Chronological Image Layout via Sender Group Segmentation
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Solution Overview
Problem
Existing image management systems lack efficient methods for organizing and displaying images from multiple sources in chronological order within specific event contexts, failing to effectively utilize sender group affiliations and image evaluation feedback.
Innovation Solution
A system comprising a server and portable devices that acquire, process, and display image information by associating images with event timelines, using sender group affiliations and image evaluation data to arrange and prioritize images chronologically, with features for face detection and evaluation-based display adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If images from multiple sources are collected and managed, then the quantity of image data increases, but the complexity of organizing and displaying them in chronological order increases
Solution Approach 1:
The system segments image data management by creating distinct functional modules: acquisition unit for collecting images from multiple sources, information acquisition unit for extracting metadata, sender specifying unit for identifying sources, and generation unit for organizing displays. This segmentation allows each module to handle specific tasks independently, managing large quantities of image data without overwhelming the overall system complexity
Solution Approach 2:
The system introduces an intermediary information management layer that processes image metadata (acquisition time, sender information) separately from the image data itself. This intermediary layer acts as a mediator between raw image inputs and chronological displays, simplifying the organization process by handling sorting and filtering operations on metadata rather than on the images directly
2Adaptability or versatility
If sender group affiliations are used to organize images, then the adaptability of the display system improves, but the complexity of determining and associating sender groups increases
Solution Approach 1:
The system performs preliminary action by pre-establishing sender group affiliations and storing them in advance. The sender specifying unit retrieves pre-defined group information associated with each sender, rather than determining group relationships in real-time during image processing. This allows the display system to adapt to different group configurations without adding computational complexity during the actual image organization process
3Productivity
If images are arranged in chronological order with evaluation feedback, then the productivity of image display is improved, but the complexity of processing evaluation data increases
Solution Approach 1:
The system implements feedback by incorporating image evaluation data into the chronological sorting process. The generation unit uses both acquisition time and evaluation metrics to determine display priority and ordering. This feedback mechanism allows the system to automatically adjust display productivity based on image quality assessments without requiring complex manual intervention, as the evaluation data is processed automatically alongside temporal information
Data Source
AI summary
When image information is transmitted from a first communication device, a server acquires a storyboard ID, a user ID, a photographing date/time, and the like contained in the image information. Furthermore, the server compares the storyboard ID and the user ID with the storyboard ID and the user ID in the storyboard information, specifies the registration destination of the image registration information corresponding to the image information, and registers them. Furthermore, the server generates a layout screen on which the images are displayed in chronological order based on the image registration information and the layout information.