Image Curation System Automates Multi-Source Image Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Users face difficulties in efficiently accessing and organizing a large quantity of images stored across various devices and services, making it challenging to locate and view interesting images without manual intervention.
Innovation Solution
The implementation of image curation techniques on a computing device, which automatically generates criteria to identify and organize images from multiple sources, selects a subset for display, and arranges them in a layout, allowing for automatic and user-intervention-free presentation of curated images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If images are stored across multiple sources and services, then the quantity of images increases, but the difficulty of locating particular images increases
Solution Approach 1:
The patent segments the large collection of images from multiple sources into smaller, organized groups based on automatically generated criteria such as date, location, people, and events. This segmentation allows users to navigate and locate specific images more easily without being overwhelmed by the total quantity across all sources.
Solution Approach 2:
The patent introduces an intermediary curation system that automatically processes and organizes images from multiple sources according to generated criteria. This intermediary layer between the user and the raw image collection performs the work of sorting and filtering, making image location easier without requiring manual user effort.
2Measurement precision
If manual curation of images is performed, then image selection accuracy improves, but user time and effort increase
Solution Approach 1:
The patent implements a self-service system where the computing device automatically generates criteria and curates images without requiring user intervention. The system serves itself by autonomously analyzing images, generating relevant criteria, and selecting appropriate images for display, thereby eliminating the need for manual user effort while maintaining selection accuracy.
Solution Approach 2:
The patent performs preliminary actions by automatically generating criteria and pre-curating images before user viewing. The system prepares the image collection in advance by organizing it according to generated criteria, so when users view images, the curation work has already been completed, saving user time and effort.
3Extent of automation
If automatic image curation is implemented, then user intervention is eliminated, but the complexity of the system increases
Solution Approach 1:
The patent implements a universal system where a single computing device performs multiple functions: storing images, generating criteria, curating images, and displaying results. By consolidating these functions into one multi-functional system rather than separate specialized components, the automation is achieved without proportionally increasing overall system complexity.
Data Source
AI summary
Image curation techniques are described. In one or more implementations, one or more modules are launched for execution on a computing device. Responsive to the launch, criteria are generated automatically and without user intervention through execution of the one or more modules by a computing device. Images are curated using the generated criteria automatically and without user intervention through execution of the one or more modules, the curated images identified from a plurality of different image sources that are associated with a user. The curated images are caused to be displayed by a display device of the computing device automatically and without user intervention through execution of the one or more modules.