AI Camera Parameter Generation From Natural Language Prompts
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Solution Overview
Problem
Existing camera systems lack intuitive and natural methods for users to control image quality and camera settings, relying on manual numerical adjustments that are often non-intuitive and limiting.
Innovation Solution
A language-based camera parameter generation system that uses an AI-language model to set ISP and camera control parameters based on user-provided language prompts, allowing for intuitive control of image quality and creative expression.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually set numerical ISP parameters and camera control settings, then precise control over image quality is achieved, but the operation becomes non-intuitive and complex
Solution Approach 1:
The patent introduces a language processing intermediary that translates natural language descriptions into camera parameters. Instead of users directly manipulating numerical values, they describe desired image qualities in natural language, and the system mediates by converting these descriptions into precise parameter settings, thus resolving the contradiction between precision and ease of operation
Solution Approach 2:
The patent replaces the mechanical interaction of manually adjusting numerical parameters with a linguistic interaction system. Users communicate through natural language rather than directly manipulating camera settings, substituting the mechanical parameter-adjustment interface with an AI-driven language understanding system that automatically determines optimal parameters
2Ease of operation
If preset parameters are used by camera users, then ease of operation is improved, but control over visual quality is limited
Solution Approach 1:
The patent transforms static preset parameters into dynamic, adaptive parameters that respond to user descriptions. Instead of selecting from fixed presets, the system dynamically generates parameters based on real-time natural language input, allowing users to adaptively control visual quality across a continuous range rather than being constrained to discrete preset options
Solution Approach 2:
The patent enables continuous parameter adjustment based on language input. The system changes multiple parameters simultaneously (exposure, focus, color, etc.) based on semantic understanding of user descriptions, allowing versatile visual quality control while maintaining operational simplicity through natural language interaction
Data Source
AI summary
Described herein is a language-based camera parameter generation system that sets the parameters for the ISP and/or control of a digital camera from a user-input language prompt, such that the capture and processing of the ISP matches the visual quality described by the language prompt. The camera operator provides a language-based description, such as a short sentence (for example, “dreamy and awe-inspiring image that is well exposed”) before taking a photo, and the system will generate the control and ISP parameters such that captured image or video will have visual qualities that match the language prompt. This gives a new way for the camera user to control the visual quality of the image and enables new creative expressions. The benefit of a language-based approach is that it is more natural and intuitive than manually setting numerical values.