Information Processing Apparatus Using Intermediate Detection Features
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Solution Overview
Problem
Current category determination methods in automatic recognition systems for data from sensors, such as image or video data, face challenges in improving accuracy, particularly when detecting specific events or abnormalities, as they rely solely on detection information without utilizing intermediate data generated during the detection process.
Innovation Solution
The proposed solution involves an information processing apparatus and method that acquires data, detects a determination target, and performs category determination using both detection information and intermediate features generated during the detection process, which are different from the detection information, to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If category determination is performed using only detection information, then the system complexity is low, but the determination accuracy is insufficient
Solution Approach 1:
The patent segments the detection process into multiple stages, extracting intermediate data at different processing points (e.g., after feature extraction, after preliminary classification). These segmented intermediate results are then combined with final detection information to improve category determination accuracy without requiring complete reprocessing of raw data.
Solution Approach 2:
The patent implements a nested structure where intermediate data from detection processing is embedded within the overall determination system. The intermediate results are stored and reused in the determination stage, creating a nested architecture where inner processing results serve outer processing needs, reducing redundant computation while improving accuracy.
2Measurement precision
If intermediate data is utilized during detection processing, then the category determination accuracy improves, but the processing time increases
Solution Approach 1:
The patent performs preliminary extraction and storage of intermediate data during the detection processing stages. By preparing and saving these intermediate results in advance (rather than computing them later during determination), the system avoids redundant processing when performing category determination, thus reducing overall processing time while maintaining accuracy improvements.
Solution Approach 2:
The patent creates copies of intermediate data at strategic points during detection processing. These copied intermediate results are stored in memory or cache structures, allowing the determination process to access pre-computed information without reprocessing original sensor data, thereby reducing processing time while utilizing enriched information for better accuracy.
Data Source
AI summary
There is provided with an information processing apparatus. An acquisition unit acquires data. A detection unit detects a determination target from the data. A training unit performs training of a determiner for performing category determination concerning the determination target using information of the determination target detected by the detection unit and intermediate data being generated during detection processing by the detection unit and being different from the information of the determination target.