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: 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.

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: 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: One-to-one join is widely used in machine learning and business intelligent applications. Disclosed herein is an efficient method for one-to-one join to reduce memory usage and thus disk I/O accesses with limited memory. Disclosed method outputs and removes a pair of tuples immediately when they are matched to each other to allow join results to be generated without reading entire tables. Meanwhile, disclosed method increases matching rate for in memory blocks through the predication of data distribution patterns based on both statistics and history block matching information.

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: 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: 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: Provided is an accelerator control apparatus including: an accelerator that is configured to store at least one segment data item of a plurality of segment data items obtained by dividing data, and a boundary data item that is data item being included in a segment data item adjacent to the at least one segment data item; and data management unit to determine whether a width of data which is included in the boundary data item and is consistent with the segment data item adjacent to the at least one segment data item, is equal to or larger than a reference width representing a width of data referred to in processing executed by the accelerator.

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.

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.

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: 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.

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 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: 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: Provided is an accelerator control apparatus including: an accelerator that is configured to store at least one segment data item of a plurality of segment data items obtained by dividing data, and a boundary data item that is data item being included in a segment data item adjacent to the at least one segment data item; and data management unit to determine whether a width of data which is included in the boundary data item and is consistent with the segment data item adjacent to the at least one segment data item, is equal to or larger than a reference width representing a width of data referred to in processing executed by the accelerator.

Abstract: A distributed processing device includes an object storage unit that stores a continuation object including at least one of plural processes constituting a task and containing data of the task that is being processed, a processing unit that executes the continuation object retrieved from the object storage unit, and a storage processing unit that stores, in an execution state file, data stored in the object storage unit.