Image Grouping via Temporal Gap Analysis
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Solution Overview
Problem
Users face significant manual effort in organizing digital audiovisual content due to insufficient organization techniques, requiring them to manually move and tag images after downloading from removable storage media, which is time-consuming and inefficient.
Innovation Solution
A download interface that allows users to group images based on creation dates and user input, enabling the creation of multiple folders during the download process, with options for adjusting folder names and image assignments, and automatic features like red-eye correction and photo stacking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If users manually organize images after downloading, then organization precision is improved, but time consumption increases significantly
Solution Approach 1:
The system performs preliminary organization actions by automatically creating folders and sorting images based on creation dates during the download process itself, rather than requiring users to perform these actions after downloading. The download interface automatically groups images into multiple folders based on temporal patterns, eliminating the need for subsequent manual sorting operations.
2Manufacturing precision
If users manually move and tag images, then organization accuracy is improved, but operational effort increases
Solution Approach 1:
The system provides self-service organization by automatically performing folder creation, image sorting, and tagging operations without requiring user intervention. The download interface autonomously analyzes creation dates, identifies temporal patterns, and organizes images into appropriate folders, eliminating the need for users to manually perform these organizational tasks while maintaining accurate organization through automated date-based classification.
3Device complexity
If a single target directory is used for downloads, then device complexity is reduced, but organization efficiency decreases
Solution Approach 1:
The system segments the single target directory into multiple sub-folders based on temporal patterns of image creation. Instead of downloading all images to one directory requiring manual sorting, the download interface automatically divides them into multiple folders organized by time periods or events, improving organization efficiency while maintaining relatively simple directory structure through automated segmentation.
Data Source
AI summary
Gap values for a collection of images are obtained; each gap value is a temporal difference between temporally adjacent images. A first grouping of the collection of images into one or more groups is determined based at least in part on the gap values. The first grouping is performed such that each group is temporally contiguous. The first grouping is presented and input from a user is received in response to the presented first grouping. A second grouping of the collection of images into two or more groups is determined based at least in part on the user input. The second grouping is presented.