Image Display Device Event Subevent Clustering
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Solution Overview
Problem
Existing image display devices struggle to efficiently display large numbers of images taken over extended periods, as they lack the ability to automatically group and display images in smaller units, making it difficult for users to navigate and find specific images within events.
Innovation Solution
An image display device with a storage means, event clustering means, scene change detecting means, and subevent clustering means that groups image data into events and further breaks these into subevents based on scene changes, allowing for controlled display in units of subevents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If images are displayed in large groups by date, then the display area is efficiently utilized, but it becomes difficult to navigate and find specific images within events
Solution Approach 1:
The patent segments the large group of images by date into smaller subgroups based on shooting location. Each date's images are divided into location-based categories (e.g., Tokyo, Kyoto, Osaka), allowing users to navigate through events first, then locations, then individual images. This hierarchical segmentation maintains efficient display area utilization while dramatically improving navigation ease by reducing the visual search space at each level.
2Ease of operation
If images are manually recorded in separate folders, then images can be organized by location, but the operation becomes time-consuming and complex
Solution Approach 1:
The system automatically extracts location information from image metadata (GPS coordinates, EXIF data) and performs hierarchical classification without user intervention. The automatic classification unit processes all images, grouping them by date and location, and generates the navigation structure autonomously. This self-service approach eliminates manual folder creation while achieving comprehensive organization.
Solution Approach 2:
The patent replaces the mechanical manual operation of creating folders and moving files with an automated information processing system. The automatic classification unit uses computational algorithms to analyze image metadata, determine locations, and organize images hierarchically. This substitution of mechanical operations with automated processing dramatically reduces time loss while maintaining ease of access.
3Measurement precision
If images are displayed one at a time, then each image can be viewed in detail, but it is inefficient for browsing through large numbers of images
Solution Approach 1:
The patent implements a three-level segmented display hierarchy: first level shows dates, second level shows locations within each date, and third level shows individual images. This segmentation allows users to quickly scan through dates and locations to identify areas of interest, then drill down to view specific images in detail. The segmented structure enables efficient browsing by filtering out irrelevant images at higher levels while maintaining the ability to view individual images when needed.
Data Source
AI summary
An image grouping device which may comprise a first classifying unit for classifying a plurality of items of image data in a first predetermined unit, a second classifying unit for breaking the plurality of the items of image data classified by the first classifying unit into smaller groups in a second predetermined unit, and a control unit for controlling the plurality of the items of image data classified by the second classifying unit to be displayed on a display. The control unit may automatically select a background image according to background music during a slide show.