Color Description Analysis for Multi-Color Image Retrieval
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Solution Overview
Problem
Existing image search methods struggle to accurately retrieve images based on natural language descriptions that include multiple colors, as they typically only allow for the designation of a single color per search target.
Innovation Solution
A color description analysis device and method that converts natural language descriptions of colors into data representing color ratios within a prescribed color space, using a dictionary to determine the area occupancy of each color and their relationships, enabling the generation of image feature quantities for accurate image retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If a single color is designated for one search target image, then the image search can be performed with simple processing, but the search accuracy decreases when the image contains multiple colors
Solution Approach 1:
The patent segments the color description into multiple color components with individual area ratios. Instead of treating the image as having a single color, the system divides the color representation into multiple discrete color segments (e.g., red at 30%, blue at 70%) that collectively represent the multi-color image. This segmentation allows the search system to accurately represent and match multi-color images while maintaining manageable processing complexity through structured data organization.
2Measurement precision
If natural language descriptions with multiple colors are converted into color feature quantities, then the image search accuracy improves, but the data processing complexity increases
Solution Approach 1:
The patent transforms the parameter representation from a single color value to multiple color values with associated area ratios. The natural language description is converted into a structured parameter set where each color mentioned in the text becomes a parameter with a specific area ratio weight. This parameter transformation enables accurate multi-color search while controlling processing complexity through efficient data structures and algorithms that handle the multi-parameter representation.
3Loss of information
If color area ratios are determined for multiple colors in an image, then the color description accuracy improves, but the computational cost increases
Solution Approach 1:
The patent applies partial action by focusing computational resources on determining area ratios only for the specific colors mentioned in the natural language description, rather than calculating ratios for all possible colors in the image. The system identifies the relevant color subset from the text (e.g., red and blue) and performs area ratio determination only for those colors, reducing computational cost while maintaining color description accuracy for the queried colors.
Data Source
AI summary
The present invention provides a color description analysis device which converts a natural language description as a description regarding colors expressed in a natural language into data representing distribution of values in a prescribed color space, comprising color ratio determining means which determines the ratio of each area occupied by each color included in the natural language description in the whole area of an image as the object of the natural language description by use of words and phrases indicating relationship between colors and included in the natural language description.