Timeline GUI for Automatic Image Sorting and Highlighting
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Solution Overview
Problem
Conventional surveillance cameras are unable to automatically identify and sort images, placing a burden on users who need to manually manage and review images for developmental milestones or other purposes.
Innovation Solution
A timeline-based graphical user interface that automatically identifies and sorts images with specific features, such as facial expressions, by receiving and editing images to display them in a rectangular layout with enhanced visualization and special effects, reducing user burden through AI-driven image processing and display.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional surveillance cameras are used to take images, then images can be captured, but the camera is incapable of identifying and sorting images automatically, imposing a burden on users
Solution Approach 1:
The system enables self-service by automatically identifying and sorting images based on detected features without requiring user intervention. The processor autonomously analyzes images, identifies those containing specific features, and organizes them chronologically, allowing the system to serve itself rather than requiring manual user management.
Solution Approach 2:
The system performs preliminary action by pre-identifying and sorting images before user review. By detecting features in advance and organizing images in chronological order on the graphical interface, the system prepares the image collection in advance, eliminating the need for users to perform manual sorting operations.
2Productivity
If images are displayed in a conventional manner, then all images can be shown, but users have to take time sorting the images manually
Solution Approach 1:
The system replaces the mechanical manual sorting process with an automated computational system. The processor substitutes human manual sorting operations by automatically detecting image features, determining chronological order, and arranging images on the graphical interface, thereby eliminating the need for mechanical user sorting actions.
Solution Approach 2:
The system changes the parameter of image organization from unsorted to chronologically sorted based on detected features. By automatically determining the time sequence of images and arranging them accordingly on the graphical interface, the system transforms the organizational state of images, improving sorting efficiency without requiring user time investment.
3Loss of information
If the graphical user interface displays all edited images equally, then complete information is provided, but important images are not highlighted
Solution Approach 1:
The system applies local quality by providing different visual treatments to different images based on their importance. Images containing detected features are displayed with enhanced visualization and special effects, while other images are displayed in a standard manner. This localized differentiation allows important images to be easily identified without losing information about other images.
Data Source
AI summary
A method for providing a timeline-based graphical user interface includes displaying a plurality of edited images on a graphical user interface, and arranging edited images according to a timeline, with each of the edited images having a specific feature; and enlarging one of the edited images, which is the closest to a pre-defined visual center of the graphical user interface. The graphical user interface is substantially in a shape of a rectangle. The edited images are arranged along a straight line, which is parallel to a long side of the rectangle and passes a center of the rectangle.