Image Annotation Integration for Cross-Device Consistency
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Solution Overview
Problem
Existing image processing systems struggle with accurately integrating annotations from different devices due to variations in annotation recording standards, leading to inconsistent and redundant annotations for the same subject.
Innovation Solution
An image processing apparatus that includes an acquisition unit to gather annotations, a determination unit to assess relevance, and a control unit to integrate relevant annotations into a unified annotation, addressing inconsistencies across different devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple recording devices record annotations in one image file, then the quantity of annotations increases, but the consistency and accuracy of annotations deteriorate due to different detection accuracies between devices
Solution Approach 1:
The patent merges multiple annotations from different recording devices by determining their relevance and integrating them into a unified annotation. The integration unit combines overlapping or similar annotations from multiple devices, resolving conflicts through relevance determination based on detection accuracy metrics, thereby maintaining annotation quality while preserving the benefits of multi-device recording.
Solution Approach 2:
The patent introduces an intermediary processing system consisting of a relevance determination unit and an integration unit that acts as a mediator between multiple recording devices and the final annotation output. This intermediary layer evaluates the relevance of annotations from different devices and synthesizes them into consistent annotations, preventing direct conflict while maintaining accuracy.
2Quantity of substance
If multiple annotations are recorded for the same subject from different devices, then the completeness of annotation coverage improves, but the complexity of handling and processing annotations increases
Solution Approach 1:
The patent combines multiple annotations for the same subject into a single integrated annotation by determining relevance and merging overlapping or complementary annotations. This merging process reduces the total number of annotations while preserving complete subject coverage, thereby simplifying subsequent processing and handling operations.
Solution Approach 2:
The patent discards redundant or less accurate annotations while recovering and preserving important annotation information through the integration process. The relevance determination unit identifies and discards duplicate or conflicting annotations, while the integration unit recovers and consolidates essential annotation data, reducing overall complexity while maintaining coverage.
3Ease of operation
If annotations from different recording devices are integrated, then the usability and ease of handling annotations improves, but the requirement for relevance determination and integration processing increases system complexity
Solution Approach 1:
The patent merges multiple annotations into unified annotations, significantly simplifying user handling and interaction. By consolidating annotations from multiple devices into single integrated annotations, the system reduces the number of individual annotations users must manage, thereby improving ease of operation despite the added processing complexity in the background.
Data Source
AI summary
An image processing apparatus includes an acquisition unit configured to acquire an image file including a plurality of annotations, a determination unit configured to determine a relevance between the plurality of annotations, and a control unit configured to perform control to integrate annotations determined to be relevant by the determination unit among the plurality of annotations into an integrated annotation and output the integrated annotation.