Image Processing Apparatus Subject Information Redundancy
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Solution Overview
Problem
Conventional techniques fail to address the issue of redundancy in subject information pieces associated with composite images, which can lead to decreased usability due to similarity among subject information pieces from material images.
Innovation Solution
An image processing apparatus that obtains subject information from multiple material images and generates a composite image, where the apparatus records subject information in association with the composite image based on a predetermined similarity criterion, either recording one set of subject information if similar, or both if not similar.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all subject information pieces of each material image are unconditionally associated with the composite image, then complete subject information is preserved, but redundancy increases and usability decreases
Solution Approach 1:
The patent extracts only the necessary subject information from material images by comparing similarity between subjects. When subjects are similar, only one subject information piece is extracted and associated with the composite image, rather than extracting all subject information pieces unconditionally. This extraction principle reduces redundancy while preserving essential information.
Solution Approach 2:
The patent introduces a similarity criterion parameter to determine whether to associate subject information with the composite image. By evaluating the similarity parameter between subjects from different material images, the system dynamically decides whether to include subject information, thereby controlling redundancy based on the similarity parameter threshold.
2Quantity of substance
If subject information from multiple material images is recorded with the composite image, then information completeness is improved, but data storage requirements and processing complexity increase
Solution Approach 1:
The patent performs preliminary similarity comparison between subjects from different material images before associating subject information with the composite image. This preliminary action of comparing and filtering subject information based on similarity criteria prevents unnecessary data storage and processing, thereby improving productivity while maintaining information completeness.
3Device complexity
If similarity comparison is performed between subject information pieces, then redundancy is reduced, but additional processing time and computational resources are required
Solution Approach 1:
The patent introduces a similarity criterion as an intermediary mechanism to manage the association between subject information and composite images. This intermediary comparison process systematically evaluates subject similarity and makes automated decisions about information association, reducing the need for complex manual processing and long-term information structure management.
Data Source
AI summary
There is provided an image processing apparatus. An obtainment unit obtains a first image, first subject information indicating a first subject detected from the first image, a second image, and second subject information indicating a second subject detected from the second image. A composition unit generates a composite image by compositing the first image and the second image. A recording unit records one of the first subject information and the second subject information in association with the composite image in a case where a similarity between the first subject information and the second subject information satisfies a predetermined criterion, and records both of the first subject information and the second subject information in association with the composite image in a case where the similarity between the first subject information and the second subject information does not satisfy the predetermined criterion.