Image Matching Retrieval for Embedded Information Processing
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Solution Overview
Problem
Existing technologies require complex processing each time a new image is analyzed to extract embedded information, leading to increased processing load on computers.
Innovation Solution
An information processing system that stores previously photographed images and extracted information in association, allowing for efficient retrieval and processing of embedded information without requiring extensive computation on the user terminal or server.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complicated processing is executed every time a new photographed image is acquired to extract embedded information, then information extraction accuracy is maintained, but processing load on the computer increases
Solution Approach 1:
The system performs preliminary processing by storing extracted information from target images in a database before new images are acquired. When a new photographed image is obtained, the system first checks the database for previously extracted information about the same target image, avoiding redundant complicated processing and reducing the processing load while maintaining extraction accuracy.
Solution Approach 2:
The system creates and stores copies of extracted information from target images in a database. Instead of re-extracting information from every photographed image, the system retrieves stored copies of previously extracted information by comparing target image data, significantly reducing the computational complexity of information extraction.
2Loss of information
If complicated processing is executed every time a new photographed image is acquired to extract embedded information, then complete information extraction is achieved, but processing time increases
Solution Approach 1:
The system performs preliminary extraction of information from target images and stores the results in a database before new photographed images are acquired. When processing new images, the system first checks the database for existing extracted information, retrieving it directly when matches are found, thereby reducing processing time while ensuring complete information extraction through database verification.
Solution Approach 2:
The system implements a feedback mechanism where extracted information from target images is stored in a database and used to verify and supplement information extraction from new photographed images. This feedback loop ensures complete information extraction by comparing new extractions with stored results, while reducing processing time by avoiding redundant extraction operations.
Data Source
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AI summary
Photographed image acquisition means (201) of an information processing device (20) acquires a photographed image photographed by photographing means (25) capable of photographing a target image including predetermined information. Reference means (202) refers to storage means (200) for storing the target image photographed in the past and information extracted from the target image in the past, in association with each other. Determination means (207) determines whether or not the target image photographed in the past has been captured in the photographed image. Processing execution means (211) executes, when the target image photographed in the past has been captured in the photographed image, predetermined processing based on the information associated with the target image.