WO2020178935A1 - Système de traitement d'informations, dispositif de traitement d'informations, dispositif serveur, programme et procédé - Google Patents

Système de traitement d'informations, dispositif de traitement d'informations, dispositif serveur, programme et procédé 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
English (en)
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 JP2019512700A priority Critical patent/JP6875503B2/ja
Priority to PCT/JP2019/008328 priority patent/WO2020178935A1/fr
Publication of WO2020178935A1 publication Critical patent/WO2020178935A1/fr

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.

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Le problème décrit par la présente invention est d'utiliser des informations provenant d'une personne dans une position potentiellement soumise à une publicité. La solution selon la présente invention porte sur un système comprenant une unité de génération de taux de téléspectateurs qui génère un taux de téléspectateurs, et une unité de comparaison qui compare les taux de téléspectateurs. L'unité de génération de taux de téléspectateurs génère un premier taux de téléspectateurs relatif à une première image dans laquelle une première publicité est affichée, et un second taux de téléspectateurs relatif à une seconde image dans laquelle une seconde publicité est affichée. L'unité de comparaison compare le premier taux de téléspectateurs et le second taux de téléspectateurs. Dans le système, la seconde publicité est sélectionnée sur la base d'informations d'attribut. En outre, dans le système, l'unité de génération de taux de téléspectateurs utilise des informations d'affichage d'intérêt sur la base d'un contour du visage.　
PCT/JP2019/008328 2019-03-04 2019-03-04 Système de traitement d'informations, dispositif de traitement d'informations, dispositif serveur, programme et procédé WO2020178935A1 (fr)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2019512700A JP6875503B2 (ja) 2019-03-04 2019-03-04 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
PCT/JP2019/008328 WO2020178935A1 (fr) 2019-03-04 2019-03-04 Système de traitement d'informations, dispositif de traitement d'informations, dispositif serveur, programme et procédé

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/JP2019/008328 WO2020178935A1 (fr) 2019-03-04 2019-03-04 Système de traitement d'informations, dispositif de traitement d'informations, dispositif serveur, programme et procédé

Publications (1)

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

Family

ID=72338624

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/JP2019/008328 WO2020178935A1 (fr) 2019-03-04 2019-03-04 Système de traitement d'informations, dispositif de traitement d'informations, dispositif serveur, programme et procédé

Country Status (2)

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

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2023063124A1 (fr) * 2021-10-11 2023-04-20 株式会社Ｎｔｔドコモ Système d'évaluation de valeur de région

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 (ja) * 2006-04-24 2007-11-08 Shunkosha:Kk マーケティング支援装置及びマーケティング支援方法
JP2012123727A (ja) * 2010-12-10 2012-06-28 Hitachi Solutions Ltd 広告効果測定サーバ、広告効果測定装置、プログラム、広告効果測定システム
JP2016038877A (ja) * 2014-08-11 2016-03-22 カシオ計算機株式会社 表示システム及び表示方法
JP2017187927A (ja) * 2016-04-05 2017-10-12 株式会社バリュー・アップ 広告枠の広告効果検証システム
JP2018032174A (ja) * 2016-08-23 2018-03-01 富士ゼロックス株式会社 情報処理装置及びプログラム

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 (ja) * 2006-04-24 2007-11-08 Shunkosha:Kk マーケティング支援装置及びマーケティング支援方法
JP2012123727A (ja) * 2010-12-10 2012-06-28 Hitachi Solutions Ltd 広告効果測定サーバ、広告効果測定装置、プログラム、広告効果測定システム
JP2016038877A (ja) * 2014-08-11 2016-03-22 カシオ計算機株式会社 表示システム及び表示方法
JP2017187927A (ja) * 2016-04-05 2017-10-12 株式会社バリュー・アップ 広告枠の広告効果検証システム
JP2018032174A (ja) * 2016-08-23 2018-03-01 富士ゼロックス株式会社 情報処理装置及びプログラム

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 (fr) * 2021-10-11 2023-04-20 株式会社Ｎｔｔドコモ Système d'évaluation de valeur de région

Also Published As

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

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
JP6516943B1 (ja) 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
US11157988B2 (en) System and method for fashion recommendations
US12100018B2 (en) Production and logistics management
CN102150178A (zh) 将补充内容项目用作识别其他所关注的内容项目的搜索标准的系统和方法
JP7313052B2 (ja) 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
US20190172119A1 (en) Centralized system of aggregated data sources, personalized advertisement, matching logic, features, and methods of use
JP2019204431A (ja) コンピュータプログラムおよび方法
US11544768B2 (en) System and method for fashion recommendations
JP6781443B2 (ja) 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
Elverina et al. Digitalization of fashion: A case study on digital marketing strategy of modest fashion company during pandemic
WO2020178935A1 (fr) Système de traitement d'informations, dispositif de traitement d'informations, dispositif serveur, programme et procédé
JP6712739B1 (ja) 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
US11430043B2 (en) System and method for fashion recommendations
JP6941846B2 (ja) 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
US11526925B2 (en) System and method for fashion recommendations
KR102577767B1 (ko) 위치기반 의류추천 광고서비스 장치
US20160092930A1 (en) Method and system for gathering data for targeted advertisements
WO2013183053A2 (fr) Identification d'article pouvant être porté
US11328339B2 (en) System and method for fashion recommendations
US20220197963A1 (en) System and Method for Matching Consumers with Fashion Influencers Based on Individual Body Measurements
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