Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Abstract: A non-transitory computer readable medium stores a program causing a computer to execute a function of acquiring a security credit rating of a user who operates a terminal used for communication; a function of acquiring a security threat rating for a website that is a communication destination; and a function of controlling the user's communication with the website, based on security policy according to a combination of the credit rating and the threat rating.

Abstract: Moisture content information in soil at a specified site is acquired. Moisture content information a ground surface within a given range that includes the specified site is acquired. An amount of runoff or storage volume of water on the ground surface or in a ground at a freely-selected site in the given range is calculated based on the moisture content information in soil and the moisture content information at the ground. A degree of risk of flood disaster at the freely-selected site within the given range is calculated based on the amount of runoff or storage volume of water on the ground surface. A point where there is the risk of flood disaster within the given range is determined and highlighted based on the degree of risk of flood disaster.

Abstract: Moisture content information in soil at a specified site is acquired. Moisture content information a ground surface within a given range that includes the specified site is acquired. An amount of runoff or storage volume of water on the ground surface or in a ground at a freely-selected site in the given range is calculated based on the moisture content information in soil and the moisture content information at the ground. A degree of risk of flood disaster at the freely-selected site within the given range is calculated based on the amount of runoff or storage volume of water on the ground surface. A point where there is the risk of flood disaster within the given range is determined and highlighted based on the degree of risk of flood disaster.

Abstract: Moisture content information in soil at a specified site, and moisture content information at a ground surface within a given range that includes the specified site, are acquired. A point where there is a risk of natural disaster within the given range is determined and highlighted, based on the moisture content information in soil at the specified site and the moisture content information at the ground surface within the given range.

Abstract: A structure abnormality detection device that detects an abnormality of a structure includes means for storing a model that predicts, from a first inspection value acquired at a first inspection position, a second inspection value acquired at a second inspection position that is a position where a vibration intensity in vibration of a predetermined vibration mode at a natural frequency of the structure is substantially the same as at the first inspection position; and means for detecting an abnormality of the structure by evaluating fidelity of the first inspection value and the second inspection value acquired at a particular time to the model.

Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Abstract: A structure abnormality detection system that detects an abnormality of at least one of structures classified into a plurality of groups in which a plurality of factors that may affect behavior of structures are substantially the same includes: means for storing a model that predicts, from a first inspection value acquired at a first inspection position, a second inspection value acquired at a second inspection position that is a position where a vibration intensity in vibration of a predetermined vibration mode at a natural frequency of the structure is substantially the same as at the first inspection position; and means for detecting an abnormality of the structure by evaluating fidelity of the first inspection value and the second inspection value acquired at a particular time to the model.

Abstract: Disclosed is a display condition analysis device which is capable of analyzing the display conditions of products. This display condition analysis device is provided with: a product recognition means for recognizing, from a display image taken of products on display, the products in the display image; and a display condition analysis means for analyzing, on the basis of the positions of the recognized products, the display conditions of the products on display.

Abstract: Moisture content information in soil at a specified site, and moisture content information at a ground surface within a given range that includes the specified site, are acquired. A point where there is a risk of natural disaster within the given range is determined and highlighted, based on the moisture content information in soil at the specified site and the moisture content information at the ground surface within the given range.

Abstract: In order to achieve highly accurate prediction across a wide area for disasters caused by rainfall, this disaster prediction system includes: soil moisture acquisition means that acquires amount of moisture in soil at a specified site, ground surface moisture acquisition means that acquires amount of moisture at a ground surface within a given range that includes the specified site, and estimation means estimates amount of moisture in soil at a freely-selected site in the given range or a parameter that indicates a property of soil at the freely-selected site in the given range, based on the amount of moisture in the soil at the specified site and the amount of moisture at the ground surface within the given range.

Abstract: Advertisement information relating to an object is provided in real time, while capturing images of the object. m first local features which are respectively feature vectors from one dimension to i dimensions are stored in association with an object, n feature points are extracted from a video picture, n second local features which are respectively feature vectors from one dimension to j dimensions are generated, the smaller number of dimensions is selected, of the number of dimensions i and the number of dimensions j, and an object is recognized to be present in the video picture and advertisement information relating to that object is provided when determination is made that at least a prescribed ratio of the m first local features of the selected number of dimensions corresponds to the n second local features of the selected number of dimensions.

Abstract: A structure abnormality detection system that detects an abnormality of at least one of structures classified into a plurality of groups in which a plurality of factors that may affect behavior of structures are substantially the same includes: means for storing a model that predicts, from a first inspection value acquired at a first inspection position, a second inspection value acquired at a second inspection position that is a position where a vibration intensity in vibration of a predetermined vibration mode at a natural frequency of the structure is substantially the same as at the first inspection position; and means for detecting an abnormality of the structure by evaluating fidelity of the first inspection value and the second inspection value acquired at a particular time to the model.

Abstract: A structure abnormality detection device that detects an abnormality of a structure includes means for storing a model that predicts, from a first inspection value acquired at a first inspection position, a second inspection value acquired at a second inspection position that is a position where a vibration intensity in vibration of a predetermined vibration mode at a natural frequency of the structure is substantially the same as at the first inspection position; and means for detecting an abnormality of the structure by evaluating fidelity of the first inspection value and the second inspection value acquired at a particular time to the model.

Abstract: In order to achieve highly accurate prediction across a wide area for disasters caused by rainfall, this disaster prediction system includes: soil moisture acquisition means that acquires amount of moisture in soil at a specified site, ground surface moisture acquisition means that acquires amount of moisture at a ground surface within a given range that includes the specified site, and estimation means estimates amount of moisture in soil at a freely-selected site in the given range or a parameter that indicates a property of soil at the freely-selected site in the given range, based on the amount of moisture in the soil at the specified site and the amount of moisture at the ground surface within the given range.

Abstract: The size of a feature descriptor is reduced, with the accuracy of object identification maintained. A local feature descriptor extracting apparatus includes a feature point detecting unit configured to detect a plurality of feature points in an image and output feature point information that is information on each of the feature points, a feature point selecting unit configured to select the predetermined number of feature points from the detected plurality of feature points in order of decreasing importance based on the feature point information, and a local feature descriptor generating unit configured to generate a local feature descriptor that is a feature descriptor in a local region for each of the selected feature points.

Abstract: A search object and m-number of first local features respectively constituted by a feature vector of 1 to i dimensions of local areas of m-number of feature points in an image of the search object are stored, feature points are extracted from the image, second local features respectively constituted by a feature vector of 1 dimension to j dimensions are generated with respect to local areas of n-number of feature points, a smaller number of dimensions among the number of dimensions i of the first local features and the number of dimensions j of the second local features is selected, and an existence of the search object in the image in the video is recognized when a prescribed ratio of the m-number of first local features up to the selected number of dimensions corresponds to the n-number of second local features up to the selected number of dimensions.

Abstract: Merchandise management is implemented by recognizing a piece of merchandise in an image on a video in real time. A piece of merchandise and m-number of first local feature which are respectively 1-dimensional to i-dimensional feature vectors are stored after being associated with each other, n-number of feature points are extracted from an image on a video captured by an imaging unit, n-number of second local feature which are respectively 1-dimensional to j-dimensional feature vectors are generated, a smaller number of dimensions of the number of dimensions i and the number of dimensions j is selected, and a recognition that the merchandise exists in the image on the video is made when it is determined that a prescribed proportion or more of the m-number of first local feature of the selected number of dimensions correspond to the n-number of second local feature of the selected number of dimensions.

Abstract: An object of the present invention is to reduce a size of a feature descriptor while maintaining accuracy of object identification.