Digital Template Image Selection Automation
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Solution Overview
Problem
Consumers face a time-consuming process when manually searching for and composing digital images to create customized image products that meet specific artistic criteria, such as number of persons, facial expressions, and background, which often falls short of expectations in terms of aesthetic appeal.
Innovation Solution
A computer system designs a digital template with openings that require specific image attributes, automatically searching an image database to find images that match these criteria, ensuring that if a user modifies an image, the system updates the selection to maintain the artistic design, thereby automating the image selection process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a computer system automatically searches and selects images from a database according to artistic criteria, then the productivity and ease of operation are improved, but the device complexity increases
Solution Approach 1:
The system divides the image selection task into multiple independent openings within a template, where each opening has its own image attributes and selection criteria. This segmentation allows parallel processing of multiple images simultaneously, improving productivity while managing complexity through modular organization of selection parameters for each opening.
Solution Approach 2:
The system uses configurable image attributes (such as number of persons, facial expressions, background, color, etc.) as adjustable parameters that can be modified to change selection behavior. By changing these parameters, the system adapts to different artistic criteria without requiring structural changes to the core selection mechanism, thus improving productivity while controlling complexity.
2Manufacturing precision
If the system evaluates multiple image attributes in parallel according to artistic criteria, then the manufacturing precision of image selection is improved, but the device complexity increases
Solution Approach 1:
The evaluation system is segmented into multiple independent attribute evaluators, each responsible for assessing a specific image attribute (e.g., number of persons, facial expressions, background). Each evaluator operates independently and contributes to the overall fitness score, enabling parallel evaluation that improves selection accuracy while managing complexity through modular evaluation components.
Solution Approach 2:
The system employs a universal fitness score calculation mechanism that integrates multiple attribute evaluations into a single comprehensive metric. This multi-functional approach allows the same evaluation framework to handle various image attributes simultaneously, improving selection precision without requiring separate complex systems for each attribute.
3Ease of operation
If the system automatically coordinates image attributes and template contents, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system automatically coordinates image attributes with template contents without requiring manual user intervention. The coordination mechanism self-adjusts by evaluating image fitness against template requirements and automatically selecting appropriate images for each opening, improving ease of operation while the underlying complexity is managed through automated algorithms.
Solution Approach 2:
The system uses feedback from image attribute evaluation to automatically adjust and refine the coordination between images and template openings. The fitness score feedback guides the selection process, allowing the system to self-optimize the coordination without manual intervention, thereby improving ease of operation while managing complexity through iterative refinement.
Data Source
AI summary
A method for creating a coordinated image display by designing a digital template for the image display. The template includes a number of openings for displaying digital images. Each of the openings has at least one stored required image attribute that must be satisfied to a programmed degree according to the artistic design of the template. A template recipe includes an image attribute for a dependent opening, which means that it's defined to be dependent upon at least one image attribute of an image in another opening of the template. The computer system automatically searches an image database for an image satisfying the required image attribute for the dependent opening. If a user of the computer system manually replaces or modifies an image upon which another image depends, the computer system will automatically search the image database for a new image that satisfies the required dependency upon the replaced or modified image, if necessary.