Image Analysis System for Dynamic Color Accent Generation
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Solution Overview
Problem
Existing user interface systems face delays and inconsistent user experiences due to the time-consuming process of clients analyzing images to select appropriate color accents, which can vary across different devices and user preferences.
Innovation Solution
An image analysis system generates metadata based on lightness and hue classifications of image pixels, allowing the application to dynamically adjust color accents in the user interface without requiring clients to analyze images, thereby reducing processing time and ensuring consistency across devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If clients analyze images to select color accents when images are received, then color accent selection can be customized per client specification, but processing time increases and user interface display is delayed
Solution Approach 1:
The system performs image analysis and generates color accent metadata in advance, before the actual image display. The server analyzes incoming images and pre-computes the color characteristics, storing them as metadata that can be quickly retrieved and applied during UI rendering, eliminating the need for real-time analysis at the client device
Solution Approach 2:
The patent introduces metadata as an intermediary between the raw image and the color accent application. Instead of directly analyzing images at the client device, the system uses pre-computed color metadata as a mediator that contains all necessary color information, enabling fast retrieval and application without repeated image analysis
2Adaptability or versatility
If clients analyze images to select color accents, then color selection can be tailored to different client specifications, but user experience consistency deteriorates across different devices
Solution Approach 1:
The metadata serves as a standardized intermediary that ensures consistent color accent generation across different client devices. By pre-computing color characteristics on the server side and transmitting them as standardized metadata, the system guarantees that all devices receive the same color information, eliminating variations caused by different client analysis implementations
Solution Approach 2:
The system extracts and standardizes color parameters (such as dominant colors, color temperature, saturation levels) into a unified metadata format. These standardized parameters can be consistently interpreted across different devices while still allowing for client-specific adjustments within defined ranges, maintaining both consistency and adaptability
3Adaptability or versatility
If clients perform image analysis when images are received, then color accents can be dynamically selected, but the complexity of the client device increases
Solution Approach 1:
The patent extracts the complex image analysis function from the client device and relocates it to the server side. The client device only needs to receive and apply pre-computed color metadata, which is a simple operation. This extraction eliminates the need for clients to have image analysis capabilities, significantly reducing device complexity while maintaining dynamic color accent selection
Solution Approach 2:
Instead of requiring client devices to perform image analysis, the system creates a simplified copy of the essential color information in the form of metadata. This metadata copy contains all necessary color characteristics extracted from the original image, allowing clients to apply color accents without needing the original image or analysis algorithms
Data Source
AI summary
In some embodiments, a method receives a plurality of swatch configurations that each define combinations for lightness values, saturation values, and hue values and receives information associated with a characteristic of an image. A swatch configuration is selected based on the information where the swatch configuration defines a plurality of combinations for lightness values, saturation values, and hue values. The method generates a plurality of colors using the plurality of combinations for lightness values, saturation values, and hue values by varying at least one of the saturation value, the lightness value, and the hue value for the plurality of colors. The plurality of colors are applied to an interface that is displaying the image.