Image Extraction via Evaluation-Based Grouping for Photo Albums
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Solution Overview
Problem
The challenge lies in efficiently extracting a predetermined number of images from a large amount of digital image data while improving user operability, as existing methods are time-consuming and lack the personal touch of traditional photo albums, often including poor images and requiring extensive effort.
Innovation Solution
An image extracting method that involves inputting evaluations for images, dividing them into groups, and extracting images based on these evaluations to create a photo album, allowing for efficient selection and arrangement of high-quality images in a user-friendly manner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If digital still cameras photograph an extremely large number of photographs, then image data can be managed using a personal computer, but it becomes time-consuming to arrange such large amounts of image data
Solution Approach 1:
The patent divides the large set of photographs into multiple groups based on evaluation results. By segmenting the images into groups with similar characteristics or quality levels, the system enables more efficient management and selection processes, reducing the time required to arrange large amounts of image data while maintaining effective organization.
Solution Approach 2:
The patent implements automatic evaluation and grouping functions that allow the system to self-organize the large number of photographs without requiring manual arrangement of each individual image. The automatic evaluation process assigns scores to images based on predetermined criteria, and the system automatically groups them accordingly, significantly reducing the time investment required from the user.
2Productivity
If photographs are arranged in chronological order in an electronic photo album, then all photographs can be included, but poor or unfavorable photographs are also included
Solution Approach 1:
The patent performs preliminary evaluation and grouping of photographs before final selection for the photo album. By evaluating images in advance based on quality criteria and grouping them accordingly, the system ensures that only high-quality images are selected for the final album, preventing poor photographs from being included while maintaining an efficient selection process.
Solution Approach 2:
The patent implements an evaluation mechanism that provides feedback on image quality through automatic scoring and grouping. This feedback system allows the user to review and adjust the selection criteria, ensuring that only favorable photographs are included in the final album while maintaining efficient automation throughout the selection process.
3Ease of operation
If the user looks at each and every photograph among photographs corresponding to a large amount of image data, then selection can be made, but it becomes a very time-consuming operation
Solution Approach 1:
The patent extracts and highlights only the high-quality photographs from the large set of images based on automatic evaluation results. By extracting the best images and presenting them in organized groups, the system maintains user control over the selection process while eliminating the need to review every single photograph, significantly reducing the time required for image selection.
Solution Approach 2:
The patent implements a streamlined selection process that evaluates and groups images based on predetermined criteria, requiring user intervention only for final confirmation rather than detailed review of each image. This partial action approach maintains sufficient user control while dramatically reducing the time investment required, as users only need to review grouped results rather than individual photographs.
Data Source
AI summary
An image extracting method that can efficiently extract a predetermined number of images from a large amount of image data and improve user operability. Evaluations for a plurality of images are input. A predetermined number of images are extracted from the plurality of images based on the input evaluations. In a preferred form, the evaluations are sequentially input for respective ones of the plurality of images, preferably, in chronological order.