JP6865537B2 - Information processing equipment, information processing methods, and programs - Google Patents

Description

The present invention relates to an information processing device, a control method thereof, and a program.

In recent years, it has been common practice to recommend photography equipment such as cameras and lenses to promote sales by means such as direct mail. However, the shooting styles of users are diverse, and the types of shooting equipment are also diverse. Since it is troublesome for the user to recommend all kinds of shooting equipment, it is desired to narrow down the recommendation to the most suitable shooting equipment for the user.

In such an environment, a method of selecting and recommending a shooting device suitable for the user by analyzing an image taken by the user has been proposed. For example, in Patent Document 1, when a user requests optimal image editing advice for an image, the system analyzes the image and gives image editing advice, and at the same time, a photographing device capable of taking an image similar to the edited image is provided. The recommended method has been proposed. Further, in Patent Document 2, when a user posts an image on a posting site, a shooting theme suitable for shooting theme and failure avoidance is recommended by using information such as a shooting theme obtained by analyzing the image and a cause of failure. A method has been proposed.

Japanese Unexamined Patent Publication No. 2003-6510 Japanese Unexamined Patent Publication No. 2008-299472

However, the shooting environment and subject desired by the user are not always the same and may change over time. In order to more effectively recommend items such as shooting equipment, it is desirable to recommend items suitable for the shooting environment and subject that the user plans to shoot. For example, if you are a user planning a trip, it is desirable to recommend items suitable for your trip before you go on a trip.

In the methods of Patent Document 1 and Patent Document 2, the shooting equipment is recommended for the first time at the timing of editing or posting the image taken on the trip. Therefore, the user can select the shooting equipment suitable for the trip, but the recommendation is made after the trip, and the recommendation is not necessarily made at the timing suitable for the user.

In view of the above problems, it is an object of the present invention to recommend items related to photography at an appropriate timing for the user.

As one means for achieving the above object, the information processing apparatus of the present invention has the following configuration. That is, based on the range determining means for determining the time range used to recommend the item related to the image or shooting to the user and the shooting frequency in the time range of the image having the attribute information corresponding to the recommended item, the item It has a setting means for setting a recommended frequency and a recommended means for recommending the item according to the recommended frequency set by the setting means .

According to the present invention, it is possible to recommend items related to shooting at an appropriate timing for the user.

The figure which shows the configuration example of the item recommendation system. The figure which shows the hardware configuration example of the image management apparatus. The figure which shows the functional structure example of the image management apparatus in Embodiment 1. FIG. The figure which shows an example of the item attribute information management table. The figure which shows an example of the shooting history table. The flowchart which shows the operation which recommends the candidate item in Embodiment 1. The flowchart which shows the operation which determines whether or not the candidate item is recommended in Embodiment 1. The figure which shows the functional structure example of the image management apparatus in Embodiment 2. FIG. The flowchart which shows the operation which determines whether or not the candidate item is recommended in Embodiment 2. The figure which shows the functional structure example of the image management apparatus in Embodiment 2. FIG. The figure which shows an example of the candidate item list. The flowchart which shows the operation which recommends the candidate item in Embodiment 3. A flowchart showing an operation of selecting a recommended item in the third embodiment.

Hereinafter, the present invention will be described in detail based on the embodiments with reference to the accompanying drawings. The configuration shown in the following embodiments is only an example, and the present invention is not limited to the illustrated configuration.

<Embodiment 1>
As the first embodiment, an item recommendation system that determines whether or not a recommended candidate item (hereinafter referred to as a candidate item) that is a recommended candidate is recommended, and determines that the candidate item is recommended to the user when it is determined that the item is recommended. explain. In the following description, the "item" deals with a lens, but any item related to an image or a shooting such as a camera body, a tripod, a printer, an image editing application, or the like may be used. In addition, camera bags, clothing, travel, travel-related products, sports-related products, and the like may be treated as recommended items as long as they can be associated with image information.

FIG. 1 is a diagram showing a configuration example of the item recommendation system 100 in this embodiment. The item recommendation system 100 includes a management server 101, an image management device 102, and a network 103.

The management server 101 manages information on candidate items. The candidate item information includes the item type of the candidate item (for example, a single focus lens, a standard zoom lens, a telephoto zoom lens, etc.), a URL of a Web page in which the candidate item information is described, and the like. The image management device 102 functions as an information processing device, and is, for example, a PC application that manages images taken by a user, a photo storage, or the like. The image management device 102 acquires information on candidate items from the management server 101 through a network 103 such as the Internet. When the image management device 102 determines that the acquired candidate item can be recommended, the image management device 102 recommends the candidate item to the user by displaying the information of the candidate item on a display (display 206 in FIG. 2).

FIG. 2 is a diagram showing a hardware configuration example of the image management device 102. The CPU (Cetral Processing Unit) 201 is a central processing unit that controls a computer system. When the CPU 201 executes information calculation and processing, and control of each hardware based on the control program, each functional configuration and processing described later is realized. The RAM (Random Access Memory) 202 functions as the main memory of the CPU 201 as a work memory required for loading an execution program and executing the program. The ROM (Read Only Memory) 203 records a control program that defines an operation processing procedure of the CPU 201. The ROM 203 includes a program ROM in which basic software (OS: Operating System), which is a system program for controlling a computer system device, is recorded, and a data ROM in which information necessary for operating the system is recorded. An HDD (Hard Disc Driver) 209 may be used instead of the ROM 203.

The NETIF (Network Interface) 204 controls input / output of data such as image data and candidate item information transmitted / received via the network. The VRAM (Video RAM) 205 develops an image displayed on the screen of the display 206. The display 206 is a display device (display unit) such as a liquid crystal display or a liquid crystal TV. The input controller 207 is a controller that controls an input signal from the input device 208. The input device 208 is an external input device (for example, a touch panel, a keyboard, a mouse, a remote controller) for receiving an operation instruction from a user. The HDD 209 is a storage device, and is used for storing application programs and data such as images. The input IF 210 is an interface for connecting to an external device such as a CD (DVD) -ROM drive or a memory card drive, and is used, for example, for reading image data taken by a digital camera. The input / output bus 211 is an input / output bus (address bus, data bus, and control bus) for connecting between the above-mentioned units.

FIG. 3 is a diagram showing a functional configuration example of the image management device 102 according to the present embodiment. The image management device 102 is composed of a candidate item information acquisition unit 301, an image management unit 302, a recommendation approval / disapproval determination unit 309, and a recommendation unit 303 as a functional configuration.

The candidate item information acquisition unit 301 acquires the candidate item information from the management server 101. The image management unit 302 stores and manages images taken by the user in the past. The recommendation approval / disapproval determination unit 309 will be described later. When the recommendation approval / disapproval determination unit 309 determines that the candidate item is recommended, the recommendation unit 303 recommends the candidate item to the user by displaying the information of the candidate item on the display 206.

Subsequently, the recommendation approval / disapproval determination unit 309 will be described. The recommendation propriety determination unit 309 determines the recommendation propriety of the candidate item based on the information of the candidate item acquired from the candidate item information acquisition unit 301 and the information of the image acquired from the image management unit 302. The item attribute management unit 304 manages attribute information (referred to as item attribute information) corresponding to the item type in the item attribute information management table. The method of managing the item attribute information by the item attribute management unit 304 will be described later with reference to FIG.

The image attribute acquisition unit 306 acquires an image from the image management unit 302, analyzes the image, and uses the obtained result and metadata such as Exif given to the image to obtain the attribute information of the image ( (Called image attribute information) is acquired. The shooting history management unit 305 acquires an image from the image management unit 302, and creates a shooting history table based on the image and the attribute information acquired from the image attribute acquisition unit 306. The shooting history management unit 305 manages the shooting history based on the created shooting history table. The shooting history table created by the shooting history management unit 305 will be described later with reference to FIG.

The period calculation unit 308 calculates the period (time range) of the shooting history to be used for determining the recommendation propriety as the determination period based on the time information of the timing such as the current date. That is, the period calculation unit 308 performs the time range determination process used to determine the item recommended to the user. The determination unit 307 acquires the number of times of shooting in the determination period calculated by the period calculation unit 308 from the shooting history management unit 305, and determines whether or not the candidate item is recommended according to the attribute information and the number of times of shooting. That is, the determination unit 307 performs an item determination process for determining an item recommended to the user according to the number of times an image having a predetermined attribute is taken in the time range as the determination period. The method of determining whether or not the candidate item is recommended by the determination unit 307 will be described later with reference to FIGS. 6 and 7.

The system configuration and functional configuration of this embodiment are examples, and an image management server having the function of the image management unit 302 may be added to the system, or a recommended terminal having the function of the recommended unit 303 may be added to the system. May be good.

Subsequently, a method of managing item attribute information by the item attribute management unit 304 will be described with reference to FIG. FIG. 4 is a diagram showing an example of the item attribute information management table 400 used for managing the item attribute information. The item attribute information management table 400 is composed of an ID 401, an item type 402, a camera type 403, and a shooting scene 404.

ID 401 is an ID for identifying each of the item types 402. Item type 402 is information representing an item. The camera type 403 is information indicating the type of the camera. The shooting scene 404 is a shooting scene suitable for the corresponding item type (that is, the lens type in the present embodiment) and the camera type. In FIG. 4, in the shooting scene 404, one shooting scene is set for the corresponding item type and camera type, but a plurality of shooting scenes may be set. As described above, in the present embodiment, the camera type 403 and the shooting scene 404 are referred to as item attribute information.

The item attribute information management table 400 shown in FIG. 4 is an example, and the item attribute information may be other information as long as it can be associated with the item type. Further, the item attribute information management table 400 shown in FIG. 4 is assumed to be preset in the image management device 102, but is acquired in a timely manner via an external device or medium or by a user's operation. You may.

Next, the shooting history table created by the shooting history management unit 305 will be described with reference to FIG. FIG. 5 is a diagram showing an example of the shooting history table 500. The shooting history table 500 is composed of ID 501, shooting date 502, camera type 503, shooting scene 504, and number of shots 505.

ID 501 is an ID for identifying each shooting event in the shooting history. The shooting date 502 is information on the date and time when the shooting was performed. The information of the shooting date 502 can be acquired by the image attribute acquisition unit 306 analyzing the image. The camera type 503 is information representing the type of camera used for shooting. The shooting scene 504 is information indicating what kind of scene the image was shot in. As described above, in the present embodiment, the camera type 503 and the shooting scene 504 are referred to as image attribute information. The image attribute information is obtained by the image attribute acquisition unit 306 analyzing the image. As a technique for recognizing a shooting scene by image analysis, a method using an image feature expression of Bag of visual words is generally known. The number of shots 505 is the number of images having the same image attribute information on the same shooting date. In the present embodiment, the number of times of photography 505 is the number of times of photography per day, but the number of times of photography in another period such as every week may be used. Further, although the number of images is used for the number of shots 505, a normalized value may be used. As described above, the shooting history table 500 shows a list of shooting histories representing the number of times of shooting for each image attribute information.

Subsequently, the process of determining whether or not the candidate item is recommended by the image management device 102 in the present embodiment will be described. FIG. 6 is a flowchart showing an operation of recommending a candidate item in the present embodiment.

In S601, the candidate item information acquisition unit 301 acquires the candidate item information from the management server 101. Specifically, the candidate item information acquisition unit 301 acquires the item type of the candidate item and the URL of the Web page in which the information of the candidate item is described. Although the URL is used in this embodiment, other information may be used as long as the information of the candidate item is the information used for presenting to the user. In S602, the recommendation propriety determination unit 309 determines the recommendation propriety of the candidate item in response to the input of the item type of the candidate item. The processing of S602 will be described later with reference to FIG. 7. In S603, the recommendation approval / disapproval determination unit 309 determines whether or not the candidate item is recommended as a result of the processing of S602. If the candidate item is recommended (Yes in S603), the process proceeds to S604. In S604, the recommendation unit 303 recommends the candidate item by displaying the Web page of the URL acquired in S601 on the display 206. If the candidate item is not recommended (No in S603), the recommendation unit 303 does not recommend the candidate item, and the process ends.

The image management device 102 can recommend the candidate item to the user by periodically repeating the processes of S601 to S604. In the present embodiment, the case where there is one candidate item is shown, but when there are a plurality of candidate items, the image management device 102 may repeat the processes of S602 to S604 as many as the number of candidate items.

FIG. 7 is a sub-flow of the process of S602 of FIG. 6, and is a flowchart showing an operation in which the determination unit 307 of the recommendation approval / disapproval determination unit 309 in the present embodiment determines the recommendation / disapproval of the candidate item.

In S701, the determination unit 307 acquires the item attribute information corresponding to the item type of the candidate item acquired by the candidate item information acquisition unit 301 in S601 from the item attribute information management table 400 (FIG. 4). For example, consider the case where the item type acquired by the candidate item information acquisition unit 301 in S601 is a "telephoto zoom lens". In this case, the determination unit 307 acquires the camera type 403 = single-lens reflex camera and the shooting scene 404 = sports, which correspond to the ID 401 = 3, as the item attribute information from the item attribute information management table 400.

In S702, the determination unit 307 acquires the determination period for use in the determination of whether or not it is recommended, which is calculated by the period calculation unit 308. Here, a method of calculating the determination period by the period calculation unit 308 will be described. The period calculation unit 308 calculates the determination period so that it becomes a predetermined period in a predetermined cycle from the current date. In the present embodiment, the predetermined cycle is one year and the predetermined period is two months. For example, if the current date is August 7, 2015, the period calculation unit 308 calculates the determination period as August 7 to October 7 every year. If the predetermined cycle is half a year and the predetermined period is one month, the period calculation unit 308 sets the judgment period from August 7 to September 7 every year and from February 7 to March 7 every year. Calculated as a day. In addition, the period calculation unit 308 may calculate a weekly period such as from the first week of August to the first week of October every year, or may determine a plurality of determination periods based on a plurality of cycles or periods. It may be calculated.

In S703, the determination unit 307 acquires the shooting history table 500 managed by the shooting history management unit 305. In S704, the determination unit 307 initializes the variable i to 1. In S705, the determination unit 307 acquires the i-th (ID501 = i) shooting history in the shooting history table 500 acquired in S703. That is, the determination unit 307 acquires information on the shooting date 502 corresponding to ID 501 = i, image attribute information (camera type 503 and shooting scene 504), and the number of shots 505.

In S706, the determination unit 307 determines whether or not the shooting date (shooting date 502) corresponding to ID 501 = i is within the determination period calculated by the period calculation unit 308. In S707, the determination unit 307 determines whether the image attribute information (camera type 503 and shooting scene 504) corresponding to ID 501 = i matches the item attribute information (camera type 403 and shooting scene 404) acquired in S701. To judge. In S708, the determination unit 307 determines whether or not the number of times of shooting 505 corresponding to ID 501 = i is a predetermined number of times or more (here, 50 times or more).

If any of the determinations in S706 to S708 is determined to be false (No in S706, No in S707, or No in S708), the process proceeds to S709. In S709, the determination unit 307 adds 1 to the value of i. Then, the determination unit 307 determines S706 to S708 with respect to the information of the shooting date 502 corresponding to ID 501 = i, the image attribute information (camera type 503 and the shooting scene 504), and the number of shots 505. The determination unit 307 repeats such processing until the value of i becomes the value of the last ID in the shooting history.

If all of the determinations in S706 to S708 are determined to be true (Yes in S706, Yes in S707 and Yes in S708), the process proceeds to S712. In S712, the determination unit 307 determines that the candidate item corresponding to the information acquired in S601 can be recommended. In S710, when the determination unit 307 determines that the i-th ID 501 is the last ID (Yes in S710), the candidate item corresponding to the information acquired in S601 is determined to be non-recommended (S711). After the processing of S711 and S712, the processing returns to S603 of FIG.

As an example, as described above, consider a case where the item type of the candidate item is a telephoto zoom lens, the current date is August 7, 2015, and the determination period is August 7 to October 7 every year. In this case, the determination unit 307 has a determination period of "August 7 to October 7 every year" on October 3, 2013, which is the shooting date 502 = corresponding to the shooting history ID 501 = 17. , S706 determines true (Yes). Further, in the determination unit 307, the image attribute information (camera type 503 = single-lens reflex camera, shooting scene 504 = sports) corresponding to the shooting history ID 501 = 17 is set to camera type 403 = single-lens reflex camera, shooting scene 404 = sports. Since they match, it is determined to be true (Yes) in S707. Further, since the number of times of shooting 505 = 133 corresponding to ID 501 = 17 of the shooting history is 50 times or more, the determination unit 307 determines that it is true (Yes) in S708. As a result, the determination unit 307 determines that the telephoto zoom lens, which is a candidate item, can be recommended.

If there is an image taken with the same item as the candidate item among the images managed by the image management unit 302, the determination unit 307 determines that the user already has the candidate item. It may be determined as non-recommended. Further, in the present embodiment, the period calculation unit 308 uses a value of a predetermined cycle for calculating the determination period in S702, but a value of a cycle other than this may be used. For example, the period calculation unit 308 may first acquire the shooting history table 500 in S703 and use the cycle value obtained from the data string of the number of shots 505. As a method of calculating the period, a method such as using a discrete Fourier transform for the data string of the number of times of shooting can be considered.

As described above, according to the present embodiment, by using the information of the past shooting history, it is possible to recommend an item suitable for the camera type and the shooting scene that the user is likely to shoot in the future.

<Embodiment 2>
In the first embodiment, the item is recommended when the candidate item satisfies a predetermined condition by using the past shooting history. However, in the first embodiment, there is a problem that even a product for which sales are desired to be promoted, such as a new product or a product under a campaign, is never recommended unless the conditions are satisfied. In order to deal with this problem, in the present embodiment, the recommended candidate item is always recommended by calculating the recommended interval (time interval) using the past shooting history, but it is highly likely that the user needs it. Items are recommended at shorter intervals. The difference from the first embodiment will be described below.

FIG. 8 is a diagram showing a functional configuration example of the image management device 102 according to the present embodiment. The image management device 102 in the present embodiment is obtained by adding the recommended interval setting unit 801 to the recommendation approval / disapproval determination unit 309 as compared with the image management device 102 of FIG. 3 described in the first embodiment. The recommended interval setting unit 801 calculates the recommended interval based on the information of the number of times of shooting 505 of the shooting history table 500 during the determination period. The determination unit 307 recommends the candidate item at the recommended interval calculated by the recommended interval setting unit 801.

The recommended operation of the candidate item by the image management device 102 in the present embodiment is the same as that of FIG. 6 described in the first embodiment, but since the processing of S602 is different, the processing of S602 will be described. FIG. 9 is a sub-flow of the process of S602 of FIG. 6, and is a flowchart showing an operation in which the determination unit 307 of the recommendation approval / disapproval determination unit 309 in the present embodiment determines the recommendation / disapproval of the recommended candidate item. In FIG. 9, the operation flow for determining whether or not to recommend in FIG. 7 is modified so as to determine using the recommended interval calculated by the recommended interval setting unit 801.

In S901, the determination unit 307 initializes the value of the number of shooting days to 0. In S902, when the determination is true (Yes) in S706 and S707, the determination unit 307 adds 1 to the number of shooting days. That is, the determination unit 307 adds 1 to the number of shooting days when the shooting date 502 of the i-th shooting history acquired in S705 is within the judgment period and the image attribute information matches the item attribute information. The determination unit 307 repeats the processes of S705 to S709 and S902 until the i-th ID 501 is determined to be the last ID in S710. As a result, the determination unit 307 can count the total number of shooting days of the image having the image attribute information that matches the item attribute information within the determination period.

S903 to S907 are operation flows in which the recommended interval setting unit 801 calculates the recommended interval. In S903, the determination unit 307 determines whether or not the number of shooting days acquired in the processes up to S710 is equal to or less than a predetermined first threshold value (here, 10 days). If the number of shooting days is equal to or less than a predetermined threshold value (S9033Yes), the process proceeds to S905. In S905, the recommended interval setting unit 801 sets the first recommended interval (here, 4 months) as the recommended interval. If the number of shooting days is not equal to or less than a predetermined threshold value (No in S903), the process proceeds to S904. In S904, the determination unit 307 determines whether or not the number of shooting days is equal to or less than the second threshold value (60 days in this case) larger than the first threshold value. When the number of shooting days is equal to or less than the second threshold value (Yes in S904), the recommended interval setting unit 801 sets the second recommended interval (here, 2 months) shorter than the first recommended interval in S906. If the number of shooting days is not equal to or less than the second threshold value (No in S904), the recommended interval setting unit 801 sets a third recommended interval (here, one month) shorter than the second recommended interval in S907.

In S908, the determination unit 307 acquires the date (previous recommended date) when the same item as the candidate item corresponding to the information acquired in S601 was recommended to the user last time. The previous recommended date can be obtained, for example, by recording the item name and date information of the candidate item recommended by the recommendation unit 303 and using the information by the determination unit 307. In S909, the determination unit 307 determines whether or not the recommended interval set by the recommended interval setting unit 801 has elapsed from the acquired previous recommended date. That is, the determination unit 307 determines whether or not the number of days from the previous recommended date to the current date is equal to or greater than the recommended interval set by the recommended interval setting unit 801. If the recommended interval or more has passed (Yes in S909), the determination unit 307 in S712 determines that the candidate item corresponding to the information acquired in S601 can be recommended. If the recommended interval or more has not passed (No in S909), the determination unit 307 in S711 determines that the candidate item corresponding to the information acquired in S601 is not recommended. After the processing of S711 and S712, the processing returns to S603 of FIG.

As described above, according to the present embodiment, by using the information of the past shooting history, items suitable for the camera type and shooting scene that the user is likely to shoot in the future are recommended at short recommended intervals. be able to.

<Embodiment 3>
In the first embodiment, whether or not the candidate item can be recommended is determined from the shooting history, and if it is possible to recommend the item, the item is recommended. However, when there are a plurality of recommended candidate items, the shooting history is scanned a plurality of times in order to determine whether or not the recommendation is possible, which causes a problem that processing takes time. In order to deal with this problem, in the present embodiment, the shooting history is scanned once by selecting a recommended item from the shooting history and recommending a candidate item that matches the selected recommended item. The difference from the first embodiment will be described below.

FIG. 10 is a diagram showing a functional configuration example of the image management device 102 according to the present embodiment. The image management device 102 in the present embodiment is different from the image management device 102 of FIG. 3 described in the first embodiment in that the recommendation approval / disapproval determination unit 309 is replaced with the recommended item selection unit 1001. Further, the configuration of the recommended item selection unit 1001 is different in that the determination unit 307 is replaced with the selection unit 1002 as compared with the recommendation availability determination unit 309 of FIG.

The selection unit 1002 selects a recommended item from the item attribute information management table 400 according to the flowchart shown in FIG. 13 to be described later. The image management device 102 acquires a recommended candidate item list (hereinafter referred to as a candidate item list) shown in FIG. 11 from the management server 101, and recommends a candidate item that matches the selected recommended item.

FIG. 11 is a diagram showing an example of the candidate item list 1100. The candidate item list 1100 is composed of ID 1101, item type 1102, and URL 1103. ID 1101 is an ID for identifying each of the item types 1102. Item type 1102 is information representing an item. URL 1103 is the URL of the Web page in which the item information is described.

Subsequently, the process of determining whether or not the candidate item is recommended by the image management device 102 in the present embodiment will be described. FIG. 12 is a flowchart showing an operation of recommending a candidate item in the present embodiment. FIG. 12 is a modification of the operation flow for recommending the item of FIG. 6 so as to use the recommended item selection unit 1001.

In S601, the candidate item information acquisition unit 301 acquires the candidate item list 1100 as shown in FIG. 11 from the management server 101. In S1201, the recommended item selection unit 1001 selects a recommended item according to the flow of FIG. In S1202, the selection unit 1002 initializes the variable m. In S1203, the selection unit 1002 acquires the m-th candidate item from the candidate item list 1100. In S1204, the selection unit 1002 determines whether or not the item type of the m-th candidate item matches the recommended item selected in S1201. If the item types match (Yes in S1204), the process proceeds to S604. In S604, the recommendation unit 303 recommends the candidate item by displaying the Web page of the m-th candidate item on the display 206 or the like. After the processing of S604, or if the item types do not match (No in S1204), the processing proceeds to S1205. In S1205, the selection unit 1002 adds 1 to the value of m. The selection unit 1002 repeats the processes of S1203 to S1205 and S604 until the value of m becomes the number of the last ID in the candidate item list (Yes in S1206).

FIG. 13 is a sub-flow of the process of S1201 of FIG. 12, and is a flowchart showing an operation in which the selection unit 1002 selects a recommended item. FIG. 13 is a modification of the operation flow for determining whether or not to recommend in FIG. 7 so as to select a recommended item.

In S1301, when it is determined to be true (Yes) in S706 and S707, the selection unit 1002 adds the image attribute information (camera type 503 and shooting scene 504) corresponding to the shooting history ID 501 = i to the list. .. That is, the selection unit 1002 adds the image attribute information to the list when the shooting date 502 of the i-th shooting history acquired in S705 is within the determination period and the image attribute information matches the item attribute information. .. The selection unit 1002 repeats S705 to S709 and S1301 until the i-th ID 501 is determined to be the last ID. As a result, the selection unit 1002 acquires the image attribute information in which the number of times of shooting in the determination period is equal to or more than a predetermined number of times.

In S1302, the selection unit 1002 selects an item having item attribute information that matches the image attribute information added to the list in S1301 as a recommended item from the item attribute information management table 400. When a plurality of image attribute information exists in the list, the selection unit 1002 may select a plurality of recommended items. In that case, in S1204 of FIG. 12, the selection unit 1002 determines whether it matches any of the plurality of recommended items, and in S604, the recommendation unit 303 recommends the candidate item determined to match in S1204.

As described above, according to the present embodiment, the item suitable for the camera type and the shooting scene that the user is likely to shoot from now on is selected by scanning the shooting history once, and the item is recommended. Can be done.

As described above, according to the above-described embodiment, it is possible to recommend shooting equipment suitable for the environment and the subject in which the user is likely to shoot from now on.

<Other Embodiments>
Although examples of embodiments have been described in detail above, the present invention can take embodiments as, for example, a system, an apparatus, a method, a program, a recording medium (storage medium), or the like. Specifically, it may be applied to a system composed of a plurality of devices (for example, a host computer, an interface device, an imaging device, a web application, etc.), or it may be applied to a device composed of one device. good.

The present invention also supplies a program that realizes one or more functions of the above-described embodiment to a system or device via a network or storage medium, and one or more processors in the computer of the system or device implement the program. It can also be realized by the process of reading and executing. It can also be realized by a circuit (for example, ASIC) that realizes one or more functions.

101 management server, 102 image management device, 103 network

Claims (16)

A range-determining means that determines the time range used to recommend an image or shooting item to the user,
A setting means for setting the recommended frequency of the item based on the shooting frequency of the image having the attribute information corresponding to the recommended item in the time range, and
The recommended means for recommending the item and the recommended means for recommending the item according to the recommended frequency set by the setting means.
An information processing device characterized by having. Claims image having attribute information corresponding to the item in the time range according to the number of times taken, and further comprising an item determination means to determine whether to recommend the item to the user Item 1. The information processing apparatus according to item 1. It said item further have a presentation means for presenting to recommend to the user,
The information processing apparatus according to claim 1 or 2 , wherein the recommended means is recommended by presentation by the presenting means. The information processing device according to claim 3 , wherein the presenting means presents the information to the user by displaying the information of the item on the display unit. It said range determining means, based on the timing for recommending the item to the user, the information processing apparatus according to any one of 4 the preceding claims, characterized in that determining the time range. The information processing apparatus according to claim 5 , wherein the range determining means determines the time range so as to have a predetermined period in a predetermined cycle from the timing. The item determination means is
Of shooting shooting events that occurred already has attribute information image captured at the time range corresponding to the item, and satisfies the condition number of the shooting of whether there are a predetermined number of times or more Judgment means for determining whether or not a shooting event exists,
Have,
If it is determined that the condition is satisfied imaging event is present by the determining means, the item determination means, information according to claim 2, characterized in that to determine as an item to recommend the item to the user Processing equipment. Of shooting shooting events that occurred previously, determination means for determining whether conditions are satisfied shooting events exist that have the attribute information image captured at the time range corresponding to the item,
A counting means for counting the number of shooting events determined to satisfy the above conditions by the determination means, and
Have more
The setting means sets a recommended interval according to the number of the shooting events counted by the counting means.
The recommended unit, when the previous recommendations are older than the recommended distance, the information processing according to any one of claims 1 6, characterized that you recommend the item to the user apparatus. An information processing device for determining images or shooting items to recommend to users.
A range determining means for determining a time range used to determine the item recommended to the user, and
It has an item determination means for determining an item recommended to the user according to the number of times an image having predetermined attribute information is taken in the time range.
The item determination means is
A setting means for setting candidate items to be recommended to the user, and
Among the shooting events of shooting that have already been performed, a determination means for determining whether or not there is a shooting event that satisfies the condition that the image shot in the time range has the attribute information corresponding to the candidate item.
A counting means for counting the number of shooting events determined to satisfy the above conditions by the determination means, and
Have,
The item determining means sets a recommended interval according to the number of the shooting events counted by the counting means, and recommends the candidate item to the user when the recommended interval has passed a predetermined interval or more. An information processing device characterized in that it is determined as an item to be processed. The recommended interval, the information processing apparatus according to claim 8 or 9 carbon of the photographed events counted by the counting means in accordance with increases, characterized in that it is short rather set. The item determination means is
A setting means for setting candidate items to be recommended to the user, and
A determination means for determining whether or not there is a shooting event that satisfies the condition that shooting is performed in the time range and the number of shootings is equal to or more than a predetermined number among the shooting events of shooting that have already been performed. When,
An acquisition means for acquiring attribute information possessed by an image captured in a shooting event determined by the determination means to satisfy the above conditions.
It has a selection means for selecting an item corresponding to the acquired attribute information, and has.
The information according to claim 2 , wherein the item determining means determines the candidate item as an item recommended to the user when the item selected by the selecting means matches the candidate item. Processing equipment. An information processing device for determining images or shooting items to recommend to users.
A range determining means for determining a time range used to determine the item recommended to the user, and
It has an item determination means for determining an item recommended to the user according to the number of times an image having predetermined attribute information is taken in the time range.
The item determination means is
A setting means for setting candidate items to be recommended to the user, and
A determination means for determining whether or not there is a shooting event that satisfies the condition that shooting is performed in the time range and the number of shootings is equal to or more than a predetermined number among the shooting events that have already been performed. When,
An acquisition means for acquiring attribute information possessed by an image captured in a shooting event determined by the determination means to satisfy the above conditions.
It has a selection means for selecting an item corresponding to the acquired attribute information, and has.
The information processing device is characterized in that, when the item selected by the selection means and the candidate item match, the item determining means determines the candidate item as an item recommended to the user. A range determination process that determines the time range used to recommend an image or shooting item to the user,
A setting process for setting the recommended frequency of the item based on the shooting frequency of the image having the attribute information corresponding to the recommended item in the time range, and
A recommended process for recommending the item and a recommended process for recommending the item according to the recommended frequency set in the setting process.
An information processing method characterized by having. An information processing method for determining an image or shooting item to recommend to the user.
A range determination step of determining a time range used to determine the item recommended to the user, and
It has an item determination step of determining an item recommended to the user according to the number of times an image having predetermined attribute information is taken in the time range.
The item determination process is
A setting process for setting candidate items to be recommended to the user, and
A determination step of determining whether or not there is a shooting event that satisfies the condition that the image shot in the time range has the attribute information corresponding to the candidate item among the shooting events of the shooting already performed.
A counting process that counts the number of shooting events that are determined to satisfy the conditions in the determination process, and
Have,
In the item determination step, a recommended interval is set according to the number of shooting events counted in the counting step, and when the recommended interval elapses more than a predetermined interval, the candidate item is recommended to the user. An information processing device characterized in that it is determined as an item to be processed. An information processing method for determining an image or shooting item to recommend to the user.
A range determination step of determining a time range used to determine the item recommended to the user, and
It has an item determination step of determining an item recommended to the user according to the number of times an image having predetermined attribute information is taken in the time range.
The item determination process is
A setting process for setting candidate items to be recommended to the user, and
Judgment step of determining whether or not there is a shooting event that satisfies the condition that shooting is performed in the time range and the number of shootings is equal to or more than a predetermined number among the shooting events of shooting already performed. When,
An acquisition step of acquiring attribute information possessed by an image captured in a shooting event determined to satisfy the conditions in the determination step, and an acquisition step.
It has a selection process of selecting an item corresponding to the acquired attribute information.
The information processing method, characterized in that, in the item determination step, when the item selected in the selection step matches the candidate item, the candidate item is determined as an item recommended to the user. A computer, a program to function as the information processing apparatus according to any one of claims 1 to 12.

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