Image Grouping Controller for Burst Capture Selection
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Solution Overview
Problem
Users face inefficiencies in selecting desired image data from a large number of similar images captured in a short period with burst capture functions, leading to increased time and effort in image selection processes, even with the use of automatic AI selection, which may not accurately identify user preferences.
Innovation Solution
An image forming apparatus that classifies similar image data into groups and generates display information and thumbnail images for both grouped and non-grouped data, allowing users to efficiently select images through a user-friendly interface, reducing processing time and wait times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a large number of image data are displayed as individual thumbnail images, then all images can be individually selected, but the user interface becomes cluttered and selection time increases
Solution Approach 1:
Multiple similar thumbnail images are merged into a single representative thumbnail image that displays a composite or selected view of the group. This merging reduces the number of displayed elements from many individual thumbnails to a manageable number of grouped representations, making the interface less cluttered and selection faster while preserving the ability to access individual images within each group.
2Loss of time
If AI automatic selection is used, then selection time is reduced, but the selected images may not align with user preferences
Solution Approach 1:
The image set is segmented into multiple groups of similar images, with each group represented by a single thumbnail. This segmentation allows users to select at the group level rather than individually reviewing every image, significantly reducing selection time while maintaining user control over which groups are selected, thereby preserving selection accuracy according to user preferences.
3Quantity of substance
If burst capture function is used to capture multiple images in quick succession, then more images are available for selection, but the number of similar images increases making selection more difficult
Solution Approach 1:
The burst capture images that are similar to each other are automatically grouped and merged into single representative thumbnails. This merging process reduces the visual complexity of the selection interface while preserving all captured images in the background, allowing users to efficiently navigate through groups rather than being overwhelmed by individual similar images.
Data Source
AI summary
An image forming apparatus classifies, among a plurality of pieces of image data, one or more pluralities of pieces of image data into one or more groups, each including a plurality of pieces of similar image data, the one or more pluralities of pieces of image data each satisfying a corresponding predetermined classification condition for grouping similar images, classifies one or more pieces of image data not satisfying the classification condition as one or more pieces of normal image data, generates one or more pieces of similar image display information corresponding to the one or more groups obtained by classification, generates one or more normal thumbnail images corresponding to the one or more pieces of normal image data obtained by classification, and displays the one or more pieces of similar image display information and the one or more normal thumbnail images that are generated in a manner that allows selection operation.