Information analysis system, information analysis method, and non-transitory computer-readable recording medium
AssigneeKonica Minolta, Inc.
InventorsKazuki TSUTSUKAWA, Taiki SEKII
Life of this patent
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Abstract
Disclosed is a technique for realizing information analysis based on analysis contents flexibly designated for moving image data. One aspect of the present disclosure relates to an information analysis system comprising: an acquisition unit that acquires non-language time-series data; a recognition unit that recognizes a target situation on the basis of the non-language time-series data; a storage unit that stores the target situation as language data log information; a reception unit that receives an analysis request; an analysis unit that executes analysis on the basis of the log information and the analysis request; and an output unit that outputs the results of the analysis.
Claims9
An information analysis system, comprising at least one hardware processor, wherein the at least one hardware processor functions as:
- an acquirer that acquires non-language time-series data;
- a recognizer that recognizes a situation of a target based on the non-language time-series data;
- a storage that stores the situation of the target as log information of language data;
- a receiver that receives an analysis request;
- an analyzer that executes analysis based on the log information and the analysis request;
- and
- an outputter that outputs a result of the analysis.
An information analysis method, wherein a computer executes:
- acquiring non-language time-series data;
- recognizing a situation of a target based on the non-language time-series data;
- storing the situation of the target as log information of language data;
- receiving an analysis request;
- executing analysis based on the log information and the analysis request;
- and
- outputting a result of the analysis.
A non-transitory computer-readable recording medium storing a program that causes a computer to execute:
- acquiring non-language time-series data;
- recognizing a situation of a target based on the non-language time-series data;
- storing the situation of the target as log information of language data;
- receiving an analysis content;
- executing analysis based on the log information and the analysis request;
- and
- outputting a result of the analysis.
Dependencies are inferred from the claim text.