Natural Language Color Control System for Imaging Devices
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Solution Overview
Problem
Current color management systems are difficult for users to navigate, as they require technical understanding and precise numeric specifications, lacking intuitive natural language interfaces for modifying color profiles, leading to a trial-and-error process for achieving desired color outputs.
Innovation Solution
A system that uses semantic descriptions to identify, characterize, and modify color profiles through natural language inputs, such as 'color name' + 'change magnitude' + 'change direction' + 'change color property', allowing users to adjust color outputs by selecting from presented natural language descriptions of available color processing paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If precise numeric color specifications based on standardized color spaces are used, then color accuracy is improved, but user understanding and operation become more difficult
Solution Approach 1:
The patent introduces natural language color descriptions as an intermediary layer between the user and the precise numeric color specifications. Users interact with intuitive terms like 'redder', 'darker', or 'more saturated' rather than directly manipulating numeric values in color spaces such as CIELab or device-dependent specifications. This intermediary natural language interface translates user intent into precise color adjustments, resolving the contradiction between accuracy and ease of use.
2Adaptability or versatility
If multiple color profiles are available for selection, then color rendering flexibility is improved, but system complexity increases
Solution Approach 1:
The patent uses natural language descriptions as an intermediary to simplify the selection process among multiple color profiles. Instead of requiring users to understand and navigate through multiple technical color profiles and their parameters, the system presents and selects profiles based on intuitive natural language characteristics. This mediator layer maintains the flexibility of having multiple profiles while reducing the perceived complexity for users.
3Adaptability or versatility
If trial-and-error methodology is used to adjust color profiles, then color adjustment capability is maintained, but time consumption increases
Solution Approach 1:
The patent implements a feedback mechanism where the system analyzes the user's natural language description of the desired color change, compares it with the characteristics of available color profiles, and automatically selects the most appropriate profile. This feedback loop eliminates the need for repeated trial-and-error attempts by directly translating user intent into the correct profile selection, significantly reducing the time required to achieve the desired color adjustment while maintaining full adaptability.
Data Source
AI summary
A method and system for controlling color output includes receiving a document containing a color image, producing a first output copy of the document using a first color processing path, receiving at least one natural language request to adjust the color output of the device, adjusting the color output of the device, and producing a second output copy of the document. The method and system further includes presenting natural language descriptions of the effects of color processing paths with or without sample palettes to the user either to solicit a suggestion from the user or present the user with choices based upon the natural language request received.