Abstract:
A data processing apparatus (1) of the present invention includes a unit that retrieves a predetermined subject from moving image data. The data processing apparatus includes a person extraction unit (10) that analyzes moving image data to be analyzed and extracts a person whose appearance frequency in the moving image data to be analyzed satisfies a predetermined condition among persons detected in the moving image data to be analyzed, and an output unit (20) that outputs information regarding the extracted person.
Abstract:
A sparse matrix vector product operation device 20 includes a generating unit 21 which generates a second sparse matrix of a predetermined form by arranging a plurality of columns having a predetermined number or more non-zero components among a plurality of columns constituting a first sparse matrix of the predetermined form in order of the number of non-zero components.
Abstract:
Provided are an area allocation device and the like that can efficiently allocate memory volume for processing of matrix operations. The area allocation device specifies array identifiers representing positions of elements storing a value different from a predetermined value in each array of subarray information in array information, arrays consisting of a plurality of element, the array information including a plurality of information representing the arrays, the subarray information corresponding to at least a part of the arrays; calculates a number of the specified array identifiers; and allocates a memory area having a memory volume depending the calculated number.
Abstract:
An information processing apparatus comprises a first conversion part storing a partial matrix for columns having a predetermined number or more of non-zero elements among columns in a matrix in a first format, and a second conversion part storing a partial matrix for the other columns in the matrix in a second format.
Abstract:
An information processing device includes: a feature quantity obtaining unit which obtains a feature quantity of an object to be extracted, which is extracted from a retrieval target, and specific information to be specified an appearing location of it; a feature quantity holding unit which, when storing the feature quantity in a feature quantity table, adds new identification information to the feature quantity and holds the feature quantity in the feature quantity table when a similar feature quantity in which a similarity with the feature quantity is no less than a threshold is not included in the feature quantity table, and outputs identification information of the similar feature quantity as identification information of the feature quantity when the similar feature quantity is included in the feature quantity table; and a retrieval table holding unit which holds the specific information associated with the added identification information or the outputted identification information.
Abstract:
An information processing device includes: a feature quantity obtaining unit which obtains a feature quantity of an object to be extracted, which is extracted from a retrieval target, and specific information to be specified an appearing location of it; a feature quantity holding unit which, when storing the feature quantity in a feature quantity table, adds new identification information to the feature quantity and holds the feature quantity in the feature quantity table when a similar feature quantity in which a similarity with the feature quantity is no less than a threshold is not included in the feature quantity table, and outputs identification information of the similar feature quantity as identification information of the feature quantity when the similar feature quantity is included in the feature quantity table; and a retrieval table holding unit which holds the specific information associated with the added identification information or the outputted identification information.
Abstract:
An information processing device that compares a data amount of a QUBO model to be processed by an annealing engine and a data amount of a program representing the QUBO model, and that transmits whichever has a lower data amount to the annealing engine.
Abstract:
The annealing execution means 73 executes annealing using an energy function, when a solution to a combinatorial optimization problem, and the energy function of a model representing states of individual spins by a first value or a second value which is used to obtain the solution are given, and derives multiple new solutions to the combinatorial optimization problem. The solution determination means 74 determines a solution from among the multiple solutions derived by the annealing execution means 73, based on a solution determination rule for determining a solution among the multiple new solutions and the given solution to the combinatorial optimization problem.
Abstract:
An information processing apparatus (2000) acquires a plurality of data (10). The information processing apparatus (2000) generates a first matrix (20) representing groups, to which each data (10) belongs, in a classification according to a first reference. The information processing apparatus (2000) generates a second matrix (30) representing groups, to which each data (10) belongs, in a classification according to a second reference. The information processing apparatus (2000) computes a scalar product of the first matrix (20) and the second matrix (30), and, for each combination of the groups of the first reference and the groups of the second reference, computes the number of data (10) included in the combination.
Abstract:
Provided is an analysis apparatus (10) including a person extraction unit (11) that analyzes video data to extract a person, a time calculation unit (12) that calculates a continuous appearance time period for which the extracted person has been continuously present in a predetermined area and a reappearance time interval until the extracted person reappears in the predetermined area for each extracted person, and an inference unit (13) that infers a characteristic of the extracted person on the basis of the continuous appearance time period and the reappearance time interval.