Moodboard Color Subpalette Selection for Preference-Matched Paint Choices
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Solution Overview
Problem
Consumers face difficulty in selecting paint colors that coordinate with each other or with furniture due to the large number of options and subjective nature of color selection, and existing methods fail to provide a personalized color palette that reflects user preferences and reduces the number of colors to a manageable set.
Innovation Solution
A method to generate a color subpalette from a moodboard by clustering pixels in a cubic RGB color space, iteratively reducing clusters, and ranking colors based on their similarity to a second palette to select a subset of representative colors that align with user preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a large number of representative colors are extracted from the moodboard to ensure comprehensive color representation, then the completeness of color representation is improved, but the complexity of user selection increases and the palette becomes less manageable
Solution Approach 1:
The patent segments the large color palette into multiple subpalettes based on color properties (e.g., warm colors, cool colors, neutral colors) or functional categories. This segmentation allows users to navigate and select from smaller, more manageable groups rather than being overwhelmed by a single large palette, while collectively the subpalettes maintain comprehensive color representation from the moodboard.
Solution Approach 2:
The patent applies local quality by organizing colors into different subpalettes with distinct characteristics or purposes. Each subpalette has its own specific quality or theme (e.g., accent colors, background colors, complementary colors), allowing users to focus on relevant color groups based on their specific needs, thereby improving selection ease while maintaining overall completeness.
2Ease of operation
If the color palette is reduced to a small number of colors to improve user selection ease, then the ease of operation is improved, but the completeness of color representation from the moodboard is lost
Solution Approach 1:
Instead of reducing to a single small palette, the patent segments colors into multiple subpalettes, each containing a limited number of colors for easy selection. The collection of all subpalettes collectively preserves the comprehensive color representation from the moodboard, thus maintaining both user ease and completeness.
Solution Approach 2:
The patent implements a nested structure where multiple subpalettes are contained within an overall color palette system. Each subpalette is a smaller, manageable unit nested within the larger comprehensive palette, allowing users to work with small color groups while the nested structure preserves access to the full range of moodboard colors.
3Productivity
If traditional clustering methods are used to reduce the color palette, then the processing speed is improved, but the ability to reflect user preferences and design styles is reduced
Solution Approach 1:
The patent changes the parameters used for color clustering and palette generation to incorporate user preferences and design style information. Instead of using only traditional color distance metrics, the system adjusts clustering parameters based on user-selected moodboards, design style indicators, or trending color data, thereby maintaining processing efficiency while improving adaptability to user preferences.
Data Source
AI summary
Method of obtaining a color subpalette from a first moodboard containing one or more digital color images, said method comprising the steps of: (1) generating a first color palette with k1 representative colors from the first moodboard by a method that takes account of underrepresented colors, (2) providing a second color palette with k2 colors, (3) ranking the colors in the first color palette according to a scoring algorithm, which assigns a score to each of the colors in the first color palette based on its color difference with each of the colors in the second color palette, and (4) selecting a subset of ksub colors from the first color palette, which have the scores corresponding to the least color difference with the colors in the second color palette, said subset of colors being the color subpalette. The disclosure also provides a data processing device and a computer program product.