Abstract: An image analysis device comprising: an input interface to acquire image data indicating an image of an operator performing task; and a controller to detect the task performed by the operator sequentially, based on the image data, to generate task detection information indicating a detection result of the task, wherein the task includes a plurality of processes performed by the operator, and the controller compensates the task detection information by interpolating a detection result of the task within an undetected period, in accordance with a pre process and/or a post process of the undetected period, the undetected period being a period in which the task is not detected, the pre process being a process of the task detected previously to the undetected period, and the post process being a process of the task detected subsequently to the undetected period.

Abstract: An electrode catalyst for a fuel cell, the electrode catalyst having high initial activity and being capable of long-term retention of said activity; and a fuel cell using the electrode catalyst for a fuel cell. The electrode catalyst for a fuel cell includes catalyst metal particles that include platinum or a platinum alloy, and carrier particles that carry said catalyst metal particles, wherein the carrier particles are a carbonaceous material having a cumulative pore volume of 0.10 cc/g or less in the diameter range of 2 nm or less, and a BET specific surface area of greater than 900 m2/g; and a fuel cell comprising the electrode catalyst for a fuel cell.

Abstract: It selects learning data that is effective for learning a learning model. An identification information assignment device comprising: a processor; and memory, wherein, using the memory, the processor: acquiring a plurality of image data; selecting a part of the plurality of image data as learning data; assigning identification information to the selected image data by using a learning model which is recorded in the memory; and updating the learning model by using the selected image data to which the identification information is assigned, wherein identification information is assigned to a rest of the plurality of image data by using the updated learning model, the rest of the plurality of image data being different from the selected image data.

Abstract: It reduces labor and time to generate training data for the training model. An identification information assignment apparatus includes an acquirer configured to acquire a plurality of pieces of image data, an assigner configured to assign identification information to image data selected from the plurality of pieces of image data by using a learning model after learning, and an updater configured to update the learned model using the image data to which the identification information is assigned, wherein the assigner assigns identification information to a rest of the image data acquired by the acquirer using the learned model that has been updated.

Abstract: The prediction device includes a storage storing measure implementation information representative of an effect of the measured on a first target, and a control circuit predicting an effect of the measures on a second target having no measure implemented therein based on the measure implementation information; the control circuit constructs a first graph made up of a plurality of nodes including at least one first node associated with the first target and at least one second node associated with the second target, and a plurality of links connecting the nodes based on a similarity between the nodes; and based on the measure implementation information, the control circuit determines a degree of the effect of the measures on the first node and propagates the degree of the effect of the measures on the second node by using the first node as a base point in the first graph.

Abstract: A monitoring device (2) identifies an object from videos made by a plurality of cameras (1) including a first camera and a second camera and having a predetermined positional relationship. The monitoring device has a receiving unit (21) configured to receive the videos from the plurality of cameras, a storage unit (22b, 22c) configured to store feature information indicating a feature of the object and camera placement information indicating placement positions of the cameras, and a controller (23) configured to identify the object from the videos based on the feature information. If an object has been identifiable from the video made by the first camera but has been unidentifiable from the video made by the second camera, the controller (23) specifies, based on the camera placement information, the object in the video made by the second camera.

Abstract: A model generating device according to the present disclosure includes: an acquisition unit that acquires demand information indicative of the number of sales of a product in a shop for a past predetermined period and external information relevant to the number of sales of the product; and a controller that generates a forecasting model for calculating a forecast value of demand for the product based on the demand information and the external information, wherein the controller includes a simulator that simulates the number of displayed pieces of the product based on the demand information and the forecast value and a forecasting model generator that generates the forecasting model based on the external information and the number of displayed pieces of the product and calculates the forecast value by using the forecasting model.

Abstract: An evaluation device evaluates a placement position of an item placed on a shelf in a shop, and includes: an obtaining unit that obtains traffic line information indicating a plurality of persons passing in front of the shelf and purchased-item information indicating one or more purchased items, the one or more purchased items being purchased in the shop by the plurality of persons; and a controller that calculates a passing probability in front of the shelf, based on the traffic line information, calculates a purchase probability of the item placed on the shelf, based on the purchased-item information, and calculates an evaluation value, of the item placed on the shelf, at a placement position, based on the passing probability and the purchase probability calculated.

Abstract: A prediction device is a device that predicts a flow of a person after a layout change of goods in a region, and the prediction device includes: an obtaining unit that obtains traffic line information representing flows of a plurality of persons in the region, layout information representing layout positions of the goods, and change information representing a layout change of the goods; and a controller that generates an action model of a person in the region, by an inverse reinforcement learning method, based on the traffic line information and the layout information and that predicts a flow of a person after the layout change of the goods, based on the action model and the change information.

Abstract: A monitoring device (2) identifies an object from videos made by a plurality of cameras (1) including a first camera and a second camera and having a predetermined positional relationship. The monitoring device has a receiving unit (21) configured to receive the videos from the plurality of cameras, a storage unit (22b, 22c) configured to store feature information indicating a feature of the object and camera placement information indicating placement positions of the cameras, and a controller (23) configured to identify the object from the videos based on the feature information. If an object has been identifiable from the video made by the first camera but has been unidentifiable from the video made by the second camera, the controller (23) specifies, based on the camera placement information, the object in the video made by the second camera.

Abstract: A simulation device includes an acquisition unit that acquires people flow information indicating a flow of people moving in a facility such as a store, purchase data indicating at least one item that is a product or a service purchased in the facility, and price information indicating a price of the at least one item placed in the facility, a people flow model generator that generates a people flow model based on the people flow information, a purchase model generator that generates a purchase model based on the purchase data and the people flow information, and a simulation execution unit that calculates, based on the price information, the people flow model, and the purchase model, a predicted value of a purchase amount of the at least one item purchased by a person moving in the facility.

Abstract: A video distribution method is a video distribution method to be performed by a server that distributes a plurality of videos captured by a plurality of users from different viewpoints to a terminal apparatus. The video distribution method includes distributing, from a server to a terminal apparatus, a first video that is one of a plurality of videos captured by a plurality of users from different viewpoints and that is requested by the terminal apparatus, selecting a second video that is one of the plurality of videos and that is likely to be next requested next time by the terminal apparatus, and starting transmission of the second video to the terminal apparatus during distribution of the first video to the terminal apparatus.

Abstract: An information presentation device includes an input unit that inputs a setting value for setting two periods to be compared, an acquisition unit that acquires information on a passage rate indicating a proportion of a number of people passing through each of a plurality of areas constituting an inside of a facility and sales information indicating a sales amount of an item in each of the areas, a difference calculator that calculates a difference in the passage rate between the two periods and a difference in the sales amount between the two periods, and a display unit that displays at least one of the difference in the passage rate and the difference in the sales amount.

Abstract: An information presentation device includes an acquisition unit that acquires purchase data indicating items purchased in a facility, position information indicating where each of items is placed in the facility, and a layout map representing an inside of the facility, and a controller that extracts a plurality of items purchased by a person from the purchase data based on a predetermined condition and generates sales information on the plurality of items thus extracted based on the purchase data, and a display unit that displays a first figure representing each of the plurality of items purchased by the person and a second figure representing a link between the plurality of items together with the layout map representing the inside of the facility based on the sales information and the position information.

Abstract: A monitoring device (3) identifies a person from videos made by a plurality of cameras (1) installed in a predetermined region where a plurality of products are arranged. The monitoring device includes a receiving unit (31) configured to receive the videos from the plurality of cameras (1) and purchase history information indicating a product purchased by the person from a POS register (2) installed in the predetermined region, a storage unit configured to store feature information indicating a feature of the person and shooting region information indicating shooting regions of the cameras, and a controller (33) configured to identify the person from the videos based on the feature information. The controller (33) specifies the camera which captured the shooting region through which the person passed based on the purchase history information and the shooting region information.

Abstract: A video distribution method is a video distribution method to be performed by a server that distributes a plurality of videos captured by a plurality of users from different viewpoints to a terminal apparatus. The video distribution method includes distributing, from a server to a terminal apparatus, a first video that is one of a plurality of videos captured by a plurality of users from different viewpoints and that is requested by the terminal apparatus, selecting a second video that is one of the plurality of videos and that is likely to be next requested next time by the terminal apparatus, and starting transmission of the second video to the terminal apparatus during distribution of the first video to the terminal apparatus.

Abstract: A screen generating device which receives a first operation signal of a touch operation from each of a plurality of terminals, and transmits content matching each of the plurality of terminals, and includes: an operation signal receiver which receives the first operation signal; an operation type determining unit which determines a type of the first operation signal; an operation signal converter which converts the first operation signal into a second operation signal of a mouse operation; and a plurality of browsers which generates a screen of the content matching each of the plurality of terminals by using the first operation signal or the second operation signal based on a result of the determination made by the operation type determining unit. Consequently, it is possible to cause a server to receive an operation of each of a plurality of client terminals and cause each client terminal to operate one desktop of the server.

Abstract: A recommendation image display system includes: a receiving unit which receives content related information items each of which includes a content recommendation level determined based on a content viewing history of a content item obtained from a corresponding one of a plurality of terminals; a generating unit which generates a recommendation image in which a plurality of icons for allowing a user to select one of content items are displayed based on the received content related information; and a display unit which displays the recommendation image. The plurality of icons include a first icon and a second icon indicating a content item having a recommendation level higher than that of the content item indicated by the first icon. The generating unit generates the recommendation image in which the second icon is displayed in the mode in which the second icon is more likely to be selected by the user than the first icon.

Abstract: The present invention is intended to realize a screen configuration according to a propagation environment and display capability by causing a server to transmit a plurality of pieces of screen configuration information describing a spatial arrangement of contents to a reception terminal and select, when the reception terminal receives a plurality of pieces of screen configuration information, screen configuration information and display the contents according to the propagation environment of the reception terminal and conditions such as display capability.

Abstract: Disclosure is made of a source code checker and a source code checking method, for checking properties related to program behaviors meant by source code for a computer program; of a program for making execute the method; and of a storage medium for storing the program. This source code checking method includes a path extracting step and a checking information determining step. The path extracting step simulates a program described in source code for a computer program preliminarily input, to extract an instruction series to be actually executed. The checking information determining step determines checking information of the source code according to the instruction series extracted in the path extracting step.