Image Update Precision via User-Approved Difference Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing information processing systems lack an efficient method to update original images by reflecting user-selected difference information items detected between original and comparing target images, leading to unnecessary detection of previously edited components in subsequent comparisons.
Innovation Solution
An information processing apparatus with a comparing target image acquisition unit, a difference detection unit, and an original image updating unit that selects and reflects user-approved difference information items, updating the original image by combining approved differences while ignoring unapproved or unconfirmed changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the original image is updated by reflecting all detected difference information items, then the image update completeness is improved, but the detection precision for subsequent comparisons deteriorates due to re-detection of previously edited components
Solution Approach 1:
The system uses feedback by storing difference information items that have been reflected in the original image, and uses this stored information to exclude previously edited components from subsequent difference detections. This feedback mechanism prevents re-detection of unchanged components while maintaining update completeness.
Solution Approach 2:
The system performs preliminary action by pre-storing difference information items before they are reflected in the original image. This preliminary storage enables the system to proactively exclude these components from future detections, preventing unnecessary re-detection and improving detection precision.
2Productivity
If all difference information items are reflected in the original image, then the update completeness is improved, but the processing time increases due to unnecessary re-detection of previously edited components
Solution Approach 1:
The system extracts and separates difference information items into two categories: those that have been reflected in the original image and those that have not. By taking out the already-processed items, the system can exclude them from subsequent detections, reducing processing time while maintaining update efficiency.
Solution Approach 2:
The system performs preliminary classification of difference information items into reflected and unreflected categories. This preliminary action enables faster processing in subsequent steps by avoiding re-detection of already-processed components, thus reducing overall processing time.
3Loss of information
If the original image is updated with all detected differences, then the information completeness is improved, but the detection accuracy for new changes deteriorates due to inclusion of unchanged components
Solution Approach 1:
The system uses feedback from stored difference information items to guide subsequent detections. By knowing which components have already been reflected, the system can focus detection only on new changes, improving measurement precision while maintaining information completeness.
Solution Approach 2:
The system segments difference information items into reflected and unreflected categories. This segmentation allows the detection process to be divided into handling already-processed items (through exclusion) and new items (through detection), improving precision by focusing only on genuine new changes.
Data Source
AI summary
An information processing apparatus includes a comparing target image acquisition unit that acquires a comparing target image that is to be compared with an original image, a difference detection unit that detects one or more difference information items by comparing the original image and the comparing target image, and an original image updating unit that updates the original image by reflecting a difference information item that is selected by a user among the difference information items, which are detected.