Image Scoring via Band Segmentation and Color Metrics
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Solution Overview
Problem
Manually scoring images for visual appeal is time-consuming, and existing methods fail to accurately account for the distribution of visual content across different segments of an image.
Innovation Solution
An image scoring system that segments images into multiple bands, calculates color metric values for each band, and determines a score based on ratios and comparisons of these values, allowing for efficient automated scoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual review of images is performed to score visual appeal, then scoring accuracy can be maintained, but time consumption increases significantly
Solution Approach 1:
The patent replaces manual visual review (mechanical human evaluation) with an automated image scoring system that uses computational algorithms to analyze image characteristics and assign scores, thereby eliminating time consumption while maintaining scoring capability
Solution Approach 2:
The system enables self-service scoring where the image processing system automatically evaluates its own outputs without requiring human intervention, allowing the system to score images independently and efficiently
2Productivity
If existing automated scoring methods are used, then time consumption is reduced, but accuracy in accounting for visual content distribution deteriorates
Solution Approach 1:
The patent divides the image into multiple horizontal bands (e.g., top third, middle third, bottom third) and analyzes the color metric values in each segment separately, allowing the system to account for the distribution of visual content across different parts of the image while maintaining fast automated scoring
Solution Approach 2:
The system applies different analysis methods to different regions of the image by calculating color metric values (such as saturation, brightness, or color harmony) for each band individually, enabling accurate assessment of local visual qualities and their distribution throughout the image
Data Source
AI summary
An image may include depictions of different parts of a scene, such as the ground, the sky, and objects between the ground and the sky. The image may be divided into multiple bands, and the image may be scored based on colors of pixels within different bands of the image.