Automated Image-Name Data Collection System
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Solution Overview
Problem
In generic object recognition, manually preparing large quantities of data indicating combinations between images and names is time-consuming and labor-intensive, necessitating an automated method for data collection.
Innovation Solution
An information processing system that extracts user-specified words from requests and associates them with corresponding image data from an image storage unit, generating combination data automatically by linking words with image names.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual preparation of image-name combination data is used, then data accuracy can be ensured, but time consumption and labor intensity increase significantly
Solution Approach 1:
The system enables automatic data collection by having the information processing system perform the data collection task itself. The extraction unit automatically extracts words from requests and the generation unit automatically creates image-name combinations, eliminating the need for manual preparation while maintaining data quality through automated validation processes.
Solution Approach 2:
The patent replaces the manual mechanical process of data preparation with an automated information processing system. The extraction unit and generation unit work together to automatically create image-name combinations, substituting human labor with computational processes that can handle large volumes of data efficiently.
2Measurement precision
If manual preparation of image-name combination data is used, then data quality can be controlled, but labor intensity increases
Solution Approach 1:
The system performs data collection and validation automatically without requiring manual intervention. The extraction unit extracts words from requests and the generation unit generates combinations, making the system self-sufficient in data preparation while maintaining quality through automated processes.
Solution Approach 2:
The patent replaces manual data preparation operations with automated information processing. The system uses computational methods to extract, generate, and validate data combinations, eliminating the need for human operators while maintaining data quality standards.
3Productivity
If automated data collection is implemented, then time efficiency improves, but system complexity increases
Solution Approach 1:
The automated system is divided into distinct functional modules: an extraction unit that handles word extraction from requests and a generation unit that creates image-name combinations. This segmentation allows each component to perform its specific function efficiently, managing system complexity through modular design while maintaining high productivity.
Solution Approach 2:
The information processing system performs multiple functions within a unified framework: it extracts words from various types of requests, retrieves images from storage, generates combination data, and validates results. This multi-functionality improves time efficiency by handling diverse data collection tasks through a single automated system.
4Productivity
If automated data collection is implemented, then productivity increases, but operational complexity increases
Solution Approach 1:
The system is segmented into specialized units with clear responsibilities: the extraction unit handles word extraction and the generation unit handles combination creation. This segmentation simplifies operational management by making each component's function explicit and manageable, while the overall system achieves high productivity through coordinated automation.
Data Source
AI summary
An information processing system according to one embodiment includes an extraction unit and a generation unit. The extraction unit extracts a word specified by a user and contained in a request transmitted from a user terminal and an image displayed as a choice on the user terminal in response to the request. The generation unit generates combination data by associating image data corresponding to the image and obtained from an image storage unit with a name based on the word.