Image Selection Suggestions Using Visual Characteristic Matching
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Solution Overview
Problem
Users face difficulties in efficiently selecting images from large image libraries, as existing methods require manual scrolling or text-based search queries, leading to cumbersome and resource-intensive processes.
Innovation Solution
A computer-implemented method that receives user input to select images, determines image characteristics, and automatically identifies and displays matching images, reducing the need for manual searching and scrolling, thereby enabling efficient image retrieval and selection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual scrolling is used to select images from a large image library, then the user can view and select images, but the process becomes cumbersome and time-consuming
Solution Approach 1:
The system performs preliminary actions by automatically analyzing image characteristics (such as blur, exposure, composition) and pre-selecting candidate images that match the user's selection criteria before the user even initiates the selection process. This eliminates the need for manual scrolling through entire image libraries.
Solution Approach 2:
The patent replaces the mechanical scrolling and manual selection process with an automated computer vision system that analyzes image characteristics and presents curated selections. The system substitutes manual mechanical interaction with automated digital analysis and presentation of pre-filtered results.
2Productivity
If text-based search queries are used to find images, then the user can locate specific images, but the process requires significant user input and is resource-intensive
Solution Approach 1:
The system performs self-service by automatically analyzing the user's selected image and identifying similar images based on visual characteristics without requiring the user to provide text queries or additional input. The system serves itself by autonomously understanding the selection criteria and executing the search.
Solution Approach 2:
The patent changes the search parameters from text-based queries to visual characteristic-based matching. Instead of requiring users to input text descriptions, the system analyzes visual parameters (blur, exposure, composition, color) of the selected image and uses these parameters to automatically retrieve similar images, reducing both user input and computational overhead.
3Adaptability or versatility
If all images in the library are displayed for selection, then the user has complete choice, but the interface becomes complex and difficult to navigate
Solution Approach 1:
The system extracts only the most relevant images from the complete library by analyzing visual characteristics and presenting a curated subset of candidate images. Instead of displaying all images, the system extracts and presents only those that match the criteria derived from the user's initial selection, simplifying the interface while maintaining selection flexibility.
Solution Approach 2:
The system performs preliminary filtering and analysis to pre-select candidate images before presenting them to the user. This preliminary action reduces the complexity of the interface by only displaying relevant options rather than the entire library, while still providing adaptability through characteristic-based matching.
Data Source
AI summary
Implementations are related to providing image selection suggestions. In some implementations, a method includes receiving first user input indicative of selection of one or more first images in an image library and determining one or more first image characteristics of the one or more first images. The method further includes identifying one or more second images in the image library. Each image of the one or more second images is associated with at least one second image characteristic that matches at least one of the one or more first image characteristics. The method further includes causing a user interface to be displayed. The user interface includes the one or more second images and enables selection of the one or more second images by a user.