Automated Digital Image Selection Using Quality Metrics
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Solution Overview
Problem
The challenge lies in efficiently selecting a subset of digital images from a large set that meets user-defined criteria, particularly in scenarios where multiple photographers capture the same event, resulting in varying image quality and relevance, without requiring manual review or coordination among photographers.
Innovation Solution
A system and method that automatically evaluate and recommend digital images by assigning image quality values and considering user-defined selection criteria, utilizing features like face detection and metadata to identify relevant images, and optimizing the selection for diversity and quality, allowing for real-time or near-real-time assembly and distribution of a curated image collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual review and selection of images is performed, then image quality and relevance can be ensured, but time consumption and labor requirements increase significantly
Solution Approach 1:
The system performs automatic image evaluation and selection without requiring manual intervention. The automated image quality assessment component evaluates images based on predefined criteria, and the selection component automatically chooses images that satisfy user-defined criteria, enabling the system to serve itself rather than requiring human review for each selection.
Solution Approach 2:
The patent replaces the mechanical manual selection process with an automated computational system. The image evaluation component uses algorithms to assess image quality metrics, and the selection component uses computational logic to choose images, substituting human manual operations with automated mechanical (computational) processes.
2Adaptability or versatility
If images from multiple photographers are collected, then coverage and diversity of the image collection improve, but the complexity of selecting and coordinating images increases
Solution Approach 1:
The system divides the complex selection task into separate independent components: an image quality evaluation component that assesses individual images, and a selection component that makes decisions based on predefined criteria. This segmentation allows each component to focus on specific aspects without requiring coordination complexity.
Solution Approach 2:
The patent introduces an automated selection component as an intermediary between the collected images and the final selection. This intermediary processes images from multiple photographers uniformly according to predefined criteria, mediating the complexity of coordination by applying consistent automated rules rather than requiring manual negotiation or coordination between sources.
3Productivity
If automated image selection is implemented, then time efficiency and automation level improve, but the ability to capture nuanced user preferences and contextual understanding deteriorates
Solution Approach 1:
The system allows dynamic adjustment of selection criteria and weights to adapt to different user preferences. The automated selection component can modify its evaluation based on user-defined parameters, enabling it to adapt to various contexts and preferences while maintaining automation and efficiency.
Solution Approach 2:
The patent enables parameter changes in the selection criteria, such as adjusting the importance of different image quality metrics or modifying search terms. This allows the automated system to adapt to different user preferences by changing parameters rather than requiring complete redesign of the selection logic.
Data Source
AI summary
A method for recommending a collection of digital images from a set of images includes specifying at least one image selection criterion. For each of a plurality of images in the set of images, an image quality value for the image is determined. Images are recommended for the collection by taking into consideration the image quality value for the images and the degree to which the collection satisfies the at least one image selection criterion.