertisement, interest display information, and attribute information of a person related to the interest display information are stored in association with each other. Note that other information may be included. By storing these in association with each other, there is an advantage that information about what kind of advertisement and how people are interested can be obtained.
  • the information related to each advertisement such as the advertisement version, the place where the advertisement is provided, the product related to the advertisement, the actors and characters appearing in the advertisement, the type of advertisement, the purpose of the advertisement, and / or the assumed attribute information, etc.
  • the advertisement attribute information database may be adopted as the advertisement attribute information database, and one or more databases may be configured.
  • the advertisement attribute information database when a relational database is adopted as the advertisement attribute information database, the information related to each advertisement may be associated with each other by a separately provided ID.
  • the ID provided separately may be a candidate key or a superkey.
  • the attribute information acquisition unit may acquire temporal information related to interest display information.
  • temporal information related to interest display information.
  • temporal information of a person's interest in the advertisement can be obtained.
  • various events such as appearance of a character, occurrence of an incident, music playing, and sound may occur. In these events, there is an advantage that information of a time point or a time period when a person has an interest can be acquired.
  • the time information may be a time point or a fixed time.
  • the time point or the fixed time may be time information, elapsed time, or the like.
  • the elapsed time may be the elapsed time from the start time of one advertisement, or may be the elapsed time within the time obtained by one company as the advertisement time. In any case, it may be any time information regarding an advertisement in which a person is interested in the time zone in which the advertisement is displayed.
  • the advertisement having a certain display time may be an advertisement including a temporal element or an advertisement not including a temporal element.
  • An advertisement including a temporal element includes, for example, a moving picture advertisement.
  • the advertisement of a video includes an advertisement with a story, an advertisement in which a character in the advertisement operates, an advertisement in which a new character appears in the advertisement, an advertisement in which an event occurs in the advertisement, and the like.
  • an advertisement that does not include a temporal element there is a still image advertisement. Even if it is a still image, by acquiring temporal information such as the order in which you were interested in multiple places in the advertisement, how long you were interested in the still image or part of it , There is an advantage that more interest display information can be obtained.
  • the attribute information acquisition unit is based on the relationship between the time information of the advertisement provided by the advertisement providing unit and the image of the person at the advertisement affected position related to the advertisement taken while the advertisement providing unit is providing.
  • the time information related to the interest display information may be acquired. For example, for an image captured while the advertisement is being provided, the relationship between the advertisement and the time information related to the interest display information is based on the correspondence between the time of the advertisement provision time and the time of the image being captured. May get.
  • the storage unit may store one advertisement, interest display information, time information related to interest display information, and attribute information in association with each other.
  • FIG. 9 is an example in which an advertisement, a person, interest display information about the person, temporal information about the interest display information, and attribute information about the person are stored in association with each other.
  • information about the degree of interest in the interest display information may be generated using the temporal information.
  • information about the degree of interest may be generated so that the degree of interest is high.
  • the temporal information has an advantage that it can be used as information for estimating the degree of interest of a person.
  • the advertisement providing unit provides an advertisement (1001).
  • the image capturing device captures an image of the person at the advertisement affected position (1002).
  • the attribute information acquisition unit acquires one or more types of attribute information for one or more persons in the captured image (1003).
  • Information relating to the advertisement, the person in the image, and the attribute information for the person are stored in association with each other (1004).
  • the system of one embodiment may include a statistical processing unit.
  • the statistical processing unit has a function of performing statistical processing.
  • the statistical processing unit may perform statistical processing using the attribute information database.
  • the information obtained by performing the statistical processing by the statistical processing unit may be stored as statistical processing data.
  • the statistically processed data may include one or more viewing information detailed below.
  • the statistical processing unit may generate viewing information for the advertisement for one or more attribute information associated with the advertisement.
  • the value regarding either the person who showed interest or the person who does not show interest is sometimes referred to as "viewing value”.
  • a value regarding a person who may have an interest (that is, a person who is in the advertisement influence position captured by the image capturing apparatus) may be referred to as a “viewing parameter”.
  • a relative value indicating a relationship between a person who is interested and a person who is not interested may be referred to as an "audience rating”.
  • the superordinate concept of the viewing value and the audience rating may be "interested viewing information”
  • the superordinate concept of the interested viewing information and the viewing population value may be "viewing information”.
  • the viewing information Since the viewing information is generated, there is an advantage that information of a person who can be influenced by the advertisement can be acquired with a concrete and simple numerical value, and there is an advantage that information that serves as a reference in providing the advertisement can be efficiently collected. Since the interest viewing information uses the interest display information, there is an advantage that the interest viewing information can be used as the information reflecting the information about the interest of people in the advertisement. Especially when interest viewing information about a specific advertisement is generated, there is an advantage that the effect of such an advertisement can be measured. On the other hand, since the audience parameter can be generated without using the interest indicating information, a specific advertisement may be provided, but there is an advantage that it can be generated from information about people imaged by the imaging device in the state where the specific advertisement is not provided. ..
  • the viewing value may be a value aggregated for the number of people who are interested in one advertisement, a value aggregated for the number of people who are not interested in the one advertisement, or the one advertisement. It may be a value obtained by aggregating the number of persons having a certain degree of interest or more.
  • the number of people who are interested in the advertisement may be calculated by the number of people who include the interest display information that is interested in the advertisement.
  • the number of people having a certain degree of interest in the advertisement may be calculated by the number of people having a degree of high interest in the interest display information that is equal to or more than a predetermined value.
  • the audience value may be information relating to a person who has shown an interest in the advertisement.
  • the information related to the person who has shown an interest in the advertisement may be, for example, a time when the person shows an interest in the advertisement, a numerical value when the degree of the interest shown to the advertisement is digitized, and the like. Further, these times and numerical values may be the times and numerical values of the total of those who have shown interest in the advertisement, respectively.
  • a time when the person shows an interest in the advertisement
  • a numerical value when the degree of the interest shown to the advertisement is digitized, and the like.
  • these times and numerical values may be the times and numerical values of the total of those who have shown interest in the advertisement, respectively.
  • the viewing value in terms of time may be, for example, the total time during which a person determined to be interested in one advertisement is interested in the one advertisement, or for one advertisement. It may be a numerical value obtained by multiplying the number of people determined to be interested by the advertisement providing time.
  • the former has an advantage that a person who shows each interest can precisely acquire the total time of actually showing the interest as information.
  • the latter has the advantage of being able to calculate at least that he/she showed an interest in the provision of advertisements, although he did not consider the time at which he or she specifically showed the interest.
  • a plurality of advertisements may be generated in the same manner. In this case, there is an advantage that information regarding a plurality of advertisements can be acquired.
  • the audience parameter value may be information relating to the person in the advertisement affected position captured by the image capturing device, regardless of the provision of the advertisement.
  • the information related to the person in the advertising influence position may be, for example, the number of people in the advertisement influence position, the total time of each person in the advertisement influence position, and the like.
  • the audience rating is the information related to the person who is interested in the one advertisement among the persons in the advertisement affected position related to the one advertisement, with the information related to the person in the advertisement affected position related to the one advertisement as a denominator. May be calculated as a numerator.
  • the audience rating may be displayed as a percentage, a percentage, or the like.
  • the information about the person in the advertisement affected position related to the one advertisement may be the total of the information about the person. For example, the number of such persons, the total time that the person was in the advertisement affected position, or the maximum number per person when quantifying the degree of interest in the advertisement and the number obtained by multiplying the number of such persons, etc.
  • the information related to the person who is interested in one advertisement may be the corresponding information related to the person who is interested in the advertisement among the above-mentioned parameters.
  • the audience value may be generated with respect to time, as in the case of an advertisement business in which the audience value is provided in units of time.
  • the denominator may be a numerical value obtained by multiplying the number of people in the advertisement affected position for one advertisement by the provision time of the one advertisement, and the numerator determines that the one advertisement showed interest. It may be a numerical value obtained by multiplying the number of people who have been served by the time when the advertisement is provided. Also, the denominator is a value obtained by multiplying the number of persons in the advertisement affected position for each provided advertisement by the provision time of each advertisement, and summing the value, and the numerator showed interest in each provided advertisement.
  • It may be a value obtained by multiplying each determined number of people and the provision time of each advertisement and totaling them. Further, instead of the advertisement providing time in the numerator, the time when it is determined that each person who is actually interested in the advertisement is interested in the advertisement may be used.
  • the audience rating is the number of people.
  • An interest that includes content that is interested in the advertisement among the 100 people such as when there are 30 people who are interested in the advertisement, such as facing the face, matching the line of sight, or pointing to the advertisement.
  • a value of 30% may be the audience rating.
  • the viewing information may be generated for people who have one or more specific attribute information among people in the advertisement affected position. In this case, there is an advantage that information regarding people having one or more attribute information can be collected for the advertisement.
  • the viewing information may be generated for a specific advertisement provided once or a plurality of times.
  • information relating to a specific one-time or multiple times can be collected.
  • advertisements are often costed using the time of the advertisements provided, so information about how interesting people are to a particular advertisement time, one or more times, is provided. Collecting has the advantage of being able to collect information that considers the cost-effectiveness of advertising.
  • viewing information may be generated for advertisements provided at one or more specific locations.
  • information can be collected at one or more specific locations.
  • viewing information may be generated for a specific period of time. In this case, there is an advantage that information regarding a specific period can be collected.
  • a specific period it may be aggregated at a predetermined time of day, may be aggregated for each day of the week, may be aggregated for weekdays and holidays, or may be divided into the first half, the middle stage and the second half of the month. May be totaled, or may be totaled separately for each season such as spring, summer, autumn, winter, and may be totaled for seasonal vacation such as summer vacation, Christmas vacation, and the beginning of the year.
  • it may be generated in a specific time zone of the day as a specific period. For example, on weekdays, morning commuting hours, evening quitting hours, etc. may be mentioned. In this case, there is an advantage that information of people at the time of commuting can be collected. In addition, on weekdays, it may be lunchtime during the daytime. In this case, there is an advantage that information on people can be collected during lunch time.
  • the viewing information related to a specific period may be averaged in various units such as minutes, hours, days, days of the week, weekdays/holidays, months, etc., or may be totaled.
  • viewing information may be generated for a specific plurality of advertisements.
  • the viewing information can be collected over a plurality of advertisements.
  • the viewing information may be generated for a plurality of advertisements having a specific relationship. For example, multiple ads in one or more variations of the ad, multiple ads in a particular version, such as a short or long version of one or more ads, or in one or more specific locations. It may be a plurality of advertisements installed in a specific one or a plurality of types of advertisements. In this case, there is an advantage that viewing information can be collected for a plurality of advertisements having information related to a specific one or a plurality of advertisements.
  • the viewing information may be generated by using all of the attribute information based on the image acquired from the image pickup device, or may be generated by using a part of the attribute information based on the image acquired from the image pickup device.
  • the viewing information may include the above-mentioned people having one or more specific attribute information, one advertisement provided one or more specific times, advertisement provided in one or more specific places, or specific advertisement. It may be generated using the information collected by limiting the advertisement to the period, the specific advertisements, or the advertisements having the specific relationship. In this case, there is an advantage that viewing information about each limited item can be acquired.
  • the viewing information may include the above-mentioned people who have one or more specific attribute information, one advertisement that is provided once or a plurality of times, an advertisement that is provided at one or more specific locations, and a certain advertisement. It may be generated for a period-related advertisement, a specific plurality of advertisements, a plurality of advertisements having a specific relationship, and a part or a combination thereof. In this case, there is an advantage that the viewing information in each combined viewpoint can be generated, and there is an advantage that various information can be acquired from various information relating to the advertisement and the people.
  • the statistical processing unit as information serving as a basis for generating the viewing information, the above-mentioned people having one or more specific attribute information, one specific advertisement provided once or multiple times, Or a combination of some or all of advertisements provided at specific places, advertisements related to a specific period, specific advertisements, and advertisements having a specific relationship.
  • the user of the system has an advantage that the information that is the basis for generating the viewing information can be selected according to the purpose.
  • the statistical processing unit may have a function of acquiring the selected information described above. When acquiring such information, the statistical processing unit may generate the viewing information in accordance with the information. With the function of generating the viewing information based on the selected information, there is an advantage that the viewing information suitable for the purpose can be generated.
  • the statistical processing unit uses a plurality of specific attribute information regarding gender attribute information, age group attribute information, and fashion item color. Viewing information may be generated.
  • FIG. 11 shows the total number of people with and without interest in one advertisement, attribute information of the gender of the person related to the one advertisement, and attribute information of the age group of the person related to the one advertisement. This is an example of generating a numerical value.
  • “interested” and “not interested” may be based on the interest display information.
  • the statistical processing unit aggregates the attribute information using the fashion item attribute information
  • the fashion item attribute information indicates a certain tendency with respect to a person's fashion sense and taste.
  • the statistical processing unit aggregates both the fashion item attribute information and the person attribute as attribute information, there is an advantage that it is possible to organize the relevance in consideration of fashion sense and taste on the basis of the person attribute. In addition, there is an advantage that it is possible to provide a subject for considering marketing for a product or the like by using these relationships.
  • the statistical processing unit when the statistical processing unit generates the viewing information using both the information related to the advertisement and the above-mentioned fashion item attribute information, there is an advantage that the relationship in consideration of fashion sense and taste can be organized as information. In addition, there is an advantage that it is possible to provide a subject for considering marketing for a product or the like by using these relationships.
  • viewing information may be generated for each layer of attribute information.
  • the viewing information may be generated for men and/or women as long as it is attribute information about gender. If it is attribute information about age, viewing information for each age group such as teens, 20s, 30s, etc. may be generated, and as a more specific group, 21 years old, 22 years old, 23 years old, etc. Viewing information may be generated for each age.
  • viewing information may be generated for each fashion item color, viewing information may be generated for each fashion item type, presence / absence of a bag, presence / absence of a hat, etc. Viewing information may be generated for.
  • Statistic processing unit may group the attribute information into a predetermined range and perform the above-mentioned aggregation.
  • the grouping in a predetermined range may be, for example, a group of 20 to 25 years old, a group of 26 to 30 years old, and the like.
  • the grouping of the predetermined range may be a grouping of one or more pieces of information.
  • it may be a group of men and a group of women, and as for fashion item attributes, if it is a fashion item color attribute, it may be a yellow group, a blue group, a black group, etc., and a fashion item.
  • It may be an outer group, a bottom group, etc., or a group of shirts, blouses and polo shirts, a group of denim pants, a group of shoulder bags, etc., as long as they are type attributes. ..
  • the statistical processing unit may generate various rankings regarding viewing information.
  • the statistical processing unit may be a ranking of viewing information about one or more specific attribute information, a ranking of viewing information about a plurality of advertisements, or a ranking of viewing information about information about one or more advertisements, etc.
  • the viewing information ranking for the specific one or more attribute information may be the viewing information ranking for the specific one or more attribute information such as sex, age group, fashion item type, fashion item color, etc.
  • the target may be for one or more advertisements, or the information related to the advertisement may be limited at the stage of generating viewing information.
  • the viewing information about a plurality of attribute information is, for example, a plurality of attribute information such as fashion item color and gender, blue/male, red/male, black/male, blue/female, red/female, black/female It may be viewing information about a combination of, and the like, or it may be each viewing information of each attribute information of blue, red, and black and each viewing information of each attribute information of men and women.
  • the former combination may be all combinations or some combinations. In the former case, there is an advantage that information on all combinations can be acquired, and in the latter case, there is an advantage that some information can be noticed instead of all complicated combinations. Further, such a configuration has an advantage that ranking can be generated from the viewpoint of attribute information, and various analyzes can be performed.
  • the ranking of the viewing information about the information related to one or more advertisements is the version related to the advertisement, the product related to the advertisement, the color tone related to the advertisement, the installation location, the actor/character in the advertisement, or a combination thereof.
  • the ranking may be limited to a specific one or a plurality of attribute information at the stage of generating viewing information. With such a configuration, it is possible to generate a ranking from the viewpoint of information related to the advertisement, and there is an advantage that various analyzes can be performed.
  • the fashion item colors related to the person who showed interest may be generated as a ranking in descending order of the aggregated result of interest for one advertisement.
  • the audience information is the audience rating
  • a numerical value when limited to specific attribute information in the denominator and the numerator may be generated and used as a ranking. ..
  • the ranking may be in ascending or descending numerical order. In this case, there is an advantage that the relationship between the attribute information and the viewing information can be organized for one advertisement.
  • FIG. 12 is an example in which the ranking of attribute information is generated in descending order of the number of people who are interested in one advertisement.
  • the rankings are generated in descending order of the number of persons for the total number of persons who satisfy each attribute information (for example, male and 40s).
  • attribute information for example, male and 40s.
  • the statistical processing unit may generate a ranking regarding the place of installation of the advertisement or a ranking regarding the type of advertisement, as an example using the information regarding the advertisement.
  • the statistical processing unit may generate a ranking for viewing information for a plurality of advertisements. In this case, there is an advantage that a plurality of advertisements and viewing information can be organized.
  • the statistical processing unit may generate a ranking of viewing information for a plurality of advertisements and a plurality of attribute information.
  • the plurality of pieces of attribute information may be information of various layers. For example, it may be a hierarchy such as tops and bottoms as the fashion item type, or a lower hierarchy such as a shirt and a trench coat in the tops within the fashion item type.
  • Information of various layers may be included in the ranking with the layers recognized as the same as the target of comparison, or may be included in the ranking with the layers recognized as different as the target of comparison.
  • the target of ranking may be exclusive or may be duplicated.
  • the plurality of advertisements described above may be related to one company or may be related to a plurality of companies.
  • the plurality of advertisements relating to one company may be advertisements involving one company. For example, an advertisement created by the one company, an advertisement funded by the one company, and the like can be mentioned.
  • the one company has an advantage that it can collect information about an advertisement that people are interested in or an advertisement that people with specific attribute information are interested in among a plurality of advertisements.
  • multiple advertisements may target advertisements related to multiple companies. Advertising regarding a plurality of companies is the same as when the above-mentioned one company becomes a plurality of companies.
  • an advertisement in which people are interested in advertisements related to a plurality of companies, or a specific advertisement for a person who provides a place for providing an advertisement or a person who selects an advertisement from a plurality of advertisements.
  • information about advertisements in which people who have attribute information are interested can be collected.
  • the statistical processing unit may generate the advertisement assumed attribute information associated with the advertisement and/or the assumed attribute information such as a product associated with the advertisement in association with the statistically processed data.
  • the assumed advertisement attribute information and/or estimated attribute information such as a product, which is related to the advertisement, and the statistically processed data actually collected as a reaction of people when the advertisement is used are used in association with each other. There is an advantage that can be.
  • the statistical processing unit may display the information of the attribute information related to one advertisement and the assumed advertisement attribute information and/or the estimated attribute information such as a product in association with each other.
  • the advertisement ID 003 is an advertisement regarding a car and the advertisement assumed attribute information is male and in their 30s
  • information about males and in their 30s may be displayed in association with each other.
  • Various methods may be used as the mode of display associated with each other. For example, in this figure, the male and thirties are included as the third place in the ranking, and thus such a portion may be displayed in a mode different from other attribute information.
  • a font, a style, an underline, a color, a size, a character decoration, an arrangement, etc. regarding a numerical value or a character format
  • the fields and backgrounds related to the numerical values or the attribute information may have different fills, patterns, and the like.
  • the statistical processing unit provides a selection of one or more specific attribute information, information regarding one or more specific advertisements, and/or information generated as viewing information, which is used to generate the ranking. It may have a function of acquiring the selected information.
  • the user of the system has an advantage that the information used for generating the ranking can be selected according to the purpose.
  • the statistical processing unit may generate a ranking according to the information.
  • the function of generating a ranking based on the selected information has an advantage that a ranking can be generated according to the purpose.
  • the statistical processing unit generated the method of generating statistical processing data by using the attribute information database, but the statistical processing data may be generated without using the attribute information database.
  • the statistical processing unit may generate statistical processing data for each piece of information by using a variable that can be updated each time the information is acquired.
  • a variable is sometimes called an accumulator in the information processing industry
  • the contents of the statistical processing data may be updated directly without temporarily recording it in the attribute information database or the like.
  • the attribute information acquisition unit acquires the advertisement, the interest display information, and the attribute information
  • the statistical processing unit associates the advertisement and the attribute information with each other, and the value of the variable at the corresponding position in the statistical processing data. May be updated by 1.
  • Statistically processed data generated by the statistical processing unit may be graphed in various ways.
  • Various techniques may be used for graphing, such as a bar graph, a line graph, a pie graph, a band graph, a histograph, a radar chart, and a scatter chart.
  • FIG. 13 is an example of a line graph.
  • the number of passers 1301 indicates how much the vertical axis is at each time on the horizontal axis by a numerical value obtained by multiplying the time by the number of people.
  • the reason for multiplying not only the number of people here but also the detected time is that some people pass by quickly and some pass slowly, and even the same person, This is because it varies from person to person.
  • the audience rating 1302 is an example in which the audience rating is displayed for each of a plurality of specific attribute information including attribute information of sex and attribute information of age group for each advertisement 1 to 10.
  • the genders are male and female, and the age groups are divided into 35 and under and 35 and over.
  • the audience rating is the sum of the numerator (the time when a person is interested, and the person who is interested) with respect to the denominator (a value obtained by summing the detected time of each person for each detected person). Value). Also, an Average may be generated and displayed. Also, different colors may be generated and displayed according to the audience rating.
  • the statistical processing unit may perform statistical processing using the attribute information database every predetermined period to update the statistical processing data.
  • the statistical processing unit has an advantage of being able to generate highly reliable statistical processing data based on a larger number of pieces of information by using a large number of newly collected attribute information.
  • the statistical processing unit acquires the type of information for which viewing information is generated from the attribute information database (1401).
  • the types of information for which the viewing information is generated include, for example, one or more specific attribute information, information regarding a specific advertisement, and the like.
  • the statistical processing unit acquires information related to viewing information to be generated (1402).
  • the information related to the viewing information may be, for example, the number of people or a numerical value, the sum or the average, or the like.
  • the statistical processing unit acquires information regarding the ranking target (1403).
  • the information regarding the ranking target may be, for example, information regarding what is the ranking.
  • the statistical processing unit generates viewing information by using the target information of the viewing information and the information related to the viewing information (1404).
  • the statistical processing unit generates a ranking using the viewing information and the information regarding the ranking target (1405).
  • viewing information may be generated after the information for generating the viewing information has been collected, and ranking after the information for generating the ranking has been acquired. May be generated.
  • Embodiment 3 The system of one embodiment may include an advertisement selection unit, and the advertisement selection unit may have a function of selecting an advertisement using the person prediction information.
  • the advertisement is often in a form having a certain duration, and even if there are people at the advertisement influence position, it is not always possible to switch the advertisement immediately.
  • the person prediction information may be attribute information possessed by a certain number or more of the persons expected to come to the advertisement influence position.
  • the person prediction information may be generated using attribute information in an image obtained by capturing the person at the advertisement affected position within a predetermined period.
  • the person prediction information may be average attribute information of people who have come to an advertisement affected position within a predetermined time before selecting an advertisement. This is based on the idea that the tendency of people to come to the advertising influence position does not differ significantly if there is a small time difference. For example, in a downtown city building, even if the people walking in the downtown city area have different tendencies between the weekday morning 9 o'clock morning time and the holiday daytime hours, the weekday morning 9 o'clock morning time It is considered that the tendency of people walking in the downtown building street is similar in the time zone of 10 o'clock morning on weekdays.
  • the predetermined time before selecting an advertisement is, for example, 5 minutes before 5 minutes, 10 minutes before 10 minutes, 5 minutes after 10 minutes, 10 minutes before 10 minutes before selecting an advertisement. It may be minutes, 30 minutes from 30 minutes, 1 hour from 1 hour, and so on.
  • the predetermined period may be the same time period on weekdays, the same time period on the same week, or the like.
  • the former may use, for example, an average of attribute information in the same time zone of the previous day, an average of attribute information in the same time zone of a weekday in a predetermined period, or the like.
  • an average of attribute information in the same time period of the previous week, an average of attribute information in the same time period of the same week in a predetermined period, or the like may be used.
  • a period during which a person having similar attribute information may come may be used as the predetermined period.
  • the person prediction information it is possible to use the attribute information in the image captured before the person who comes to the advertisement affected position comes to the position.
  • a method of capturing an image before reaching the position for example, when an advertisement is installed at a place having a passage, another place that leads to the place can be cited.
  • a person who walks in one direction a person who goes through one place basically goes through another position in the underpass, so a person who goes through one place
  • a person passing through another place can be predicted by using the attribute information of the person in the captured image.
  • the person prediction information may be based on the average of attribute information held by a plurality of people. Multiple people can pass during the time the advertisement is presented, so matching the average attributes of multiple people has the advantage of increasing the number and degree of people who are interested in the advertisement. .. For example, at 9 o'clock in the morning on weekdays, the person prediction information in the underpass of the city center building may be attribute information in which the fashion item type is suit and the fashion item color is gray.
  • the advertisement selection unit may select the advertisement to be provided based on the person prediction information and the statistical processing data.
  • FIG. 17 is an example of the person prediction information.
  • a plurality of specific attribute information is represented by using a union set and an intersection set, but various methods may be used.
  • the information may be any information generated as the attribute information.
  • the advertisement selection unit may select an advertisement from one or more advertisements by using the statistically processed data relating to the one or more advertisements and the person prediction information.
  • the advertisement selecting unit selects an advertisement associated with attribute information having a predetermined relationship with the attribute information in the person prediction information by using the statistically processed data related to the one or more advertisements from among the one or more advertisements.
  • You may choose.
  • the fact that one attribute information and another attribute information have a predetermined relationship may be the same or similar relationship. , Inclusive relations, or a combination thereof.
  • the strength of the attribute information relationship may be the strength of the degree of similarity or the strength of the degree of inclusion of the inclusion relationship.
  • the same or similar relationship and inclusion relationship may be determined by various methods. Since one or a plurality of pieces of attribute information can be expressed by, for example, a logical expression, these may be determined using a technique of determining the presence or absence of a relationship between logical expressions and the degree of the relationship.
  • the purpose of selecting an advertisement associated with attribute information having a predetermined attribute information relationship with the attribute information in the person prediction information is that the higher the relationship between the attribute information related to the person prediction information and the attribute information related to the statistical processing data, the higher the relationship. It has the advantage of increasing the possibility of providing effective advertisements to those who are in the position of influence of advertisements.
  • the advertisement selection unit has a high degree of interest indicated by people in the above-mentioned viewing information among the advertisements associated with the attribute information having a predetermined relationship with the attribute information in the person prediction information in the statistical processing data. You may choose an ad. In this case, generally, there is an advantage that an advertisement having a high degree of interest of people can be selected.
  • the advertisement selection unit may select an advertisement having a high audience rating, which will be described later, from the advertisements associated with the attribute information that is the same as or similar to the attribute information in the person prediction information in the statistical processing data.
  • the advertisement since the advertisement has a high audience rating, there is an advantage that the company relating to the advertisement can use the advertisement more efficiently when paying the advertisement usage fee in the same time zone.
  • the advertisement selection unit may select an advertisement by using the updated statistical processing data. This has the advantage of being able to select better ads based on more reliable and updated statistically processed data.
  • the advertisement providing unit may provide the advertisement selected based on the updated statistical processing data. In this case, there is an advantage that it is possible to provide an advertisement that may be of interest to a large number of people based on a larger amount of attribute information.
  • the advertisement selection unit may select an advertisement related to the same or similar attribute information as the advertisement assumed attribute information in the advertisement attribute information database. In this case, there is an advantage that an advertisement for a person related to attribute information assumed by the advertisement can be selected.
  • the advertisement providing unit may provide an advertisement related to the same or similar attribute information as the assumed advertisement attribute information in the advertisement attribute information database. In this case, there is an advantage that the advertisement can be actually provided to the person related to the attribute information assumed by the advertisement.
  • the advertisement selection unit may randomly select from a plurality of advertisements.
  • the image acquisition unit captures an image of a person at an advertisement affected position when there is an advertisement (step 1).
  • the attribute information acquisition unit generates attribute information from the captured image (step 2).
  • the attribute information acquisition unit generates person prediction information from the attribute information (step 3).
  • the advertisement selection unit selects an advertisement from the person prediction information and the attribute information database provided in advance (step 4).
  • the advertisement providing unit provides the selected advertisement (step 5).
  • the advertisement providing unit may provide the advertisement when acquiring the image.
  • the attribute information acquisition unit may acquire the interest display information.
  • Embodiment 4 The system of an embodiment may include a contrast unit.
  • the comparison unit may have a function of comparing a plurality of viewing information.
  • the manner of comparison may vary.
  • the viewing information of the comparison target may be generated or displayed.
  • the ratio of two viewing information to the plurality of viewing information may be generated, or the ratio of the two viewing information may be displayed.
  • the system of one embodiment uses an audience rating (also referred to as “random audience rating” in this document) based on an advertisement randomly provided from among a plurality of advertisements, human prediction information, and assumed attribute information. Audience rate based on advertisements provided (sometimes referred to as “expected audience rate”) and audience rate based on advertisements provided using human prediction information and statistical processing data (sometimes referred to as "improved audience rate”) And a comparing section for comparing Further, the comparing unit may generate a random audience rating, an assumed audience rating, and an improved audience rating. Further, the comparing unit may generate a random audience rating, an assumed audience rating, and an improved audience rating, and transmit the random audience rating, the assumed audience rating, and the improved audience rating to the information processing apparatus so that they can be displayed on the information processing apparatus. Further, the comparison unit may display a random audience rating, an assumed audience rating, and an improved audience rating on the information processing device.
  • the improved audience rating may depend on the degree of information in the statistically processed data.
  • the degree of information may depend on the type of attribute information and the amount of type of attribute information in the attribute information database, or may depend on the amount of people in the image underlying the attribute information database.
  • the former type of attribute information may be, for example, gender, age group, fashion item type, fashion item color, fashion item accessory, fashion item dress length, and the like.
  • one improved audience rating uses attribute information based on gender and fashion item type from within the attribute information database. Relationship with the person prediction information, while other improved audience ratings use attribute information based on gender, age group, fashion item color, and fashion item accessory from within the attribute information database.
  • the advertisement is not limited to these and may be advertisement in various industries. For example, even today, consumer products such as mobile phones are provided with various advertisements so that they can be appealed to by gender, age group, and lifestyle. It has the advantage of increasing the likelihood that you will be able to choose according to individual people.
  • statistical processing data based on the attribute information collected in a specific period may be used.
  • the statistically processed data based on the attribute information collected in a specific period has an advantage that information related to an old period is not targeted.
  • FIG. 18 is an example showing a random audience rate, an assumed audience rating, and an improved audience rating generated and compared by the comparison unit for one specific advertisement. It is set to 30%, 40%, and 80%, respectively. Since the assumed audience rating is provided to the person assumed to be the advertisement by using the person forecast information, it indicates that the audience rating is improved as compared with the random audience rating. In addition, the improved audience rating uses attribute information including interest display information and information on the reaction of actual people to select advertisements, so that more people are expected than the expected attribute information. It has been shown that they are interested in advertisements and have an improved audience rating.
  • the assumed audience rating/random audience rating is a ratio between the random audience rating and the assumed audience rating, and is an example showing that the audience rating is improved by about 1.3 times the random audience rating.
  • the assumed audience rating/improved audience rating is a ratio of the assumed audience rating and the improved audience rating, and is an example showing that the improved audience rating is twice as high as the assumed audience rating.
  • the improved audience rating/random audience rating is a ratio of the random audience rating and the improved audience rating, and is an example showing that the improved audience rating is improved by about 2.67 times the random audience rating.
  • the comparison unit that compares a plurality of audience ratings has the advantage of being able to understand changes in a plurality of audience ratings.
  • the advertisement providing unit displays a randomly selected advertisement (step 1). While the advertisement is being displayed, the image acquisition unit captures a person at the position affected by the advertisement (step 2).
  • the attribute information acquisition unit generates attribute information including interest display information from the captured image and stores it in the attribute information database (step 3).
  • the statistical processing unit generates viewing information from the attribute information database (step 4).
  • the advertisement selection unit selects an advertisement using the person prediction information and the assumed attribute information (step 5).
  • the advertisement providing unit provides the selected advertisement (step 6).
  • a person at the position affected by the advertisement of the advertisement is imaged (step 7).
  • the attribute information acquisition unit generates attribute information including interest display information from the captured image and stores it in the attribute information database (step 8).
  • the statistical processing section generates viewing information from the attribute information database (step 9).
  • the advertisement selection unit selects an advertisement using the person prediction information and the attribute information database (step 10).
  • the advertisement providing unit provides the selected advertisement (step 11).
  • the attribute information acquisition unit generates attribute information including interest display information from the captured image and stores it in the attribute information database (step 13).
  • the statistical processing section generates viewing information from the attribute information database (step 14).
  • an example in which a random advertisement is displayed, an advertisement selected using the assumed attribute information, and an advertisement selected using the improvement attribute information are sequentially displayed and then compared with each other
  • the example using the comparison unit is not limited to the above.
  • the order of the above three displays can be changed as appropriate, and two displays may be used instead of the three displays, or four or more displays may be used. In the case of four or more, the above three formats may be repeated, or other assumed attribute information or other improvement attribute information may be used.
  • the improvement attribute information may be changed according to the attribute information used, as described above.
  • a system uses an audience rating based on an advertisement that is randomly provided, an audience rating based on an advertisement that is provided by using person prediction information and advertisement assumed attribute information, and person prediction information and statistical processing data.
  • a comparison unit may be provided that compares the audience rating based on the advertisement provided by the user.
  • the system of one embodiment is The audience rating generator Generate a first audience rating for the first image being displayed by the first advertisement, Generate a second audience rating for the second image being displayed by the second advertisement, The contrasting part The first audience rating and the second audience rating may be compared.
  • the system of one embodiment is An advertisement providing unit that provides the first advertisement, An imaging unit that photographs one or more people at the position affected by the advertisement for the first advertisement, and An image acquisition unit that acquires a first captured image captured by the image capturing unit; Attribute information from one or more people in the first captured image, and interest display for one or more people who are interested in the first advertisement among one or more people in the first captured image.
  • An attribute information acquisition unit that acquires information, A storage unit that stores the first advertisement, attribute information related to one person, and interest display information related to the one person in an attribute information database in association with each other.
  • a statistical processing unit for generating statistical processing data
  • An audience rating generation unit that generates one or more audience ratings using the statistically processed data;
  • a comparison unit for comparing the one or more audience ratings, It may be a system provided with.
  • the system of one embodiment is an imaging part which picturizes one or a plurality of persons in an advertising influence position about the 1st advertisement, the image acquisition part, the attribute information acquisition part, the storage part, and the statistical processing part. And the audience rating generation unit and the comparison unit.
  • a system is an image acquisition unit that acquires a first captured image related to a first advertisement, the attribute information acquisition unit, the storage unit, the statistical processing unit, the audience rating generation unit, and And a comparison unit.
  • the system of one embodiment may be a system including a storage unit for storing an attribute information database, the statistical processing unit, the audience rating generation unit, and the comparison unit.
  • the system of one embodiment may be a system including a statistical processing unit that generates statistical processing data based on an attribute information database, the audience rating generation unit, and the comparison unit.
  • the system of one embodiment may be a system including an audience rating generation unit that generates one or a plurality of audience ratings using statistical processing data, and the comparison unit.
  • the system may be a system including a recording and comparing unit that compares one or a plurality of audience ratings generated by the audience rating generating unit.
  • the system of one embodiment is An acquisition unit that acquires a first captured image in which a plurality of persons in the advertisement affected position related to the first advertisement are captured; An attribute information generation unit that generates attribute information for a plurality of people in the first captured image, both for those who show interest in the first advertisement and for those who do not.
  • a storage unit that associates the first advertisement with the attribute information and stores it in a database. It may be a system provided with. In this case, the system of the present embodiment has an advantage that not only the person who is interested in the advertisement but also the information related to the person who is not interested in the advertisement can be organized.
  • the system of one embodiment is In the situation where the advertisement is not provided, the advertisement influence position is based on the attribute information related to the plurality of people in the first captured image in which the multiple people in the advertisement influence position are imaged in a specific period when the advertisement is installed. And a generation unit that generates person prediction information including attribute information in the specific period, It may be a system provided with. In this case, the system of the present embodiment has an advantage that the person prediction information based on the attribute information related to the person at the advertisement influence position can be generated even if the advertisement is not installed.
  • the system of one embodiment is From the attribute information related to a plurality of people in the first captured image obtained by capturing a plurality of people in the advertisement influence position related to the first advertisement in a specific period, the advertisement influence position related to the first advertisement and the specific period , A generation unit that generates person prediction information including attribute information, It may be a system provided with. In this case, the system of the present embodiment has an advantage of being able to generate person prediction information while acquiring attribute information in the situation where the first advertisement is provided.
  • the system of one embodiment is From the attribute information related to a plurality of people in the first captured image obtained by capturing a plurality of people in the advertisement influence position related to the first advertisement in a specific period, the advertisement influence position related to the first advertisement and the specific period And a generation unit that generates person prediction information including attribute information,
  • An attribute information acquisition unit that acquires attribute information including interest display information from attribute information relating to a plurality of people in the first captured image. It may be a system provided with. In this case, the system of the present embodiment acquires the attribute information including the interest display information in the situation where the first advertisement is provided, acquires the information about the person who is in the advertisement influence position related to the first advertisement, and There is an advantage that the person prediction information can be generated.
  • the system of one embodiment is A statistical processing unit that generates, for the first advertisement, first statistical information using the first database that includes attribute information about a plurality of people who are interested.
  • the above-described system may be provided.
  • the system of one embodiment is A selection unit for selecting a second advertisement to be displayed using the first database;
  • the above-described system may be provided.
  • the system of one embodiment is The acquisition unit acquires a second captured image captured while the selected second advertisement is displayed,
  • the generation unit generates attribute information about a person who is interested in the second advertisement in the second captured image.
  • the storage unit stores the second advertisement being displayed in the second database in association with attribute information about a person who has shown an interest in the advertisement in the second captured image. It may be the system described above.
  • the system of one embodiment is The first advertisement is a randomly selected advertisement.
  • the statistical processing unit generates statistical information using the second database, It may be the system described above.
  • Embodiment 5 The system of one embodiment may provide, so to speak, a platform for advertising.
  • the platform represents the meaning that stands between one or more advertising location providers and one or more advertising providers. It should be noted that such a platform may manage all the information between the advertisement provider system and the advertisement place system, or may not manage all the information between the advertisement provider system and the advertisement place system. Even the platform does not exclude the situation where information is directly exchanged between the advertisement provider system and the advertisement location system.
  • the system of one embodiment may provide various aspects of information, such as providing initial information exchange and providing information as needed.
  • the system that can be connected to the advertisement place system has an advantage that the information in the place where the advertisement is provided can be organized and provided as useful information when the advertisement provider makes a decision about the advertisement.
  • FIG. 19 is a diagram showing a platform according to the system of one embodiment.
  • This figure shows a system (1900) according to an embodiment of the present invention, an advertisement place system P1 (1901), P2 (1902), P3 (1903), and an advertisement provider system A1 (1904), A2 (1905).
  • A3 (1906) is shown.
  • the system of one embodiment of the present invention may be simply referred to as a system. These may be connectable by a telecommunication line as shown in the figure.
  • the Internet and the like may be appropriately interposed between the system and the advertisement provider system, and between the system and the advertisement place system, or may be connected by a shared cable, a dedicated cable, or the like. It is sufficient that the system can exchange information with the advertisement provider system and the advertisement place system.
  • the advertisement place providing system may include one or a plurality of advertisement providing apparatuses and one or a plurality of image capturing apparatuses that capture the advertisement affected positions of the one or more advertisement providing apparatuses.
  • the information processing device as the advertisement place providing system may not be included (for example, the imaging devices 201a, 201b, and 401a in FIG. 2 and FIG.
  • the advertisement providing devices 202a, 202b, 402a) and the configuration including the information processing device as the advertisement place providing system for example, the systems 303a, 303b, 303c, 403b in FIG. 3) may be used.
  • the advertisement place providing system is a generic term for the advertisement providing device and the image pickup device for picking up an image of the advertisement affected position of the advertisement providing device
  • the advertisement place providing system is the advertisement providing device. It may be a generic term of an image pickup device that picks up an image of an advertisement affected position related to the advertisement providing device, and one or a plurality of information processing devices that can directly or indirectly transmit information to them.
  • the advertisement place providing system has an influence of an advertisement provided by each of the plurality of advertisement providing devices by an imaging device that images one of the advertisement affecting positions of the plurality of advertisement providing devices with respect to the plurality of advertisement providing devices.
  • the information may be acquired.
  • the calculation can be simplified by using the information obtained by the image pickup device that captures the above one as a representative of the information of the advertisement influence position of the advertisement providing device related to the periphery thereof.
  • the plurality of advertisement providing apparatuses are respectively provided with one or a plurality of image capturing apparatuses that capture an image of a part of each advertisement affected position related to the plurality of advertisement providing apparatuses. It may be configured to acquire information on the influence of the advertisement provided.
  • the information obtained by one or a plurality of image capturing devices that captures the part is used as a substitute for the information of the advertisement-affected position of the advertisement providing device related to the periphery of the plurality of advertisement providing devices.
  • the calculation can be simplified as compared with the case of using the information obtained by capturing images of all the advertisement influence positions with a plurality of image capturing devices.
  • the system of one embodiment obtains from the advertisement place providing system the information in the form illustrated in FIG. 2 to FIG. 4 or the information obtained from the imaging device and the advertisement providing device without being limited thereto. Good.
  • the information obtained from the advertising place providing system and used to generate the statistical processing data in the system of one embodiment may be referred to as "information related to the statistical processing data".
  • the information related to the statistically processed data may be the statistically processed data itself or image information for generating the statistically processed data.
  • the advertisement place providing system when the advertisement place providing system generates the statistically processed data, when the advertisement place providing system includes an advertisement providing device that provides a plurality of advertisements, the statistically processed data that distinguishes the plurality of advertisements may be generated.
  • Statistical processing data that distinguishes the plurality of advertisements may be generated by generating attribute information in association with each advertisement.
  • the system of one embodiment may use information acquired from the advertisement place providing system to generate statistical processing data about a place related to the advertisement place providing system. For example, when the system of one embodiment acquires image information or attribute information from the advertisement place providing system, the statistical processing unit in the system of one embodiment may generate statistical processing data. When the system of the embodiment acquires the statistically processed data from the advertising place providing system, the statistical processing unit in the system of one embodiment uses the statistical process data as it is or the statistically processed data provided from another advertising place providing system. Processing such as composition with may be performed.
  • the owner or administrator of the advertisement place providing system may be the owner or administrator of the system, or may be the owner or administrator of the system, or the owner or administrator of the system. , Land owners, building owners, building renters, etc., or may include summaries for these persons.
  • the installation place may be a commercial facility, a station, or the like, but is not limited thereto and may be any place where an advertisement can be installed.
  • the statistical processing unit of the system in one embodiment according to the present invention uses the information acquired from the advertisement location providing system to generate, integrate or use the information as it is to generate statistical processing data at the advertisement providing location, It may be provided to the advertisement provider system.
  • the advertisement provider system is a system used by the person providing the advertisement.
  • the person who provides the advertisement (also referred to as “advertiser” in this document) may be an advertiser, an advertising company, a media rep, a person who pays an advertising fee, or a person who creates an advertisement.
  • the advertisement provider system may include an information processing device that is a source of transmitting a target advertisement to the system, which will be described later.
  • the advertisement provider system may include an information processing device that is a destination of statistical processing data including information about a place where a target advertisement is provided.
  • the information processing device related to the advertising location system may be a workstation, desktop computer, laptop computer, laptop computer, PDA, mobile phone, smartphone, etc., respectively.
  • the advertisement provider system may be a workstation, desktop computer, laptop computer, laptop computer, PDA, mobile phone, smartphone, etc., respectively.
  • the system may sometimes call the information related to one advertising location system to the advertising provider system an "advertising location report".
  • the advertisement place report related to the one advertisement place system is information to be described later regarding the image acquired in the one advertisement place system and/or viewing generated from the information related to the image obtained in the one advertisement place system. Information may be included.
  • FIG. 23 is a diagram showing the relationship between the system and the whole in another embodiment.
  • the system 2301 according to an embodiment and an advertiser 2302a, an advertising company 2302b, and a media rep 2302c, which are examples of an advertisement provider system, can be connected.
  • the system 2301 includes a major communication carrier 2303a and a facility company 2303b, which are examples of the advertisement place system, and may be directly or indirectly connectable to these.
  • the major telecommunications carriers play the role of telecommunications carriers in addition to taking charge of sales and negotiations regarding the provision of advertising places to each facility company on behalf of the person related to the system.
  • the system and the advertisement place system are indirectly connectable, and the system indirectly obtains the information related to the image from the advertisement place system (for example, a facility company). is there.
  • the system advertisement provider system in one embodiment of the platform may have a function of acquiring statistical processing data provided by the system and presenting the statistical processing data.
  • FIG. 20 is an example of the statistical processing data displayed by the advertisement provider system to the advertisement provider.
  • This figure is an example of displaying viewing information for one or more attribute information in different places P1 to P3. A combination of gender and age group is used as the attribute information.
  • the total viewing time is displayed as viewing information.
  • the ad provider should provide the ad to be displayed, for example, because it is possible to understand where the total average viewing time of a person with specific attribute information is high.
  • the place there is an advantage that information for selecting a place where an advertisement should be provided to people having attribute information that they want to see can be obtained.
  • the information of the total viewing time can be used as a reference for how much attention a person having one attribute information pays attention to when the advertisement is provided at each place.
  • the configuration of such a system is such that, for example, there are many people related to business in the business district around Tokyo Station, and there are many people who visit privately such as families and couples in commercial facilities such as Odaiba.
  • the background is the idea that there is a relationship between the place where people exist and the attributes they possess. By further subdividing and deepening this idea, for example, it is based on the idea that there is a potential relationship between attribute information related to fashion items and places, and that they are also related to audience viewing information.
  • Statistically processed data may also include rankings of advertising places in the order of viewing information height.
  • the statistical processing unit of the system of one embodiment may include the ranking of the advertisement place in the order of the height of the viewing information.
  • FIG. 22 is another example of the statistical processing data generated by the statistical processing unit of the system of one embodiment, transmitted to the advertisement provider system, and displayed on the advertisement provider system.
  • the place and each information are displayed in descending order of viewing information). More specifically, the places of publication are displayed in descending order of the total number of browses (2201 to 2205), and the total number of browses at each place is displayed as a specific numerical value (2206).
  • the number of viewers belonging to is displayed in a pie chart (2207), the viewers are classified by attribute information, and the total viewing time of the number of viewers belonging to each attribute information is displayed in a pie chart (2208), which is displayed on the time axis.
  • the increase/decrease in the number of viewers is displayed as a browsing history (2209).
  • the ranking has the advantage that viewing information can be ranked and acquired when there are many places where it can be posted.
  • the viewing information in which the people are highly interested may be displayed in the ascending order.
  • the information as a place of high value to provide the advertisement can be obtained, and the viewing information in the order of low viewing information to which the people are not interested is displayed.
  • information can be obtained as a place where the value of providing an advertisement is low.
  • the above-mentioned ranking is an example in the order of the height of the viewing information of each place, but it may be further embodied to generate a ranking for a predetermined time zone, or for each one or more specific attribute information.
  • the ranking may be generated, or the combination may be used to generate the ranking.
  • Ranking in a predetermined time zone has the advantage of being able to understand the movement of people in such a predetermined time zone. For example, in business districts, people's movements are highly likely to be different from other time zones, such as the time zone that includes morning work, the time zone that includes lunch in the afternoon, and the time zone that includes leaving work in the evening. , There is an advantage that it is possible to consider the provision of advertisements based on the information of such people's movements.
  • the rankings are continuously generated for each time period, such as from 7:00 to 9:00, 9:00 to 11:00, 11:00 to 13:00, 13:00 to 15:00, 15:00 to 17:00, 17:00 to 19:00.
  • the advertisement provider has an advantage that it is possible to consider whether to provide the advertisement as an advertisement frame in consideration of these time zones.
  • the system may be configured to be able to acquire one or more attribute information of the statistical processing data to be displayed from the advertisement provider system.
  • the advertisement provider system receives a configuration for receiving one or more attribute information of the displayed statistical processing data input by the advertisement provider, and the received one or more attribute information in the system. It may have a function of transmitting.
  • the system may use the information to generate the statistical processing data to be displayed.
  • the system of one embodiment may propose a place to serve an advertisement using the information relating to the advertisement acquired from the advertisement provider system.
  • the system of one embodiment may acquire information of various aspects regarding advertisements and images from the advertisement place system by the same configuration as described above, and based on such information, the advertisement provider system may be notified. You may suggest where to serve the advertisement.
  • the system of one embodiment may obtain information related to an advertisement (in some cases referred to as “targeted advertisement” in this document) provided by the advertisement provider from the advertisement provider system.
  • the information related to the advertisement to be provided (may be referred to as “information related to the targeted advertisement” in this document) is, for example, the targeted advertisement itself, information indicating the targeted advertisement, or one or more assumed attributes related to the targeted advertisement.
  • Information, information related to the advertisement of the target advertisement, the advertisement providing place considered by the advertisement provider, and the like may be acquired.
  • the advertisement providing place considered by the advertisement provider may be, for example, an advertisement providing place considered as a candidate by the advertisement provider, and may be a place where a target advertisement is provided on a trial basis, which will be described later.
  • the system according to the embodiment may generate information suitable for the advertisement using the information when the information related to the target advertisement is acquired. For example, when the system of one embodiment acquires one or more assumed attribute information of the target advertisement, a person having attribute information having a predetermined attribute information relationship with the assumed attribute information related to the target advertisement is set at the advertisement influence position. You may notify the location of the advertisement provided.
  • FIG. 21 is a diagram schematically showing information obtained from the advertisement provider system and information obtained from the advertisement place system. In this figure, it is assumed that the system of this example has acquired attribute information that the male and fashion item colors are navy blue from the advertisement provider system 2104.
  • the system may obtain the information related to the image from each advertisement place system from the advertisement place systems 2101 to 2103.
  • the system 2100 obtains information about images from the advertisement place systems P1 to P3, and the system 2100 generates tables of viewing information (2101a to 2103a) based on the information about each image.
  • the attribute information is four for men and fashion item colors are navy blue, men and fashion item colors are not navy, women and fashion item colors are navy, and women and fashion item colors are not navy.
  • Viewing information based on the people imaged by the imaging device associated with the advertising influence position according to each advertising place system is generated and stored for a predetermined period.
  • the flow of information to obtain information from the advertisement location system after obtaining information from the advertisement provider system has been described.
  • the system of this example may be configured to acquire the information related to the image from the advertisement place providing system at any time, or the system of this example may acquire the information related to the target advertisement from the advertisement provider system.
  • the system of the present example requests the information related to the image from the advertisement provider system, and in response to this, the advertisement place providing system transmits the information related to the image to the system of the present example.
  • the system may acquire such information.
  • the information related to the image obtained in the advertisement place system may be the information acquired by using another advertisement. In this case, there is an advantage that information obtained by other advertisements can be easily used.
  • the information related to the image obtained in the advertisement place system may be for the display that abstractly receives the attention of people such as an eye catcher.
  • viewing information for a display that attracts people's attention abstractly may be for the display that abstractly receives the attention of people such as an eye catcher.
  • the information related to the image obtained in the advertisement place system may be obtained by using the assumed attribute information related to the target advertisement and the advertisement having a predetermined attribute information relationship.
  • the advertisement since the advertisement is considered to be related to the target advertisement in terms of the assumed attribute relationship, there is an advantage that there is a high possibility that viewing information similar to the case where the target advertisement is used can be obtained.
  • the information regarding the image obtained in the advertisement place system may use the information regarding the image regarding another advertisement that uses the same or similar information as the color tone of the advertisement regarding the target advertisement or the information about the performer.
  • the system may provide the target advertisement acquired from the advertisement provider on a trial basis in one or more advertisement place providing devices, and acquire the information related to the image about the advertisement.
  • the information related to the image related to the target advertisement can be acquired, there is an advantage that the information of the degree of interest that people show in the target advertisement can be acquired.
  • the system of one embodiment may use information related to the targeted advertisement to specify a place to provide the targeted advertisement, which should be proposed. Such identified locations may be transmitted and communicated to the ad provider system for the targeted advertisement.
  • the system may use information acquired from the advertisement providing system 2104 to identify the advertisement place to be proposed from the advertisement place systems 2101 to 2103.
  • the assumed attribute information as the information related to the target advertisement is that the male and the fashion item color is navy blue, and the viewing information is high for the attribute information that the male and fashion item color is navy blue. Since the longest viewing time is 272 hours in the advertisement place system 2101a, the system transmits the place related to the advertisement place system 2101 to the advertisement provider system 2104 as the advertisement place to be proposed and conveys it. You can do it.
  • the system of an embodiment may specify, in a ranking format, a place to provide the target advertisement, which should be proposed, by using information related to the target advertisement.
  • the identified ranking information may be transmitted and communicated to the advertisement provider system related to the targeted advertisement.
  • the assumed attribute information as the information related to the target advertisement is that where the male and the fashion item color is navy blue, the viewing information is high regarding the attribute information where the male and the fashion item color is navy blue.
  • the advertisement place system P1 (272 hours), the advertisement place system P2 (181 hours), and the advertisement place system P1 (157 hours) are listed in this order. Therefore, the system may transmit the advertisement location system and the corresponding total viewing time to the advertisement provider system A1 as viewing information corresponding to the information indicating the location and the information indicating the location.
  • the system may include an advertisement providing location in which a person having attribute information having a predetermined attribute information relationship with one or more assumed attribute information of the advertisement, an attribute having the predetermined attribute information relationship. Notify the advertisement providing place where the number of people who have information is detected is a predetermined number or more, or the ranking of the advertisement providing place about the number of people who have attribute information having such a predetermined attribute information relationship is detected. You may In this case, the number of people may be large or small.
  • the system of one embodiment is An acquisition unit that acquires information related to images acquired from one or more advertisement place systems; A generation unit that generates an advertisement location report using the information related to the image and the information related to the target advertisement. May be a system having
  • the generation unit may further generate the advertisement location report using the information related to the target advertisement.
  • the information regarding the targeted advertisement may be obtained from the advertisement provider system or may be stored in advance in the high system.
  • the latter may be, for example, the case where the information related to the advertisement is used for the same, similar or related advertisement, such as the case where the information related to the advertisement is acquired from the advertisement provider system last time. In this case, there is an advantage that it is not troublesome to newly acquire information related to the advertisement from the advertisement provider.
  • the system of one embodiment has been described by way of an example in which an advertisement place report based on information related to an image acquired from the advertisement place system is transmitted to the advertisement provider system;
  • the system may transmit the advertisement location report to the system terminal 1907 of the system of one embodiment and may be configured to be displayed on the system terminal 1907.
  • the terminal according to the system of an embodiment may be configured to display the above-mentioned advertisement location report.
  • the system of one embodiment may include an amount determination unit having a function of determining an amount.
  • the system including the money amount determination unit may be connectable to another information processing apparatus, for example, as described in the fifth embodiment.
  • the amount determination unit may determine the amount of the advertising space by using various information.
  • the amount determination unit may refer to viewing information, information related to images, advertisement locations, and / or advertisement provision time zones (in the documents of the present application, elements used to determine these amounts, "amount determination elements”. May be used to determine the amount of money.
  • the amount determining unit may determine the amount of money in association with the viewing information.
  • the viewing information is information indicating how interested people are in the advertisement. That is, the case where the viewing information is high means that the presentation value of the advertisement is high. Therefore, the inventors considered that the amount of money for the advertising space is determined in association with the viewing information.
  • the amount determining unit may determine the amount in proportion to the value of the viewing information. For example, if the value of one viewing information is 30 and the amount of money is 100,000 yen, if the value of other viewing information is 60, the amount of money may be 200,000 yen.
  • the value of the viewing information is proportional to the amount of money, if the viewing information is, for example, the viewing rate of people or the total viewing time of people, the amount of advertisement presented as a value proportional to the rate or the total time. There is an advantage that can be decided.
  • the amount determination unit may determine using a predetermined relationship, although it is not proportional to the value of the viewing information.
  • the money amount determination unit may have a rule that preliminarily defines the relationship between the numerical value related to the viewing information and the money amount, and the money amount may be determined from the viewing information using such a rule.
  • the amount determination unit may determine the amount in relation to the information related to the image.
  • the information related to the image acquired from the advertisement location system is information that can generate what kind of attribute information a person has, and is information of people who are in the advertising influence position of the provided advertisement. This is information that can determine the possibility of showing interest in. Therefore, the inventors considered to determine the amount of the advertising space in relation to the information related to the image.
  • the monetary amount determination unit may determine the monetary amount, for example, using attribute information as the information related to the image. Since the attribute information is the information of the person at the advertisement providing place, there is an advantage that the amount can be determined in consideration of such information.
  • the amount may be changed and determined depending on the attribute information of the person related to the image acquired from the one advertisement providing place system, the assumed attribute information related to the target advertisement, and the presence or absence of a predetermined attribute information relationship. .. In this case, there is an advantage that the amount of money can be determined by reflecting the presence or absence of a predetermined attribute information relationship.
  • the amount determination unit may determine the amount in relation to the degree of attribute information relation. For example, the monetary amount determination unit determines that the attribute information relationship between the attribute information of the person related to the image acquired from the one advertisement providing place system and the attribute information related to the target advertisement corresponds to the image acquired from the other advertisement providing place system.
  • the provision of the target advertisement in the one advertisement providing place, the provision of the target advertisement in the other advertisement providing place You can set a higher price. With such a configuration, there is an advantage that the amount can be determined based on the information of the person for each advertisement providing place.
  • the attribute information of one advertisement providing place is a man in his 30s or more, and the attribute information of another advertisement providing place is in his 40s or more.
  • the amount of money of the one advertisement providing place may be higher than that of the other advertisement providing place.
  • the monetary amount determination unit may determine the monetary amount in association with the advertisement place.
  • the advertisement location is information that can determine the possibility of being interested in the advertisement, because people at the advertisement influence position of the provided advertisement may be different depending on the advertisement location. Therefore, the inventors have considered determining the amount of money for the advertisement space in relation to the advertisement place.
  • the monetary amount deciding unit may decide the monetary amount in association with the advertisement providing time zone. Since the people in the advertisement affected position of the provided advertisement may be different depending on the advertisement providing time zone, the advertisement providing time zone is information that can determine the possibility of showing an interest in the advertisement. Therefore, the inventors considered to determine the amount of the ad space in relation to the ad serving time zone.
  • the amount determination unit may transmit the determined amount to one or more advertisement provider systems, and the one or more advertisement provider systems may display such amount.
  • the display of the amount of money has an advantage that the advertisement provider can understand the amount of money of the advertising space.
  • the monetary amount determination unit transmits the determined monetary amount together with information regarding the advertisement frame of the monetary amount to one or a plurality of advertisement provider systems, and the one or a plurality of advertisement provider systems, the monetary amount and the advertisement.
  • Information related to the frame may be displayed in association with each other.
  • the information related to the advertisement space may be an advertisement location, a time zone of the advertisement provided, a date and time of the advertisement provided, and/or contents related to the advertisement location report. Since the amount of money is displayed in association with the information related to the advertising space, the advertisement provider has an advantage that the amount of money can be understood in association with the information related to the advertising space.
  • the content related to the advertisement location report may be limited to the portion related to the time zone of the provided advertisement.
  • the advertisement provider can provide the value of the money.
  • the amount determining unit may perform the same processing for a plurality of advertisement frames as well as the above-mentioned one advertisement frame.
  • the monetary amount determination unit associates information relating to one or a plurality of advertisement frames with each monetary amount determined for the one or a plurality of advertisement frames, and transmits the information to one or more advertisement provider systems,
  • One or more advertisement provider systems may display the one or more advertisement frames and the respective amounts of money determined for the one or more advertisement frames in association with each other.
  • the amount determined by the amount determination unit based on the amount determination factor may be a part of the amount of the advertising space. For example, when there is an amount A that is a predetermined base for one or a plurality of advertisement frames, and the amount determined by the amount determining unit based on the amount determining element is B, the total amount of these A and B is The amount of money for the one or more advertisement frames may be used.
  • the amount deciding unit acquires the amount deciding element directly or indirectly from the advertisement place system as needed (2401).
  • the amount determination unit determines the amount using the amount determination element (2402).
  • the monetary amount deciding unit directly or indirectly transmits the monetary amount to the advertisement provider system together with information regarding the advertisement space, if necessary (2403).
  • the ad provider system displays the amount of money and, if necessary, information about the inventory (2404).
  • the monetary amount deciding unit may decide the amount of money by using the level of interest of people. For example, when the amount determination unit can predict a change in the degree of interest of people to one product or the like, the amount of the advertisement related to the one product or the like is the amount of the advertisement related to the other product or the like. You may set different amounts. For example, when it can be predicted that people's interest in one product or the like will be high, the amount determination unit sets the amount of the advertisement for the one product or the like to be higher than the amount of advertisement for the other product or the like. You may. When the interest of the people is high, the value of providing the advertisement is high, so that there is an advantage that the value of the advertisement can be appropriately reflected in the price. In addition, when it can be predicted that people's interest in one product or the like is low, the amount of advertisement for the one product or the like may be set lower than the amount of advertisement for the other product or the like.
  • the amount determination unit may determine the degree of interest of people by using the amount determination factor.
  • the amount-determining factor for determining the level of interest of people may be, for example, a social incident, a topic on the Internet, etc. In this case, information is acquired via the Internet. You may Social incidents and those that are talked about on the Internet may be identified by those that are ranked high in the news and those that are ranked high in the search word, such social incidents, the Internet.
  • the price determination unit may set the amount of money higher than that of advertisements related to other products, etc., for advertisements related to those that are talked about above, or for advertisements related to products, etc. that are highly related to these. It should be noted that, from a social event or a topic on the Internet, an advertisement related to such an event may be specified by using a predetermined rule or artificial intelligence technology.
  • the system of one embodiment is not limited to a flow in which the advertisement provider determines whether to perform an advertisement after determining and displaying the amount of money for the advertisement space, and for example, a certain amount of time is set between the advertisement provider and the advertisement provider.
  • the amount determining unit may determine the amount of money as a means of determining the amount of money under the contract of providing the advertisement to the advertisement space.
  • the viewing information related to the advertisement actually provided by the advertisement provider may be used as the amount determining element. That is, in this case, the amount determination unit may determine the amount using the viewing information related to the provided advertisement.
  • the monetary amount determination unit may use other monetary amount determining elements, and may determine the amount of money by using an actually measured value instead of a predicted value as information indicating the high level of interest of the above-mentioned people.
  • the system of one embodiment is An acquisition unit that acquires information related to images acquired from one or more advertising location systems, A determination unit that determines the amount of money using the information related to the image; A transmitter for transmitting the determined amount to the advertisement provider system, It may be a system provided with.
  • Embodiment 7 The system of an embodiment may include a bid section with bidding capabilities.
  • the system including the bidding unit may be connectable to other information processing devices, for example, as described in the fifth embodiment.
  • the bid section has a function of bidding on the advertising space.
  • the bidding department may acquire the amount of money for the ad space from a plurality of ad providing systems, and set the ad space for one ad providing system that presents the highest amount.
  • the bid section may transmit information regarding the bid of the advertisement to a plurality of advertisement provider systems, and the plurality of advertisement provider systems may display the information regarding the bid.
  • the information related to the bid for the advertisement may be a bid method, a period for bid invitation, and/or information related to the target advertising space.
  • the information related to the advertising space may be, for example, the place where the advertisement is scheduled to be provided, the amount of the past advertising space at the place, the advertisement place report related to the place, and the like.
  • the advertisement place report related to the place may be viewing information related to the advertisement place system or information related to an image related to the advertisement place system. This information has an advantage that the advertisement provider can refer to the determination of the bid amount.
  • the advertisement provider can determine the attribute information by considering the strength of the relationship with the assumed attribute information of the target advertisement.
  • the advertisement provider can make a decision such as setting a high bid amount because the value is high as it is.
  • the minimum price of the bid amount may be included as the information related to the bid.
  • the minimum bid amount may be a predetermined amount set by a person or a system-calculated amount.
  • the amount determined by the amount determination unit may be used as an example of the amount calculated by the system. In this case, the amount calculated by the system in relation to the advertisement space is the lowest price, and the advertisement is guaranteed to be higher than the price, so the system user can avoid being determined by the bid.
  • the bid information may further include the method of calculating the minimum amount.
  • the advertisement provider system displays the method of calculating the minimum amount of money as the information related to the bid, the advertisement provider knows information that serves as a reference to understand how the minimum amount of bid is calculated. There is an advantage that can be.
  • the advertisement provider determines the bid amount for the advertisement frame and inputs it to the advertisement provider system in a predetermined period by referring to the various information displayed above, and the advertisement provider system associates with the advertisement frame. And send the bid amount to the system.
  • the system determines the highest amount of money (sometimes referred to as the "successful bid amount") of the respective amounts of money acquired from one or more advertisement provider systems during a predetermined period, and the advertisement provider who provided such amount (The winning bid amount is transmitted to the advertising provider system according to (sometimes referred to as the "successful bidder") for the advertising space.
  • the advertisement provider system relating to the winning bidder may display the advertising space and the winning bid amount.
  • the bidding unit directly or indirectly transmits information related to an advertisement bid to a plurality of advertisement provider systems (2501).
  • the advertisement provider system displays the information related to the bid (2502).
  • the advertisement provider system associates the entered bid amount with the advertisement space and transmits the bid amount directly or indirectly to the system (2503).
  • the bid section determines the winning bid amount (2504).
  • the bid section directly or indirectly transmits the winning bid amount and, if necessary, the information regarding the advertising space to the advertisement provider system relating to the winning bidder (2505).
  • the advertisement provider system related to the winning bidder displays the advertisement space and the winning bid amount (2506).
  • the system of one embodiment is A transmitter that sends bid information to multiple ad provider systems, An acquisition unit that receives one or more amounts of money acquired corresponding to the information relating to the bid, A determining unit that determines one of the acquired one or a plurality of amounts, It may be a system provided with.
  • the invention examples described in the embodiments of the present application document are not limited to those described in the present application document and can be applied to various examples within the scope of the technical idea thereof.
  • the information presented on the screen of the information processing device can be displayed on the screen of the other information processing device, so that the information can be transmitted to the other information processing device.
  • the system may be configured.
  • the processes and procedures described in the documents of the present application may be feasible not only by those explicitly described in the embodiments but also by software, hardware or a combination thereof. Further, the processes and procedures described in this document may be implemented by various computers by implementing the processes and procedures as a computer program. Further, these computer programs may be stored in a storage medium. Moreover, these programs may be stored in a non-transitory or temporary storage medium.

Abstract

[Problem] To utilize information from a person in a position potentially subject to an advertisement. [Solution] Provided is a system comprising a viewer rate generating unit which generates a viewer rate, and a comparison unit which compares viewer rates. The viewer rate generating unit generates a first viewer rate relating to a first image in which a first advertisement is being displayed, and a second viewer rate relating to a second image in which a second advertisement is being displayed. The comparison unit compares the first viewer rate and the second viewer rate. In the system, the second advertisement is selected on the basis of attribute information. Further, in the system, the viewer rate generating unit uses interest display information based on facial contour.　

Description

情報処理システム、情報処理装置、サーバ装置、プログラム、又は方法Information processing system, information processing device, server device, program, or method
　本出願において開示された技術は、情報処理システム、情報処理装置、サーバ装置、プログラム、又は方法に関する。 The technology disclosed in this application relates to an information processing system, an information processing device, a server device, a program, or a method.
　広告は潜在的顧客に対して製品やサービスなどをアピールする重要なマーケティング資料である。そのため広告に係る技術もいくつか提案されている。 Advertising is an important marketing material that appeals products and services to potential customers. Therefore, some technologies related to advertising have been proposed.
特開２０１８－２８７２９号公報JP, 2018-287729, A 特開２０１７－１５６５１４号公報JP, 2017-156514, A
　しかしながら、上述の公知技術においても、広告の意義がどの程度であるか適切に情報を取得できるとは限らない。そこで、本発明の様々な実施形態は、上記の課題を解決するために、情報処理システム、情報処理装置、サーバ装置、プログラム、又は方法を提供する。 However, even with the above-described publicly known technology, it is not always possible to appropriately acquire information about the significance of advertisement. Therefore, various embodiments of the present invention provide an information processing system, an information processing device, a server device, a program, or a method in order to solve the above problems.
　本願発明の一実施形態の第１のシステムは、
　視聴情報を生成する視聴情報生成部を備えるシステムであって、
　前記視聴情報生成部は、
　　第１広告に基づく一又は複数の第１画像に係る第１視聴情報と 、
　　属性情報に基づいて選択された第２広告に基づく一又は複数の第２画像に係る第２視聴情報と、
　を生成するシステム。 A first system according to an embodiment of the present invention is
A system including a viewing information generation unit that generates viewing information,
The viewing information generation unit,
First viewing information about one or more first images based on the first advertisement;
Second viewing information related to one or more second images based on the second advertisement selected based on the attribute information, and
A system to generate.
　本願発明の一実施形態の第２のシステムは、
　前記第１視聴情報と、前記第２視聴情報と、の関係を示す情報を生成する対比部を備える、
第１のシステム。 The second system of one embodiment of the present invention is
And a comparison unit that generates information indicating a relationship between the first viewing information and the second viewing information.
First system.
　本願発明の一実施形態の第３のシステムは、
　前記視聴情報生成部は、顔の輪郭に基づく 興味表示情報を用いる、
第１又は２のいずれかのシステム。 A third system according to an embodiment of the present invention is
The viewing information generation unit uses the interest display information based on the contour of the face,
Either the first or the second system.
　本願発明の一実施形態の第４のシステムは、
　前記第１広告は、ランダムに選択され、
　前記第２広告は、人予測情報に基づいて、選択された、
第１乃至３のいずれかのシステム。 A fourth system according to an embodiment of the present invention is
The first advertisement is randomly selected,
The second advertisement is selected based on the person prediction information,
The system according to any one of the first to third.
　本願発明の一実施形態の第５のシステムは、
　前記第２広告は、想定属性情報に基づいて選択された、
第１乃至４のいずれかのシステム。 A fifth system according to an embodiment of the present invention is
The second advertisement is selected based on assumed attribute information,
The system according to any one of the first to fourth.
　本願発明の一実施形態の第６のシステムは、
　前記第２広告は、改善された統計処理データに基づいて選択された、
第１乃至５のいずれかのシステム。 A sixth system according to an embodiment of the present invention is
The second advertisement was selected based on the improved statistically processed data.
Any of the first to fifth systems.
　本願発明の一実施形態の第７のシステムは、
　前記第１広告は、想定属性情報に基づいて選択され、
　前記第２広告は、改善された統計処理データに基づいて選択された、
第１乃至６のいずれかのシステム。 A seventh system of an embodiment of the present invention is
The first advertisement is selected based on the assumed attribute information, and is selected.
The second advertisement was selected based on improved statistically processed data,
The system according to any of the first to sixth.
　本願発明の一実施形態の第８のシステムは、
　前記想定属性情報に基づいて選択された広告は、人予測情報に係る属性情報と所定の関係にある想定属性情報と関連付けられた広告である、
第１乃至７のいずれかのシステム。 An eighth system of an embodiment of the present invention is
The advertisement selected based on the assumed attribute information is an advertisement associated with the assumed attribute information having a predetermined relationship with the attribute information related to the person prediction information,
One of the first to seventh systems.
　本願発明の一実施形態の第９のシステムは、
　前記改善された統計処理データに基づいて選択された広告は、人予測情報に係る属性情報と所定の関係にある属性情報と関連付けられた広告である、
第１乃至８のいずれかのシステム。 A ninth system according to an embodiment of the present invention is
The advertisement selected based on the improved statistical processing data is an advertisement associated with attribute information having a predetermined relationship with attribute information related to person prediction information,
The system according to any one of 1 to 8.
　本願発明の一実施形態の第１０のシステムは、
　前記関係を示す情報は、前記第１視聴情報と、前記第２視聴情報と、の割合である、
第１乃至第９のいずれかのシステム。 The tenth system of one embodiment of the present invention is
The information indicating the relationship is a ratio of the first viewing information and the second viewing information.
Any of the first to ninth systems.
　本願発明の一実施形態の第１１のシステムは、
　前記属性情報は、人属性情報及びファッションアイテム属性情報を含む、
第１乃至１０のいずれかのシステム。 An eleventh system according to an embodiment of the present invention is
The attribute information includes person attribute information and fashion item attribute information,
The system according to any one of the first to tenth aspects.
　本願発明の一実施形態の第１２のシステムは、
　前記第１画像は、前記第１広告により影響を受ける可能性のある位置にいる一又は複数の人を撮像したものであり、
　前記第２画像は、前記第２広告により影響を受ける可能性のある位置にいる一又は複数の人を撮像したものである、
第１乃至１１のいずれかのシステム。 A twelfth system according to an embodiment of the present invention is
The first image is an image of one or more people at positions that may be affected by the first advertisement.
The second image is an image of one or more people at positions that may be affected by the second advertisement.
The system according to any one of the first to eleventh.
　本願発明の一実施形態の第１３のシステムは、
　前記人予測情報は、広告により影響を受ける可能性のある位置に来ると予想される人が有する属性情報を含む、
第１乃至１２のいずれかのシステム。 A thirteenth system of one embodiment of the present invention is
The person prediction information includes attribute information possessed by a person who is expected to come to a position that may be affected by the advertisement.
One of the first to twelfth systems.
　本願発明の一実施形態の第１４の方法は、
　コンピュータが、
　　第１広告に基づく一又は複数の第１画像に係る第１視聴情報を生成するステップ、
　　属性情報に基づいて選択された第２広告に基づく一又は複数の第２画像に係る第２視聴情報を生成するステップ、
　を実行する方法。 The fourteenth method of one embodiment of the present invention is
Computer
Generating first viewing information for one or more first images based on the first advertisement,
A step of generating second viewing information relating to one or more second images based on a second advertisement selected based on attribute information,
How to do.
　本願発明の一実施形態の第１５のプログラムは、
コンピュータを、第１乃至１３のいずれかのシステムとして機能させるためのプログラム。 The fifteenth program of one embodiment of the present invention is
A program for causing a computer to function as any one of the first to thirteenth systems.
　本発明の一実施形態により、より適切に広告の影響を受けた人々の情報を活用できる。 According to an embodiment of the present invention, it is possible to more appropriately utilize information of people affected by advertisement.
図１は、一実施例に係るシステムの全体像の一例を示す図である。FIG. 1 is a diagram illustrating an example of an overall image of a system according to an embodiment. 図２は、一実施例に係るシステムと他の構成の関係の一例を示す図である。FIG. 2 is a diagram illustrating an example of a relationship between the system according to the embodiment and another configuration. 図３は、一実施例に係るシステムと他の構成の関係の一例を示す図である。FIG. 3 is a diagram illustrating an example of a relationship between the system according to the embodiment and another configuration. 図４は、一実施例に係るシステムと他の構成の関係の一例を示す図である。FIG. 4 is a diagram illustrating an example of a relationship between the system according to the embodiment and another configuration. 図５は、一実施例に係るシステムの機能の一例を示す図である。FIG. 5 is a diagram illustrating an example of functions of the system according to the embodiment. 図６は、一実施例に係るシステムのデータの一例である。FIG. 6 is an example of data of the system according to the embodiment. 図７は、一実施例に係るシステムのデータの一例である。FIG. 7 is an example of data of the system according to the embodiment. 図８は、一実施例に係るシステムのデータの一例である。FIG. 8 is an example of data of the system according to the embodiment. 図９は、一実施例に係るシステムのデータの一例である。FIG. 9 is an example of data of the system according to the embodiment. 図１０は、一実施例に係るシステムのフローの一例を示す図である。FIG. 10 is a diagram illustrating an example of the flow of the system according to the embodiment. 図１１は、一実施例に係るシステムのデータの一例である。FIG. 11 is an example of data of the system according to the embodiment. 図１２は、一実施例に係るシステムのデータの一例である。FIG. 12 is an example of data of the system according to the embodiment. 図１３は、一実施例に係るシステムが生成した情報に基づいて表示された画面の一例である。FIG. 13 is an example of a screen displayed based on the information generated by the system according to the embodiment. 図１４は、一実施例に係るシステムのフローの一例を示す図である。FIG. 14 is a diagram illustrating an example of the flow of the system according to the embodiment. 図１５は、一実施例に係るシステムのフローの一例を示す図である。FIG. 15 is a diagram illustrating an example of the flow of the system according to the embodiment. 図１６は、一実施例に係るシステムのフローの一例を示す図である。FIG. 16 is a diagram illustrating an example of the flow of the system according to the embodiment. 図１７は、一実施例に係るシステムのデータの一例である。FIG. 17 is an example of data of the system according to the embodiment. 図１８は、一実施例に係るシステムの生成した情報に基づいて表示された画面の一例である。FIG. 18 is an example of a screen displayed based on the information generated by the system according to the embodiment. 図１９は、一実施例に係るシステムの全体像の一例を示す図である。FIG. 19 is a diagram illustrating an example of an overall image of the system according to the embodiment. 図２０は、一実施例に係るシステムの生成した情報に基づいて表示された画面の一例である。FIG. 20 is an example of a screen displayed based on the information generated by the system according to the embodiment. 図２１は、一実施例に係るシステムの全体像の一例を示す図である。FIG. 21 is a diagram illustrating an example of an overall image of the system according to the embodiment. 図２２は、一実施例に係るシステムの生成した情報に基づいて表示される画面の一例である。FIG. 22 is an example of a screen displayed based on the information generated by the system according to the embodiment. 図２３は、一実施例に係るシステムの全体像の一例を示す図である。FIG. 23 is a diagram illustrating an example of an overall image of the system according to the embodiment. 図２４は、一実施例に係るシステムのフローの一例を示す図である。FIG. 24 is a diagram illustrating an example of the flow of the system according to the embodiment. 図２５は、一実施例に係るシステムのフローの一例を示す図である。FIG. 25 is a diagram illustrating an example of the flow of the system according to the embodiment.
１．システムの一実施例
　図１は、一実施形態のシステムの構成を示したものである。本図において、広告提供装置１０１と、撮像装置１０３と、前記広告提供装置及び前記撮像装置と接続可能な情報処理装置１０３と、を備えたシステムが図示されている。各装置の接続は、ネットワーク１０６を介して接続可能とされてよい。人１０２ａ及び人１０２ｂは、広告提供装置１０１の影響を受ける位置にいる人であり、撮像装置１０３によって撮像されてよい。 1. 1. Example of a system FIG. 1 shows a configuration of a system of one embodiment. In this figure, a system including an advertisement providing device 101, an imaging device 103, and an information processing device 103 that can be connected to the advertisement providing device and the imaging device is shown. The connection of each device may be connectable via the network 106. The person 102a and the person 102b are people who are in a position affected by the advertisement providing device 101, and may be imaged by the image pickup device 103.
　広告提供装置１０１は、広告を提供する機能を有する。広告の提供の態様は種々のものであってよく、広告の表示や音による広告またはこれらの組み合わせであってよい。広告の態様は、例えば、広告の表示であれば、屋内広告、屋外広告、交通広告、などであってよい。また、広告の態様は、可動式サイネージ、固定式サイネージ、屋外サイネージ、交通機関社内サイネージ、デジタルサイネージなどであってよい（デジタル技術を用いた広告媒体を「デジタルサイネージ」ということもある。）。また、音による広告は、スピーカーであってよい。 The advertisement providing device 101 has a function of providing an advertisement. The mode of providing the advertisement may be various, and may be display of the advertisement, advertisement by sound, or a combination thereof. The form of the advertisement may be, for example, an indoor advertisement, an outdoor advertisement, a traffic advertisement, or the like as long as the advertisement is displayed. In addition, the form of the advertisement may be a mobile signage, a fixed signage, an outdoor signage, an in-transit signage, a digital signage, and the like (the advertising medium using digital technology may be referred to as “digital signage”). Also, the sound advertisement may be a speaker.
　また、本図は、一の広告提供装置１０１を図示したが、複数の広告提供装置１０１が、情報処理装置１０４と接続可能とされてよい。 Further, although this figure illustrates one advertisement providing apparatus 101, a plurality of advertisement providing apparatuses 101 may be connectable to the information processing apparatus 104.
　撮像装置１０３は、例えば、カメラであってよい。カメラの機能は種々の態様でよく、その撮影範囲や解像度は問わない。カメラは、本願発明の一実施形態の使用を主目的としたものでも、他の目的を主目的としたものであってもよい。例えば、防犯カメラ、監視カメラ、マーケティング目的のカメラ、などであってよい。 The imaging device 103 may be, for example, a camera. The function of the camera may be various modes, and the shooting range and resolution thereof are not limited. The camera may be primarily intended for use with one embodiment of the present invention or for other purposes. For example, it may be a security camera, a surveillance camera, a camera for marketing purposes, etc.
　本図は、一の撮像装置１０３を図示したが、一の広告について複数の撮像装置１０３を備えてもよい。また、複数の広告提供装置１０１がある場合、その各々について、一又は複数の撮像装置１０３が、情報処理装置１０４と接続可能とされてよい。 Although this figure shows one imaging device 103, a plurality of imaging devices 103 may be provided for one advertisement. Further, when there are a plurality of advertisement providing apparatuses 101, one or a plurality of imaging apparatuses 103 may be connectable to the information processing apparatus 104 for each of them.
　また、広告提供装置１０１と撮像装置１０３は、独立した装置でもよいし、一体化されたものでもよい。例えば、広告提供装置の目の前又は周辺を撮像可能な撮像装置が、広告表示部分の周辺に設置された広告提供装置であってもよい。一実施形態のシステムがかかる撮像装置と広告提供装置とが一体化されたものを使用する場合、広告提供装置と撮像装置との位置関係を調整する負担が軽減できる点がある。 Also, the advertisement providing apparatus 101 and the imaging apparatus 103 may be independent apparatuses or may be integrated. For example, an image capturing device capable of capturing an image in front of or around the advertisement providing device may be an advertisement providing device installed around the advertisement display portion. When the system of one embodiment uses an image pickup device and an advertisement providing device integrated, there is a point that the burden of adjusting the positional relationship between the advertisement providing device and the image pickup device can be reduced.
　情報処理装置１０４は、バス１１０、演算装置１０５、記憶装置１０７、及び通信ＩＦ１１１を備えてよい。また、情報処理装置１０４は、入力装置１０８、表示装置１０９を備えてよい。また、ネットワーク１０６と、直接または間接的に接続可能とされてよい。 The information processing device 104 may include a bus 110, a calculation device 105, a storage device 107, and a communication IF 111. Further, the information processing device 104 may include an input device 108 and a display device 109. Further, the network 106 may be directly or indirectly connectable.
　バス１１０は、演算装置、記憶装置、入力装置、表示装置及び通信ＩＦの間の情報を伝達する機能を有してよい。 The bus 110 may have a function of transmitting information among the arithmetic device, the storage device, the input device, the display device, and the communication IF.
　演算装置１０６の例としては、例えばプロセッサが挙げられる。これは、ＣＰＵであってもよいし、ＭＰＵであってもよい。また、グラフィックスプロセッシングユニット、デジタルシグナルプロセッサなどを有してもよい。要するに、演算装置は、プログラムの命令を実行できる装置であればよい。 A processor is an example of the arithmetic unit 106. This may be a CPU or an MPU. Further, it may have a graphics processing unit, a digital signal processor, or the like. In short, the computing device may be any device that can execute the instructions of the program.
　記憶装置１０７は、情報を記録する装置である。これは、外部メモリと内部メモリのいずれでもよく、主記憶装置と補助記憶装置のいずれでもよい。また、磁気ディスク（ハードディスク）、光ディスク、磁気テープ、半導体メモリなどでもよい。また、ネットワークを介した記憶装置又は、ネットワークを介したクラウド上の記憶装置を有してもよい。 The storage device 107 is a device that records information. This may be either an external memory or an internal memory, and may be a main storage device or an auxiliary storage device. Further, it may be a magnetic disk (hard disk), an optical disk, a magnetic tape, a semiconductor memory or the like. Further, it may have a storage device via a network or a storage device on a cloud via the network.
　なお、演算装置に物理的に近い位置で情報を記憶する、レジスタ、Ｌ１キャッシュ、Ｌ２キャッシュなどは、図１のブロック図においては、演算装置内に含まれる場合もあるが、計算機アーキテクチャのデザインにおいて、情報を記録する装置としては、記憶装置１０７がこれらを含んでもよい。要するに、演算装置、記憶装置及びバスが協調して、情報処理を実行できるよう構成されていればよい。 Note that the registers, L1 cache, L2 cache, etc., which store information at a position physically close to the arithmetic unit may be included in the arithmetic unit in the block diagram of FIG. As a device for recording information, the storage device 107 may include these. In short, it suffices that the arithmetic device, the storage device, and the bus be configured to cooperate with each other to execute information processing.
　記憶装置１０７は、一実施形態のシステムに係るプログラムを備えてよい。また、本発明に関連するサービスを実行する際に必要なデータを、適宜記録することもできる。また、記憶装置は、データベースを含んでもよい。また、記憶装置１０７は、後述する属性情報データベース、及び／又は、統計処理データを記憶してもよいし、これらの情報の一部を記憶してもよい。 The storage device 107 may include a program according to the system of one embodiment. In addition, data necessary for executing the service related to the present invention can be appropriately recorded. The storage device may also include a database. Further, the storage device 107 may store an attribute information database and / or statistical processing data described later, or may store a part of such information.
　また、上記は、演算装置が、記憶装置に備えられたプログラムに基づいて実行される場合を記載したが、上記のバス、演算装置と記憶装置が組み合わされた形式の一つとして、本件システムに係る情報処理を、ハードウェア回路自体を変更することができるプログラマブルロジックデバイス又は実行する情報処理が決まっている専用回路で実現されてもよい。 Further, the above describes the case where the arithmetic device is executed based on the program provided in the storage device, but as one of the formats in which the above-mentioned bus, the arithmetic device and the storage device are combined, Such information processing may be realized by a programmable logic device capable of changing the hardware circuit itself or a dedicated circuit for which information processing to be executed is determined.
　入力装置１０８は、情報を入力するものであるが、他の機能を有してもよい。入力装置としては、キーボード、マウス、タッチパネル、又はペン型の指示装置などの入力装置が挙げられる。 The input device 108 is for inputting information, but may have other functions. Examples of the input device include a keyboard, a mouse, a touch panel, or an input device such as a pen-type pointing device.
　表示装置１０９は、情報を表示する機能を有する。例えば、液晶ディスプレイ、プラズマディスプレイ、有機ＥＬディスプレイなどが挙げられるが、要するに、情報を表示できる装置であればよい。また、タッチパネルのように入力装置を一部に備えてもよい。 The display device 109 has a function of displaying information. For example, a liquid crystal display, a plasma display, an organic EL display and the like can be mentioned, but in short, any device capable of displaying information may be used. Further, an input device such as a touch panel may be partially provided.
　ネットワーク１０６は、通信ＩＦと共に、情報を伝達する。すなわち、情報処理装置である１０４の情報を、ネットワークを介して他の情報端末（図示しない）に伝達できるようにする機能を有する。通信ＩＦは、どのような接続形式でもよく、ＵＳＢ、ＩＥＥＥ１３９４、イーサネット（登録商標）、ＰＣＩ、ＳＣＳＩなどでもよい。ネットワーク１９は、有線と無線のいずれでもよく、光ファイバ、同軸ケーブルなどを用いてもよい。上述の一実施形態のシステムに係る接続は、直接的な接続であっても間接的な接続であってもよい。 The network 106 transmits information together with the communication IF. That is, it has a function of transmitting information of the information processing device 104 to another information terminal (not shown) via the network. The communication IF may be any connection type, such as USB, IEEE1394, Ethernet (registered trademark), PCI, and SCSI. The network 19 may be wired or wireless, and may be an optical fiber or a coaxial cable. The connection according to the system of one embodiment described above may be a direct connection or an indirect connection.
　一実施例に係る情報処理装置を構成するハードウェアは、汎用電子計算機であってもよいし、専用電子計算機であってもよい。また、当該ハードウェアは、ワークステーション、デスクトップパソコン、ラップトップパソコン、ノートパソコン、ＰＤＡ、携帯電話、スマートフォンなどでもよい。 The hardware configuring the information processing apparatus according to the embodiment may be a general-purpose electronic computer or a dedicated electronic computer. Further, the hardware may be a workstation, a desktop computer, a laptop computer, a notebook computer, a PDA, a mobile phone, a smartphone, or the like.
　図１では、一台の情報処理装置１０４として説明したが、情報処理装置１０４は、複数の情報処理装置で構成されてもよい。複数の情報処理装置で構成されている場合、その一又は複数の情報処理装置は、端末装置であってもよい。当該複数の情報処理装置は、内部的に接続されていてもよいし、外部的に接続されていてもよい。また、情報処理装置１０４が複数の情報処理装置で構成される場合、その所有者は、異なってもよい。また、情報処理装置１０４を運営する者は、情報処理装置１０４の所有者と異なっていてもよい。また、情報処理装置１０４は、仮想的なものであってもよい。例えば、クラウドコンピューティングを用いて、情報処理装置１０４を仮想的に実現してもよい。 1 illustrates one information processing device 104, the information processing device 104 may be configured by a plurality of information processing devices. When it is composed of a plurality of information processing devices, the one or more information processing devices may be terminal devices. The plurality of information processing devices may be internally connected or may be externally connected. When the information processing device 104 is composed of a plurality of information processing devices, the owner may be different. Further, the person who operates the information processing apparatus 104 may be different from the owner of the information processing apparatus 104. Further, the information processing device 104 may be a virtual one. For example, the information processing device 104 may be virtually realized by using cloud computing.
　なお、図１においては、一実施形態のシステムの全体像の例を説明したが、一実施形態のシステムが、撮像装置、及び／又は、広告提供装置を備えてもよいし、備えなくともよい。なお、本願書類において、情報処理装置１０４に相当する情報処理装置のみについても、システムということもある。また、システムは、一又は複数の情報処理装置から構成されてよい。 Although an example of the overall image of the system of one embodiment has been described in FIG. 1, the system of one embodiment may or may not include an imaging device and / or an advertisement providing device. .. In the present document, only an information processing device corresponding to the information processing device 104 may be referred to as a system. Further, the system may be composed of one or more information processing devices.
　図２は、他の実施形態に係るシステムを図示したものである。システム２０３は、撮像装置２０１ａ、２０１ｂ、広告提供装置２０２ａ、２０２ｂと、ネットワークを介して、接続可能とされている。この場合、システムは、広告提供装置が提供する広告に関する情報、撮像装置が取得した画像に関する情報を、取得してよい。 FIG. 2 illustrates a system according to another embodiment. The system 203 can be connected to the imaging devices 201a and 201b and the advertisement providing devices 202a and 202b via a network. In this case, the system may acquire the information regarding the advertisement provided by the advertisement providing apparatus and the information regarding the image acquired by the image capturing apparatus.
　図３は、他の実施形態に係るシステムを図示したものである。システム３０３ａは、撮像装置３０１ａ及び広告提供装置３０２ａと接続可能とされ、システム３０３ｂは、撮像装置３０１ｂ、広告提供装置３０２ｂと、接続可能とされ、システム３０３ｃは、撮像装置３０１ｃ及び広告提供装置３０２ｃと接続可能とされている。システム３０３は、システム３０３ａ、システム３０３ｂ、システム３０３ｃと接続可能とされている。上述のとおり、情報処理装置１０４は、複数の情報処理装置から構成されてよく、システム３０３、システム３０３ａ、システム３０３ｂ、システム３０３ｃの各情報処理装置の役割分担は種々のものであってよい。 FIG. 3 illustrates a system according to another embodiment. The system 303a can be connected to the image capturing apparatus 301a and the advertisement providing apparatus 302a, the system 303b can be connected to the image capturing apparatus 301b and the advertisement providing apparatus 302b, and the system 303c can be connected to the image capturing apparatus 301c and the advertisement providing apparatus 302c. It is possible to connect. The system 303 can be connected to the system 303a, the system 303b, and the system 303c. As described above, the information processing device 104 may be composed of a plurality of information processing devices, and the roles of the information processing devices of the system 303, the system 303a, the system 303b, and the system 303c may be various.
　ここで、システム３０３ａ、システム３０３ｂ、システム３０３ｃに異なる役割を与えた例として説明する。システム３０３ａは、広告提供装置３０２ａが提供する広告に係る情報と関連付けて撮像装置３０１ａが撮像した画像について属性情報を生成してよい。システム３０３ａは、属性情報に基づいて統計処理データを生成し、前記統計処理データを、システム３０３に送信し、システム３０３は前記統計処理データを用いてよい。この場合、システム３０３ａからシステム３０３に伝達される統計処理データは一般に属性情報と比べれば容量が少ないため、ネットワーク負荷を低減できる利点があるが、この場合、どのような統計処理データを生成するか、システム３０３ａはシステム３０３から、使用する属性情報、期間、視聴情報の生成手法などの情報を、予め、取得しそれらを用いる必要がある。 Here, an example will be described in which the system 303a, the system 303b, and the system 303c are given different roles. The system 303a may generate attribute information for the image captured by the image pickup device 301a in association with the information related to the advertisement provided by the advertisement providing device 302a. The system 303a may generate statistically processed data based on the attribute information and send the statistically processed data to the system 303, and the system 303 may use the statistically processed data. In this case, since the statistically processed data transmitted from the system 303a to the system 303 generally has a smaller capacity than the attribute information, there is an advantage that the network load can be reduced. In this case, what statistically processed data is to be generated? , System 303a needs to acquire information such as attribute information to be used, period, and viewing information generation method from system 303 in advance and use them.
　また、システム３０３ｂは、広告提供装置３０２ｂが提供する広告に係る情報と関連付けて撮像装置３０１ｂが撮像した画像について属性情報を生成してよい。システム３０３ｂは、生成した属性情報を、システム３０３に送信し、システム３０３は前記属性情報を使用してよい。この場合、属性情報は、一般に画像情報と比べて容量が少ないため、ネットワーク負荷を低減できる利点がある。ここで、属性情報は、画像内の一又は複数の各人に対応した属性情報であってよいが、システム３０３ｂは、画像から属性情報を生成する機能を有する必要がある。 Further, the system 303b may generate attribute information about the image captured by the imaging device 301b in association with the information related to the advertisement provided by the advertisement providing device 302b. The system 303b may transmit the generated attribute information to the system 303, and the system 303 may use the attribute information. In this case, since the attribute information generally has a smaller capacity than the image information, there is an advantage that the network load can be reduced. Here, the attribute information may be attribute information corresponding to one or more persons in the image, but the system 303b needs to have a function of generating the attribute information from the image.
　また、システム３０３ｃは、広告提供装置３０２ｃが提供する広告に係る情報と関連付けて撮像装置３０１ｃが撮像した画像を取得してよい。システム３０３ｃは、取得した広告に関する情報と関連付けられた撮像した画像を、システム３０３に送信し、システム３０３は、前記情報を使用してよい。この場合、システム３０３ｃは、画像から属性情報を取得できる機能を有する必要もなく、また、システム３０３は、種々の情報を生成可能な画像を取得できる利点がある。 Further, the system 303c may acquire the image captured by the image pickup device 301c in association with the information related to the advertisement provided by the advertisement providing device 302c. The system 303c may transmit the captured image associated with the acquired information about the advertisement to the system 303, and the system 303 may use the information. In this case, the system 303c does not need to have a function of acquiring attribute information from an image, and the system 303 has an advantage of being able to acquire an image capable of generating various information.
　以上、撮像装置によって得られた画像から、統計処理データが生成されるまでの情報処理装置を、システム３０３、３０３ａ、３０３ｂ、３０３ｃの分担の態様を変えて説明したが、システム３０３ａは統計処理データまで生成する態様であり、システム３０３ｃは画像のまま送信する態様であり、システム３０３ｂがその間の属性情報を生成する態様という代表的な３つの態様を説明したに過ぎず、その間の種々の態様で、情報処理装置間で分担してよい。このような、システム３０３が取得する、撮像装置３０１ａに基づく統計処理データ、撮像装置３０１ｂに基づく属性情報、撮像装置３０１ｃに基づく画像情報、などを総称して「画像に係る情報」ということもある。 As described above, the information processing apparatus from the image obtained by the imaging apparatus to the generation of the statistically processed data has been described by changing the mode of sharing of the systems 303, 303a, 303b, and 303c. The system 303c is an aspect of transmitting the image as it is, and the system 303b has described only three representative aspects of generating the attribute information during that period. , May be shared among information processing devices. Such statistical processing data based on the image pickup apparatus 301a, attribute information based on the image pickup apparatus 301b, image information based on the image pickup apparatus 301c, and the like acquired by the system 303 may be collectively referred to as “image-related information”. ..
　図４において、念のため、他の実施形態に係るシステムを図示して、説明する。撮像装置４０１ａ及び広告提供装置４０２ａは、システム４０３と接続可能とされ、撮像装置４０１ｂ及び広告提供装置４０２ｂは、システム４０３ｂと接続可能とされ、システム４０３ｂは、システム４０３と接続可能とされている。上述のとおり、情報処理装置１０４は、複数の情報処理装置から構成されてよく、システム４０３ｂ、システム４０３の各情報処理装置の役割分担は種々のものであってよい。 In FIG. 4, as a precaution, a system according to another embodiment is illustrated and described. The imaging device 401a and the advertisement providing device 402a can be connected to the system 403, the imaging device 401b and the advertisement providing device 402b can be connected to the system 403b, and the system 403b can be connected to the system 403. As described above, the information processing device 104 may include a plurality of information processing devices, and the roles of the information processing devices of the system 403b and the system 403 may be various.
　上述のとおり、システム４０３ｂは、広告提供装置４０２ｂと撮像装置４０１ｂと接続可能とされていることから、広告提供装置４０２ｂが提供する広告に係る情報と関連付けて撮像装置４０１ｂが撮像した画像について、上述の種々の態様の、画像に係る情報を、システム４０３ｂはシステム４０３に送信してよい。 As described above, since the system 403b is connectable to the advertisement providing apparatus 402b and the image capturing apparatus 401b, the image captured by the image capturing apparatus 401b in association with the information related to the advertisement provided by the advertisement providing apparatus 402b is described above. The image-related information of various aspects of the system 403b may be transmitted to the system 403.
　他方、システム４０３は、広告提供装置４０２ａが提供する広告に係る情報と関連付けて撮像装置４０１ａが撮像した画像を取得することになる。システム４０３は、撮像装置４０１ａに基づく画像と、撮像装置４０１ｂに基づく画像に係る情報とを、独立に処理してもよいし、適宜合成して一緒に処理してもよい。なお、夫々のデータを合せる場合、撮像された場所が夫々であることを示す情報を付加して区別する場合、各場所で撮像された情報として、統計処理データに反映できる利点がある。 On the other hand, the system 403 acquires the image captured by the image pickup device 401a in association with the information related to the advertisement provided by the advertisement providing device 402a. The system 403 may process the image based on the imaging device 401a and the information related to the image based on the imaging device 401b independently or may combine them appropriately and process them together. In addition, when the respective data are combined, when the information indicating that the imaged places are the respective ones is added and distinguished, there is an advantage that the imaged information at each place can be reflected in the statistically processed data.
　なお、上述では、広告提供装置と撮像装置とを１対１の関係で説明したが、一の広告提供装置に対して、前記一の広告影響位置を撮像できるように、複数の撮像装置を設けてもよいし、複数の広告提供装置に対して、前記複数の広告影響位置を撮像できるように、一の撮像装置を設けてもよい。いずれにおいても、広告影響位置における人が撮像された画像内において、提供されている広告に対する興味に関する情報が取得できるものであればよい。また、一の広告提供装置は、一又は複数の広告を提供してもよい。 In the above description, the advertisement providing device and the imaging device have been described in a one-to-one relationship, but a plurality of imaging devices are provided so that the one advertising influence position can be imaged for one advertisement providing device. Alternatively, one image capturing device may be provided for a plurality of advertisement providing devices so that the plurality of advertisement influential positions can be captured. In any case, it is sufficient that the information on the interest in the provided advertisement can be acquired in the image in which the person at the advertisement affected position is captured. Further, one advertisement providing device may provide one or more advertisements.
２．一実施形態のシステムの機能
　次に、本例のシステムにおける機能について、図５を参照して説明する。図５は、一実施形態のシステムが有しうる機能の具体例を示すブロック図である。一実施形態のシステムは、これらの機能の一部のみを有してよい。 2. Functions of System of One Embodiment Next, functions of the system of the present example will be described with reference to FIG. FIG. 5 is a block diagram showing a specific example of the functions that the system of one embodiment can have. The system of an embodiment may have only some of these features.
２．１．取得部２１
　取得部は、情報を取得する機能を有する。取得部は、画像情報を取得する機能を有してよい。 2.1. Acquisition unit 21
The acquisition unit has a function of acquiring information. The acquisition unit may have a function of acquiring image information.
２．２．属性情報取得部２２
　属性情報取得部は、属性情報を取得する機能を有する。また、属性情報取得部は、興味表示情報を取得してよい。また、属性情報取得部は、属性情報、興味表示情報、及び／又は、人予測情報を生成してよい。 2.2. Attribute information acquisition unit 22
The attribute information acquisition unit has a function of acquiring attribute information. Further, the attribute information acquisition unit may acquire the interest display information. In addition, the attribute information acquisition unit may generate attribute information, interest display information, and / or person prediction information.
２．３．記憶部２３
　記憶部３３は、情報を記憶する機能を有する。記憶部は、複数のデータを有するデータベースを有してよい。 2.3. Memory unit 23
The storage unit 33 has a function of storing information. The storage unit may have a database having a plurality of data.
２．４．統計処理部２４
　統計処理部は、統計処理を行う機能を有する。統計処理部は、視聴情報を生成してよい。また、統計処理部は、一又は複数の視聴情報を含む統計処理データを生成してよい。 2.4. Statistical processing unit 24
The statistical processing unit has a function of performing statistical processing. The statistical processing unit may generate viewing information. Moreover, the statistical processing unit may generate statistical processing data including one or more viewing information.
２．５．広告選択部２５
　広告選択部は、広告を選択する機能を有する。 2.5. Advertisement selection unit 25
The advertisement selection unit has a function of selecting an advertisement.
２．６．対比部２６
　対比部は、視聴情報を対比する機能を有する。 2.6. Contrast part 26
The comparison unit has a function of comparing viewing information.
２．７．金額決定部２７
　金額決定部は、金額を決定する機能を有する。 2.7. Amount determination unit 27
The amount determining unit has a function of determining the amount.
２．８．入札部２８
　入札部は、入札を行う機能を有する。 2.8. Bidding department 28
The bid section has a function of bidding.
３．実施形態
３．１．実施形態１
　次に本願発明に係る一実施形態のシステムを説明する。一実施形態のシステムは、
　第１広告を提供する広告提供部と、
　前記第１広告に影響を受ける可能性のある位置にいる一又は複数の人を撮影する撮像部と、
　前記撮像部において撮像された第１撮像画像を取得する画像取得部と、
　前記第１撮像画像内における一又は複数の人から属性情報を取得する属性情報取得部を備え、
　前記属性情報取得部は、前記第１撮像画像内における一又は複数の人のうち、前記第１広告に興味を示した一又は複数の人について、興味表示情報を生成し、
　前記第１広告と、一の人に係る属性情報と、前記一の人に係る前記興味表示情報と、を関連付けて属性情報データベースに記憶する記憶部と、
を備えるシステムであってよい。 3. Embodiment
3.1. Embodiment 1
Next, the system of one embodiment according to the present invention will be described. The system of one embodiment is
An advertisement providing unit that provides the first advertisement,
An image capturing unit that captures one or more people in a position that may be affected by the first advertisement;
An image acquisition unit that acquires a first captured image captured by the image capturing unit;
An attribute information acquisition unit that acquires attribute information from one or more people in the first captured image,
The attribute information acquisition unit generates interest display information for one or more people who are interested in the first advertisement among one or more people in the first captured image.
A storage unit that stores the first advertisement, the attribute information about the one person, and the interest display information about the one person in association with each other in an attribute information database,
It may be a system provided with.
　本願書類において、「広告」は、顧客を誘致するために、多くの人に知られるようにするものであってよい。誘致する対象は、商品、サービス、及び／又はイベントなど種々のもの（本願書類において、誘致する対象を、「商品等」ということもある。）であってよく、有償、無償を問わない。 In this document, “advertisement” may be made known to many people in order to attract customers. The target to be attracted may be various things such as goods, services, and / or events (the target to be attracted may be referred to as "product, etc." in the documents of the present application), and may be paid or free of charge.
　広告提供部は、広告を提供する機能を有するものであればよい。広告提供部は、広告提供装置により実現されてよい。 ㆍAdvertising unit may have a function of providing advertisements. The advertisement providing unit may be realized by the advertisement providing device.
　撮像部は、広告により影響を受ける可能性のある位置にいる一又は複数の人を撮像する機能を有してよい。なお、広告により影響を受ける可能性のある位置であって撮像されうる位置を、本願書類において「広告影響位置」ということもある。撮像部は、撮像装置により実現されてよい。また、撮像部が設置される位置も、広告影響位置にいる一又は複数の人を撮像する位置であれば、どのような位置でもよい。また、広告撮影一の全てを範囲としなくても、その一部を範囲とするものであってもよい。また、撮像部で撮像される画像は、静止画でも動画でもよい。撮像部は、広告が表示するものである場合や音声の発生場所が人間に認識できる場合において、広告の表示している場所の方向又は認識された音声の発生場所の方向を向いている、広告影響位置にいる一又は複数の人を、撮像できるよう構成されてよい。これにより、広告影響位置にいる一又は複数の人の広告に対する振る舞いを撮像できる利点がある。 The image capturing unit may have a function of capturing an image of one or more people at a position that may be affected by the advertisement. Note that a position that may be affected by an advertisement and that can be imaged may be referred to as an “advertisement affected position” in this document. The imaging unit may be realized by an imaging device. Further, the position at which the image capturing unit is installed may be any position as long as it is a position at which one or more persons at the advertisement affected position are imaged. Further, the entire advertisement shooting may not be the range, but a part thereof may be the range. The image captured by the image capturing unit may be a still image or a moving image. The imaging unit faces the direction of the place where the advertisement is displayed or the direction where the recognized voice is generated, when the advertisement is displayed or when the place where the voice is generated can be recognized by humans. It may be configured to be able to image one or more persons in the affected position. As a result, there is an advantage that the behavior of one or a plurality of persons in the advertisement affected position with respect to the advertisement can be captured.
　属性情報取得部は、画像から、属性情報を生成する機能を有してよい。本願書類において、「属性情報」という用語は、人に係る属性情報（本願書類において、「人属性情報」ということもある）と、ファッションアイテムに係る情報（本願書類において、「ファッションアイテム属性情報」ということもある）の上位概念であってよい。人属性情報は、性別、年齢、年齢層、身長、体格、表情、髪型、社会的地位、所得層、ペットの有無、及び／又は、後述するペルソナ、などであってよい。ファッションアイテム属性情報の例は、ファッションアイテム種別、ファッションアイテム種別、ファッションアイテム色、ファッションアイテム模様、ファッションアイテム加工、ファッションアイテムアクセサリ、及び／又は、ファッションアイテム着丈などであってよい。 Attribute information acquisition unit may have a function of generating attribute information from an image. In this application document, the term “attribute information” refers to attribute information related to a person (sometimes referred to as “person attribute information” in this application document) and information related to a fashion item (“fashion item attribute information” in this application document). It may be a superordinate concept. The human attribute information may be gender, age, age group, height, physique, facial expression, hairstyle, social status, income group, presence / absence of pets, and / or a persona described later. Examples of fashion item attribute information may be fashion item type, fashion item type, fashion item color, fashion item pattern, fashion item processing, fashion item accessory, and / or fashion item length.
　ここで、ファッションアイテム種別であれば、例えば、トップス（Tシャツ/カットソー、シャツ、ブラウス、ポロシャツ、セーター/ニット、ベスト、パーカー、スウェット、カーディガン、タンクトップ、キャミソール、ビスチェ、ベスト）、アウター（テーラードジャケット、ノーカラージャケット、デニムジャケット、ライダースジャケット、ブルゾン、ダウンジャケット、コート、トレンチコート、ミリタリージャケット、ダウンベスト、ニットコート、ガウンワンピース）、パンツ（デニムパンツ、カーゴパンツ、チノパン、スラックス）、ワンピース（ワンピース、オールインワン）、バッグ（ショルダーバッグ、トートバッグ、バックパック/リュック、ボストンバッグ、ボディバッグ/ウェストポーチ、ハンドバッグ、クラッチバッグ、スーツケース/キャリーバッグ、かごバッグ）、シューズ（スニーカー、スリッポン、サンダル、パンプス、ブーツ、ブーティ、ドレスシューズ、バレエシューズ/ローファー、モカシン/デッキシューズ、レインシューズ）、帽子（ハット、ビーニー、ハンチング/ベレー帽、キャスケット）、スカート、などが挙げられる。 Here, if it is a fashion item type, for example, tops (T-shirt/cut-sew, shirt, blouse, polo shirt, sweater/knit, vest, hoodie, sweatshirt, cardigan, tank top, camisole, bustier, vest), outerwear (tailored) Jacket, collarless jacket, denim jacket, riders jacket, blouson, down jacket, coat, trench coat, military jacket, down vest, knit coat, gown dress), pants (denim pants, cargo pants, chinos, slacks), dress ( One piece, all-in-one), bag (shoulder bag, tote bag, backpack/backpack, Boston bag, body bag/waist pouch, handbag, clutch bag, suitcase/carry bag, basket bag), shoes (sneakers, slip-ons, sandals, Pumps, boots, booties, dress shoes, ballet shoes/loafers, moccasins/deck shoes, rain shoes), hats (hats, beanies, hunting/berets, caskets), skirts, and the like.
　ファッションアイテム色であれば、例えば、ホワイト、ブラック、グレー、ブラウン、ベージュ、グリーン、ブルー、パープル、イエロー、ピンク、レッド、オレンジ、ゴールド、シルバーなどであってよい。 For fashion item colors, for example, white, black, gray, brown, beige, green, blue, purple, yellow, pink, red, orange, gold, silver, etc. may be used.
　ファッションアイテム模様であれば、例えば、無地柄、ボーダー柄、ドット柄、ストライプ柄、チェック柄、花柄、カモフラージュ柄、レオパード柄などであってよい。 If it is a fashion item pattern, it may be, for example, a plain pattern, a border pattern, a dot pattern, a stripe pattern, a check pattern, a floral pattern, a camouflage pattern, a leopard pattern, or the like.
　ファッションアイテムの加工であれば、例えば、加工無し、レース加工、プリーツ加工、シフォン加工、ギャザー加工、ファー加工、コーデロイ加工などであってよい。 If it is a fashion item processing, for example, it may be unprocessed, lace processing, pleated processing, chiffon processing, gather processing, fur processing, corderoy processing, etc.
　ファッションアイテムアクセサリであれば、例えば、アクセサリなし、フリル付き、リボン付き、ビジュー付き、ワンポイント付き、ダメージ付き、ポイントファー付きなどであってよい。 If it is a fashion item accessory, it may be without accessories, with frills, with ribbon, with bijou, with one point, with damage, with point fur, etc.
　ファッションアイテム着丈であれば、例えば、半袖、半端袖、長袖、袖なし、ショート丈、ミドル丈、ロング丈、スキニー・タイト、スタンダード、ワイド・ルーズ、ショート丈・ひざ上丈、ハーフ・ひざ丈、フルレングス、ショート・ミニ丈、ひざ丈、ミモレ・半端丈、ロング・マキシ丈などであってよい。 For fashion item length, for example, short sleeve, short sleeve, long sleeve, no sleeve, short length, middle length, long length, skinny tight, standard, wide loose, short length/above knee length, half/knee length, It can be full length, short/mini length, knee length, mimore/half length, long/maxi length, etc.
　ここで、ファッションアイテム色におけるホワイト、ブラック、又はグレーのような具体的な値、ファッションアイテム模様における無地柄、ボーダー柄、ドット柄のような具体的な値、をファッションアイテム属性値ということもある。 Here, a specific value such as white, black, or gray in the fashion item color, a specific value such as a plain pattern, a border pattern, or a dot pattern in the fashion item pattern may be referred to as a fashion item attribute value. ..
　なお、属性情報は、画像情報から機械学習を適用した上で、生成されてよい。また、機械学習の適用の前及び／又は後において、適宜、所定のルールを適用することにより、属性情報が生成されてもよい。また、一の属性情報は、他の属性情報を用いて生成されてもよい。例えば、所得層は、ペットを有していることや高額なブランドに係るファッションアイテムを着用していることを用いて、所得層の情報が生成されてよい。 Note that the attribute information may be generated after applying machine learning from the image information. Further, before and/or after the application of machine learning, the attribute information may be generated by appropriately applying a predetermined rule. Further, one piece of attribute information may be generated using another piece of attribute information. For example, the income class may generate information about the income class by having a pet or wearing a fashion item related to an expensive brand.
　また、広告に係る商品等の典型的なユーザ像（本願書類において、「ペルソナ」ということもある）は、他の属性情報から生成されてよい。例えば、ブレザーを着用した１６歳前後の男性であれば男子高校生、グレーのジャケットを着用した３０歳程度の男性であれば、仕事中のサラリーマン、セーターを着用した３５歳程度の男性であれば、プライベートの男性、などとされてよい。ペルソナは、マーケティングで使用されつつある概念であり、年齢、性別、居所、仕事、生活パターン、学歴、価値観、家族構成、人間関係、貯蓄性向、趣味、インターネット利用状況、など種々のものを含む概念であるが、これらの全ての項目について設定されている必要はないが、一の属性情報取得部が生成する属性情報に係るペルソナの項目の数が、他の属性情報取得部が生成する属性情報に係るペルソナの項目の数より多い場合、よりユーザ像が明確になり、広告に係る選定の精度を向上できる利点がある。 Also, a typical user image (sometimes referred to as “persona” in this document) of a product related to an advertisement may be generated from other attribute information. For example, if you are a male around 16 years old wearing a blazer, you are a high school boy, if you are a male wearing a gray jacket, about 30 years old, you are a salaried worker at work, if you are wearing a sweater, about 35 years old, It may be a private man, etc. Persona is a concept that is being used in marketing, and includes various things such as age, gender, whereabouts, work, life pattern, educational background, values, family structure, relationships, savings propensity, hobbies, Internet usage, etc. Although it is a concept, it does not need to be set for all these items, but the number of persona items related to the attribute information generated by one attribute information acquisition unit is the attribute generated by another attribute information acquisition unit. If the number of items is larger than the number of persona items related to information, there is an advantage that the user image becomes clearer and the accuracy of selection related to advertisement can be improved.
　記憶部は、属性情報取得部が取得した、一の人に係る一又は複数の属性情報を関連付けてデータベースに記憶してよい。属性情報を含むデータベースを、「属性情報データベース」ということもある。属性情報データベースは、広告に係る情報を含まなくてもよいし、広告に係る情報を含んでもよい。広告に係る情報を含まない場合としては、例えば、広告を提供しない状態において、広告影響位置を通る人々に関する情報を収集する場合や、広告提供部が広告を提供した段階において収集された属性情報を、広告とは関係なく広告影響位置を通る人々に関する情報を収集する手段として用いる場合などが挙げられる。 The storage unit may store one or a plurality of pieces of attribute information relating to one person acquired by the attribute information acquisition unit in the database in association with each other. A database containing attribute information is sometimes called an "attribute information database". The attribute information database may not include information related to advertisements, or may include information related to advertisements. As a case where the information related to the advertisement is not included, for example, when collecting information about people who pass through the advertising influence position in the state where the advertisement is not provided, or when the advertisement providing unit collects the attribute information collected at the stage of providing the advertisement, , And the case where it is used as a means for collecting information about people who pass through an advertisement affected position regardless of advertisement.
　また、記憶部は、属性情報取得部が取得した、一の広告と一の人に係る属性情報を、前記一の広告と、前記一の人に係る属性情報と、を関連付けてデータベースに記憶してよい。 Further, the storage unit stores the attribute information related to the one advertisement and the one person acquired by the attribute information acquisition unit in the database in association with the one advertisement and the attribute information related to the one person. You may
　また、属性情報取得部は、一の広告と一の人について、前記広告に対する前記人の興味の有無又は程度に係る情報（本願書類において、「興味表示情報」ということもある）を取得してよい。興味表示情報は、広告に対して人が興味を示す、又は、広告に対して人が興味を示さない、の２つの選択であってもよいし、広告に対して人が興味を示す程度を示す情報であってもよい。広告に対して人が興味を示す程度を示す情報は、興味の程度を示す複数の情報の一が選択される構成であってよい。例えば、興味が低い状態を示す数値が１であり、興味が高い状態を示す数値が１００である、１から１００の選択肢のどれかが特定されるような態様であってよい。なお、属性情報は、興味表示情報の上位概念であってよいが、属性情報は必ずしも興味表示情報を含まなくてもよい。 In addition, the attribute information acquisition unit acquires information relating to the presence or absence or degree of interest of the person in the advertisement (sometimes referred to as "interest display information" in the documents of the present application) for one advertisement and one person. Good. The interest display information may be two choices, that is, the person is interested in the advertisement or the person is not interested in the advertisement, or the degree to which the person is interested in the advertisement. It may be information indicating. The information indicating the degree to which a person is interested in an advertisement may be configured so that one of a plurality of pieces of information indicating the degree of interest is selected. For example, a mode may be specified in which one of the options 1 to 100 is specified, in which the numerical value indicating a low interest state is 1, and the numerical value indicating a high interest state is 100. The attribute information may be a superordinate concept of the interest display information, but the attribute information does not necessarily have to include the interest display information.
　また、興味表示情報は、行動毎の情報として、記憶され、統計処理の対象とされてもよい。この場合、興味表示情報は、例えば、視線を向ける、顔を向ける、指で指す、などの各行動についての情報の有無及び／又は程度を取得する態様であってよい。例えば、図６は、一の広告と一の人について、前記広告に対する前記人の興味を示す行動としての、各行動の、複数の行動を含む興味表示情報の一例である。 Also, the interest display information may be stored as information for each action and subject to statistical processing. In this case, the interest display information may be in a mode of acquiring the presence / absence and / or degree of information about each action such as turning the line of sight, turning the face, and pointing with a finger. For example, FIG. 6 is an example of interest display information including a plurality of actions of each action as an action indicating the person's interest in the advertisement for one advertisement and one person.
　属性情報取得部が、広告影響位置にいた人を撮像した画像から属性情報を取得することで、広告に対して興味を示したかどうかに関わらず、広告影響位置にいた人の情報を取得できる利点がある。また、広告に興味を示さない人に係る属性情報を取得した場合、人予測情報に利用できる情報が増加する利点がある。 The advantage that the attribute information acquisition unit can acquire the information of the person who was in the advertisement influence position regardless of whether or not he / she was interested in the advertisement by acquiring the attribute information from the image of the person who was in the advertisement influence position. There is. Further, when the attribute information about the person who is not interested in the advertisement is acquired, there is an advantage that the information that can be used as the person prediction information increases.
　また、属性情報取得部が、広告に興味を示した情報を含む興味表示情報を含む属性情報を取得することにより、広告影響位置にいた人のうち、広告に興味を示した人の情報を取得できる利点がある。 In addition, the attribute information acquisition department acquires the information of the person who is interested in the advertisement among the people who were in the position affected by the advertisement by acquiring the attribute information including the interest display information including the information showing the interest in the advertisement. There is an advantage that can be done.
　また、興味表示情報は、人を撮像した画像を用いて、人の種々の行動に基づいて、判定されてよい。興味表示情報を判定するための人の行動としては、例えば、人が対象に対して、顔を向ける、視線を向ける、指で指す、興味を示す表情を見せる、歩行速度の変化、立ち止まる、歩行経路が曲がる、または、これらの組み合わせなどが挙げられる。なお、上述の人の行動としては、上述に挙げたものに限られず、一般的に人が広告に対して興味を示していると考えられる行動であって、それを撮像されたものによって判定できるものであってよい。 Also, the interest display information may be determined based on various actions of a person using an image of the person. The actions of a person for determining the interest display information include, for example, a person turning a face, directing a line of sight, pointing with a finger, showing an expression showing an interest, a change in walking speed, stopping, and walking to a target. The route may be curved or a combination thereof may be mentioned. It should be noted that the above-mentioned human behavior is not limited to the above-mentioned behavior, and is generally considered to be an behavior in which a person is interested in an advertisement, and can be determined by an image of the behavior. It may be one.
　顔を向けたことは、例えば、画像内の人の位置に対応する広告影響位置内の位置と、広告の位置と、人の顔の方向の関係から、判定されてよい。顔を向けたことは、顔の輪郭に係る情報を用いてよい。顔の輪郭に係る情報は、例えば、顔の輪郭の顎の輪郭、耳の位置、目の位置、鼻の位置、口角の位置等を用いてよい。また、顔の右・左のいずれか一方の情報を用いてもよい。人の顔は左右対称であることから、一方の情報のみによっても推定できるためである。この場合、検出ポイントの数が減るため、計算量を減少できる利点がある。また、顔の一部を用いて判定してもよい。これは顔の一部が隠れている等見えない場合においても他の顔の部分に、上述の、顎、口角、鼻、目、耳などの一部が検出できることで推定できるためである。この場合、撮像装置に対し横を向いている人や、帽子やマスクをしている人や、撮像部の撮像可能範囲を一部超えた人も含めて判定できるため、より判定可能な人の数を増やすことができる利点がある。なお、広告の表示方向と撮像方向が同一であって、広告提供装置が提供する広告の周囲に撮像装置が備えられている場合など、撮像装置の位置と広告の位置を略同一視できる場合、撮像された画像において人の顔が撮像装置方向を向いているかどうか、撮像装置方向を向いていない場合において撮像装置方向からどの程度顔が傾けられているか、を判定してもよい。また、機械学習技術を用いて、判定されてよい。例えば、画像と、視線を向けたことの関係を用いて、画像に対し、視線を向けたかどうかを判定してよい。 The fact that the face is turned may be determined, for example, from the relationship between the position in the advertisement influence position corresponding to the position of the person in the image, the position of the advertisement, and the direction of the person's face. For turning the face, information related to the contour of the face may be used. As the information relating to the contour of the face, for example, the contour of the jaw of the contour of the face, the position of the ear, the position of the eye, the position of the nose, the position of the corner of the mouth, and the like may be used. In addition, information on either the right or left side of the face may be used. This is because the human face is bilaterally symmetric and can be estimated from only one piece of information. In this case, since the number of detection points is reduced, there is an advantage that the calculation amount can be reduced. Further, the determination may be made using a part of the face. This is because even if a part of the face is hidden or cannot be seen, it can be estimated by being able to detect the above-mentioned part of the chin, mouth corner, nose, eyes, ears, etc. in the other face part. In this case, a person who is facing sideways to the image pickup device, a person wearing a hat or mask, and a person who partially exceeds the image pickup range of the image pickup unit can be included in the judgment. There is an advantage that the number can be increased. In addition, when the display direction and the image capturing direction of the advertisement are the same and the image capturing device is provided around the advertisement provided by the advertisement providing device, when the position of the image capturing device and the position of the advertisement can be approximately the same, It may be determined whether or not the human face is facing the image pickup device direction in the captured image, and how much the face is tilted from the image pickup device direction when the person's face is not facing the image pickup device direction. It may also be determined using machine learning techniques. For example, it may be determined whether or not the line of sight is directed to the image using the relationship between the image and the direction of the line of sight.
　視線を向けることは、例えば、画像内の人の位置に対応する広告影響位置内の位置と、広告の位置と、人の視線の関係から、判定されてよい。視線の方向は目の位置を用いて、判定されてよい。目の位置は、白目内の黒目の位置や面積を用いてよい。なお、広告の表示方向と撮像方向が同一であって、広告提供装置が提供する広告の周囲に撮像装置が備えられている場合など、撮像装置の位置と広告の位置を略同一視できる場合、撮像された画像において人の視線が撮像装置方向を向いているかどうか、撮像装置方向を向いていない場合において撮像装置方向からどの程度視線が傾けられているか、を判定してもよい。また、機械学習技術を用いて、判定されてよい。例えば、画像と、視線を向けたことの関係を用いて、画像に対し、視線を向けたかどうかを判定してよい。 Directing the line of sight may be determined, for example, from the relationship between the position in the advertising influence position corresponding to the position of the person in the image, the position of the advertisement, and the line of sight of the person. The direction of the line of sight may be determined using the position of the eyes. The position of the eye may be the position or area of the black eye within the white eye. When the display direction and the image pickup direction of the advertisement are the same and the position of the image pickup device and the position of the advertisement can be substantially the same, such as when the image pickup device is provided around the advertisement provided by the advertisement providing device. It may be determined whether or not the line of sight of a person is directed toward the image pickup device in the captured image, and how much the line of sight is tilted from the direction of the image pickup device when the line of sight is not directed toward the image pickup device. It may also be determined using machine learning techniques. For example, it may be determined whether or not the line of sight is directed to the image using the relationship between the image and the direction of the line of sight.
　指で示すことは、例えば、画像内の人の位置に対応する広告影響位置内の位置と、広告の位置と、人の指の方向の関係から、判定されてよい。なお、広告の表示方向と撮像方向が同一であって、広告提供装置が提供する広告の周囲に撮像装置が備えられている場合など、撮像装置の位置と広告の位置を略同一視できる場合、撮像された画像において指が撮像装置方向を向いているかどうか、撮像装置方向を向いていない場合において撮像装置方向からどの程度指が傾けられているか、を判定してもよい。また、機械学習技術を用いて、判定されてよい。例えば、画像と、指で示すことの関係を用いて、画像に対し、指を示したかどうかを判定してよい。 The indication with a finger may be determined, for example, from the relationship between the position in the advertisement influence position corresponding to the position of the person in the image, the position of the advertisement, and the direction of the person's finger. In addition, when the display direction and the image capturing direction of the advertisement are the same and the image capturing device is provided around the advertisement provided by the advertisement providing device, when the position of the image capturing device and the position of the advertisement can be approximately the same, It may be determined whether or not the finger faces the direction of the imaging device in the captured image, and how much the finger is tilted from the direction of the imaging device when not facing the direction of the imaging device. In addition, the determination may be made using machine learning technology. For example, it may be determined whether or not the finger is shown on the image by using the relationship between the image and the finger.
　興味を示す表情は、興味を示した場合に人が取りうる顔の表情と、興味の程度と、の関係などを用いて、判定してよい。また、興味を示す表情は、顔を向けたこと、視線を向けること、指で示すこと、のいずれか一つが判定されたことを条件として、興味を示す表情を興味表示情報として生成してもよい。また、この場合、これら単独よりもより興味を示したとする興味表示情報を生成してよい。また、機械学習技術を用いて、判定されてよい。例えば、画像と、興味を示す表情との関係を用いて、画像に対し、顔を向けたかどうかを判定してよい。 The facial expression that indicates interest may be determined by using the relationship between the facial expression that a person can take when showing interest and the degree of interest. Further, even if the facial expression showing interest is generated as the interest display information on the condition that any one of turning the face, turning the line of sight, and showing with the finger is determined. Good. Further, in this case, interest display information that indicates that the person is more interested than these alone may be generated. It may also be determined using machine learning techniques. For example, the relationship between the image and the facial expression indicating interest may be used to determine whether or not the face is turned to the image.
　歩行速度の変化は、例えば、広告影響位置内の位置を移動する速度の変化を用いて、判定してよい。また、歩行速度の変化は、顔を向けたこと、視線を向けること、指で示すこと、のいずれか一つが判定されたことを条件として、歩行速度の変化を興味表示情報として生成してもよい。また、この場合、これら単独よりもより興味を示したとする興味表示情報を生成してよい。また、機械学習技術を用いて、判定されてよい。例えば、画像と、歩行速度の変化との関係を用いて、画像に対し、歩行速度の変化が生じたかどうか、どの程度生じたかを判定してよい。 The change in walking speed may be determined, for example, by using the change in speed of moving the position within the advertisement affected position. In addition, even if the change in walking speed is generated as interest display information on the condition that any one of turning the face, turning the line of sight, and pointing with a finger is determined, the change in walking speed is generated. Good. Further, in this case, interest display information that indicates that the person is more interested than these alone may be generated. In addition, the determination may be made using machine learning technology. For example, the relationship between the image and the change in walking speed may be used to determine whether or not the change in walking speed has occurred and to what extent.
　立ち止まるは、例えば、広告影響位置内の人の位置の移動の有無により判定してよい。また、立ち止まるは、顔を向けたこと、視線を向けること、指で示すこと、のいずれか一つが判定されたことを条件として、立ち止まるを興味表示情報として生成してもよい。また、この場合、これら単独よりもより興味を示したとする興味表示情報を生成してよい。また、機械学習技術を用いて、判定されてよい。例えば、画像と、立ち止まるとの関係を用いて、画像に対し、立ち止まったかどうかを判定してよい。 ㆍStopping may be determined by, for example, the presence or absence of movement of the person's position within the advertisement affected position. Further, the stop may be generated as the interest display information on the condition that any one of the face, the line of sight, and the finger is determined. Further, in this case, interest display information that indicates that the person is more interested than these alone may be generated. In addition, the determination may be made using machine learning technology. For example, the relationship between the image and the stop may be used to determine whether or not the image has stopped.
　歩行経路の変化は、広告影響位置内の人の推定される移動方向からのずれの有無や程度により判定してよい。また、歩行経路の変化を判定する場合は、顔を向けたこと、視線を向けること、指で示すこと、のいずれか一つが判定されたことを条件として、歩行経路の変化を興味表示情報として生成してもよい。また、この場合、これら単独よりもより興味を示したとする興味表示情報を生成してよい。また、機械学習技術を用いて、判定されてよい。例えば、画像と、歩行経路の変化との関係を用いて、画像に対し、歩行経路の変化が生じたかどうか、どの程度生じたかを判定してよい。 The change in the walking route may be judged by the presence or absence and the degree of deviation from the estimated moving direction of the person in the advertisement affected position. In addition, when determining a change in the walking path, the change in the walking path is used as the interest display information on condition that any one of facing the face, pointing the line of sight, and showing with a finger is determined. It may be generated. Further, in this case, interest display information that indicates that the person is more interested than these alone may be generated. In addition, the determination may be made using machine learning technology. For example, the relationship between the image and the change in the walking path may be used to determine whether or not the change in the walking path has occurred in the image and to what extent.
　また、興味表示情報は、上述の人の行動について、行動の回数に関する情報を用いて判定されてもよい。例えば、視線を向ける回数が２回以上ある、顔を広告に対して向ける回数が２回以上ある、などであってもよい。 Also, the interest display information may be determined using the information regarding the number of times of the behavior of the above-mentioned person. For example, the line of sight may be turned twice or more, or the face may be turned to the advertisement twice or more.
　また、興味表示情報は、上述の人の行動の順番に関する情報を用いて、判定されてよい。例えば、視線を向け、その後に、顔を向け、その後に、立ち止まり、その後に、指を指す、などである。単に立ち止まるのみであれば、広告への興味とは別の理由で立ち止まる可能性もあるが、視線や顔を向ける行動と組み合わされて立ち止まる場合には、広告に対する興味の高まりを、考慮することができる。これらは、ルールによって判定された各行動とかかる行動に関する係数とを設定し、かかるルールに基づいて、各行動に関する情報の組み合わせ、及び／又は各行動の時間的組み合わせを用いて、興味表示情報を生成してよい。 Also, the interest display information may be determined by using the above-mentioned information regarding the order of the person's actions. For example, look at, then face, then stop, then finger. If you just stop, you may stop for reasons other than your interest in advertising, but if you stop in combination with eye-gaze or face-turning behavior, you should consider increasing interest in advertising. it can. These set the coefficient for each action determined by the rule and the coefficient for such action, and based on the rule, use the combination of information about each action and / or the temporal combination of each action to display the interest display information. May be generated.
　また、興味表示情報は、広告提供装置が提供する広告内の位置と関連付けられてよい。広告提供装置が一の広告を提供した場合、属性情報取得部は、前記一の広告内の箇所と関連付けて興味表示情報を生成してよい。この場合、人が広告に興味を有しているとして、広告内の具体的にどの箇所であるのかの情報を取得できる利点がある。箇所は、例えば、広告内の右上、右下、中央、などの位置であってもよいし、前記位置と関連付けられた広告内の具体的な内容であってもよい。内容は、商品等のもの、俳優やキャラクターや、広告内におけるイベントなどであってよい。また、広告提供装置が複数の広告を提供した場合、その複数の広告のどれであるか又は前記複数の広告のうちの一の広告内の箇所と関連付けて、興味表示情報を生成してよい。この場合、複数の広告内の一の広告に関する情報を取得できる利点がある。 Further, the interest display information may be associated with the position in the advertisement provided by the advertisement providing device. When the advertisement providing device provides one advertisement, the attribute information acquisition unit may generate interest display information in association with the portion in the one advertisement. In this case, assuming that a person is interested in the advertisement, there is an advantage that it is possible to acquire information about a specific place in the advertisement. The place may be, for example, a position such as upper right, lower right, or center in the advertisement, or may be specific content in the advertisement associated with the position. The content may be a product or the like, an actor or character, an event in an advertisement, or the like. Further, when the advertisement providing device provides a plurality of advertisements, interest display information may be generated in association with any of the plurality of advertisements or a portion in the advertisement of one of the plurality of advertisements. In this case, there is an advantage that information about one advertisement in a plurality of advertisements can be obtained.
　機械学習は、種々の人工知能技術が用いられてよい。人工知能技術としては、例えば、ニューラルネットワーク、遺伝的プログラミング、機能論理プログラミング、サポートベクターマシン、クラスタリング、回帰、分類、ベイジアンネットワーク、強化学習、表現学習、決定木、ｋ平均法などが用いられてよい。 Various artificial intelligence technologies may be used for machine learning. As the artificial intelligence technology, for example, neural network, genetic programming, functional logic programming, support vector machine, clustering, regression, classification, Bayesian network, reinforcement learning, expression learning, decision tree, k-means method, etc. may be used. ..
　ニューラルネットワークを用いた機械学習技術は、ディープラーニング（深層学習）技術を用いてよい。これは、複数の層を用いて入力と出力の関係を学習することで、未知の入力に対しても出力可能とする技術である。教師有りと教師なしの手法が存在するが、どちらが適用されてもよい。なお、機械学習技術は、必ずしもニューラルネットワークに限定されるものではなく、上述の種々の技術が用いられてよい。 The machine learning technology using the neural network may use the deep learning technology. This is a technology that enables output even for unknown inputs by learning the relationship between inputs and outputs using multiple layers. There are methods with and without a teacher, but either method may be applied. Note that the machine learning technique is not necessarily limited to the neural network, and various techniques described above may be used.
　属性情報取得部は、広告提供部が提供する広告の時間情報と、前記広告提供部が提供している間に前記広告に係る広告影響位置にいる人が撮像された画像と、の対応関係から、広告に係る興味表示情報と属性情報と取得してよい。例えば、広告が提供されている間に広告影響位置にいる人が撮像された画像において、各人を特定し、各人について人工知能技術を用いて属性情報を取得し、各広告において、前記画像内の各人と人に係る属性情報とを関連付けて取得して記憶してよい。ここで、異なる時間に撮像された画像間において同一人物であると特定した場合、同一人に対し、同一の人ＩＤを付与してよい。この場合、後述する統計処理部による統計処理において、人の合計数を算出する場合は、人ＩＤを用いて、同一人に対し二重に算出しないよう処理してよい。 The attribute information acquisition unit determines, from the correspondence relationship between the time information of the advertisement provided by the advertisement providing unit and the image in which the person in the advertisement affected position relating to the advertisement is captured while the advertisement providing unit provides the image. , Interest display information and attribute information related to the advertisement may be acquired. For example, in an image in which a person in an advertisement affected position is captured while an advertisement is provided, each person is specified, attribute information is acquired for each person using artificial intelligence technology, and in each advertisement, the image Each person may be acquired and stored in association with the attribute information related to the person. Here, when it is specified that the same person is present in images captured at different times, the same person ID may be given to the same person. In this case, in the statistical processing by the statistical processing unit described later, when the total number of people is calculated, the person ID may be used so as not to do double calculation for the same person.
　図７は、広告を示すＩＤと、興味表示情報と、興味表示情報に係る人の属性情報と、が関連付けられて記憶されている例である。なお、画像ＩＤや、提供されている広告の時間の情報など、他の情報が含まれてもよい。 FIG. 7 is an example in which an ID indicating an advertisement, interest display information, and attribute information of a person related to the interest display information are stored in association with each other. It should be noted that other information such as the image ID and information on the time of the advertisement being provided may be included.
　属性情報データベースが、広告に係る情報と関連付けられて記憶されている場合、「広告属性情報データベース」ということもある。広告に係る情報は、例えば、広告ＩＤ、広告バージョン、広告提供場所、広告に係る商品等、広告に登場する俳優やキャラクター、広告の種類、広告の目的、広告の色調、広告に興味を引くであろうと想定された人に係る属性情報（「広告想定属性情報」ということもある。）、広告に係る商品等の想定される受領者に係る属性情報（「商品等想定属性情報」ということもある）などの情報であってよい。なお、広告想定属性情報と商品等想定属性情報との上位概念を「想定属性情報」ということもある。また、広告に係る情報は、広告や広告ＩＤなど広告それ自身を直接特定する情報を除いてもよい。広告バージョンは、広告のバージョンを特定する情報である。広告には、長いバージョン、短いバージョン、変形バージョンなどが存在する場合があるが、これらを特定する情報であってよい。広告提供場所は、広告を提供する場所であってよい。例えば、広告がデジタルサイネージで提供されている場合、その提供されている場所であってよい。場所は、例えば、渋谷、新宿などの行政区域上の名称であってもよいし、特定の住所であってもよいし、より具体的な建物内の位置を示す情報であってもよい。広告に係る商品等は、広告が提供する商品等であってよい。広告が分類される場合における広告の種類であってよい。 When the attribute information database is stored in association with information related to advertisements, it may be called an "advertisement information database". Information related to advertisements may include, for example, advertisement IDs, advertisement versions, advertisement providing locations, products related to advertisements, actors and characters appearing in advertisements, types of advertisements, purpose of advertisements, color tone of advertisements, and interest in advertisements. Attribute information about a person who is supposed to be (sometimes referred to as “advertisement attribute information”), attribute information about an intended recipient of an advertisement product (also referred to as “product assumption attribute information”). Information). In addition, the superordinate concept of the advertisement assumed attribute information and the product assumed attribute information may be referred to as “supposed attribute information”. In addition, the information relating to the advertisement may exclude information that directly specifies the advertisement itself, such as an advertisement or an advertisement ID. The advertisement version is information that identifies the version of the advertisement. The advertisement may have a long version, a short version, a modified version, and the like, and may be information that specifies these. The advertisement providing place may be a place where an advertisement is provided. For example, if the advertisement is provided by digital signage, it may be the place where the advertisement is provided. The place may be, for example, a name in an administrative area such as Shibuya or Shinjuku, a specific address, or information indicating a more specific position in the building. The product or the like related to the advertisement may be the product or the like provided by the advertisement. It may be the type of advertisement when the advertisement is classified.
　図８は、広告に係る情報と、興味表示情報と、興味表示情報に係る人の属性情報と、が関連付けられて記憶されている例である。なお、他の情報が含まれてもよい。これらが関連付けられて記憶されることにより、どのような広告に、どのよう人々が、興味を有するかの情報を取得できる利点がある。特に、各広告に係る情報である、広告バージョン、広告提供場所、広告に係る商品等、広告に登場する俳優やキャラクター、広告の種類、広告の目的、及び／又は、想定属性情報などと、現実に興味を示した人が有する、人属性情報及び／又はファッションアイテム属性情報との関係の情報を取得でき、種々のマーケティングに利用できる情報を取得できる利点がある。 FIG. 8 is an example in which information related to an advertisement, interest display information, and attribute information of a person related to the interest display information are stored in association with each other. Note that other information may be included. By storing these in association with each other, there is an advantage that information about what kind of advertisement and how people are interested can be obtained. In particular, the information related to each advertisement, such as the advertisement version, the place where the advertisement is provided, the product related to the advertisement, the actors and characters appearing in the advertisement, the type of advertisement, the purpose of the advertisement, and / or the assumed attribute information, etc. There is an advantage that it is possible to acquire information related to human attribute information and / or fashion item attribute information possessed by a person who is interested in, and information that can be used for various marketing.
　また、広告属性情報データベースは、種々の形式のデータベースが採用されてよく、また一又は複数のデータベースから構成されてよい。例えば、広告属性情報データベースとして、リレーショナルデータベースが採用された場合、別途設けられたＩＤにより、各広告に係る情報は関連付けられていてよい。別途設けられたＩＤは、候補キー又はスーパーキーであってよい。 Also, various types of databases may be adopted as the advertisement attribute information database, and one or more databases may be configured. For example, when a relational database is adopted as the advertisement attribute information database, the information related to each advertisement may be associated with each other by a separately provided ID. The ID provided separately may be a candidate key or a superkey.
　また、属性情報取得部は、興味表示情報に係る時間的情報を取得してよい。時間的情報を取得することにより、一定の表示時間を有する広告において、広告に対して人が有する興味の時間的情報を取得できる利点がある。例えば、一定の表示時間を有する広告においては、キャラクターが登場したり、事件が生じたり、音楽が流れたり、音が生じたりなど、種々の出来事が生じうる。これらの出来事において、人が興味を有した時点又は時間帯の情報を取得できる利点がある。 Also, the attribute information acquisition unit may acquire temporal information related to interest display information. By obtaining the temporal information, there is an advantage that in an advertisement having a certain display time, temporal information of a person's interest in the advertisement can be obtained. For example, in an advertisement having a certain display time, various events such as appearance of a character, occurrence of an incident, music playing, and sound may occur. In these events, there is an advantage that information of a time point or a time period when a person has an interest can be acquired.
　時間的情報は、時点であってもよいし一定時間であってもよい。時点または一定時間は、時刻の情報でもよいし、経過時間などであってもよい。経過時間は、一の広告の開始時間からの経過時間であってもよいし、一の企業が広告時間として得ている時間内における経過時間であってもよい。いずれにせよ、広告が表示されている時間帯の中で、人が興味を有した広告に関する時間的情報であればよい。 The time information may be a time point or a fixed time. The time point or the fixed time may be time information, elapsed time, or the like. The elapsed time may be the elapsed time from the start time of one advertisement, or may be the elapsed time within the time obtained by one company as the advertisement time. In any case, it may be any time information regarding an advertisement in which a person is interested in the time zone in which the advertisement is displayed.
　一定の表示時間を有する広告は、経時的要素を含む広告であってもよいし、経時的要素を含まない広告であってもよい。経時的要素を含む広告としては、例えば、動画の広告がある。動画の広告は、ストーリー性のある広告、広告内のキャラクターが動作する広告、広告内に新たなキャラクターが登場する広告、広告内にイベントが生じる広告、などが挙げられる。 The advertisement having a certain display time may be an advertisement including a temporal element or an advertisement not including a temporal element. An advertisement including a temporal element includes, for example, a moving picture advertisement. The advertisement of a video includes an advertisement with a story, an advertisement in which a character in the advertisement operates, an advertisement in which a new character appears in the advertisement, an advertisement in which an event occurs in the advertisement, and the like.
　また、経時的要素を含まない広告としては、静止画の広告がある。静止画であっても、広告内の複数の箇所についてどの順番で興味を示したのか、静止画又はその一部をどの程度の時間興味を示したのか、などの時間的情報を取得することにより、より興味表示情報を取得できる利点がある。 Also, as an advertisement that does not include a temporal element, there is a still image advertisement. Even if it is a still image, by acquiring temporal information such as the order in which you were interested in multiple places in the advertisement, how long you were interested in the still image or part of it , There is an advantage that more interest display information can be obtained.
　属性情報取得部は、広告提供部が提供する広告の時間的情報と、前記広告提供部が提供している間に前記広告に係る広告影響位置にいる人が撮像された画像と、の関係から、興味表示情報に係る時間的情報を取得してよい。例えば、広告が提供されている間に撮像されている画像について、広告提供時間の時刻と、撮像されている画像の時刻との対応関係から、広告と、興味表示情報に係る時間的情報の関係を取得してよい。 The attribute information acquisition unit is based on the relationship between the time information of the advertisement provided by the advertisement providing unit and the image of the person at the advertisement affected position related to the advertisement taken while the advertisement providing unit is providing. The time information related to the interest display information may be acquired. For example, for an image captured while the advertisement is being provided, the relationship between the advertisement and the time information related to the interest display information is based on the correspondence between the time of the advertisement provision time and the time of the image being captured. May get.
　記憶部は、一の広告と、興味表示情報と、興味表示情報に係る時間的情報と、属性情報と、を関連付けて記憶してよい。 The storage unit may store one advertisement, interest display information, time information related to interest display information, and attribute information in association with each other.
　図９は、広告と、人と、前記人に係る興味表示情報と、前記興味表示情報に係る時間的情報と、前記人に係る属性情報と、を関連付けて記憶する一例である。 FIG. 9 is an example in which an advertisement, a person, interest display information about the person, temporal information about the interest display information, and attribute information about the person are stored in association with each other.
　なお、興味表示情報に係る時間的情報とは別に、興味表示情報における興味の程度の情報を、時間的情報を用いて、生成してもよい。例えば、時間的情報が長い場合に、興味の程度について、興味が高いよう程度の情報を生成してもよい。この場合、時間的情報は、人の興味の程度を推測する情報として利用できる利点がある。 Note that, apart from the temporal information related to the interest display information, information about the degree of interest in the interest display information may be generated using the temporal information. For example, when the temporal information is long, information about the degree of interest may be generated so that the degree of interest is high. In this case, the temporal information has an advantage that it can be used as information for estimating the degree of interest of a person.
　次に、一実施形態における全体の流れを図１０を用いて説明する。まず、広告提供部が広告を提供する（１００１）。次に、広告が提供されている間に、撮像装置が、広告影響位置にいる人を撮像する（１００２）。撮像された画像内の一又は複数の人について、属性情報取得部が一又は複数の種類の属性情報を取得する（１００３）。広告に係る情報と、画像内の人と、前記人に対する属性情報とを、関連付けて記憶する（１００４）。 Next, the overall flow in one embodiment will be described with reference to FIG. First, the advertisement providing unit provides an advertisement (1001). Next, while the advertisement is being provided, the image capturing device captures an image of the person at the advertisement affected position (1002). The attribute information acquisition unit acquires one or more types of attribute information for one or more persons in the captured image (1003). Information relating to the advertisement, the person in the image, and the attribute information for the person are stored in association with each other (1004).
３．２．実施形態２
　一実施形態のシステムは、統計処理部を有してよい。統計処理部は、統計処理を行う機能を有する。統計処理部は、属性情報データベースを用いて、統計処理を行ってよい。統計処理部が、統計処理を施して得た情報は、統計処理データとして記憶してよい。統計処理データは、以下で詳述する一又は複数の視聴情報を含んでよい。 3.2. Embodiment 2
The system of one embodiment may include a statistical processing unit. The statistical processing unit has a function of performing statistical processing. The statistical processing unit may perform statistical processing using the attribute information database. The information obtained by performing the statistical processing by the statistical processing unit may be stored as statistical processing data. The statistically processed data may include one or more viewing information detailed below.
＜広告に対する属性情報＞
　統計処理部は、広告に対し、広告と関連付けられた一又は複数の属性情報について、視聴情報を生成してよい。 <Attribute information for advertisement>
The statistical processing unit may generate viewing information for the advertisement for one or more attribute information associated with the advertisement.
　本願書類において、興味を示した人又は興味を示さない人のどちらかに関する値を「視聴値」ということもある。また、興味を示す可能性のある人（すなわち、撮像装置で撮像された広告影響位置にいる人）に関する値を「視聴母数値」ということもある。また、興味を示した人と興味を示していない人の関係を示す相対値を「視聴率」ということもある。また、視聴値と視聴率との上位概念として、「興味視聴情報」ということもあり、興味視聴情報と、視聴母数値と、の上位概念として、「視聴情報」ということもある。視聴情報が生成されることにより、広告の影響を受けうる人の情報を具体的かつ簡易な数値で取得できる利点があり、広告の提供にあたり参考となる情報を効率的に収集できる利点がある。なお、興味視聴情報は興味表示情報を使用しているため、人々の広告に対する興味の情報を反映した情報として利用できる利点がある。特に具体的な広告についての興味視聴情報が生成された場合、かかる広告に関する効果を測定できる利点がある。他方、視聴母数値は、興味表示情報を使用せずに生成できるため特定の広告が提供されてもよいが特定の広告を提供しない状態で撮像装置が撮像した人々に関する情報から生成できる利点がある。 In this document, the value regarding either the person who showed interest or the person who does not show interest is sometimes referred to as "viewing value". In addition, a value regarding a person who may have an interest (that is, a person who is in the advertisement influence position captured by the image capturing apparatus) may be referred to as a “viewing parameter”. In addition, a relative value indicating a relationship between a person who is interested and a person who is not interested may be referred to as an "audience rating". In addition, the superordinate concept of the viewing value and the audience rating may be "interested viewing information", and the superordinate concept of the interested viewing information and the viewing population value may be "viewing information". Since the viewing information is generated, there is an advantage that information of a person who can be influenced by the advertisement can be acquired with a concrete and simple numerical value, and there is an advantage that information that serves as a reference in providing the advertisement can be efficiently collected. Since the interest viewing information uses the interest display information, there is an advantage that the interest viewing information can be used as the information reflecting the information about the interest of people in the advertisement. Especially when interest viewing information about a specific advertisement is generated, there is an advantage that the effect of such an advertisement can be measured. On the other hand, since the audience parameter can be generated without using the interest indicating information, a specific advertisement may be provided, but there is an advantage that it can be generated from information about people imaged by the imaging device in the state where the specific advertisement is not provided. ..
　視聴値は、一の広告に対して興味を示す人数を対象として集計した値でもよいし、前記一の広告に対して興味を示さない人数を対象として集計した値でもよいし、前記一の広告に対して示した興味の程度が一定以上の人数を対象として集計した値でもよい。広告に対して興味を示した人の数は、前記広告に対して、興味を示した興味表示情報を含む人の数によって算出されてよい。広告に対して興味の程度が一定以上の人数は、興味表示情報において興味の高さの程度が所定の値以上の人数によって算出されてよい。 The viewing value may be a value aggregated for the number of people who are interested in one advertisement, a value aggregated for the number of people who are not interested in the one advertisement, or the one advertisement. It may be a value obtained by aggregating the number of persons having a certain degree of interest or more. The number of people who are interested in the advertisement may be calculated by the number of people who include the interest display information that is interested in the advertisement. The number of people having a certain degree of interest in the advertisement may be calculated by the number of people having a degree of high interest in the interest display information that is equal to or more than a predetermined value.
　また、視聴値は、広告に興味を示した人に係る情報であってよい。広告に興味を示した人に係る情報は、例えば、人が、広告に興味を示した時間、広告に対して示した興味の程度を数値化した場合における数値、などであってよい。また、これらの時間や数値は、広告に興味を示した人の合計の、夫々、時間、数値であってよい。なお、広告が時間をベースとして費用が加算される現在のビジネスに鑑みて、視聴値として時間に関する情報を収集できる場合、費用の算出の参考になる利点がある。 Also, the audience value may be information relating to a person who has shown an interest in the advertisement. The information related to the person who has shown an interest in the advertisement may be, for example, a time when the person shows an interest in the advertisement, a numerical value when the degree of the interest shown to the advertisement is digitized, and the like. Further, these times and numerical values may be the times and numerical values of the total of those who have shown interest in the advertisement, respectively. In addition, in view of the current business in which an advertisement is added with a cost based on time, if information about time can be collected as a viewing value, there is an advantage to be a reference for calculating the cost.
　より具体的には、時間に関する視聴値は、例えば、一の広告について興味を示したと判定された人が前記一の広告について興味を示した時間の合計であってもよいし、一の広告について興味を示したと判定された人の人数と前記広告の提供時間とを乗じた数値であってもよい。前者は、各興味を示した人が、実際に興味を示している時間の合計を精緻に情報として取得できる利点がある。後者は、各興味を示した人について、具体的な興味を引いた時間は考慮しないものの、少なくとも広告の提供に対して興味を示したことを、計算できる利点がある。また、前記一の広告に対するものに代えて、複数の広告についても、同様に生成されてよい。この場合、複数の広告に対する情報を取得できる利点がある。 More specifically, the viewing value in terms of time may be, for example, the total time during which a person determined to be interested in one advertisement is interested in the one advertisement, or for one advertisement. It may be a numerical value obtained by multiplying the number of people determined to be interested by the advertisement providing time. The former has an advantage that a person who shows each interest can precisely acquire the total time of actually showing the interest as information. The latter has the advantage of being able to calculate at least that he/she showed an interest in the provision of advertisements, although he did not consider the time at which he or she specifically showed the interest. Further, instead of the one for the one advertisement, a plurality of advertisements may be generated in the same manner. In this case, there is an advantage that information regarding a plurality of advertisements can be acquired.
　視聴母数値は、広告の提供と関係なく、撮像装置で撮像された広告影響位置にいる人に係る情報であってよい。広告影響位置にいる人に係る情報は、例えば、広告影響位置にいる人数、広告影響位置内にいる各人の合計時間、などであってよい。 The audience parameter value may be information relating to the person in the advertisement affected position captured by the image capturing device, regardless of the provision of the advertisement. The information related to the person in the advertising influence position may be, for example, the number of people in the advertisement influence position, the total time of each person in the advertisement influence position, and the like.
　視聴率は、一の広告に係る広告影響位置にいる人に係る情報を分母とし、前記一の広告に係る広告影響位置にいる人の中で前記一の広告に興味を示した人に係る情報を分子として算出されたものであってよい。視聴率は、割合、百分率、などで表示されてよい。一の広告に係る広告影響位置にいる人に係る情報は、かかる人に関する情報の合計であってよい。例えば、かかる人の人数、かかる人が広告影響位置にいた時間の合計時間、又は広告に対する興味の程度を数値化した場合における一人あたりの最大の数値と前記かかる人の人数を乗じた数値、などであってよい。これに対し、一の広告に興味を示した人に係る情報は、上述の各母数のうち、広告に興味を示した人に係る対応する情報であってよい。視聴率を生成することにより、同じ広告影響位置にいた人のうち広告に興味を示した人に係る情報を収集できる利点がある。 The audience rating is the information related to the person who is interested in the one advertisement among the persons in the advertisement affected position related to the one advertisement, with the information related to the person in the advertisement affected position related to the one advertisement as a denominator. May be calculated as a numerator. The audience rating may be displayed as a percentage, a percentage, or the like. The information about the person in the advertisement affected position related to the one advertisement may be the total of the information about the person. For example, the number of such persons, the total time that the person was in the advertisement affected position, or the maximum number per person when quantifying the degree of interest in the advertisement and the number obtained by multiplying the number of such persons, etc. May be On the other hand, the information related to the person who is interested in one advertisement may be the corresponding information related to the person who is interested in the advertisement among the above-mentioned parameters. By generating the audience rating, there is an advantage that it is possible to collect information about persons who are interested in the advertisement among those who are in the same advertisement influence position.
　また、視聴値が時間に関する視聴値が時間を単位として提供される広告のビジネスと関係すると同様に、視聴率も、時間に関する視聴率が生成されてよい。具体的には、分母が、一の広告について広告影響位置にいる人の人数に、前記一の広告の提供時間で乗じた数値であってよく、分子は、一の広告について興味を示したと判定された人の人数を、前記広告の提供時間で乗じた数値であってよい。また、分母が、各提供された広告について広告影響位置にいる人の各人数に前記各広告の提供時間を乗じて、合計した値であり、分子が、各提供された広告について興味を示したと判定された各人数と、前記各広告の提供時間と、を乗じて、合計した値であってよい。また、分子における前記広告の提供時間に代えて、実際に、広告に興味を示した各人が、前記広告に興味を示したと判定された時間を用いてよい。 Also, as with the advertisement business in which the audience value is related to time, the audience value may be generated with respect to time, as in the case of an advertisement business in which the audience value is provided in units of time. Specifically, the denominator may be a numerical value obtained by multiplying the number of people in the advertisement affected position for one advertisement by the provision time of the one advertisement, and the numerator determines that the one advertisement showed interest. It may be a numerical value obtained by multiplying the number of people who have been served by the time when the advertisement is provided. Also, the denominator is a value obtained by multiplying the number of persons in the advertisement affected position for each provided advertisement by the provision time of each advertisement, and summing the value, and the numerator showed interest in each provided advertisement. It may be a value obtained by multiplying each determined number of people and the provision time of each advertisement and totaling them. Further, instead of the advertisement providing time in the numerator, the time when it is determined that each person who is actually interested in the advertisement is interested in the advertisement may be used.
　ここで、視聴率が、人数の場合の例を説明すると、特定の広告を提供している場合において、広告影響位置にいた人として、広告の前を通り過ぎた人が１００人いる場合において、その広告に対して、顔を向けたり、視線を合せたり、指を指すなど、広告に興味を示した人が３０人いる場合など、前記１００人のうち、前記広告について興味を有する内容を含む興味表示情報と関連付けられた人が３０人いる場合、３割という値が視聴率であってよい。 Here, an example of the case where the audience rating is the number of people will be described. In the case where a specific advertisement is provided, when 100 people who have passed the advertisement as the people in the advertisement affected position, An interest that includes content that is interested in the advertisement among the 100 people, such as when there are 30 people who are interested in the advertisement, such as facing the face, matching the line of sight, or pointing to the advertisement. When there are 30 people associated with the display information, a value of 30% may be the audience rating.
　視聴情報は、広告影響位置にいる人のうち、特定の一又は複数の属性情報を有する人々について、生成されたものでもよい。この場合、広告に対して、一又は複数の属性情報を有する人々における情報を収集できる利点がある。 The viewing information may be generated for people who have one or more specific attribute information among people in the advertisement affected position. In this case, there is an advantage that information regarding people having one or more attribute information can be collected for the advertisement.
　また、視聴情報は、特定の一回又は複数回提供された一の広告について、生成されてよい。この場合、特定の一回又は複数回に係る情報を収集できる利点がある。特に、広告は、提供された広告の時間を用いて費用が計算されることが多いため、特定の一回又は複数回という特定の広告時間に対し、人々がどの程度興味を示したかという情報を収集すると、広告の費用対効果を検討する情報を収集できる利点がある。 Also, the viewing information may be generated for a specific advertisement provided once or a plurality of times. In this case, there is an advantage that information relating to a specific one-time or multiple times can be collected. In particular, advertisements are often costed using the time of the advertisements provided, so information about how interesting people are to a particular advertisement time, one or more times, is provided. Collecting has the advantage of being able to collect information that considers the cost-effectiveness of advertising.
　また、視聴情報は、一又は複数の特定の場所で提供された広告について、生成されてよい。この場合、一又は複数の特定の場所における情報を収集できる利点がある。 Also, viewing information may be generated for advertisements provided at one or more specific locations. In this case, there is an advantage that information can be collected at one or more specific locations.
　また、視聴情報は、特定の期間について、生成されてよい。この場合、特定の期間に係る情報を収集できる利点がある。 Also, viewing information may be generated for a specific period of time. In this case, there is an advantage that information regarding a specific period can be collected.
　特定の期間として、一日の所定時間で集計してもよいし、曜日毎に集計してもよいし、平日と休日に分けて集計してもよいし、月の前半・中盤・後半に分けて集計してもよいし、春夏秋冬と季節を分けて集計してもよいし、夏季休暇、クリスマス休暇、年初などの季節的な休暇について集計してもよい。特定の期間を、夫々区分けして行うことにより、かかる特定期間を前提とした人々の広告に対する興味度合いに関する情報を収集できる利点がある。これは、特定の時期と関連する商品等についての広告に対する興味が増加することがあるためである。 As a specific period, it may be aggregated at a predetermined time of day, may be aggregated for each day of the week, may be aggregated for weekdays and holidays, or may be divided into the first half, the middle stage and the second half of the month. May be totaled, or may be totaled separately for each season such as spring, summer, autumn, winter, and may be totaled for seasonal vacation such as summer vacation, Christmas vacation, and the beginning of the year. By dividing the specific period into pieces, it is possible to collect information on the degree of interest in the advertisement of people on the assumption of the specific period. This is because interest in advertisements for products and the like related to a specific period may increase.
　また、特定の期間として、一日の特定の時間帯で生成されてもよい。例えば、平日において、朝の通勤時間帯、夕方の退勤時間帯、等が挙げられる。この場合、通勤時における人々の情報を収集できる利点がある。また、平日において、昼の昼食時間帯であってもよい。この場合、昼食時間帯における人々の情報を収集できる利点がある。 Also, it may be generated in a specific time zone of the day as a specific period. For example, on weekdays, morning commuting hours, evening quitting hours, etc. may be mentioned. In this case, there is an advantage that information of people at the time of commuting can be collected. In addition, on weekdays, it may be lunchtime during the daytime. In this case, there is an advantage that information on people can be collected during lunch time.
　なお、特定の期間に係る視聴情報は、分、時間、日、曜日、平日・休日、月、などの種々の単位で平均化されてもよいし、合計されたものであってもよい。 Note that the viewing information related to a specific period may be averaged in various units such as minutes, hours, days, days of the week, weekdays/holidays, months, etc., or may be totaled.
　また、視聴情報は、特定の複数の広告について、生成されてよい。この場合、複数の広告にわたり視聴情報を収集できる利点がある。 Also, viewing information may be generated for a specific plurality of advertisements. In this case, there is an advantage that the viewing information can be collected over a plurality of advertisements.
　また、視聴情報は、特定の関係を有する複数の広告について、生成されてよい。例えば、一又は複数の広告のバリエーションの複数の広告であったり、一又は複数の広告のうちの短いバージョンや長いバージョンなどの特定のバージョンの複数の広告であったり、特定の一又は複数の場所に設置された複数の広告であったり、特定の一又は複数の種類の広告であったりしてよい。この場合、特定の一又は複数の広告に係る情報を有する複数の広告について、視聴情報を収集できる利点がある。 Also, the viewing information may be generated for a plurality of advertisements having a specific relationship. For example, multiple ads in one or more variations of the ad, multiple ads in a particular version, such as a short or long version of one or more ads, or in one or more specific locations. It may be a plurality of advertisements installed in a specific one or a plurality of types of advertisements. In this case, there is an advantage that viewing information can be collected for a plurality of advertisements having information related to a specific one or a plurality of advertisements.
　また、視聴情報は、撮像装置から取得された画像に基づく属性情報の全てを用いて生成されてもよいし、撮像装置から取得された画像に基づく属性情報の一部を用いて生成されてもよい。例えば、視聴情報は、上述の、特定の一又は複数の属性情報を有する人々、特定の一回又は複数回提供された一の広告、一又は複数の特定の場所で提供された広告、特定の期間に係る広告、特定の複数の広告、又は、特定の関係を有する複数の広告、に限定して収集された情報を用いて生成されてよい。この場合、各限定されたものについての視聴情報を取得できる利点がある。 Further, the viewing information may be generated by using all of the attribute information based on the image acquired from the image pickup device, or may be generated by using a part of the attribute information based on the image acquired from the image pickup device. Good. For example, the viewing information may include the above-mentioned people having one or more specific attribute information, one advertisement provided one or more specific times, advertisement provided in one or more specific places, or specific advertisement. It may be generated using the information collected by limiting the advertisement to the period, the specific advertisements, or the advertisements having the specific relationship. In this case, there is an advantage that viewing information about each limited item can be acquired.
　また、視聴情報は、上述の、特定の一又は複数の属性情報を有する人々、特定の一回又は複数回提供された一の広告、一又は複数の特定の場所で提供された広告、特定の期間に係る広告、特定の複数の広告、特定の関係を有する複数の広告、について、これらの一部又は全部の組み合わせ、について生成されてよい。この場合、各組み合わせた観点における視聴情報を生成できる利点があり、広告と人々に係る種々の情報から多様な情報を取得できる利点がある。 In addition, the viewing information may include the above-mentioned people who have one or more specific attribute information, one advertisement that is provided once or a plurality of times, an advertisement that is provided at one or more specific locations, and a certain advertisement. It may be generated for a period-related advertisement, a specific plurality of advertisements, a plurality of advertisements having a specific relationship, and a part or a combination thereof. In this case, there is an advantage that the viewing information in each combined viewpoint can be generated, and there is an advantage that various information can be acquired from various information relating to the advertisement and the people.
　また、統計処理部は、視聴情報を生成するための基礎となる情報として、上述の、特定の一又は複数の属性情報を有する人々、特定の一回又は複数回提供された一の広告、一又は複数の特定の場所で提供された広告、特定の期間に係る広告、特定の複数の広告、特定の関係を有する複数の広告、について、これらの一部又は全部の組み合わせ、の選択肢を提供してよい。かかる選択肢が提供されることにより、システムの利用者は、視聴情報を生成するための基礎となる情報を、目的に合わせて選択できる利点がある。また、統計処理部は、選択された上記の情報を取得できる機能を有してよい。統計処理部は、かかる情報を取得した場合、かかる情報に合わせて、視聴情報を生成してよい。かかる選択された情報に基づいて視聴情報を生成する機能により、目的に合わせた視聴情報を生成できる利点がある。 In addition, the statistical processing unit, as information serving as a basis for generating the viewing information, the above-mentioned people having one or more specific attribute information, one specific advertisement provided once or multiple times, Or a combination of some or all of advertisements provided at specific places, advertisements related to a specific period, specific advertisements, and advertisements having a specific relationship. You may By providing such an option, the user of the system has an advantage that the information that is the basis for generating the viewing information can be selected according to the purpose. Further, the statistical processing unit may have a function of acquiring the selected information described above. When acquiring such information, the statistical processing unit may generate the viewing information in accordance with the information. With the function of generating the viewing information based on the selected information, there is an advantage that the viewing information suitable for the purpose can be generated.
　ここで、特定の複数の属性情報を用いた例を説明すると、統計処理部は、性別の属性情報と、年齢層の属性情報と、ファッションアイテムの色と、に関する特定の複数の属性情報を用いて、視聴情報を生成してよい。 Here, an example using a plurality of specific attribute information will be described. The statistical processing unit uses a plurality of specific attribute information regarding gender attribute information, age group attribute information, and fashion item color. Viewing information may be generated.
　図１１は、一の広告と、前記一の広告に係る人の性別の属性情報と、前記一の広告に係る人の年齢層の属性情報についての、興味ありと興味なしの人数を、各々集計して数値を生成した例である。ここで、興味あり、及び、興味なしは、興味表示情報に基づいてよい。 FIG. 11 shows the total number of people with and without interest in one advertisement, attribute information of the gender of the person related to the one advertisement, and attribute information of the age group of the person related to the one advertisement. This is an example of generating a numerical value. Here, "interested" and "not interested" may be based on the interest display information.
　統計処理部が属性情報として、ファッションアイテム属性情報を用いて集計した場合、ファッションアイテム属性情報は、人のファッションセンスや好みについて、一定の傾向を示すものであるため、ファッション関連の商品等はこれらの広告と深層的な関連性を情報として整理できる利点がある。また、これらの関連性を用いて、商品等に対するマーケティングを検討する題材を提供できる利点がある。 When the statistical processing unit aggregates the attribute information using the fashion item attribute information, the fashion item attribute information indicates a certain tendency with respect to a person's fashion sense and taste. There is an advantage that you can organize the advertisement and deep relations as information. In addition, there is an advantage that it is possible to provide a subject for considering marketing for a product or the like by using these relationships.
　また、統計処理部が属性情報として、ファッションアイテム属性情報及び人属性の両方を用いて集計した場合、人属性を前提として、ファッションセンスや好みを考慮した関連性を情報として整理できる利点がある。また、これらの関連性を用いて、商品等に対するマーケティングを検討する題材を提供できる利点がある。 In addition, when the statistical processing unit aggregates both the fashion item attribute information and the person attribute as attribute information, there is an advantage that it is possible to organize the relevance in consideration of fashion sense and taste on the basis of the person attribute. In addition, there is an advantage that it is possible to provide a subject for considering marketing for a product or the like by using these relationships.
　また、統計処理部が、広告に係る情報と、上述のファッションアイテム属性情報との両方を用いて視聴情報を生成した場合、ファッションセンスや好みを考慮した関連性を情報として整理できる利点がある。また、これらの関連性を用いて、商品等に対するマーケティングを検討する題材を提供できる利点がある。 Also, when the statistical processing unit generates the viewing information using both the information related to the advertisement and the above-mentioned fashion item attribute information, there is an advantage that the relationship in consideration of fashion sense and taste can be organized as information. In addition, there is an advantage that it is possible to provide a subject for considering marketing for a product or the like by using these relationships.
　また、視聴情報は、属性情報の各層について生成されてよい。例えば、性別についての属性情報であれば、男性、及び／又は、女性について視聴情報を生成してよい。年齢についての属性情報であれば、１０代、２０代、３０代等の各年齢層についての視聴情報を生成してもよいし、より具体的な層として、２１歳、２２歳、２３歳などの各年齢について視聴情報を生成してもよい。また、ファッションアイテム情報についてであれば、各ファッションアイテム色について視聴情報を生成してもよいし、各ファッションアイテム種別について視聴情報を生成してもよいし、バッグの有無や、ハットの有無、などについて視聴情報を生成してもよい。 Also, viewing information may be generated for each layer of attribute information. For example, the viewing information may be generated for men and/or women as long as it is attribute information about gender. If it is attribute information about age, viewing information for each age group such as teens, 20s, 30s, etc. may be generated, and as a more specific group, 21 years old, 22 years old, 23 years old, etc. Viewing information may be generated for each age. Further, as for fashion item information, viewing information may be generated for each fashion item color, viewing information may be generated for each fashion item type, presence / absence of a bag, presence / absence of a hat, etc. Viewing information may be generated for.
　統計処理部は、属性情報について、所定の範囲のグループ化をして、上述の集計をしてよい。所定の範囲のグループ化は、例えば、２０歳乃至２５歳のグループ、２６歳乃至３０歳のグループ等であってよい。また、所定の範囲のグループ化は、一又は複数の情報についてグループ化であってもよい。例えば、男性というグループと、女性というグループであってもよいし、ファッションアイテム属性について、ファッションアイテム色属性であれば、黄色のグループ、青色のグループ、黒色のグループ、などであってよく、ファッションアイテム種別属性であれば、アウターのグループ、ボトムのグループ、等であってもよいし、シャツ、ブラウス、及びポロシャツを一つとしたグループ、デニムパンツのグループ、ショルダーバックのグループ、などであってもよい。 Statistic processing unit may group the attribute information into a predetermined range and perform the above-mentioned aggregation. The grouping in a predetermined range may be, for example, a group of 20 to 25 years old, a group of 26 to 30 years old, and the like. Further, the grouping of the predetermined range may be a grouping of one or more pieces of information. For example, it may be a group of men and a group of women, and as for fashion item attributes, if it is a fashion item color attribute, it may be a yellow group, a blue group, a black group, etc., and a fashion item. It may be an outer group, a bottom group, etc., or a group of shirts, blouses and polo shirts, a group of denim pants, a group of shoulder bags, etc., as long as they are type attributes. ..
　また、統計処理部は、視聴情報についての種々のランキングを生成してよい。例えば、統計処理部は、特定の一又は複数の属性情報についての視聴情報のランキング、複数の広告についての視聴情報のランキング、又は、一又は複数の広告に係る情報についての視聴情報のランキング、などが挙げられる。特定の一又は複数の属性情報についての視聴情報のランキングは、性別、年齢層、ファッションアイテム種別、ファッションアイテム色などの特定の一又は複数の属性情報についての視聴情報のランキングであればよく、その対象は一又は複数の広告についてのものであってもよいし、広告に係る情報について視聴情報の生成の段階において限定されていてもよい。複数の属性情報についての視聴情報、とは、例えばファッションアイテム色と性別という複数の属性情報であれば、青・男性、赤・男性、黒・男性、青・女性、赤・女性、黒・女性、などの組み合わせについての視聴情報であってもよいし、青・赤・黒の各属性情報の各視聴情報と男性・女性の各属性情報の各視聴情報であってもよい。なお、前者の組み合わせは、全ての組み合わせについてであってもよいし、一部の組み合わせについてであってもよい。前者の場合、全ての組み合わせの情報を取得できる利点があり、後者の場合、煩雑な全ての組み合わせに代えて一部の情報に注目できる利点がある。また、かかる構成により、属性情報の観点でランキングを生成することが可能となり、種々の分析が可能となる利点がある。また、一又は複数の広告に係る情報についての視聴情報のランキングは、広告に係るバージョン、広告に係る商品等、広告に係る色調、設置場所、広告内の俳優・キャラクター、又は、これらの組み合わせ、などについてのランキングであればよく、特定の一又は複数の属性情報について視聴情報の生成の段階で限定されていてもよい。かかる構成により、広告に係る情報の観点でランキングを生成することが可能となり、種々の分析が可能となる利点がある。 Also, the statistical processing unit may generate various rankings regarding viewing information. For example, the statistical processing unit may be a ranking of viewing information about one or more specific attribute information, a ranking of viewing information about a plurality of advertisements, or a ranking of viewing information about information about one or more advertisements, etc. Is mentioned. The viewing information ranking for the specific one or more attribute information may be the viewing information ranking for the specific one or more attribute information such as sex, age group, fashion item type, fashion item color, etc. The target may be for one or more advertisements, or the information related to the advertisement may be limited at the stage of generating viewing information. If the viewing information about a plurality of attribute information is, for example, a plurality of attribute information such as fashion item color and gender, blue/male, red/male, black/male, blue/female, red/female, black/female It may be viewing information about a combination of, and the like, or it may be each viewing information of each attribute information of blue, red, and black and each viewing information of each attribute information of men and women. The former combination may be all combinations or some combinations. In the former case, there is an advantage that information on all combinations can be acquired, and in the latter case, there is an advantage that some information can be noticed instead of all complicated combinations. Further, such a configuration has an advantage that ranking can be generated from the viewpoint of attribute information, and various analyzes can be performed. Also, the ranking of the viewing information about the information related to one or more advertisements is the version related to the advertisement, the product related to the advertisement, the color tone related to the advertisement, the installation location, the actor/character in the advertisement, or a combination thereof. The ranking may be limited to a specific one or a plurality of attribute information at the stage of generating viewing information. With such a configuration, it is possible to generate a ranking from the viewpoint of information related to the advertisement, and there is an advantage that various analyzes can be performed.
　例えば、一の広告について興味ありの集計結果の高い順に、興味を示した人に係るファッションアイテム色を、ランキングとして生成してよい。視聴情報が視聴率の場合、視聴率の数値の対象となる人に係る情報について、分母及び分子において、特定の属性情報に限定した場合の数値を生成して、ランキングとするものであってよい。ランキングは、数値が高い順でも低い順でもよい。この場合、一の広告について、属性情報と、視聴情報との関係を整理できる利点がある。 For example, the fashion item colors related to the person who showed interest may be generated as a ranking in descending order of the aggregated result of interest for one advertisement. When the audience information is the audience rating, regarding the information about the person who is the subject of the audience rating value, a numerical value when limited to specific attribute information in the denominator and the numerator may be generated and used as a ranking. .. The ranking may be in ascending or descending numerical order. In this case, there is an advantage that the relationship between the attribute information and the viewing information can be organized for one advertisement.
　図１２は、一の広告に対して興味を示した人に係る人数の高い順に、属性情報のランキングを生成した例である。本図においては、各属性情報（例えば、男性かつ４０代など）を充足する集計された人数について、人数の多い順に、ランキングが生成されている。かかる情報によって、対象広告（例えば、ＩＤ００３）について興味を示した人々に関する情報を整理できる利点がある。 FIG. 12 is an example in which the ranking of attribute information is generated in descending order of the number of people who are interested in one advertisement. In this figure, the rankings are generated in descending order of the number of persons for the total number of persons who satisfy each attribute information (for example, male and 40s). With such information, there is an advantage that information about people who are interested in the target advertisement (for example, ID003) can be organized.
　また、統計処理部は、広告に係る情報を用いた例として、広告の設置場所に関するランキングを生成してよいし、広告の種類に関するランキングを生成してもよい。 Further, the statistical processing unit may generate a ranking regarding the place of installation of the advertisement or a ranking regarding the type of advertisement, as an example using the information regarding the advertisement.
　また、統計処理部は、複数の広告について、視聴情報についてのランキングを生成してよい。この場合、複数の広告と視聴情報を整理できる利点がある。 In addition, the statistical processing unit may generate a ranking for viewing information for a plurality of advertisements. In this case, there is an advantage that a plurality of advertisements and viewing information can be organized.
　また、統計処理部は、複数の広告と複数の属性情報を対象として、視聴情報についてのランキングを生成してよい。この場合、種々の広告、種々の属性情報において、視聴情報との関係を整理できる利点がある。複数の属性情報は、種々の階層の情報であってよい。例えば、ファッションアイテム種別としてトップス、ボトムス、という階層でもよいし、ファッションアイテム種別内のトップス内の、ワイシャツ、トレンチコート、などの下位の階層でもよい。種々の階層の情報は、同一と認識される階層を比較の対象として、ランキングに入れてもよいし、異なると認識される階層を比較の対象として、ランキングにいれてもよい。また、ランキングの対象は、排他的なものであってもよいし、重複があるものであってもよい。 Also, the statistical processing unit may generate a ranking of viewing information for a plurality of advertisements and a plurality of attribute information. In this case, there is an advantage that the relationship with the viewing information can be organized in various advertisements and various attribute information. The plurality of pieces of attribute information may be information of various layers. For example, it may be a hierarchy such as tops and bottoms as the fashion item type, or a lower hierarchy such as a shirt and a trench coat in the tops within the fashion item type. Information of various layers may be included in the ranking with the layers recognized as the same as the target of comparison, or may be included in the ranking with the layers recognized as different as the target of comparison. Moreover, the target of ranking may be exclusive or may be duplicated.
　また、上述における複数の広告は、一の企業に係るものであってよいし、複数の企業に係るものであってもよい。一の企業に係る複数の広告とは、一の企業が関与する広告であってよい。例えば、前記一の企業が作成した広告や、前記一の企業が資金を提供して作成した広告などが挙げられる。当該構成により、前記一の企業は、複数の広告の中で、人々が興味を示す広告、又は特定の属性情報を有する人々が興味を示す広告、に関する情報を収集できる利点がある。 Moreover, the plurality of advertisements described above may be related to one company or may be related to a plurality of companies. The plurality of advertisements relating to one company may be advertisements involving one company. For example, an advertisement created by the one company, an advertisement funded by the one company, and the like can be mentioned. With this configuration, the one company has an advantage that it can collect information about an advertisement that people are interested in or an advertisement that people with specific attribute information are interested in among a plurality of advertisements.
　また、複数の広告は、複数の企業に係る広告を対象としてもよい。複数の企業に係る広告は、上述の一の企業が複数の企業になった場合と同様である。この場合、例えば、広告提供の場所を提供する者や複数の広告の中から広告を選択する者に対して、複数の企業に係る広告の中で、人々が興味を示す広告、又は、特定の属性情報を有する人々が興味を示す広告、に関する情報を収集できる利点がある。 Also, multiple advertisements may target advertisements related to multiple companies. Advertising regarding a plurality of companies is the same as when the above-mentioned one company becomes a plurality of companies. In this case, for example, an advertisement in which people are interested in advertisements related to a plurality of companies, or a specific advertisement, for a person who provides a place for providing an advertisement or a person who selects an advertisement from a plurality of advertisements. There is an advantage that information about advertisements in which people who have attribute information are interested can be collected.
　また、統計処理部は、統計処理データと関連付けて、広告と関連付けられた広告想定属性情報、及び／又は、広告と関連付けられた商品等想定属性情報、を生成してよい。これにより、広告と関連性のある、広告想定属性情報及び／又は商品等想定属性情報と、広告が使用された場合において現実に人々の反応として収集された統計処理データと、を関連付けて使用することができる利点がある。 Further, the statistical processing unit may generate the advertisement assumed attribute information associated with the advertisement and/or the assumed attribute information such as a product associated with the advertisement in association with the statistically processed data. As a result, the assumed advertisement attribute information and/or estimated attribute information such as a product, which is related to the advertisement, and the statistically processed data actually collected as a reaction of people when the advertisement is used are used in association with each other. There is an advantage that can be.
　また、統計処理部は、統計処理データを表示する際に、一の広告に関する属性情報の情報と、広告想定属性情報及び／又は商品等想定属性情報と、を関連付けて表示してよい。例えば、広告ＩＤ００３が、車に関する広告であり、その広告想定属性情報が、男性かつ３０代であれば、男性かつ３０代の情報を、関連付けて表示してよい。関連付ける表示の態様としては、種々の手法であってよい。例えば、本図においては、男性かつ３０代は、ランキング内に３位として含まれているため、かかる部分を、他の属性情報とは異なる態様で、表示してもよい。本図においては図示していないが、異なる態様としては、例えば、数値又は文字の書式について、フォント、スタイル、下線、色、サイズ、文字飾り、配置、等の異なる態様であってよく、また、数値又は属性情報に係る欄や背景について、塗りつぶしやパターン等が異なる態様であってよい。かかる構成により、閲覧者は、想定属性情報に係る人と、広告に係るランキングの属性情報とを比較することで、想定属性情報の人について、検討できる利点がある。 Further, when displaying the statistically processed data, the statistical processing unit may display the information of the attribute information related to one advertisement and the assumed advertisement attribute information and/or the estimated attribute information such as a product in association with each other. For example, if the advertisement ID 003 is an advertisement regarding a car and the advertisement assumed attribute information is male and in their 30s, information about males and in their 30s may be displayed in association with each other. Various methods may be used as the mode of display associated with each other. For example, in this figure, the male and thirties are included as the third place in the ranking, and thus such a portion may be displayed in a mode different from other attribute information. Although not shown in the figure, as a different aspect, for example, different aspects such as a font, a style, an underline, a color, a size, a character decoration, an arrangement, etc., regarding a numerical value or a character format may be used. The fields and backgrounds related to the numerical values or the attribute information may have different fills, patterns, and the like. With such a configuration, the viewer has an advantage that he/she can examine the person having the assumed attribute information by comparing the person having the assumed attribute information with the attribute information of the ranking relating to the advertisement.
　また、統計処理部は、ランキングの生成に使用される、特定の一又は複数の属性情報、特定の一又は複数の広告に関する情報、及び／又は、視聴情報として生成する情報、の選択肢を提供し、選択された上記情報を取得できる機能を有してよい。かかる選択肢が提供されることにより、システムの利用者は、ランキングの生成に使用される情報を、目的に合わせて選択できる利点がある。また、統計処理部は、統計処理部は、かかる情報を取得した場合、かかる情報に合わせて、ランキングを生成してよい。かかる選択された情報に基づいてランキングを生成する機能により、目的に合わせたランキングを生成できる利点がある。 In addition, the statistical processing unit provides a selection of one or more specific attribute information, information regarding one or more specific advertisements, and/or information generated as viewing information, which is used to generate the ranking. It may have a function of acquiring the selected information. By providing such an option, the user of the system has an advantage that the information used for generating the ranking can be selected according to the purpose. Further, when the statistical processing unit acquires such information, the statistical processing unit may generate a ranking according to the information. The function of generating a ranking based on the selected information has an advantage that a ranking can be generated according to the purpose.
　なお、上述においては、統計処理部が、属性情報データベースを用いて、統計処理データを生成する手法を生成したが、属性情報データベースを用いずに、統計処理データを生成してもよい。例えば、統計処理部は、各情報に関して、情報の取得毎にアップデート可能な変数を用いて、統計処理データを生成してもよい。かかる変数は、情報処理業界においては、アキュムレータと呼ばれることもあるが、属性情報データベースなどに暫定的に記録せずに、直接、統計処理データの内容をアップデートしてよい。例えば、属性情報取得部が、広告と、興味表示情報と、属性情報と、を取得すると、統計処理部が、広告と、属性情報と、を関連付ける統計処理データ内の該当する箇所の変数の値を１アップデートする構成としてよい。 Note that, in the above, the statistical processing unit generated the method of generating statistical processing data by using the attribute information database, but the statistical processing data may be generated without using the attribute information database. For example, the statistical processing unit may generate statistical processing data for each piece of information by using a variable that can be updated each time the information is acquired. Although such a variable is sometimes called an accumulator in the information processing industry, the contents of the statistical processing data may be updated directly without temporarily recording it in the attribute information database or the like. For example, when the attribute information acquisition unit acquires the advertisement, the interest display information, and the attribute information, the statistical processing unit associates the advertisement and the attribute information with each other, and the value of the variable at the corresponding position in the statistical processing data. May be updated by 1.
　統計処理部によって生成された統計処理データは、種々のグラフ化がされてよい。グラフ化は、棒グラフ、折れ線グラフ、円グラフ、帯グラフ、ヒストグラフ、レーダチャート、散布図など、種々の手法がとられてよい。 Statistically processed data generated by the statistical processing unit may be graphed in various ways. Various techniques may be used for graphing, such as a bar graph, a line graph, a pie graph, a band graph, a histograph, a radar chart, and a scatter chart.
　例えば、図１３は、折れ線グラフの一例である。通過者数１３０１は、横軸の各時刻において、縦軸が時間と人数を乗じた数値によりどの程度しているかを示したものである。ここで単に人数のみでなく、検出された時間を乗じている理由は、人によっては足早に通り過ぎる人もいれば、ゆっくりと通り過ぎる人もおり、同じ一人であっても広告影響位置にいる時間は人によって異なるためである。また視聴率１３０２は、各広告１乃至１０について、性別の属性情報と、年齢層の属性情報と、から構成される特定の複数の属性情報について、視聴率が表示されている例である。性別は男性と女性であり、年齢層は、３５歳以下と３５歳以上で分けている。視聴率は、分母（検出された各人の時間を、検出された各人について、合計した数値）に対し、分子（人が興味を示している時間を、前記興味を示した人について、合計した数値）であってよい。また、Average（平均）を生成し、表示してよい。また、視聴率に応じて、異なる色を生成し、表示してよい。 For example, FIG. 13 is an example of a line graph. The number of passers 1301 indicates how much the vertical axis is at each time on the horizontal axis by a numerical value obtained by multiplying the time by the number of people. The reason for multiplying not only the number of people here but also the detected time is that some people pass by quickly and some pass slowly, and even the same person, This is because it varies from person to person. The audience rating 1302 is an example in which the audience rating is displayed for each of a plurality of specific attribute information including attribute information of sex and attribute information of age group for each advertisement 1 to 10. The genders are male and female, and the age groups are divided into 35 and under and 35 and over. The audience rating is the sum of the numerator (the time when a person is interested, and the person who is interested) with respect to the denominator (a value obtained by summing the detected time of each person for each detected person). Value). Also, an Average may be generated and displayed. Also, different colors may be generated and displayed according to the audience rating.
　また、統計処理部は、所定期間毎に属性情報データベースを用いて統計処理を行い、統計処理データを更新してよい。これにより、統計処理部は、新しく収集された多数の属性情報を用いて、より多数の情報に基づく信頼性の高い統計処理データを生成できる利点がある。 Also, the statistical processing unit may perform statistical processing using the attribute information database every predetermined period to update the statistical processing data. As a result, the statistical processing unit has an advantage of being able to generate highly reliable statistical processing data based on a larger number of pieces of information by using a large number of newly collected attribute information.
　次に、一実施形態における統計処理部における流れの一例を図１４を用いて説明する。まず、統計処理部は、属性情報データベースから、視聴情報の生成の対象となる情報の種類を取得する（１４０１）。視聴情報の生成の対象となる情報の種類は、例えば、特定の一又は複数の属性情報、特定の広告に係る情報等が挙げられる。次に、統計処理部は、生成すべき視聴情報に係る情報を取得する（１４０２）。視聴情報に係る情報は、例えば、人数又は数値、合計又は平均、などであってよい。次に、統計処理部は、ランキングの対象に関する情報を取得する（１４０３）。ランキングの対象に関する情報は、例えば、何についてのランキングであるのか、に関する情報であってよい。次に、統計処理部は、視聴情報の対象となる情報と視聴情報に係る情報を用いて、視聴情報を生成する（１４０４）。次に、統計処理部は、視聴情報とランキングの対象に関する情報を用いて、ランキングを生成する（１４０５）。なお、上述の順序は一例にすぎず、視聴情報を生成するための情報が収集された後は視聴情報を生成してよく、また、ランキングを生成するための情報を取得された後は、ランキングを生成してよい。
３．３．実施形態３
　一実施形態のシステムは、広告選択部を備え、広告選択部は、人予測情報を用いて、広告を選択する機能を有してよい。広告は、一定の継続的時間を有する態様となっていることが多く、広告影響位置に人々がいても、すぐに広告を切り替えられることができるとは限らない。そこで、広告影響位置に来ると予想される人が有する属性情報（本願書類において、「人予測情報」ということもある）を生成し、かかる人予測情報を使用して広告を選択することで、一定の継続的時間を有する広告を不自然なく切り替え、かつ広告影響位置にいる人に対して広告の価値を増大できる利点がある。人予測情報は、広告影響位置に来ると予想される人のうち、一定以上の人が有する属性情報であってよい。 Next, an example of the flow in the statistical processing unit in one embodiment will be described with reference to FIG. First, the statistical processing unit acquires the type of information for which viewing information is generated from the attribute information database (1401). The types of information for which the viewing information is generated include, for example, one or more specific attribute information, information regarding a specific advertisement, and the like. Next, the statistical processing unit acquires information related to viewing information to be generated (1402). The information related to the viewing information may be, for example, the number of people or a numerical value, the sum or the average, or the like. Next, the statistical processing unit acquires information regarding the ranking target (1403). The information regarding the ranking target may be, for example, information regarding what is the ranking. Next, the statistical processing unit generates viewing information by using the target information of the viewing information and the information related to the viewing information (1404). Next, the statistical processing unit generates a ranking using the viewing information and the information regarding the ranking target (1405). Note that the order described above is merely an example, and viewing information may be generated after the information for generating the viewing information has been collected, and ranking after the information for generating the ranking has been acquired. May be generated.
3.3. Embodiment 3
The system of one embodiment may include an advertisement selection unit, and the advertisement selection unit may have a function of selecting an advertisement using the person prediction information. The advertisement is often in a form having a certain duration, and even if there are people at the advertisement influence position, it is not always possible to switch the advertisement immediately. Therefore, by generating attribute information (sometimes referred to as “person prediction information” in this document) that a person expected to come to the advertisement influence position has, and using this person prediction information to select an advertisement, There is an advantage that an advertisement having a certain continuous time can be switched without any unnaturalness and the value of the advertisement can be increased for a person in an advertisement influence position. The person prediction information may be attribute information possessed by a certain number or more of the persons expected to come to the advertisement influence position.
　人予測情報は、広告影響位置の人を、所定の期間内に撮像した画像内の属性情報を用いて生成されてよい。例えば、人予測情報は、広告を選択する前の所定の時間内に、広告影響位置に来た人の平均の属性情報であってよい。これは、広告影響位置に来る人の傾向は、微小な時間差であれば、大きく異ならないという考えに基づく。例えば、都心のビル街において、平日の朝９時の時間帯と休日のお昼の時間帯とにおいて、都心のビル街を歩く人々の傾向は異なっても、平日の朝９時台の時間帯と平日の朝１０時台の時間帯とにおいて、都心のビル街を歩く人々の傾向は、類似であると考えられる。広告を選択する前の所定の時間は、例えば、広告を選択する前の、５分前からの５分間、１０分前からの１０分間、１０分前からの５分間、１５分前からの１０分間、３０分前からの３０分間、１時間前からの１時間、などであってよい。 The person prediction information may be generated using attribute information in an image obtained by capturing the person at the advertisement affected position within a predetermined period. For example, the person prediction information may be average attribute information of people who have come to an advertisement affected position within a predetermined time before selecting an advertisement. This is based on the idea that the tendency of people to come to the advertising influence position does not differ significantly if there is a small time difference. For example, in a downtown city building, even if the people walking in the downtown city area have different tendencies between the weekday morning 9 o'clock morning time and the holiday daytime hours, the weekday morning 9 o'clock morning time It is considered that the tendency of people walking in the downtown building street is similar in the time zone of 10 o'clock morning on weekdays. The predetermined time before selecting an advertisement is, for example, 5 minutes before 5 minutes, 10 minutes before 10 minutes, 5 minutes after 10 minutes, 10 minutes before 10 minutes before selecting an advertisement. It may be minutes, 30 minutes from 30 minutes, 1 hour from 1 hour, and so on.
　また、所定の期間として、平日の同一時間帯の期間、同一の週の同一時間帯の期間、などでもよい。前者は、例えば、前日の同一時間帯における属性情報の平均、所定の期間の平日の同一時間帯における属性情報の平均、などを用いてよい。後者は、例えば、前週の同一時間帯における属性情報の平均、所定の期間の同一の週の同一時間帯における属性情報の平均、などを用いてよい。要するに、所定の期間として、同様の属性情報を有する人が来る可能性ある期間を用いてよい。 Also, the predetermined period may be the same time period on weekdays, the same time period on the same week, or the like. The former may use, for example, an average of attribute information in the same time zone of the previous day, an average of attribute information in the same time zone of a weekday in a predetermined period, or the like. For the latter, for example, an average of attribute information in the same time period of the previous week, an average of attribute information in the same time period of the same week in a predetermined period, or the like may be used. In short, a period during which a person having similar attribute information may come may be used as the predetermined period.
　また、人予測情報として、広告影響位置に来る人を、その位置に来る前に撮像された画像内の属性情報を用いてもよい。その位置に来る前に撮像する手法として、例えば、広告が通路のある箇所に設置されている場合において、その個所に通じる他の場所が挙げられる。一例としては、長い地下道においては、一方向を歩く人々は、一の場所を通る人は、基本的には、その地下道にある他の位置を通ることになることから、一の場所を通る人を撮像した画像内の人の属性情報を用いて、他の場所を通る人を予測できる利点がある。 Also, as the person prediction information, it is possible to use the attribute information in the image captured before the person who comes to the advertisement affected position comes to the position. As a method of capturing an image before reaching the position, for example, when an advertisement is installed at a place having a passage, another place that leads to the place can be cited. As an example, in a long underpass, a person who walks in one direction, a person who goes through one place basically goes through another position in the underpass, so a person who goes through one place There is an advantage that a person passing through another place can be predicted by using the attribute information of the person in the captured image.
　なお、人予測情報は、複数の人々が各々有する属性情報の平均に基づいてよい。広告が提示されている時間内には複数の人が通りうるため、複数の人の平均的な属性に合わせることで広告に興味を引く人の人数と程度が高まる可能性が高くなる利点がある。例えば、平日の朝９時に、都心のビルの地下道における人予測情報は、ファッションアイテム種別がスーツで、ファッションアイテム色がグレーの属性情報、などであってよい。 Note that the person prediction information may be based on the average of attribute information held by a plurality of people. Multiple people can pass during the time the advertisement is presented, so matching the average attributes of multiple people has the advantage of increasing the number and degree of people who are interested in the advertisement. .. For example, at 9 o'clock in the morning on weekdays, the person prediction information in the underpass of the city center building may be attribute information in which the fashion item type is suit and the fashion item color is gray.
　広告選択部は、人予測情報と統計処理データに基づいて、提供される広告を選択してよい。人予測情報の一例としては、図１７が挙げられる。なお、本図においては、和集合、積集合を用いて、特定の複数の属性情報を表したが、種々の手法であってよい。要するに、属性情報として生成された情報であればよい。 The advertisement selection unit may select the advertisement to be provided based on the person prediction information and the statistical processing data. FIG. 17 is an example of the person prediction information. In this figure, a plurality of specific attribute information is represented by using a union set and an intersection set, but various methods may be used. In short, the information may be any information generated as the attribute information.
　広告選択部は、一又は複数の広告の中から、前記一又は複数の広告に係る統計処理データと、人予測情報とを用いて、広告を選択してよい。広告選択部は、一又は複数の広告の中から、前記一又は複数の広告に係る統計処理データを用いて、人予測情報内の属性情報と所定の関係にある属性情報と関連付けられた広告を選択してよい。ここで、一の属性情報と他の属性情報が所定の関係であること（本願書類において、「所定の属性情報関係」ということもある。）は、同一又は類似の関係であってもよいし、包含関係であってもよいし、又は、これらの組み合わせであってもよい。また、属性情報関係の強さとは、類似の度合いの強さや、包含関係の包含の程度の強さであってよい。また、同一又は類似の関係や包含関係は、種々の手法により判定されてよい。これらは、一又は複数の属性情報は、例えば論理式で表現されうるものであるため、論理式間における、関係の有無や、関係の程度を判定する技術を用いて、判定されてよい。 The advertisement selection unit may select an advertisement from one or more advertisements by using the statistically processed data relating to the one or more advertisements and the person prediction information. The advertisement selecting unit selects an advertisement associated with attribute information having a predetermined relationship with the attribute information in the person prediction information by using the statistically processed data related to the one or more advertisements from among the one or more advertisements. You may choose. Here, the fact that one attribute information and another attribute information have a predetermined relationship (sometimes referred to as “predetermined attribute information relationship” in this document) may be the same or similar relationship. , Inclusive relations, or a combination thereof. Further, the strength of the attribute information relationship may be the strength of the degree of similarity or the strength of the degree of inclusion of the inclusion relationship. Further, the same or similar relationship and inclusion relationship may be determined by various methods. Since one or a plurality of pieces of attribute information can be expressed by, for example, a logical expression, these may be determined using a technique of determining the presence or absence of a relationship between logical expressions and the degree of the relationship.
　人予測情報内の属性情報と所定の属性情報関係にある属性情報と関連付けられた広告を選択する趣旨は、人予測情報に係る属性情報と、統計処理データに係る属性情報の関係性が高いほど、広告影響位置にいる人に対して効果的な広告を提供できる可能性が高まる利点にある。 The purpose of selecting an advertisement associated with attribute information having a predetermined attribute information relationship with the attribute information in the person prediction information is that the higher the relationship between the attribute information related to the person prediction information and the attribute information related to the statistical processing data, the higher the relationship. It has the advantage of increasing the possibility of providing effective advertisements to those who are in the position of influence of advertisements.
　また、広告選択部は、統計処理データ内で、人予測情報内の属性情報と所定の関係にある属性情報と関連付けられた広告のうち、上述の視聴情報において、人々の示す興味の程度が高い広告を選択してよい。この場合、一般的に、人々の示す興味の程度が高い広告を選択できる利点がある。 Further, the advertisement selection unit has a high degree of interest indicated by people in the above-mentioned viewing information among the advertisements associated with the attribute information having a predetermined relationship with the attribute information in the person prediction information in the statistical processing data. You may choose an ad. In this case, generally, there is an advantage that an advertisement having a high degree of interest of people can be selected.
　また、広告選択部は、統計処理データ内で、人予測情報内の属性情報と同一又は類似の属性情報と関連付けられた広告のうち、後述する視聴率が高い広告を選択してよい。この場合、高い視聴率を得られる広告であるため、同一時間帯の広告利用料を支払う場合において、広告に係る企業は、より効率的に広告を用いることができる利点がある。 Further, the advertisement selection unit may select an advertisement having a high audience rating, which will be described later, from the advertisements associated with the attribute information that is the same as or similar to the attribute information in the person prediction information in the statistical processing data. In this case, since the advertisement has a high audience rating, there is an advantage that the company relating to the advertisement can use the advertisement more efficiently when paying the advertisement usage fee in the same time zone.
　また、上述において、広告選択部は、更新された統計処理データを用いて、広告を選択してよい。これにより、より信頼性の高い更新された統計処理データに基づいて、より適切な広告を選択できる利点がある。また、広告提供部は、前記更新された統計処理データに基づいて選択された広告を提供してよい。この場合、より多数の属性情報に基づいて、多数の人々に興味を引く可能性のある広告を提供できる利点がある。 Further, in the above, the advertisement selection unit may select an advertisement by using the updated statistical processing data. This has the advantage of being able to select better ads based on more reliable and updated statistically processed data. In addition, the advertisement providing unit may provide the advertisement selected based on the updated statistical processing data. In this case, there is an advantage that it is possible to provide an advertisement that may be of interest to a large number of people based on a larger amount of attribute information.
　また、広告選択部は、広告属性情報データベース内の広告想定属性情報と同一又は類似の属性情報に係る広告を選択してよい。この場合、広告が想定する属性情報に係る人に対する広告を選択できる利点がある。また、広告提供部は、前記広告属性情報データベース内の広告想定属性情報と同一又は類似の属性情報に係る広告を提供してよい。この場合、より広告が想定する属性情報に係る人に対して、現実に広告を提供できる利点がある。 Further, the advertisement selection unit may select an advertisement related to the same or similar attribute information as the advertisement assumed attribute information in the advertisement attribute information database. In this case, there is an advantage that an advertisement for a person related to attribute information assumed by the advertisement can be selected. In addition, the advertisement providing unit may provide an advertisement related to the same or similar attribute information as the assumed advertisement attribute information in the advertisement attribute information database. In this case, there is an advantage that the advertisement can be actually provided to the person related to the attribute information assumed by the advertisement.
　また、広告選択部は、複数の広告から、ランダムに選択してもよい。 Also, the advertisement selection unit may randomly select from a plurality of advertisements.
　次に、一実施形態において、広告選択部を用いた流れの一例を、図１５を用いて説明する。まず、画像取得部は、広告がある場合における広告影響位置にいる人の画像を撮像する（ステップ１）。次に、属性情報取得部は、撮像された画像から属性情報を生成する（ステップ２）。次に、属性情報取得部は、属性情報から、人予測情報を生成する（ステップ３）。次に、広告選択部は、人予測情報と、予め備えた属性情報データベースと、から広告を選択する（ステップ４）。次に、広告提供部は、選択された広告を提供する（ステップ５）。 Next, in one embodiment, an example of the flow using the advertisement selection unit will be described with reference to FIG. First, the image acquisition unit captures an image of a person at an advertisement affected position when there is an advertisement (step 1). Next, the attribute information acquisition unit generates attribute information from the captured image (step 2). Next, the attribute information acquisition unit generates person prediction information from the attribute information (step 3). Next, the advertisement selection unit selects an advertisement from the person prediction information and the attribute information database provided in advance (step 4). Next, the advertisement providing unit provides the selected advertisement (step 5).
　広告選択部を用いた一例を説明したが、他の流れがあってもよい。例えば、画像取得の際に、広告提供部が広告を提供していてもよい。また、属性情報取得部が、興味表示情報を取得してもよい。 Although an example using the advertisement selection unit has been described, there may be other flows. For example, the advertisement providing unit may provide the advertisement when acquiring the image. Also, the attribute information acquisition unit may acquire the interest display information.
３．４．実施形態４
　一実施形態のシステムは、対比部を備えてよい。対比部は、複数の視聴情報について、対比する機能を有してよい。 3.4. Embodiment 4
The system of an embodiment may include a contrast unit. The comparison unit may have a function of comparing a plurality of viewing information.
　対比の態様は種々であってよい。例えば、対比する対象の視聴情報を、夫々、生成してもよいし、これを表示してもよい。また、複数の視聴情報のうちの、二つの視聴情報の割合を生成してもよいし、前記二つの視聴情報の割合を表示してもよい。 The manner of comparison may vary. For example, the viewing information of the comparison target may be generated or displayed. Further, the ratio of two viewing information to the plurality of viewing information may be generated, or the ratio of the two viewing information may be displayed.
　一実施形態のシステムは、複数の広告のうちランダムに提供された広告に基づく視聴率（本願書類において、「ランダム視聴率」ということもある）と、人予測情報と想定属性情報とを用いて提供された広告に基づく視聴率（「想定視聴率」ということもある）と、人予測情報と統計処理データを用いて提供された広告に基づく視聴率（「改善視聴率」ということもある）と、を対比する対比部を備えてよい。また、前記対比部は、ランダム視聴率と、想定視聴率と、改善視聴率とを生成してよい。また、前記対比部は、ランダム視聴率と、想定視聴率と、改善視聴率とを生成し、情報処理装置上で表示できるよう情報処理装置に向けて送信してよい。また、前記対比部は、ランダム視聴率と、想定視聴率と、改善視聴率とを情報処理装置において表示させてよい。 The system of one embodiment uses an audience rating (also referred to as “random audience rating” in this document) based on an advertisement randomly provided from among a plurality of advertisements, human prediction information, and assumed attribute information. Audience rate based on advertisements provided (sometimes referred to as "expected audience rate") and audience rate based on advertisements provided using human prediction information and statistical processing data (sometimes referred to as "improved audience rate") And a comparing section for comparing Further, the comparing unit may generate a random audience rating, an assumed audience rating, and an improved audience rating. Further, the comparing unit may generate a random audience rating, an assumed audience rating, and an improved audience rating, and transmit the random audience rating, the assumed audience rating, and the improved audience rating to the information processing apparatus so that they can be displayed on the information processing apparatus. Further, the comparison unit may display a random audience rating, an assumed audience rating, and an improved audience rating on the information processing device.
　改善視聴率は、統計処理データの情報の程度に応じてよい。情報の程度は、属性情報データベースにおける属性情報の種類や属性情報の種類の量に応じてもよいし、属性情報データベースの基となる画像内の人の量に応じてもよい。前者の属性情報の種類とは、例えば、性別、年齢層、ファッションアイテム種別、ファッションアイテム色、ファッションアイテムアクセサリ、ファッションアイテム着丈などであってよい。また、一の改善視聴率が他の改善視聴率よりも属性情報の種類の量が多いとは、例えば、一の改善視聴率が性別とファッションアイテム種別に基づく属性情報を属性情報データベース内から用いて人予測情報との関係を生成するのに対し、他の改善視聴率が性別と年齢層とファッションアイテム色とファッションアイテムアクセサリに基づく属性情報を属性情報データベース内から用いて人予測情報との関係を生成する場合などをいう。改善視聴率に係る広告の人予測情報において使用される属性情報の種類の量が多いほど、広告に影響を与える位置に来る人の属性情報の一致度が高まるため、より広告に興味が高まる可能性が高くなる利点がある。特に、属性情報として、ファッションアイテム情報に係る属性情報の種類を多くする場合、人の好みを反映しうるファッションアイテムの情報を用いることができるため、ファッションに関連する商品等人の好みが影響しやすいより商品等の広告について、適切な広告を選定できる可能性が高くなる利点がある。例えば、ファッションアイテムに係る商品等の他、化粧品、時計などのアパレル界隈における商品等は、人の好みに影響を受けるため、人の好みに訴える広告を適切に選定できる可能性が高くなる利点がある。また、広告は、これらのものに限らず、多様な業界における広告であってよい。例えば、現在においても、携帯電話など多数の人に使用される消費物は、性別、年齢層、生活スタイルのそれぞれにアピールできるように、多様な広告を提供している現在において、これらを、より個々の人々に合わせて選択できる可能性が高くなる利点がある。 The improved audience rating may depend on the degree of information in the statistically processed data. The degree of information may depend on the type of attribute information and the amount of type of attribute information in the attribute information database, or may depend on the amount of people in the image underlying the attribute information database. The former type of attribute information may be, for example, gender, age group, fashion item type, fashion item color, fashion item accessory, fashion item dress length, and the like. In addition, when one improved audience rating has a larger amount of types of attribute information than other improved audience ratings, for example, one improved audience rating uses attribute information based on gender and fashion item type from within the attribute information database. Relationship with the person prediction information, while other improved audience ratings use attribute information based on gender, age group, fashion item color, and fashion item accessory from within the attribute information database. When generating a. The greater the number of types of attribute information used in the person prediction information of the advertisement related to the improved audience rating, the higher the degree of coincidence of the attribute information of the person who comes to the position that affects the advertisement, which may increase the interest in the advertisement. There is an advantage that the property becomes high. In particular, when the number of types of attribute information related to fashion item information is increased as attribute information, the information of the fashion item that can reflect the preference of the person can be used, so that the person's preference such as a product related to fashion influences. There is an advantage that it is more likely that an appropriate advertisement can be selected for an advertisement such as a product rather than being easy. For example, in addition to products related to fashion items, cosmetics and products in apparel neighborhoods such as watches are influenced by people's tastes, so there is an advantage that it is possible to appropriately select advertisements appealing to people's tastes. is there. Further, the advertisement is not limited to these and may be advertisement in various industries. For example, even today, consumer products such as mobile phones are provided with various advertisements so that they can be appealed to by gender, age group, and lifestyle. It has the advantage of increasing the likelihood that you will be able to choose according to individual people.
　また、改善視聴率は、特定の期間に収集された属性情報に基づく統計処理データを用いてもよい。特定の期間に収集された属性情報に基づく統計処理データにより、例えば、古い期間に係る情報を対象としないなどの利点がある。 Further, for the improved audience rating, statistical processing data based on the attribute information collected in a specific period may be used. The statistically processed data based on the attribute information collected in a specific period has an advantage that information related to an old period is not targeted.
　図１８は、特定の一の広告について、対比部が生成して対比したランダム視聴率、想定視聴率、改善視聴率、を図示する例である。それぞれ、３０％、４０％、８０％とされている。想定視聴率は、人予想情報を用いて広告の想定した人に対して提供しているため、ランダム視聴率と比較すると視聴率が向上していることを示している。また、改善視聴率は、興味表示情報を含む属性情報を利用して、実際の人々の反応の情報を利用して、広告を選択しているため、単に予想した想定属性情報よりもより人々が広告に対して興味をもち、視聴率が向上されていることが示されている。想定視聴率／ランダム視聴率は、ランダム視聴率と想定視聴率の比であり、想定視聴率がランダム視聴率の１．３倍ほど視聴率が向上していることを示す一例である。想定視聴率／改善視聴率は、想定視聴率と改善視聴率の比であり、改善視聴率が想定視聴率の２倍ほど視聴率が向上していることを示す一例である。改善視聴率／ランダム視聴率は、ランダム視聴率と改善視聴率の比であり、改善視聴率がランダム視聴率の２．６７倍ほど視聴率が向上していることを示す一例である。複数の視聴率を対比する対比部により、複数の視聴率の変化を理解できる利点がある。 FIG. 18 is an example showing a random audience rate, an assumed audience rating, and an improved audience rating generated and compared by the comparison unit for one specific advertisement. It is set to 30%, 40%, and 80%, respectively. Since the assumed audience rating is provided to the person assumed to be the advertisement by using the person forecast information, it indicates that the audience rating is improved as compared with the random audience rating. In addition, the improved audience rating uses attribute information including interest display information and information on the reaction of actual people to select advertisements, so that more people are expected than the expected attribute information. It has been shown that they are interested in advertisements and have an improved audience rating. The assumed audience rating/random audience rating is a ratio between the random audience rating and the assumed audience rating, and is an example showing that the audience rating is improved by about 1.3 times the random audience rating. The assumed audience rating/improved audience rating is a ratio of the assumed audience rating and the improved audience rating, and is an example showing that the improved audience rating is twice as high as the assumed audience rating. The improved audience rating/random audience rating is a ratio of the random audience rating and the improved audience rating, and is an example showing that the improved audience rating is improved by about 2.67 times the random audience rating. The comparison unit that compares a plurality of audience ratings has the advantage of being able to understand changes in a plurality of audience ratings.
　次に、一実施形態において、対比部を用いた流れの一例を、図１６を用いて説明する。まず、広告提供部は、ランダムに選択された広告を表示する（ステップ１）。画像取得部は、前記広告が表示中に、前記広告の広告影響位置における人を撮像する（ステップ２）。属性情報取得部は、撮像された画像から興味表示情報を含む属性情報を生成し、属性情報データベースに記憶する（ステップ３）。統計処理部は、属性情報データベースから、視聴情報を生成する（ステップ４）。次に、広告選択部は、人予測情報と想定属性情報とを用いて、広告を選択する（ステップ５）。次に、広告提供部は、選択された広告を提供する（ステップ６）。次に、前記広告が表示中に、前記広告の広告影響位置における人を撮像する（ステップ７）。属性情報取得部は、撮像された画像から興味表示情報を含む属性情報を生成し、属性情報データベースに記憶する（ステップ８）。統計処理部は、属性情報データベースから、視聴情報を生成する（ステップ９）。次に、広告選択部は、人予測情報と属性情報データベースとを用いて、広告を選択する（ステップ１０）。次に、広告提供部は、選択された広告を提供する（ステップ１１）。次に、前記広告が表示中に、前記広告の広告影響位置における人を撮像する（ステップ１２）。属性情報取得部は、撮像された画像から興味表示情報を含む属性情報を生成し、属性情報データベースに記憶する（ステップ１３）。統計処理部は、属性情報データベースから、視聴情報を生成する（ステップ１４）。 Next, in one embodiment, an example of the flow using the comparison unit will be described with reference to FIG. First, the advertisement providing unit displays a randomly selected advertisement (step 1). While the advertisement is being displayed, the image acquisition unit captures a person at the position affected by the advertisement (step 2). The attribute information acquisition unit generates attribute information including interest display information from the captured image and stores it in the attribute information database (step 3). The statistical processing unit generates viewing information from the attribute information database (step 4). Next, the advertisement selection unit selects an advertisement using the person prediction information and the assumed attribute information (step 5). Next, the advertisement providing unit provides the selected advertisement (step 6). Next, while the advertisement is being displayed, a person at the position affected by the advertisement of the advertisement is imaged (step 7). The attribute information acquisition unit generates attribute information including interest display information from the captured image and stores it in the attribute information database (step 8). The statistical processing section generates viewing information from the attribute information database (step 9). Next, the advertisement selection unit selects an advertisement using the person prediction information and the attribute information database (step 10). Next, the advertisement providing unit provides the selected advertisement (step 11). Next, while the advertisement is being displayed, a person at the position affected by the advertisement of the advertisement is imaged (step 12). The attribute information acquisition unit generates attribute information including interest display information from the captured image and stores it in the attribute information database (step 13). The statistical processing section generates viewing information from the attribute information database (step 14).
　上述の流れにおいては、ランダムの広告の表示、想定属性情報を利用して選択された広告の表示、改善属性情報を利用して選択された広告の表示、を順次行った上で対比する一例を示したが、対比部を用いた一例は、上述に限られない。上述の３つの表示に順序は適宜入れ替え可能であり、また、３つの表示に代えて２つの表示でもよいし、４つ以上でもよい。４つ以上の場合において、上記３つの形式を繰り返してもよいし、他の想定属性情報や他の改善属性情報を用いてもよい。改善属性情報は、上述のとおり、利用する属性情報に応じて変更されてよい。 In the above flow, an example in which a random advertisement is displayed, an advertisement selected using the assumed attribute information, and an advertisement selected using the improvement attribute information are sequentially displayed and then compared with each other However, the example using the comparison unit is not limited to the above. The order of the above three displays can be changed as appropriate, and two displays may be used instead of the three displays, or four or more displays may be used. In the case of four or more, the above three formats may be repeated, or other assumed attribute information or other improvement attribute information may be used. The improvement attribute information may be changed according to the attribute information used, as described above.
　一実施形態のシステムは、ランダムに提供された広告に基づく視聴率と、人予測情報と広告想定属性情報とを用いて提供された広告に基づく視聴率と、人予測情報と統計処理データを用いて提供された広告に基づく視聴率と、を対比する比較部を備えてよい。 A system according to one embodiment uses an audience rating based on an advertisement that is randomly provided, an audience rating based on an advertisement that is provided by using person prediction information and advertisement assumed attribute information, and person prediction information and statistical processing data. A comparison unit may be provided that compares the audience rating based on the advertisement provided by the user.
　一実施形態のシステムは、
　視聴率生成部が、
　　第１広告が表示中の第１画像に係る第１視聴率を生成し、
　　第２広告が表示中の第２画像に係る第２視聴率を生成し、
　前記対比部は、
　前記第１視聴率と前記第２視聴率とを対比してよい。 The system of one embodiment is
The audience rating generator
Generate a first audience rating for the first image being displayed by the first advertisement,
Generate a second audience rating for the second image being displayed by the second advertisement,
The contrasting part
The first audience rating and the second audience rating may be compared.
　一実施形態のシステムは、
第１広告を提供する広告提供部と、
前記第１広告について広告影響位置にいる一又は複数の人を撮影する撮像部と、
前記撮像部において撮像された第１撮像画像を取得する画像取得部と、
前記第１撮像画像内における一又は複数の人から属性情報と、前記第１撮像画像内における一又は複数の人のうち、前記第１広告に興味を示した一又は複数の人について、興味表示情報を取得する属性情報取得部と、
前記第１広告と、一の人に係る属性情報と、前記一の人に係る前記興味表示情報と、を関連付けて属性情報データベースに記憶する記憶部と、
前記属性情報データベースを用いて、統計処理データを生成する統計処理部と、
前記統計処理データを用いて、一又は複数の視聴率を生成する視聴率生成部と、
前記一又は複数の視聴率を対比する対比部と、
を備えるシステムであってよい。 The system of one embodiment is
An advertisement providing unit that provides the first advertisement,
An imaging unit that photographs one or more people at the position affected by the advertisement for the first advertisement, and
An image acquisition unit that acquires a first captured image captured by the image capturing unit;
Attribute information from one or more people in the first captured image, and interest display for one or more people who are interested in the first advertisement among one or more people in the first captured image. An attribute information acquisition unit that acquires information,
A storage unit that stores the first advertisement, attribute information related to one person, and interest display information related to the one person in an attribute information database in association with each other.
Using the attribute information database, a statistical processing unit for generating statistical processing data,
An audience rating generation unit that generates one or more audience ratings using the statistically processed data;
A comparison unit for comparing the one or more audience ratings,
It may be a system provided with.
　一実施形態のシステムは、第１広告について広告影響位置にいる一又は複数の人を撮影する撮像部と、前記画像取得部と、前記属性情報取得部と、前記記憶部と、前記統計処理部と、前記視聴率生成部と、前記対比部と、を備えるシステムであってよい。 The system of one embodiment is an imaging part which picturizes one or a plurality of persons in an advertising influence position about the 1st advertisement, the image acquisition part, the attribute information acquisition part, the storage part, and the statistical processing part. And the audience rating generation unit and the comparison unit.
　一実施形態のシステムは、第１広告と係る第１撮像画像を取得する画像取得部と、前記属性情報取得部と、前記記憶部と、前記統計処理部と、前記視聴率生成部と、前記対比部と、を備えるシステムであってよい。 A system according to an embodiment is an image acquisition unit that acquires a first captured image related to a first advertisement, the attribute information acquisition unit, the storage unit, the statistical processing unit, the audience rating generation unit, and And a comparison unit.
　一実施形態のシステムは、属性情報データベースを記憶する記憶部と、前記統計処理部と、前記視聴率生成部と、前記対比部と、を備えるシステムであってよい。 The system of one embodiment may be a system including a storage unit for storing an attribute information database, the statistical processing unit, the audience rating generation unit, and the comparison unit.
　一実施形態のシステムは、属性情報データベースに基づいて統計処理データを生成する統計処理部と、前記視聴率生成部と、前記対比部と、を備えるシステムであってよい。 The system of one embodiment may be a system including a statistical processing unit that generates statistical processing data based on an attribute information database, the audience rating generation unit, and the comparison unit.
　一実施形態のシステムは、統計処理データを用いて、一又は複数の視聴率を生成する視聴率生成部と、前記対比部と、を備えるシステムであってよい。 The system of one embodiment may be a system including an audience rating generation unit that generates one or a plurality of audience ratings using statistical processing data, and the comparison unit.
　一実施形態のシステムは、視聴率生成部が生成した一又は複数の視聴率を対比する記対比部、を備えるシステムであってよい。 The system according to one embodiment may be a system including a recording and comparing unit that compares one or a plurality of audience ratings generated by the audience rating generating unit.
　一実施形態のシステムは、
　第１広告に係る広告影響位置にいる複数の人が撮像された第１撮像画像を取得する取得部と、
　前記第１撮像画像内における複数の人について、前記第１広告に対する興味を示した人と示さない人の双方について、属性情報を生成する属性情報生成部と、
　前記第１広告と、前記属性情報とを関連付けてデータベースに記憶する記憶部と、
を備えるシステムであってよい。この場合、本実施形態のシステムは、広告に対して興味を示した人にとどまらず、興味を示していない人に係る情報も整理できる利点がある。 The system of one embodiment is
An acquisition unit that acquires a first captured image in which a plurality of persons in the advertisement affected position related to the first advertisement are captured;
An attribute information generation unit that generates attribute information for a plurality of people in the first captured image, both for those who show interest in the first advertisement and for those who do not.
A storage unit that associates the first advertisement with the attribute information and stores it in a database.
It may be a system provided with. In this case, the system of the present embodiment has an advantage that not only the person who is interested in the advertisement but also the information related to the person who is not interested in the advertisement can be organized.
　一実施形態のシステムは、
　広告が提供されていない状況において、広告が設置された場合に広告影響位置にいる複数の人を特定の期間に撮像された第１撮像画像内における複数の人に係る属性情報から、広告影響位置と前記特定の期間における、属性情報を含む人予測情報を生成する生成部、
を備えるシステムであってよい。この場合、本実施形態のシステムは、広告が設置されていなくとも、当該広告影響位置にいる人に係る属性情報に基づく人予測情報を生成できる利点がある。 The system of one embodiment is
In the situation where the advertisement is not provided, the advertisement influence position is based on the attribute information related to the plurality of people in the first captured image in which the multiple people in the advertisement influence position are imaged in a specific period when the advertisement is installed. And a generation unit that generates person prediction information including attribute information in the specific period,
It may be a system provided with. In this case, the system of the present embodiment has an advantage that the person prediction information based on the attribute information related to the person at the advertisement influence position can be generated even if the advertisement is not installed.
　一実施形態のシステムは、
　第１広告に係る広告影響位置にいる複数の人を特定の期間に撮像された第１撮像画像内における複数の人に係る属性情報から、前記第１広告に係る広告影響位置と前記特定の期間における、属性情報を含む人予測情報を生成する生成部、
を備えるシステムであってよい。この場合、本実施形態のシステムは、第１広告が提供された状況において、属性情報を取得しつつ、人予測情報を生成できる利点がある。 The system of one embodiment is
From the attribute information related to a plurality of people in the first captured image obtained by capturing a plurality of people in the advertisement influence position related to the first advertisement in a specific period, the advertisement influence position related to the first advertisement and the specific period , A generation unit that generates person prediction information including attribute information,
It may be a system provided with. In this case, the system of the present embodiment has an advantage of being able to generate person prediction information while acquiring attribute information in the situation where the first advertisement is provided.
　一実施形態のシステムは、
　第１広告に係る広告影響位置にいる複数の人を特定の期間に撮像された第１撮像画像内における複数の人に係る属性情報から、前記第１広告に係る広告影響位置と前記特定の期間における、属性情報を含む人予測情報を生成する生成部と、
　前記第１撮像画像内における複数の人に係る属性情報から、興味表示情報を含む属性情報を取得する属性情報取得部と、
を備えるシステムであってよい。この場合、本実施形態のシステムは、第１広告が提供された状況において、興味表示情報を含む属性情報を取得して第１広告に係る広告影響位置にいる人についての情報を取得し、かつ、人予測情報を生成できる利点がある。 The system of one embodiment is
From the attribute information related to a plurality of people in the first captured image obtained by capturing a plurality of people in the advertisement influence position related to the first advertisement in a specific period, the advertisement influence position related to the first advertisement and the specific period And a generation unit that generates person prediction information including attribute information,
An attribute information acquisition unit that acquires attribute information including interest display information from attribute information relating to a plurality of people in the first captured image.
It may be a system provided with. In this case, the system of the present embodiment acquires the attribute information including the interest display information in the situation where the first advertisement is provided, acquires the information about the person who is in the advertisement influence position related to the first advertisement, and There is an advantage that the person prediction information can be generated.
　一実施形態のシステムは、
　前記第１広告に対して、前記興味を示す複数の人に関する属性情報を含む前記第１データベースを用いて第１統計情報を生成する統計処理部、
を備えた上述のシステムであってよい。 The system of one embodiment is
A statistical processing unit that generates, for the first advertisement, first statistical information using the first database that includes attribute information about a plurality of people who are interested.
The above-described system may be provided.
　一実施形態のシステムは、
　前記第１データベースを用いて、表示する第２広告を選択する選択部、
を備えた上述のシステムであってよい。 The system of one embodiment is
A selection unit for selecting a second advertisement to be displayed using the first database;
The above-described system may be provided.
　一実施形態のシステムは、
前記取得部は、選択された前記第２広告が表示中に撮像された第２撮像画像を取得し、
前記生成部は、前記第２撮像画像内において前記第２広告に興味を示した人に関する属性情報を生成し、
前記記憶部は、表示中の前記第２広告と、前記第２撮像画像内において前記広告に興味を示した人に関する属性情報を関連付けて第２データベースに記憶する、
上述のシステムであってよい。 The system of one embodiment is
The acquisition unit acquires a second captured image captured while the selected second advertisement is displayed,
The generation unit generates attribute information about a person who is interested in the second advertisement in the second captured image.
The storage unit stores the second advertisement being displayed in the second database in association with attribute information about a person who has shown an interest in the advertisement in the second captured image.
It may be the system described above.
　一実施形態のシステムは、
　前記第１広告は、ランダムに選択された広告であり、
　前記統計処理部は、前記第２データベースを用いて、統計情報を生成する、
上述のシステムであってよい。 The system of one embodiment is
The first advertisement is a randomly selected advertisement.
The statistical processing unit generates statistical information using the second database,
It may be the system described above.
３．５．実施形態５
　一実施形態のシステムは、広告についての、いわばプラットフォームを提供してよい。プラットフォームは、一又は複数の広告場所提供者と、一又は複数の広告提供者と、の間に立つ意味を示すものである。なお、かかるプラットフォームは、広告提供者システムと広告場所システムとの間の情報を全て管理してもよいし、広告提供者システムと広告場所システムとの間の情報を全て管理しなくともよい。プラットフォームであっても、広告提供者システムと広告場所システムとの間で、直接的に情報をやり取りをされる状況を排除するものではない。広告提供者システムと広告場所システムとの間において、一実施形態のシステムは、最初の情報のやり取りの提供や、必要に応じて情報を提供するなど、種々の態様情報を提供してよい。広告場所システムと接続可能とされたシステムにより、広告が提供される場所における情報を、広告提供者が広告について判断する際の有益な情報を整理して提供できる利点がある。 3.5. Embodiment 5
The system of one embodiment may provide, so to speak, a platform for advertising. The platform represents the meaning that stands between one or more advertising location providers and one or more advertising providers. It should be noted that such a platform may manage all the information between the advertisement provider system and the advertisement place system, or may not manage all the information between the advertisement provider system and the advertisement place system. Even the platform does not exclude the situation where information is directly exchanged between the advertisement provider system and the advertisement location system. Between the advertisement provider system and the advertisement place system, the system of one embodiment may provide various aspects of information, such as providing initial information exchange and providing information as needed. The system that can be connected to the advertisement place system has an advantage that the information in the place where the advertisement is provided can be organized and provided as useful information when the advertisement provider makes a decision about the advertisement.
　図１９は、一実施形態のシステムに係るプラットフォームを示す図である。本図は、本願発明の一実施形態のシステム（１９００）と、広告場所システムＰ１（１９０１）・Ｐ２（１９０２）・Ｐ３（１９０３）と、広告提供者システムＡ１（１９０４）・Ａ２（１９０５）・Ａ３（１９０６）とが、図示されている。本願発明の一実施形態のシステムを、単に、システムと呼ぶことがある。これらは、本図のとおり、電気通信回線で接続可能とされていてよい。システムと広告提供者システムとの間、システムと広告場所システムとの間には、適宜インターネットなどが介在してもよいし、共有ケーブル、専用ケーブル等で接続されていてよい。システムが、広告提供者システム、広告場所システムと、情報のやり取りが可能であればよい。 FIG. 19 is a diagram showing a platform according to the system of one embodiment. This figure shows a system (1900) according to an embodiment of the present invention, an advertisement place system P1 (1901), P2 (1902), P3 (1903), and an advertisement provider system A1 (1904), A2 (1905). A3 (1906) is shown. The system of one embodiment of the present invention may be simply referred to as a system. These may be connectable by a telecommunication line as shown in the figure. The Internet and the like may be appropriately interposed between the system and the advertisement provider system, and between the system and the advertisement place system, or may be connected by a shared cable, a dedicated cable, or the like. It is sufficient that the system can exchange information with the advertisement provider system and the advertisement place system.
　広告場所提供システムは、一又は複数の広告提供装置と、前記一又は複数の広告提供装置の各広告影響位置を撮像する一又は複数の撮像装置と、を含むものであってよい。上述の図１乃至図４で例示したように、広告場所提供システムとしての情報処理装置は含まない構成であってもよいし（例えば、図２と図４の、撮像装置２０１ａ・２０１ｂ・４０１ａ、広告提供装置２０２ａ・２０２ｂ・４０２ａ）、広告場所提供システムとしての情報処理装置を含む構成（例えば、図３のシステム３０３ａ・３０３ｂ・３０３ｃ・４０３ｂ）であってもよい。前者の場合、広告場所提供システムは、広告提供装置と、前記広告提供装置に係る広告影響位置を撮像する撮像装置と、の総称であり、後者の場合、広告場所提供システムは、広告提供装置と、前記広告提供装置に係る広告影響位置を撮像する撮像装置と、これらと直接的又は間接的に情報を伝達可能な一又は複数の情報処理装置と、の総称であってよい。 The advertisement place providing system may include one or a plurality of advertisement providing apparatuses and one or a plurality of image capturing apparatuses that capture the advertisement affected positions of the one or more advertisement providing apparatuses. As illustrated in FIG. 1 to FIG. 4 described above, the information processing device as the advertisement place providing system may not be included (for example, the imaging devices 201a, 201b, and 401a in FIG. 2 and FIG. The advertisement providing devices 202a, 202b, 402a) and the configuration including the information processing device as the advertisement place providing system (for example, the systems 303a, 303b, 303c, 403b in FIG. 3) may be used. In the former case, the advertisement place providing system is a generic term for the advertisement providing device and the image pickup device for picking up an image of the advertisement affected position of the advertisement providing device, and in the latter case, the advertisement place providing system is the advertisement providing device. It may be a generic term of an image pickup device that picks up an image of an advertisement affected position related to the advertisement providing device, and one or a plurality of information processing devices that can directly or indirectly transmit information to them.
　また、広告場所提供システムは、複数の広告提供装置に対し、前記複数の広告提供装置に係る各広告影響位置の一を撮像する撮像装置によって、前記複数の広告提供装置が夫々提供する広告の影響の情報を取得する構成とされてもよい。この場合、前記一を撮像する撮像装置で得られた情報を、その周辺に係る広告提供装置の広告影響位置の情報の代表とすることで、計算を単純にできる利点がある。 In addition, the advertisement place providing system has an influence of an advertisement provided by each of the plurality of advertisement providing devices by an imaging device that images one of the advertisement affecting positions of the plurality of advertisement providing devices with respect to the plurality of advertisement providing devices. The information may be acquired. In this case, there is an advantage that the calculation can be simplified by using the information obtained by the image pickup device that captures the above one as a representative of the information of the advertisement influence position of the advertisement providing device related to the periphery thereof.
　また、広告場所提供システムは、複数の広告提供装置に対し、前記複数の広告提供装置に係る各広告影響位置の一部を撮像する一又は複数の撮像装置によって、前記複数の広告提供装置が夫々提供する広告の影響の情報を取得する構成とされてもよい。この場合、前記一部を撮像する一又は複数の撮像装置で得られた情報を、その周辺に係る広告提供装置の広告影響位置の情報の代用とすることで、前記複数の広告提供装置に係る各広告影響位置の全てを撮像可能な複数の撮像装置によって撮像して得られた情報を利用する場合と比較して、計算を単純にできる利点がある。 Further, in the advertisement place providing system, for the plurality of advertisement providing apparatuses, the plurality of advertisement providing apparatuses are respectively provided with one or a plurality of image capturing apparatuses that capture an image of a part of each advertisement affected position related to the plurality of advertisement providing apparatuses. It may be configured to acquire information on the influence of the advertisement provided. In this case, the information obtained by one or a plurality of image capturing devices that captures the part is used as a substitute for the information of the advertisement-affected position of the advertisement providing device related to the periphery of the plurality of advertisement providing devices. There is an advantage that the calculation can be simplified as compared with the case of using the information obtained by capturing images of all the advertisement influence positions with a plurality of image capturing devices.
　また、一実施形態のシステムは、広告場所提供システムから、図２乃至図４で例示した態様の情報、又は、これらに限られず、撮像装置と広告提供装置から得られた情報、を取得してよい。なお、これらの、広告場所提供システムから取得し、一実施形態のシステム内で統計処理データを生成するのに使用される情報を、「統計処理データに係る情報」ということもある。統計処理データに係る情報は、統計処理データそのものであってもよいし、統計処理データを生成するための画像情報であってもよい。また、広告場所提供システムが統計処理データを生成する場合において、広告場所提供システムが複数の広告を提供する広告提供装置を含む場合、前記複数の広告を区別した統計処理データを生成してよい。かかる複数の広告を区別した統計処理データは、各広告と関連付けて属性情報を生成することにより、生成してよい。 In addition, the system of one embodiment obtains from the advertisement place providing system the information in the form illustrated in FIG. 2 to FIG. 4 or the information obtained from the imaging device and the advertisement providing device without being limited thereto. Good. It should be noted that the information obtained from the advertising place providing system and used to generate the statistical processing data in the system of one embodiment may be referred to as "information related to the statistical processing data". The information related to the statistically processed data may be the statistically processed data itself or image information for generating the statistically processed data. In addition, when the advertisement place providing system generates the statistically processed data, when the advertisement place providing system includes an advertisement providing device that provides a plurality of advertisements, the statistically processed data that distinguishes the plurality of advertisements may be generated. Statistical processing data that distinguishes the plurality of advertisements may be generated by generating attribute information in association with each advertisement.
　一実施形態のシステムは、広告場所提供システムから取得する情報を用いて、広告場所提供システムに係る場所についての統計処理データを生成してよい。例えば、一実施形態のシステムが、広告場所提供システムから、画像情報又は属性情報を取得した場合は、一実施形態のシステム内の統計処理部が、統計処理データを生成してよいし、一実施形態のシステムが、広告場所提供システムから、統計処理データを取得した場合は、一実施形態のシステム内の統計処理部が、それをそのまま利用又は他の広告場所提供システムから提供される統計処理データとの合成などの加工をしてよい。 The system of one embodiment may use information acquired from the advertisement place providing system to generate statistical processing data about a place related to the advertisement place providing system. For example, when the system of one embodiment acquires image information or attribute information from the advertisement place providing system, the statistical processing unit in the system of one embodiment may generate statistical processing data. When the system of the embodiment acquires the statistically processed data from the advertising place providing system, the statistical processing unit in the system of one embodiment uses the statistical process data as it is or the statistically processed data provided from another advertising place providing system. Processing such as composition with may be performed.
　広告場所提供システムの所有者又は管理者は、システムの所有者又は管理者であってもよいし、広告場所提供システムを構成するもの（たとえば、撮像装置や広告提供装置）が設置される場所の、土地所有者、建物所有者、建物の賃借人、などであってもよいし、これらの者に対してまとめるものが含まれてもよい。なお、設置場所としては、商業施設、駅内などが挙げられるが、これらに限られず、広告が設置できる場所であればよい。 The owner or administrator of the advertisement place providing system may be the owner or administrator of the system, or may be the owner or administrator of the system, or the owner or administrator of the system. , Land owners, building owners, building renters, etc., or may include summaries for these persons. The installation place may be a commercial facility, a station, or the like, but is not limited thereto and may be any place where an advertisement can be installed.
　本願発明に係る一の実施態様におけるシステムの統計処理部は、広告場所提供システムから取得する情報を用いて、生成、統合又はその情報をそのまま利用した、広告提供場所における統計処理データを生成し、広告提供者システムに提供してよい。 The statistical processing unit of the system in one embodiment according to the present invention uses the information acquired from the advertisement location providing system to generate, integrate or use the information as it is to generate statistical processing data at the advertisement providing location, It may be provided to the advertisement provider system.
　広告提供者システムは、広告を提供する側の者が使用するシステムである。広告を提供する側の者（本願書類において、「広告提供者」ということもある）は、広告主、広告会社、メディアレップ、広告費用を支払う者、広告を作成するものなどが挙げられる。広告提供者システムは、後述する、ターゲット広告を、システムに対して送信する送信元である情報処理装置を含んでよい。また、広告提供者システムは、ターゲット広告を提供する場所に関する情報を含む統計処理データの送信先である情報処理装置を含んでよい。 The advertisement provider system is a system used by the person providing the advertisement. The person who provides the advertisement (also referred to as “advertiser” in this document) may be an advertiser, an advertising company, a media rep, a person who pays an advertising fee, or a person who creates an advertisement. The advertisement provider system may include an information processing device that is a source of transmitting a target advertisement to the system, which will be described later. In addition, the advertisement provider system may include an information processing device that is a destination of statistical processing data including information about a place where a target advertisement is provided.
　広告場所システムに係る情報処理装置は、夫々、ワークステーション、デスクトップパソコン、ラップトップパソコン、ノートパソコン、ＰＤＡ、携帯電話、スマートフォンなどであってよい。 The information processing device related to the advertising location system may be a workstation, desktop computer, laptop computer, laptop computer, PDA, mobile phone, smartphone, etc., respectively.
　広告提供者システムは、夫々、ワークステーション、デスクトップパソコン、ラップトップパソコン、ノートパソコン、ＰＤＡ、携帯電話、スマートフォンなどであってよい。 The advertisement provider system may be a workstation, desktop computer, laptop computer, laptop computer, PDA, mobile phone, smartphone, etc., respectively.
　システムが、広告提供者システムに対して、一の広告場所システムに係る情報を、「広告場所レポート」ということもある。一の広告場所システムに関する広告場所レポートは、後述する、前記一の広告場所システムにおいて取得した画像に係る情報、及び／又は、前記一の広告場所システムにおいて取得した画像に係る情報から生成された視聴情報、を含んでよい。 The system may sometimes call the information related to one advertising location system to the advertising provider system an "advertising location report". The advertisement place report related to the one advertisement place system is information to be described later regarding the image acquired in the one advertisement place system and/or viewing generated from the information related to the image obtained in the one advertisement place system. Information may be included.
　図２３は、他の一実施形態におけるシステムと全体との関係を示す図である。一実施形態に係るシステム２３０１と、広告提供者システムの例である、広告主２３０２ａ、広告会社２３０２ｂ、メディアレップ２３０２ｃ、とが接続可能とされている。また、システム２３０１は、広告場所システムの例である、大手通信キャリア２３０３ａ、施設会社２３０３ｂがあり、これらと直接又は間接的に、接続可能とされてよい。なお、大手通信キャリアは、ここでは、各施設会社に対する広告の場所の提供についての営業や折衝を、システムに係る者に代理して、担当するほか、通信キャリアとしての役割を果たすものであって、システムと広告場所システムとの間で間接的に接続可能とされている一例であり、システムが、広告場所システム（例えば、施設会社）から、間接的に、画像に係る情報を取得する一例である。 FIG. 23 is a diagram showing the relationship between the system and the whole in another embodiment. The system 2301 according to an embodiment and an advertiser 2302a, an advertising company 2302b, and a media rep 2302c, which are examples of an advertisement provider system, can be connected. Further, the system 2301 includes a major communication carrier 2303a and a facility company 2303b, which are examples of the advertisement place system, and may be directly or indirectly connectable to these. In addition, the major telecommunications carriers play the role of telecommunications carriers in addition to taking charge of sales and negotiations regarding the provision of advertising places to each facility company on behalf of the person related to the system. In this example, the system and the advertisement place system are indirectly connectable, and the system indirectly obtains the information related to the image from the advertisement place system (for example, a facility company). is there.
プラットフォームに係る一実施態様におけるシステム
　広告提供者システムは、システムが提供する統計処理データを取得し、かかる統計処理データを提示できる機能を有してよい。例えば、図２０は、広告提供者システムが、広告提供者に対して表示する、統計処理データの一例である。本図は、異なる場所Ｐ１乃至Ｐ３において、一又は複数の属性情報について、視聴情報を表示する例である。属性情報としては、性別と年齢層の組み合わせが用いられている。また、視聴情報として、視聴合計平均時間を表示している。これらにより、異なる場所においても、時刻によって、各属性情報と視聴合計平均時間の情報を理解できる利点がある。これらの情報を用いて、広告提供者は、例えば、特定の属性情報を有する人の視聴合計平均時間が高い場所はどこであるかを理解することができるため、表示する予定の広告を提供すべき場所について、見てほしい属性情報を有する人々に対して広告を提供すべき場所を選択するための情報を取得できる利点がある。また、視聴合計平均時間の情報により、広告を各場所で提供した場合に、一の属性情報を有する人がどの程度注目するかの参考となる情報を取得できる利点がある。 The system advertisement provider system in one embodiment of the platform may have a function of acquiring statistical processing data provided by the system and presenting the statistical processing data. For example, FIG. 20 is an example of the statistical processing data displayed by the advertisement provider system to the advertisement provider. This figure is an example of displaying viewing information for one or more attribute information in different places P1 to P3. A combination of gender and age group is used as the attribute information. In addition, the total viewing time is displayed as viewing information. As a result, there is an advantage that even in different places, it is possible to understand the information of each attribute information and the total viewing average time depending on the time. Using this information, the ad provider should provide the ad to be displayed, for example, because it is possible to understand where the total average viewing time of a person with specific attribute information is high. With respect to the place, there is an advantage that information for selecting a place where an advertisement should be provided to people having attribute information that they want to see can be obtained. In addition, there is an advantage that the information of the total viewing time can be used as a reference for how much attention a person having one attribute information pays attention to when the advertisement is provided at each place.
　なお、かかるシステムの構成は、例えば、東京駅周辺のビジネス街ではビジネスに関連する人々が多くおり、お台場などの商業施設では家族やカップルなどのプライベートで訪問する人々が多くいる、というような、人々が存在する場所と人々の備える属性とには関係があるという思想を背景としている。この思想をより細分化し深めることで、例えば、ファッションアイテムに係る属性情報と、場所に潜在的な関係が存在し、さらにそれらが広告の視聴情報とも関係するという思想に基づくものである。 The configuration of such a system is such that, for example, there are many people related to business in the business district around Tokyo Station, and there are many people who visit privately such as families and couples in commercial facilities such as Odaiba. The background is the idea that there is a relationship between the place where people exist and the attributes they possess. By further subdividing and deepening this idea, for example, it is based on the idea that there is a potential relationship between attribute information related to fashion items and places, and that they are also related to audience viewing information.
　また、統計処理データは、視聴情報の高さの順で、広告場所のランキングを含んでもよい。この場合、一実施形態のシステムの統計処理部は、視聴情報の高さの順に、広告場所のランキングを含んでよい。例えば、図２２は、一実施形態のシステムの統計処理部が生成し、広告提供者システムに送信され、広告提供者システム上で表示される、統計処理データの他の例であり、閲覧総数（視聴情報）が高い順に、場所と各情報が、表示されている例である。より具体的には、閲覧総数の高い順に掲載場所が表示され（２２０１乃至２２０５）、各場所における閲覧総数が具体的数値として表示され（２２０６）、閲覧者を属性情報で区分けして各属性情報に属する閲覧者数が円グラフにより表示され（２２０７）、閲覧者を属性情報で区分けして各属性情報に属する閲覧者数の閲覧時間の合計が円グラフにより表示され（２２０８）、時間軸に応じた閲覧者数の増減が閲覧履歴として表示され（２２０９）ている。当該ランキングにより、多数掲載可能な場所がある場合などで、視聴情報を順位付けて取得できる利点がある。 Statistically processed data may also include rankings of advertising places in the order of viewing information height. In this case, the statistical processing unit of the system of one embodiment may include the ranking of the advertisement place in the order of the height of the viewing information. For example, FIG. 22 is another example of the statistical processing data generated by the statistical processing unit of the system of one embodiment, transmitted to the advertisement provider system, and displayed on the advertisement provider system. In this example, the place and each information are displayed in descending order of viewing information). More specifically, the places of publication are displayed in descending order of the total number of browses (2201 to 2205), and the total number of browses at each place is displayed as a specific numerical value (2206). The number of viewers belonging to is displayed in a pie chart (2207), the viewers are classified by attribute information, and the total viewing time of the number of viewers belonging to each attribute information is displayed in a pie chart (2208), which is displayed on the time axis. The increase/decrease in the number of viewers is displayed as a browsing history (2209). The ranking has the advantage that viewing information can be ranked and acquired when there are many places where it can be posted.
　上述では、人々が高い興味を示している視聴情報の高い順の表示の例を説明したが、人々が高い興味を示していない視聴情報の低い順に表示をしてもよい。人々が高い興味を示している視聴情報の高い順の表示の場合、広告を提供する価値の高い場所としての情報を取得できる利点があり、人々が高い興味を示していない視聴情報の低い順に表示の場合、広告を提供する価値が低い場所としての情報を取得できる利点がある。 　In the above, an example of displaying the viewing information in which the people are highly interested has been described, but the viewing information in which the people are not highly interested may be displayed in the ascending order. In the case of displaying the viewing information in the order of high interest to the people, there is an advantage that the information as a place of high value to provide the advertisement can be obtained, and the viewing information in the order of low viewing information to which the people are not interested is displayed. In this case, there is an advantage that information can be obtained as a place where the value of providing an advertisement is low.
　上述のランキングは、各場所の視聴情報の高さの順の例であるが、更に具体化して、所定の時間帯についてランキングを生成してもよいし、一又は複数の特定の属性情報毎にランキングを生成してもよいし、これらの組み合わせでランキングを生成してもよい。所定の時間帯にランキングをした場合、かかる所定の時間帯における人々の動きを理解できる利点がある。例えば、ビジネス街において、朝の出勤時を含む時間帯、昼の昼食時を含む時間帯、夕方の退勤時を含む時間帯などは、人々の動きが他の時間帯と異なる可能性が高いため、かかる人々の動きの情報を前提として、広告の提供を検討できる利点がある。また、７時から９時、９時から１１時、１１時から１３時、１３時から１５時、１５時から１７時、１７時から１９時など、連続して時間帯毎にランキングを生成した場合、例えば出勤時、昼食時、退勤時以外の時間との差も理解しつつ、人々の動きに関する情報を取得できる利点がある。これらの情報を取得できた場合、例えば、広告提供者は、これらの時間帯を考慮して、広告枠として、広告の提供の是非を検討できる利点がある。 The above-mentioned ranking is an example in the order of the height of the viewing information of each place, but it may be further embodied to generate a ranking for a predetermined time zone, or for each one or more specific attribute information. The ranking may be generated, or the combination may be used to generate the ranking. Ranking in a predetermined time zone has the advantage of being able to understand the movement of people in such a predetermined time zone. For example, in business districts, people's movements are highly likely to be different from other time zones, such as the time zone that includes morning work, the time zone that includes lunch in the afternoon, and the time zone that includes leaving work in the evening. , There is an advantage that it is possible to consider the provision of advertisements based on the information of such people's movements. In addition, the rankings are continuously generated for each time period, such as from 7:00 to 9:00, 9:00 to 11:00, 11:00 to 13:00, 13:00 to 15:00, 15:00 to 17:00, 17:00 to 19:00. In this case, for example, there is an advantage that information about people's movements can be acquired while understanding the difference from the time other than when going to work, lunch, and leaving work. If these pieces of information can be acquired, for example, the advertisement provider has an advantage that it is possible to consider whether to provide the advertisement as an advertisement frame in consideration of these time zones.
　なお、この場合において、システムは、表示される統計処理データの一又は複数の属性情報を、広告提供者システムから、取得できる構成とされてよい。また、広告提供者システムは、広告提供者によって入力される、かかる表示される統計処理データの一又は複数の属性情報を、受領する構成と、かかる受領した一又は複数の属性情報を、システムに送信する機能を有してよい。システムは、かかる一又は複数の属性情報を取得した場合、かかる情報を用いて、表示される統計処理データを生成してよい。 Note that in this case, the system may be configured to be able to acquire one or more attribute information of the statistical processing data to be displayed from the advertisement provider system. In addition, the advertisement provider system receives a configuration for receiving one or more attribute information of the displayed statistical processing data input by the advertisement provider, and the received one or more attribute information in the system. It may have a function of transmitting. When the system acquires the one or more pieces of attribute information, the system may use the information to generate the statistical processing data to be displayed.
プラットフォームに係る他の実施態様におけるシステム
　一実施形態のシステムは、広告提供者システムから取得する広告に係る情報を用いて、広告を提供する場所を提案してもよい。この場合、一実施形態のシステムは、上述と同様の構成により、広告場所システムから、広告と画像に関する種々の態様の情報を取得してよく、かかる情報に基づいて、広告提供者システムに対し、広告を提供する場所を提案してよい。 System in Another Embodiment of Platform The system of one embodiment may propose a place to serve an advertisement using the information relating to the advertisement acquired from the advertisement provider system. In this case, the system of one embodiment may acquire information of various aspects regarding advertisements and images from the advertisement place system by the same configuration as described above, and based on such information, the advertisement provider system may be notified. You may suggest where to serve the advertisement.
　一実施形態のシステムは、広告提供者システムから、広告提供者が提供する予定の広告（本願書類において、「ターゲット広告」ということもある。）に係る情報を、取得してよい。提供する予定の広告に係る情報（本願書類において、「ターゲット広告に係る情報」ということもある。）は、例えば、ターゲット広告自体、ターゲット広告を示す情報、ターゲット広告に係る一又は複数の想定属性情報、ターゲット広告の広告に係る情報、広告提供者が考える広告提供場所、などを取得してよい。なお、広告提供者が考える広告提供場所とは、例えば、広告提供者が候補として考えている広告提供場所であって、後述する試験的にターゲット広告を提供してみる場所であってよい。 The system of one embodiment may obtain information related to an advertisement (in some cases referred to as “targeted advertisement” in this document) provided by the advertisement provider from the advertisement provider system. The information related to the advertisement to be provided (may be referred to as “information related to the targeted advertisement” in this document) is, for example, the targeted advertisement itself, information indicating the targeted advertisement, or one or more assumed attributes related to the targeted advertisement. Information, information related to the advertisement of the target advertisement, the advertisement providing place considered by the advertisement provider, and the like may be acquired. The advertisement providing place considered by the advertisement provider may be, for example, an advertisement providing place considered as a candidate by the advertisement provider, and may be a place where a target advertisement is provided on a trial basis, which will be described later.
　一実施形態のシステムは、ターゲット広告に係る情報を取得した場合、かかる情報を用いて、前記広告に適した情報を生成してよい。例えば、一実施形態のシステムが、ターゲット広告の一又は複数の想定属性情報を取得した場合、前記ターゲット広告に係る想定属性情報と所定の属性情報関係にある属性情報を有する人が広告影響位置にいる広告提供場所を、通知してよい。例えば、図２１は、広告提供者システムから得られた情報と、広告場所システムから得られた情報とを、概略的に示した図である。本図では、広告提供者システム２１０４から、男性、ファッションアイテム色が紺系という属性情報を、本例のシステムが取得したとする。 The system according to the embodiment may generate information suitable for the advertisement using the information when the information related to the target advertisement is acquired. For example, when the system of one embodiment acquires one or more assumed attribute information of the target advertisement, a person having attribute information having a predetermined attribute information relationship with the assumed attribute information related to the target advertisement is set at the advertisement influence position. You may notify the location of the advertisement provided. For example, FIG. 21 is a diagram schematically showing information obtained from the advertisement provider system and information obtained from the advertisement place system. In this figure, it is assumed that the system of this example has acquired attribute information that the male and fashion item colors are navy blue from the advertisement provider system 2104.
　次に、一実施形態のシステムは、広告場所システム２１０１ないし２１０３から、それぞれの広告場所システムから画像に係る情報を、取得してよい。例えば、本図では、システム２１００が、広告場所システムＰ１乃至Ｐ３から画像に係る情報を取得し、システム２１００が、各画像に係る情報に基づいて、視聴情報のテーブル（２１０１ａ乃至２１０３ａ）を生成している例である。ここで、属性情報は、男性かつファッションアイテム色が紺系、男性かつファッションアイテム色が紺系以外、女性かつファッションアイテム色が紺系、女性かつファッションアイテム色が紺系以外の４つについて、それぞれ、所定期間、各広告場所システムに係る広告影響位置において関連付けられた撮像装置によって撮像された人々に基づく視聴情報が生成され、記憶されている。 Next, the system according to the embodiment may obtain the information related to the image from each advertisement place system from the advertisement place systems 2101 to 2103. For example, in the figure, the system 2100 obtains information about images from the advertisement place systems P1 to P3, and the system 2100 generates tables of viewing information (2101a to 2103a) based on the information about each image. It is an example. Here, the attribute information is four for men and fashion item colors are navy blue, men and fashion item colors are not navy, women and fashion item colors are navy, and women and fashion item colors are not navy. , Viewing information based on the people imaged by the imaging device associated with the advertising influence position according to each advertising place system is generated and stored for a predetermined period.
　上述では、広告提供者システムから情報を取得した後に広告場所システムから情報を取得する情報の流れを説明したが、広告場所システムから情報を取得した後に広告提供者システムから情報を取得するなど、これらの情報の順次は、同時又は任意であってよい。例えば、広告場所提供システムから、随時、画像に係る情報を、本例のシステムが取得する構成としてもよいし、本例のシステムが広告提供者システムからターゲット広告に係る情報を取得したことを条件として、本例のシステムが広告提供者システムに対して画像に係る情報を要求し、これに対応して、広告場所提供システムが画像に係る情報を本例のシステムに送信することで、本例のシステムがかかる情報を取得する構成であってもよい。 In the above, the flow of information to obtain information from the advertisement location system after obtaining information from the advertisement provider system has been described. However, after obtaining information from the advertisement location system and then obtaining information from the advertisement provider system, etc. The sequence of information in 1 may be simultaneous or arbitrary. For example, the system of this example may be configured to acquire the information related to the image from the advertisement place providing system at any time, or the system of this example may acquire the information related to the target advertisement from the advertisement provider system. As a result, the system of the present example requests the information related to the image from the advertisement provider system, and in response to this, the advertisement place providing system transmits the information related to the image to the system of the present example. The system may acquire such information.
　広告場所システムにおいて得られる画像に係る情報は、他の広告を用いて取得された情報であってよい。この場合、簡易に他の広告で得られた情報を利用できる利点がある。 The information related to the image obtained in the advertisement place system may be the information acquired by using another advertisement. In this case, there is an advantage that information obtained by other advertisements can be easily used.
　また、広告場所システムにおいて得られる画像に係る情報は、アイキャッチャーのような抽象的に人々の注目を得るような表示に対するものであってもよい。この場合、抽象的に人々に注目を得るような表示に対する視聴情報として、参考にできる利点がある。 Also, the information related to the image obtained in the advertisement place system may be for the display that abstractly receives the attention of people such as an eye catcher. In this case, there is an advantage that it can be referred to as viewing information for a display that attracts people's attention abstractly.
　また、広告場所システムにおいて得られる画像に係る情報は、ターゲット広告に係る想定属性情報と、所定の属性情報関係にある広告を用いて得られたものであってよい。この場合、ターゲット広告と想定属性関係の点で関連があると考えられる広告であるため、ターゲット広告が利用された場合と似たような視聴情報を得られる可能性が高い利点がある。例えば、広告場所システムにおいて得られる画像に係る情報は、ターゲット広告に係る広告の色調や出演者の情報と同一又は類似の情報を用いた他の広告に関する画像に係る情報を用いてよい。 Further, the information related to the image obtained in the advertisement place system may be obtained by using the assumed attribute information related to the target advertisement and the advertisement having a predetermined attribute information relationship. In this case, since the advertisement is considered to be related to the target advertisement in terms of the assumed attribute relationship, there is an advantage that there is a high possibility that viewing information similar to the case where the target advertisement is used can be obtained. For example, the information regarding the image obtained in the advertisement place system may use the information regarding the image regarding another advertisement that uses the same or similar information as the color tone of the advertisement regarding the target advertisement or the information about the performer.
　また、システムは、一又は複数の広告場所提供装置において、広告提供者から取得したターゲット広告を、試験的に提供し、かかる広告についての画像に係る情報を取得してもよい。この場合、ターゲット広告に係る画像に係る情報を取得できることで、ターゲット広告に対する人々の示す興味の程度の情報を取得できる利点がある。 Further, the system may provide the target advertisement acquired from the advertisement provider on a trial basis in one or more advertisement place providing devices, and acquire the information related to the image about the advertisement. In this case, since the information related to the image related to the target advertisement can be acquired, there is an advantage that the information of the degree of interest that people show in the target advertisement can be acquired.
　一実施形態のシステムは、ターゲット広告に係る情報を用いて、提案すべき、前記ターゲット広告を提供する場所を、特定してよい。かかる特定された場所は、ターゲット広告に係る広告提供者システムに、送信されて、伝達されてよい。例えば、本図においては、システムは、広告提供システム２１０４から取得した情報を用いて、広告場所システム２１０１乃至２１０３の中から提案すべき広告場所を特定してよい。本図において、ターゲット広告に係る情報としての想定属性情報は、男性かつファッションアイテム色が紺系であるところ、かかる男性かつファッションアイテム色が紺系である属性情報について視聴情報が高いものである合計視聴時間が最も多いのは、広告場所システム２１０１ａにある２７２時間であることから、システムは、広告場所システム２１０１に係る場所を、提案すべき広告場所として、広告提供者システム２１０４に送信し、伝達してよい。 The system of one embodiment may use information related to the targeted advertisement to specify a place to provide the targeted advertisement, which should be proposed. Such identified locations may be transmitted and communicated to the ad provider system for the targeted advertisement. For example, in this figure, the system may use information acquired from the advertisement providing system 2104 to identify the advertisement place to be proposed from the advertisement place systems 2101 to 2103. In this figure, the assumed attribute information as the information related to the target advertisement is that the male and the fashion item color is navy blue, and the viewing information is high for the attribute information that the male and fashion item color is navy blue. Since the longest viewing time is 272 hours in the advertisement place system 2101a, the system transmits the place related to the advertisement place system 2101 to the advertisement provider system 2104 as the advertisement place to be proposed and conveys it. You can do it.
　また、一実施形態のシステムは、ターゲット広告に係る情報を用いて、提案すべき、前記ターゲット広告を提供する場所を、ランキング形式で、特定してよい。かかる特定されたランキング情報は、ターゲット広告に係る広告提供者システムに、送信されて、伝達されてよい。例えば、本図において、ターゲット広告に係る情報としての想定属性情報は、男性かつファッションアイテム色が紺系であるところ、かかる男性かつファッションアイテム色が紺系である属性情報について視聴情報が高いものをランキングすると、広告場所システムＰ１（２７２時間）、広告場所システムＰ２（１８１時間）、広告場所システムＰ１（１５７時間）の順になる。そこで、システムは、かかる場所を示す情報と前記場所を示す情報に対応する視聴情報として、広告場所システムとその対応する視聴合計時間を、広告提供者システムＡ１に伝達してよい。 Further, the system of an embodiment may specify, in a ranking format, a place to provide the target advertisement, which should be proposed, by using information related to the target advertisement. The identified ranking information may be transmitted and communicated to the advertisement provider system related to the targeted advertisement. For example, in this figure, the assumed attribute information as the information related to the target advertisement is that where the male and the fashion item color is navy blue, the viewing information is high regarding the attribute information where the male and the fashion item color is navy blue. When ranked, the advertisement place system P1 (272 hours), the advertisement place system P2 (181 hours), and the advertisement place system P1 (157 hours) are listed in this order. Therefore, the system may transmit the advertisement location system and the corresponding total viewing time to the advertisement provider system A1 as viewing information corresponding to the information indicating the location and the information indicating the location.
　また、上述では提案する内容に視聴情報を含む例であるが、視聴情報を含まないものであってもよい。例えば、一実施形態のシステムは、前記広告の一又は複数の想定属性情報と、所定の属性情報関係にある属性情報を有する人が検出された広告提供場所、かかる所定の属性情報関係にある属性情報を有する人が検出された人数が所定の数以上である広告提供場所、又は、かかる所定の属性情報関係にある属性情報を有する人が検出された人数についての広告提供場所のランキングを通知してよい。この場合、人数は多い順であってもよいし、少ない順であってもよい。人数が多い順の場合は、ターゲット広告に係る想定属性情報と所定の属性情報関係にある人が多くいる場所であることから広告を提供する場所として好ましい場所として検討ができ、人数が少ない順の場合は、ターゲット広告に係る想定属性情報と所定の属性情報関係にある人が少ない場所であることから広告を提供する場所として好ましくない場所として検討ができる利点がある。 In addition, although the above is an example in which viewing information is included in the proposed content, it may not include viewing information. For example, the system according to an embodiment may include an advertisement providing location in which a person having attribute information having a predetermined attribute information relationship with one or more assumed attribute information of the advertisement, an attribute having the predetermined attribute information relationship. Notify the advertisement providing place where the number of people who have information is detected is a predetermined number or more, or the ranking of the advertisement providing place about the number of people who have attribute information having such a predetermined attribute information relationship is detected. You may In this case, the number of people may be large or small. When the number of people is large, it can be considered as a preferable place to provide the advertisement because there are many people who have a predetermined attribute information relationship with the assumed attribute information related to the target advertisement. In this case, since there are few people who have a predetermined attribute information relationship with the assumed attribute information related to the target advertisement, there is an advantage that it can be considered as an unfavorable place for providing the advertisement.
　一実施形態のシステムは、
　一又は複数の広告場所システムから取得した画像に係る情報を取得する取得部と、
　前記画像に係る情報と、前記ターゲット広告に係る情報とを用いて、広告場所レポートを生成する生成部と、
を有するシステムであってよい。 The system of one embodiment is
An acquisition unit that acquires information related to images acquired from one or more advertisement place systems;
A generation unit that generates an advertisement location report using the information related to the image and the information related to the target advertisement.
May be a system having
　前記生成部は、更に、ターゲット広告に係る情報を用いて、前記広告場所レポートを生成してよい。前記ターゲット広告に係る情報は、広告提供者システムから取得してもよいし、予め高システム内に記憶されてもよい。後者は、例えば、前回、広告提供者システムから、広告に係る情報を取得した場合など、同一、類似又は関連する広告についての広告に係る情報を用いる場合などが挙げられる。この場合、広告提供者から新たに広告に係る情報を取得する面倒がない利点がある。 The generation unit may further generate the advertisement location report using the information related to the target advertisement. The information regarding the targeted advertisement may be obtained from the advertisement provider system or may be stored in advance in the high system. The latter may be, for example, the case where the information related to the advertisement is used for the same, similar or related advertisement, such as the case where the information related to the advertisement is acquired from the advertisement provider system last time. In this case, there is an advantage that it is not troublesome to newly acquire information related to the advertisement from the advertisement provider.
　なお、一実施形態のシステムは、広告場所システムから取得した画像に係る情報に基づく広告場所レポートを、広告提供者システムに送信する例を説明したが、かかる例に限られず、例えば、一実施形態のシステムは、広告場所レポートを、一実施形態のシステムのシステム端末１９０７に送信し、システム端末１９０７上において表示できる構成としてもよい。この場合、一実施形態のシステムの利用者が、広告提供者との面談等において、かかる一実施形態のシステムの端末において表示しつつ、各広告場所システムの利点等を説明できる利点がある。一実施形態のシステムに係る端末は、上述の広告場所レポートを表示できるよう構成されてよい。 It should be noted that the system of one embodiment has been described by way of an example in which an advertisement place report based on information related to an image acquired from the advertisement place system is transmitted to the advertisement provider system; The system may transmit the advertisement location report to the system terminal 1907 of the system of one embodiment and may be configured to be displayed on the system terminal 1907. In this case, there is an advantage that the user of the system of one embodiment can explain the advantages and the like of each advertisement place system while displaying the information on the terminal of the system of the one embodiment in an interview with the advertisement provider. The terminal according to the system of an embodiment may be configured to display the above-mentioned advertisement location report.
３．６．実施形態６
　一実施形態のシステムは、金額を決定する機能を有する金額決定部を備えてよい。金額決定部を備えたシステムは、例えば、実施形態５で説明したように、他の情報処理装置と接続可能とされていてよい。金額決定部は、種々の情報を用いて、広告枠の金額を決定してよい。例えば、金額決定部は、視聴情報、画像に係る情報、広告場所、及び／又は、広告提供時間帯、（本願書類において、これらの金額を決定するために使用される要素を、「金額決定要素」ということもある。）を用いて、金額を決定してよい。 3.6. Embodiment 6
The system of one embodiment may include an amount determination unit having a function of determining an amount. The system including the money amount determination unit may be connectable to another information processing apparatus, for example, as described in the fifth embodiment. The amount determination unit may determine the amount of the advertising space by using various information. For example, the amount determination unit may refer to viewing information, information related to images, advertisement locations, and / or advertisement provision time zones (in the documents of the present application, elements used to determine these amounts, "amount determination elements". May be used to determine the amount of money.
　金額決定部は、視聴情報と関連して、金額を決定してよい。視聴情報はどの程度広告に対して人々が興味を示したかを示す情報である。すなわち、視聴情報が高いケースは広告の提示価値が高いことを意味する。そこで、視聴情報と関連して、広告枠の金額を決定することを発明者らは考えた。 The amount determining unit may determine the amount of money in association with the viewing information. The viewing information is information indicating how interested people are in the advertisement. That is, the case where the viewing information is high means that the presentation value of the advertisement is high. Therefore, the inventors considered that the amount of money for the advertising space is determined in association with the viewing information.
　金額決定部は、視聴情報の値と比例して金額を決定してよい。例えば、一の視聴情報の数値が３０である場合に金額が１０万円であるとすると、他の視聴情報の数値が６０である場合には、金額が２０万円であってよい。視聴情報の値と金額とを比例させる場合、視聴情報が例えば人々の視聴率であったり、人々の視聴時間の合計であれば、その率や合計時間に比例させた価値として広告の提示の金額を決めることができる利点がある。 The amount determining unit may determine the amount in proportion to the value of the viewing information. For example, if the value of one viewing information is 30 and the amount of money is 100,000 yen, if the value of other viewing information is 60, the amount of money may be 200,000 yen. When the value of the viewing information is proportional to the amount of money, if the viewing information is, for example, the viewing rate of people or the total viewing time of people, the amount of advertisement presented as a value proportional to the rate or the total time. There is an advantage that can be decided.
　また、金額決定部は、視聴情報の値と比例ではないが所定の関係を用いて決定してよい。例えば、金額決定部が、予め視聴情報に係る数値と金額との関係を定めたルールを有し、かかるルールを用いて、視聴情報から、金額を決定してよい。 Further, the amount determination unit may determine using a predetermined relationship, although it is not proportional to the value of the viewing information. For example, the money amount determination unit may have a rule that preliminarily defines the relationship between the numerical value related to the viewing information and the money amount, and the money amount may be determined from the viewing information using such a rule.
　また、金額決定部は、画像に係る情報と関連して、金額を決定してよい。広告場所システムから取得される画像に係る情報は、どのような属性情報を有する人がいるかを生成できる情報であり、提供される広告の広告影響位置にいる人々の情報であるため、広告によって広告に興味を示す可能性を判定できる情報である。そこで、画像に係る情報と関連して、広告枠の金額を決定することを、発明者らは考えた。 In addition, the amount determination unit may determine the amount in relation to the information related to the image. The information related to the image acquired from the advertisement location system is information that can generate what kind of attribute information a person has, and is information of people who are in the advertising influence position of the provided advertisement. This is information that can determine the possibility of showing interest in. Therefore, the inventors considered to determine the amount of the advertising space in relation to the information related to the image.
　金額決定部は、例えば、画像に係る情報として、属性情報を用いて、金額を決定してよい。属性情報は、広告提供場所にいる人の情報であることから、かかる情報を考慮して金額を決定できる利点がある。 The monetary amount determination unit may determine the monetary amount, for example, using attribute information as the information related to the image. Since the attribute information is the information of the person at the advertisement providing place, there is an advantage that the amount can be determined in consideration of such information.
　例えば、一の広告提供場所システムから取得された画像に係る人の属性情報と、ターゲット広告に係る想定属性情報と、所定の属性情報関係の有無に応じて、金額を変更して決定してよい。この場合、所定の属性情報関係の有無を反映させて、金額を決定できる利点がある。 For example, the amount may be changed and determined depending on the attribute information of the person related to the image acquired from the one advertisement providing place system, the assumed attribute information related to the target advertisement, and the presence or absence of a predetermined attribute information relationship. .. In this case, there is an advantage that the amount of money can be determined by reflecting the presence or absence of a predetermined attribute information relationship.
　また、金額決定部は、属性情報関係の程度に関連して、金額を決定してよい。例えば、金額決定部は、一の広告提供場所システムから取得された画像に係る人の属性情報とターゲット広告に係る属性情報との属性情報関係が、他の広告提供場所システムから取得された画像に係る人の属性情報と前記ターゲット広告に係る属性情報との属性情報関係よりも強い場合、前記一の広告提供場所におけるターゲット広告の提供を、前記他の広告提供場所におけるターゲット広告の提供よりも、高い金額に設定してよい。かかる構成により、広告提供場所毎の人の情報を踏まえて、金額を決定できる利点がある。例えば、ターゲット広告に係る想定属性情報が、５０代以上の男性である場合において、一の広告提供場所の属性情報が３０代以上の男性であり、他の広告提供場所の属性情報が４０代以上の女性である場合、前記一の広告提供場所の金額を、前記他の広告提供場所よりも高めてよい。 In addition, the amount determination unit may determine the amount in relation to the degree of attribute information relation. For example, the monetary amount determination unit determines that the attribute information relationship between the attribute information of the person related to the image acquired from the one advertisement providing place system and the attribute information related to the target advertisement corresponds to the image acquired from the other advertisement providing place system. When stronger than the attribute information relationship between the attribute information of the person concerned and the attribute information related to the target advertisement, the provision of the target advertisement in the one advertisement providing place, the provision of the target advertisement in the other advertisement providing place, You can set a higher price. With such a configuration, there is an advantage that the amount can be determined based on the information of the person for each advertisement providing place. For example, when the assumed attribute information related to the target advertisement is a man in his 50s or older, the attribute information of one advertisement providing place is a man in his 30s or more, and the attribute information of another advertisement providing place is in his 40s or more. In the case of a woman, the amount of money of the one advertisement providing place may be higher than that of the other advertisement providing place.
　また、金額決定部は、広告場所と関連して、金額を決定してよい。広告場所によって、提供される広告の広告影響位置にいる人々は異なりうるため、広告場所は、広告に興味を示す可能性を判定できる情報である。そこで、広告場所と関連して、広告枠の金額を決定することを、発明者らは考えた。 Also, the monetary amount determination unit may determine the monetary amount in association with the advertisement place. The advertisement location is information that can determine the possibility of being interested in the advertisement, because people at the advertisement influence position of the provided advertisement may be different depending on the advertisement location. Therefore, the inventors have considered determining the amount of money for the advertisement space in relation to the advertisement place.
　金額決定部は、広告提供時間帯と関連して、金額を決定してよい。広告提供時間帯によって、提供される広告の広告影響位置にいる人々は異なりうるため、広告提供時間帯は、広告に興味を示す可能性を判定できる情報である。そこで、広告提供時間帯と関連して、広告枠の金額を決定することを、発明者らは考えた。 The monetary amount deciding unit may decide the monetary amount in association with the advertisement providing time zone. Since the people in the advertisement affected position of the provided advertisement may be different depending on the advertisement providing time zone, the advertisement providing time zone is information that can determine the possibility of showing an interest in the advertisement. Therefore, the inventors considered to determine the amount of the ad space in relation to the ad serving time zone.
　金額決定部は、決定された金額を、一又は複数の広告提供者システムに送信し、前記一又は複数の広告提供者システムは、かかる金額を表示してよい。金額の表示により、広告提供者は、広告枠の金額を理解できる利点がある。 The amount determination unit may transmit the determined amount to one or more advertisement provider systems, and the one or more advertisement provider systems may display such amount. The display of the amount of money has an advantage that the advertisement provider can understand the amount of money of the advertising space.
　また、金額決定部は、決定された金額を前記金額の広告枠に係る情報と共に、一又は複数の広告提供者システムに送信し、前記一又は複数の広告提供者システムは、かかる金額と前記広告枠に係る情報を関連付けて表示してよい。広告枠に係る情報は、広告場所、提供される広告の時間帯、提供される広告の日時、及び／又は、広告場所レポートに係る内容などであってよい。金額が広告枠に係る情報と共に関連付けて表示されることで、広告提供者は、広告枠に係る情報と関連付けて金額を理解できる利点がある。特に、広告枠に係る情報として広告場所レポートに係る内容が含まれる場合において、前記広告場所レポートに係る内容が、提供される広告の時間帯に係る部分に限定されてよい。この場合、提供される広告の時間帯と密接に関連する情報が表示されるため、より広告提供者は、金額の価値を提供できる利点がある。 Further, the monetary amount determination unit transmits the determined monetary amount together with information regarding the advertisement frame of the monetary amount to one or a plurality of advertisement provider systems, and the one or a plurality of advertisement provider systems, the monetary amount and the advertisement. Information related to the frame may be displayed in association with each other. The information related to the advertisement space may be an advertisement location, a time zone of the advertisement provided, a date and time of the advertisement provided, and/or contents related to the advertisement location report. Since the amount of money is displayed in association with the information related to the advertising space, the advertisement provider has an advantage that the amount of money can be understood in association with the information related to the advertising space. In particular, when the information related to the advertisement space includes the content related to the advertisement location report, the content related to the advertisement location report may be limited to the portion related to the time zone of the provided advertisement. In this case, since the information closely related to the time zone of the advertisement provided is displayed, there is an advantage that the advertisement provider can provide the value of the money.
　また、金額決定部は、上述の一の広告枠に限らず、複数の広告枠についても、同様の処理をしてもよい。例えば、金額決定部は、一又は複数の広告枠に係る情報と、前記一又は複数の広告枠について決定された各金額とを、関連付けて、一又は複数の広告提供者システムに送信し、前記一又は複数の広告提供者システムは、前記一又は複数の広告枠と、前記一又は複数の広告枠について決定された各金額と、を関連付けて表示してよい。 Also, the amount determining unit may perform the same processing for a plurality of advertisement frames as well as the above-mentioned one advertisement frame. For example, the monetary amount determination unit associates information relating to one or a plurality of advertisement frames with each monetary amount determined for the one or a plurality of advertisement frames, and transmits the information to one or more advertisement provider systems, One or more advertisement provider systems may display the one or more advertisement frames and the respective amounts of money determined for the one or more advertisement frames in association with each other.
　なお、金額決定部において、金額決定要素に基づいて決定される金額は、広告枠の金額の一部であってもよい。例えば、一又は複数の広告枠について、所定の土台となる金額Ａがあり、金額決定部が金額決定要素に基づいて決定した金額をＢとした場合、これらのＡとＢとの合計額を、前記一又は複数の広告枠の金額としてもよい。 Note that the amount determined by the amount determination unit based on the amount determination factor may be a part of the amount of the advertising space. For example, when there is an amount A that is a predetermined base for one or a plurality of advertisement frames, and the amount determined by the amount determining unit based on the amount determining element is B, the total amount of these A and B is The amount of money for the one or more advertisement frames may be used.
　一実施形態のシステムが、金額決定部を備えている場合における流れを、図２４を用いて説明する。まず、金額決定部は、必要に応じて、金額決定要素を、広告場所システムから直接的または間接的に取得する（２４０１）。次に、金額決定部は、金額決定要素を用いて、金額を決定する（２４０２）。次に金額決定部は、直接的または間接的に広告提供者システムに、金額を、必要に応じて、広告枠に係る情報と共に、送信する（２４０３）。広告提供者システムは、金額と、必要に応じて広告枠に係る情報と、を表示する（２４０４）。 The flow in the case where the system of one embodiment includes the amount determination unit will be described with reference to FIG. 24. First, the amount deciding unit acquires the amount deciding element directly or indirectly from the advertisement place system as needed (2401). Next, the amount determination unit determines the amount using the amount determination element (2402). Next, the monetary amount deciding unit directly or indirectly transmits the monetary amount to the advertisement provider system together with information regarding the advertisement space, if necessary (2403). The ad provider system displays the amount of money and, if necessary, information about the inventory (2404).
　また、金額決定部は、人々の関心の高さを用いて、金額を決定してよい。例えば、金額決定部は、一の商品等に対する人々の関心の高さの変動を予測できる場合に、前記一の商品等に係る広告の金額を、他の商品等に係る広告の金額とは、異なる金額に設定してよい。例えば、金額決定部は、一の商品等に対して人々の関心が高くなると予測できる場合に、前記一の商品等に係る広告の金額を他の商品等に係る広告の金額より高い金額に設定してもよい。人々の関心が高い場合には広告を提供する価値が高いことから、かかる広告の価値を価格に適切に反映できる利点がある。また、一の商品等について人々の関心が低いと予測できる場合に、前記一の商品等に係る広告の金額を他の商品等に係る広告の金額より低い金額に設定してもよい。 Also, the monetary amount deciding unit may decide the amount of money by using the level of interest of people. For example, when the amount determination unit can predict a change in the degree of interest of people to one product or the like, the amount of the advertisement related to the one product or the like is the amount of the advertisement related to the other product or the like. You may set different amounts. For example, when it can be predicted that people's interest in one product or the like will be high, the amount determination unit sets the amount of the advertisement for the one product or the like to be higher than the amount of advertisement for the other product or the like. You may. When the interest of the people is high, the value of providing the advertisement is high, so that there is an advantage that the value of the advertisement can be appropriately reflected in the price. In addition, when it can be predicted that people's interest in one product or the like is low, the amount of advertisement for the one product or the like may be set lower than the amount of advertisement for the other product or the like.
　金額決定部は、人々の関心の高さを、金額決定要素を用いて、判定してよい。人々の関心の高さを判定するための金額決定要素としては、例えば、社会的な事件、ネット上で話題となっているもの等があってよく、この場合、インターネットを介して情報を取得してよい。社会的な事件、ネット上で話題となっているものは、ニュースで上位にランキングされているものや、検索ワードで上位になっているものなどにより特定されてよく、かかる社会的な事件、ネット上で話題となっているものに係る広告について、又はこれらと関連の高い商品等に係る広告について、金額決定部は、他の商品等に係る広告よりも高い金額に設定してよい。なお、社会的な事件又はネット上の話題から、かかるものに係る広告は、予め定められたルールや人工知能技術を用いて特定されてよい。 The amount determination unit may determine the degree of interest of people by using the amount determination factor. The amount-determining factor for determining the level of interest of people may be, for example, a social incident, a topic on the Internet, etc. In this case, information is acquired via the Internet. You may Social incidents and those that are talked about on the Internet may be identified by those that are ranked high in the news and those that are ranked high in the search word, such social incidents, the Internet. The price determination unit may set the amount of money higher than that of advertisements related to other products, etc., for advertisements related to those that are talked about above, or for advertisements related to products, etc. that are highly related to these. It should be noted that, from a social event or a topic on the Internet, an advertisement related to such an event may be specified by using a predetermined rule or artificial intelligence technology.
　なお、一実施形態のシステムは、広告枠に対する金額を決定して表示した後に広告提供者が広告を行うかどうかを判断するような流れに限らず、例えば、広告提供者との間で一定の広告枠に対して広告を提供する契約の上で、その金額を決定する手段として、金額決定部が金額を決定する態様であってもよい。この場合、金額決定要素として、広告提供者から提供された広告であって、現実に提供された広告に係る視聴情報が用いられてよい。すなわち、この場合、金額決定部は、提供された広告に係る視聴情報を用いて、金額を決定してよい。なお、金額決定部は、他の金額決定要素を用いてよく、上述の人々の関心の高さを示す情報として、予測値ならず、実測値を用いて、金額を決定してよい。 Note that the system of one embodiment is not limited to a flow in which the advertisement provider determines whether to perform an advertisement after determining and displaying the amount of money for the advertisement space, and for example, a certain amount of time is set between the advertisement provider and the advertisement provider. The amount determining unit may determine the amount of money as a means of determining the amount of money under the contract of providing the advertisement to the advertisement space. In this case, the viewing information related to the advertisement actually provided by the advertisement provider may be used as the amount determining element. That is, in this case, the amount determination unit may determine the amount using the viewing information related to the provided advertisement. The monetary amount determination unit may use other monetary amount determining elements, and may determine the amount of money by using an actually measured value instead of a predicted value as information indicating the high level of interest of the above-mentioned people.
　一実施形態のシステムは、
　一又は複数の広告場所システムから取得した画像に係る情報を取得する取得部と、
　前記画像に係る情報を用いて金額を決定する決定部と、
　前記決定された金額を、広告提供者システムに送信する送信部と、
を備えるシステムであってよい。 The system of one embodiment is
An acquisition unit that acquires information related to images acquired from one or more advertising location systems,
A determination unit that determines the amount of money using the information related to the image;
A transmitter for transmitting the determined amount to the advertisement provider system,
It may be a system provided with.
３．７．実施形態７
　一実施形態のシステムは、入札機能を有する入札部を備えてよい。入札部を備えたシステムは、例えば、実施形態５で説明したように、他の情報処理装置と接続可能とされていてよい。入札部は、広告枠について、入札を行う機能を有する。入札部は、複数の広告提供システムから広告枠に対する金額を夫々取得し、最も高い金額を提示した一の広告提供システムに対して、広告枠を設定してよい。 3.7. Embodiment 7
The system of an embodiment may include a bid section with bidding capabilities. The system including the bidding unit may be connectable to other information processing devices, for example, as described in the fifth embodiment. The bid section has a function of bidding on the advertising space. The bidding department may acquire the amount of money for the ad space from a plurality of ad providing systems, and set the ad space for one ad providing system that presents the highest amount.
　入札部は、広告の入札に係る情報を、複数の広告提供者システムに送信し、前記複数の広告提供者システムは前記入札に係る情報を表示してよい。ここで、広告の入札に係る情報は、入札の手法や、入札募集の期間、及び／又は、対象となる広告枠に係る情報、などであってよい。広告の入札に係る情報が伝達されることにより、広告の入札について理解できる利点がある。 The bid section may transmit information regarding the bid of the advertisement to a plurality of advertisement provider systems, and the plurality of advertisement provider systems may display the information regarding the bid. Here, the information related to the bid for the advertisement may be a bid method, a period for bid invitation, and/or information related to the target advertising space. By transmitting the information related to the advertisement bid, there is an advantage that the advertisement bid can be understood.
　また、広告枠に係る情報は、例えば、広告が提供される予定の場所、前記場所における過去の広告枠の金額、前記場所に係る広告場所レポート、などであってよい。前記場所に係る広告場所レポートは、上述のとおり、前記広告場所システムに係る視聴情報や、前記広告場所システムに係る画像に係る情報であってよい。これらの情報により、広告提供者は、入札金額の決定の参考とできる利点がある。 Further, the information related to the advertising space may be, for example, the place where the advertisement is scheduled to be provided, the amount of the past advertising space at the place, the advertisement place report related to the place, and the like. As described above, the advertisement place report related to the place may be viewing information related to the advertisement place system or information related to an image related to the advertisement place system. This information has an advantage that the advertisement provider can refer to the determination of the bid amount.
　例えば、特に、広告場所レポートの一の情報としての画像に係る情報として、属性情報を得た場合、ターゲット広告の想定属性情報との関係の強さを考慮することにより、広告提供者は、どの程度の入札金額とする価値があるかを検討できる利点がある。例えば、ターゲット広告の想定属性情報が３５歳以上の男性の会社員である場合において、画像に係る情報としての属性情報が２０歳代女性であれば価値は低いとして入札金額を低くしてもよいが、画像に係る情報としての属性情報が５０歳代の男性であればそれなりに価値が高いとして入札金額を高く設定するなどの決定を、広告提供者において可能となる利点がある。 For example, in particular, when the attribute information is obtained as the information related to the image as one piece of information of the advertisement place report, the advertisement provider can determine the attribute information by considering the strength of the relationship with the assumed attribute information of the target advertisement. There is an advantage that you can consider whether it is worth the bid amount. For example, when the assumed attribute information of the target advertisement is a male office worker aged 35 or over, if the attribute information as the information related to the image is a woman in her twenties, the value may be low and the bid amount may be lowered. However, if the attribute information as the information related to the image is a man in his 50s, there is an advantage that the advertisement provider can make a decision such as setting a high bid amount because the value is high as it is.
　また、入札に係る情報として、入札金額の最低価格を含んでもよい。また、入札金額の最低金額は、人が予め定めた金額でもよいし、システムが算出した金額でもよい。また、システムが金額決定部を有している場合において、システムが算出した金額の一例として、金額決定部が決定した金額であってもよい。この場合、システムが広告枠と関連して算出した金額が最低価格となり、広告は当該価格よりも高いことが保証されるため、システム利用者は、入札により低い金額に決定されることを回避できる利点がある。 Also, the minimum price of the bid amount may be included as the information related to the bid. The minimum bid amount may be a predetermined amount set by a person or a system-calculated amount. Further, when the system has an amount determination unit, the amount determined by the amount determination unit may be used as an example of the amount calculated by the system. In this case, the amount calculated by the system in relation to the advertisement space is the lowest price, and the advertisement is guaranteed to be higher than the price, so the system user can avoid being determined by the bid. There are advantages.
　また、入札に係る情報として、入札金額の最低金額を含む場合、入札に係る情報は、更に、前記最低金額の算出の方法を含んでもよい。広告提供者システムが、かかる入札に係る情報として、最低金額の算出の方法を表示する場合、広告提供者は、入札の最低金額がどのように算出されたのかを理解する参考となる情報を知ることができる利点がある。 When the minimum bid amount is included as the bid information, the bid information may further include the method of calculating the minimum amount. When the advertisement provider system displays the method of calculating the minimum amount of money as the information related to the bid, the advertisement provider knows information that serves as a reference to understand how the minimum amount of bid is calculated. There is an advantage that can be.
　広告提供者は、上述の表示された種々の情報を参考にして、所定期間に、広告枠について入札金額を決定して広告提供者システムに入力し、広告提供者システムは、前記広告枠と関連付けて入札金額をシステムに送信する。 The advertisement provider determines the bid amount for the advertisement frame and inputs it to the advertisement provider system in a predetermined period by referring to the various information displayed above, and the advertisement provider system associates with the advertisement frame. And send the bid amount to the system.
　システムは、所定期間に、一又は複数の広告提供者システムから取得した各金額のうち、最も高い金額（「落札金額」ということもある。）を判定し、かかる金額を提供した広告提供者（「落札者」ということもある。）に係る広告提供者システムに、前記広告枠について、落札金額を送信する。 The system determines the highest amount of money (sometimes referred to as the "successful bid amount") of the respective amounts of money acquired from one or more advertisement provider systems during a predetermined period, and the advertisement provider who provided such amount ( The winning bid amount is transmitted to the advertising provider system according to (sometimes referred to as the "successful bidder") for the advertising space.
　落札者に係る広告提供者システムは、前記広告枠と前記落札金額とを表示してよい。 The advertisement provider system relating to the winning bidder may display the advertising space and the winning bid amount.
　次に、一実施形態のシステムが、入札部を備えている場合における流れを、図２５を用いて説明する。まず、入札部は、広告の入札に係る情報を、直接的又は間接的に複数の広告提供者システムに送信する（２５０１）。広告提供者システムは前記入札に係る情報を表示する（２５０２）。次に、広告提供者システムは、入力された入札金額を、前記広告枠と関連付けて入札金額をシステムに直接または間接的に送信する（２５０３）。次に、入札部は、落札金額を決定する（２５０４）。次に、入札部は、落札金額と、必要に応じて広告枠に係る情報と、を落札者に係る広告提供者システムに直接的又は間接的に送信する（２５０５）。落札者に係る広告提供者システムは、前記広告枠と前記落札金額とを表示する（２５０６）。 Next, the flow when the system of one embodiment is provided with a bidding section will be described with reference to FIG. First, the bidding unit directly or indirectly transmits information related to an advertisement bid to a plurality of advertisement provider systems (2501). The advertisement provider system displays the information related to the bid (2502). Next, the advertisement provider system associates the entered bid amount with the advertisement space and transmits the bid amount directly or indirectly to the system (2503). Next, the bid section determines the winning bid amount (2504). Next, the bid section directly or indirectly transmits the winning bid amount and, if necessary, the information regarding the advertising space to the advertisement provider system relating to the winning bidder (2505). The advertisement provider system related to the winning bidder displays the advertisement space and the winning bid amount (2506).
　一実施形態のシステムは、
　入札に係る情報を、複数の広告提供者システムに送信する送信部と、
　前記入札に係る情報に対応して取得した一又は複数の金額を受領する取得部と、
　前記取得した一又は複数の金額の一を決定する決定部と、
を備えるシステムであってよい。 The system of one embodiment is
A transmitter that sends bid information to multiple ad provider systems,
An acquisition unit that receives one or more amounts of money acquired corresponding to the information relating to the bid,
A determining unit that determines one of the acquired one or a plurality of amounts,
It may be a system provided with.
　本願書類の実施例において述べた発明例は、本願書類で説明されたものに限らず、その技術的思想の範囲内で、種々の例に適用できることはいうまでもない。例えば、本願書類の実施例において、情報処理装置の画面に提示される情報は、他の情報処理装置における画面で表示できるために前記他の情報処理装置に対して送信できるよう、各実施例のシステムが構成されてもよい。 Needless to say, the invention examples described in the embodiments of the present application document are not limited to those described in the present application document and can be applied to various examples within the scope of the technical idea thereof. For example, in the embodiment of the document of the present application, the information presented on the screen of the information processing device can be displayed on the screen of the other information processing device, so that the information can be transmitted to the other information processing device. The system may be configured.
　また、本願書類で説明される処理及び手順は、実施形態において明示的に説明されたものによってのみならず、ソフトウェア、ハードウェア又はこれらの組み合わせによっても実現可能なものであってよい。また、本願書類で説明される処理及び手順は、それらの処理・手順をコンピュータプログラムとして実装し、各種のコンピュータに実行させることが可能であってよい。またこれらのコンピュータプログラムは、記憶媒体に記憶されてよい。また、これらのプログラムは、非一過性又は一時的な記憶媒体に記憶されてよい。 Further, the processes and procedures described in the documents of the present application may be feasible not only by those explicitly described in the embodiments but also by software, hardware or a combination thereof. Further, the processes and procedures described in this document may be implemented by various computers by implementing the processes and procedures as a computer program. Further, these computer programs may be stored in a storage medium. Moreover, these programs may be stored in a non-transitory or temporary storage medium.
１０１、２０２ａ、２０２ｂ、３０２ａ、３０２ｂ、３０２ｃ、４０２ａ、４０２ｂ　広告提供装置
１０２ａ、１０２ｂ　人
１０３、２０１ａ、２０１ｂ、３０１ａ、３０１ｂ、３０１ｃ、４０１ａ、４０１ｂ　撮像装置
１０４　情報処理装置
１０５　演算装置
１０６　ネットワーク
１０７　記憶装置
１０８　入力装置
１０９　表示装置
１１０　バス
１１１　通信ＩＦ
２０３、３０３、３０３ａ、３０３ｂ、３０３ｃ、４０３、４０３ｂ　システム
１９００、２１００　システム
１９０１、１９０２、１９０３、２１０１、２１０２、２１０３　広告場所提供システム
１９０４、１９０５、１９０６、２１０４、２１０５、２１０６　広告提供者システム
１９０７　システム端末
２３０１　システム
２３０２ａ、２３０２ｂ、２３０２ｃ　広告提供者システム
２３０３ａ、２３０３ｂ　広告場所システム 101, 202a, 202b, 302a, 302b, 302c, 402a, 402b Advertisement providing device 102a, 102b Person 103, 201a, 201b, 301a, 301b, 301c, 401a, 401b Imaging device 104 Information processing device 105 Computing device 106 Network 107 Storage Device 108 Input device 109 Display 110 Bus 111 Communication IF
203, 303, 303a, 303b, 303c, 403, 403b system 1900, 2100 system 1901, 1902, 1903, 2101, 2102, 2103 advertising location providing system 1904, 1905, 1906, 2104, 2105, 2106 advertising provider system 1907 system Terminal 2301 system 2302a, 2302b, 2302c Advertising provider system 2303a, 2303b Advertising place system

Claims (15)

  1. 　視聴情報を生成する視聴情報生成部を備えるシステムであって、
    　前記視聴情報生成部は、
    　　第１広告に基づく一又は複数の第１画像に係る第１視聴情報と、
    　　属性情報に基づいて選択された第２広告に基づく一又は複数の第２画像に係る第２視聴情報と、
    　を生成するシステム。     A system including a viewing information generation unit that generates viewing information,
    The viewing information generation unit,
    First viewing information related to one or more first images based on the first advertisement,
    Second viewing information related to one or more second images based on the second advertisement selected based on the attribute information, and
    A system to generate.
  2. 　前記第１視聴情報と、前記第２視聴情報と、の関係を示す情報を生成する対比部を備える、
    請求項１に記載のシステム。     And a comparison unit that generates information indicating a relationship between the first viewing information and the second viewing information.
    The system of claim 1.
  3. 　前記視聴情報生成部は、顔の輪郭に基づく興味表示情報を用いる、
    請求項１又は２のいずれか１項に記載のシステム。     The viewing information generation unit uses the interest display information based on the contour of the face,
    The system according to any one of claims 1 or 2.
  4. 　前記第１広告は、ランダムに選択され、
    　前記第２広告は、人予測情報に基づいて、選択された、
    請求項１乃至３のいずれか１項に記載のシステム。     The first advertisement is randomly selected,
    The second advertisement is selected based on the person prediction information,
    The system according to any one of claims 1 to 3.
  5. 　前記第２広告は、想定属性情報に基づいて選択された、
    請求項１乃至４のいずれか１項に記載のシステム。     The second advertisement is selected based on assumed attribute information,
    The system according to any one of claims 1 to 4.
  6. 　前記第２広告は、改善された統計処理データに基づいて選択された、
    請求項１乃至５のいずれか１項に記載のシステム。     The second advertisement was selected based on improved statistically processed data,
    The system according to any one of claims 1 to 5.
  7. 　前記第１広告は、想定属性情報に基づいて選択され、
    　前記第２広告は、改善された統計処理データに基づいて選択された、
    請求項１乃至３、５及び６のいずれか１項に記載のシステム。     The first advertisement is selected based on assumed attribute information,
    The second advertisement was selected based on improved statistically processed data,
    A system according to any one of claims 1 to 3, 5 and 6.
  8. 　前記想定属性情報に基づいて選択された広告は、人予測情報に係る属性情報と所定の関係にある想定属性情報と関連付けられた広告である、
    請求項５又は７に記載のシステム。     The advertisement selected based on the assumed attribute information is an advertisement associated with the assumed attribute information having a predetermined relationship with the attribute information related to the person prediction information,
    The system according to claim 5 or 7.
  9. 　前記改善された統計処理データに基づいて選択された広告は、人予測情報に係る属性情報と所定の関係にある属性情報と関連付けられた広告である、
    請求項６又は７に記載のシステム。     The advertisement selected based on the improved statistically processed data is an advertisement associated with attribute information having a predetermined relationship with attribute information related to person prediction information,
    The system according to claim 6 or 7.
  10. 　前記関係を示す情報は、前記第１視聴情報と、前記第２視聴情報と、の割合である、
    請求項２に記載のシステム。     The information indicating the relationship is a ratio of the first viewing information and the second viewing information.
    The system according to claim 2.
  11. 　前記属性情報は、人属性情報及びファッションアイテム属性情報を含む、
    請求項１乃至１０のいずれか１項に記載のシステム。     The attribute information includes person attribute information and fashion item attribute information,
    The system according to any one of claims 1 to 10.
  12. 　前記第１画像は、前記第１広告により影響を受ける可能性のある位置にいる一又は複数の人を撮像したものであり、
    　前記第２画像は、前記第２広告により影響を受ける可能性のある位置にいる一又は複数の人を撮像したものである、
    請求項１乃至１１のいずれか１項に記載のシステム。     The first image is an image of one or more people at positions that may be affected by the first advertisement.
    The second image is an image of one or more people at positions that may be affected by the second advertisement.
    The system according to any one of claims 1 to 11.
  13. 　前記人予測情報は、広告により影響を受ける可能性のある位置に来ると予想される人が有する属性情報を含む、
    請求項４、８、又は９に記載のシステム。     The person prediction information includes attribute information of a person who is expected to come to a position that may be affected by an advertisement,
    The system according to claim 4, 8 or 9.
  14. 　コンピュータが、
    　　第１広告に基づく一又は複数の第１画像に係る第１視聴情報を生成するステップ、
    　　属性情報に基づいて選択された第２広告に基づく一又は複数の第２画像に係る第２視聴情報を生成するステップ、
    　を実行する方法。     Computer
    Generating first viewing information for one or more first images based on the first advertisement,
    A step of generating second viewing information relating to one or more second images based on a second advertisement selected based on attribute information,
    How to do.
  15. コンピュータを、請求項１乃至１３のいずれか一項に記載のシステムとして機能させるためのプログラム。 A program for causing a computer to function as the system according to any one of claims 1 to 13.
PCT/JP2019/008328 2019-03-04 2019-03-04 Information processing system, information processing device, server device, program, and method WO2020178935A1 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
PCT/JP2019/008328 WO2020178935A1 (en) 2019-03-04 2019-03-04 Information processing system, information processing device, server device, program, and method
JP2019512700A JP6875503B2 (en) 2019-03-04 2019-03-04 Information processing system, information processing device, server device, program, or method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/008328 WO2020178935A1 (en) 2019-03-04 2019-03-04 Information processing system, information processing device, server device, program, and method

Publications (1)

Publication Number Publication Date
WO2020178935A1 true WO2020178935A1 (en) 2020-09-10

Family

ID=72338624

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2019/008328 WO2020178935A1 (en) 2019-03-04 2019-03-04 Information processing system, information processing device, server device, program, and method

Country Status (2)

Country Link
JP (1) JP6875503B2 (en)
WO (1) WO2020178935A1 (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023063124A1 (en) * 2021-10-11 2023-04-20 株式会社Ｎｔｔドコモ Region value evaluation system

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030014304A1 (en) * 2001-07-10 2003-01-16 Avenue A, Inc. Method of analyzing internet advertising effects
JP2007293544A (en) * 2006-04-24 2007-11-08 Shunkosha:Kk Marketing support apparatus and marketing support method
JP2012123727A (en) * 2010-12-10 2012-06-28 Hitachi Solutions Ltd Advertising effect measurement server, advertising effect measurement device, program and advertising effect measurement system
JP2016038877A (en) * 2014-08-11 2016-03-22 カシオ計算機株式会社 Display system and display method
JP2017187927A (en) * 2016-04-05 2017-10-12 株式会社バリュー・アップ Advertisement effect verification system for advertisement frame
JP2018032174A (en) * 2016-08-23 2018-03-01 富士ゼロックス株式会社 Information processing device and program

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20030014304A1 (en) * 2001-07-10 2003-01-16 Avenue A, Inc. Method of analyzing internet advertising effects
JP2007293544A (en) * 2006-04-24 2007-11-08 Shunkosha:Kk Marketing support apparatus and marketing support method
JP2012123727A (en) * 2010-12-10 2012-06-28 Hitachi Solutions Ltd Advertising effect measurement server, advertising effect measurement device, program and advertising effect measurement system
JP2016038877A (en) * 2014-08-11 2016-03-22 カシオ計算機株式会社 Display system and display method
JP2017187927A (en) * 2016-04-05 2017-10-12 株式会社バリュー・アップ Advertisement effect verification system for advertisement frame
JP2018032174A (en) * 2016-08-23 2018-03-01 富士ゼロックス株式会社 Information processing device and program

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
SATO, YOHEI.: "Strategic Data Mining. First Edition", 25 August 2014 (2014-08-25), pages 176 - 181 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023063124A1 (en) * 2021-10-11 2023-04-20 株式会社Ｎｔｔドコモ Region value evaluation system

Also Published As

Publication number Publication date
JPWO2020178935A1 (en) 2021-03-11
JP6875503B2 (en) 2021-05-26

Similar Documents

Publication Publication Date Title
US10963944B2 (en) System and method for fashion recommendations
US8725567B2 (en) Targeted advertising in brick-and-mortar establishments
US20080004951A1 (en) Web-based targeted advertising in a brick-and-mortar retail establishment using online customer information
US20210241321A1 (en) Method and system for requesting and transmitting marketing images or video
US11157988B2 (en) System and method for fashion recommendations
CN102150178A (en) System and method for using supplemental content items for search criteria for identifying other content items of interest
JP7313052B2 (en) Information processing system, information processing device, server device, program, or method
US20220343275A1 (en) Production and logistics management
US20190172119A1 (en) Centralized system of aggregated data sources, personalized advertisement, matching logic, features, and methods of use
JP2019204431A (en) Computer program and method
US11544768B2 (en) System and method for fashion recommendations
US11551378B2 (en) Information processing system, information processing device, server device, program, and method to identify a position in a figure
JP6781443B2 (en) Information processing system, information processing device, server device, program, or method
WO2020178935A1 (en) Information processing system, information processing device, server device, program, and method
JP6712739B1 (en) Information processing system, information processing device, server device, program, or method
US11430043B2 (en) System and method for fashion recommendations
JP6941846B2 (en) Information processing system, information processing device, server device, program, or method
US11526925B2 (en) System and method for fashion recommendations
KR102577767B1 (en) Location-based clothing recommendation advertisement service apparatus
US20160092930A1 (en) Method and system for gathering data for targeted advertisements
US20140052784A1 (en) Online fashion community system and method
Elverina et al. Digitalization of fashion: A case study on digital marketing strategy of modest fashion company during pandemic
WO2013183053A2 (en) Wearable articles identification
US11328339B2 (en) System and method for fashion recommendations
US20230351654A1 (en) METHOD AND SYSTEM FOR GENERATING IMAGES USING GENERATIVE ADVERSARIAL NETWORKS (GANs)

Legal Events

Date Code Title Description
ENP Entry into the national phase

Ref document number: 2019512700

Country of ref document: JP

Kind code of ref document: A

121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 19917837

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 19917837

Country of ref document: EP

Kind code of ref document: A1