Automatic Image Selection Using Weighted Criteria
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Solution Overview
Problem
Users face challenges in managing large collections of digital images on mobile devices due to constrained user interfaces, requiring them to manually sift through numerous photos to select the best ones, which is time-consuming and inefficient.
Innovation Solution
An image-capturing device automatically selects the best digital images based on weighted criteria such as metadata or content, allowing users to adjust these criteria based on their preferences, and shares the selected images with contacts through notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually sift through large collections of digital images on mobile devices, then they can select the best images, but the process is time-consuming and inefficient
Solution Approach 1:
The system automatically selects images by evaluating them against user-defined criteria without requiring manual intervention. The device performs self-service image selection by analyzing metadata, content, and user preferences to identify and present the best images, eliminating the need for users to manually review each image.
Solution Approach 2:
The system changes parameters by dynamically adjusting weights assigned to different selection criteria (e.g., date, location, content tags, image quality metrics). Users can modify these parameters to reflect their preferences, and the system recalculates image rankings based on the updated parameter weights, enabling flexible and adaptive image selection.
2Stability of the object's composition
If users manually organize and manage large image collections, then they can maintain organization, but the process is complex and requires significant user effort
Solution Approach 1:
The system automatically organizes images by evaluating them against user-defined criteria and maintaining organized collections without requiring manual user intervention. The device performs self-service organization by analyzing image properties, metadata, and user preferences to automatically categorize and manage the image collection.
Solution Approach 2:
The system performs preliminary organization actions by pre-defining selection criteria and weightings that reflect user preferences. Images are pre-evaluated and organized according to these established parameters before user review, reducing the need for subsequent manual sorting and organization efforts.
3Adaptability or versatility
If conventional image management approaches are used on mobile devices, then users can access their image collections, but the constrained user interface makes management difficult
Solution Approach 1:
The system extracts the complex organization and selection logic from the user interface, performing these functions automatically in the background. Users interact with a simplified interface that presents pre-selected and pre-organized images based on automatic evaluation, while the complex management operations are handled by the system without requiring users to navigate complex menus or perform manual sorting tasks.
4Productivity
If automatic image selection is implemented, then selection efficiency improves, but the system must process and evaluate multiple image properties and criteria
Solution Approach 1:
The system segments the image selection process into distinct evaluation stages, assessing different criteria (metadata, content, user preferences) separately and assigning weights to each segment. This modular approach allows efficient processing by evaluating each criterion independently and combining results, reducing the computational complexity compared to holistic image analysis.
Data Source
AI summary
Described herein are techniques related to automatic selection of a group of one or more digital images from a set of digital images based, at least in part, upon weighted criteria regarding properties (e.g., metadata or content) of the digital images. This Abstract is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.