Natural-Language Camera Setting Control for Easier Image Capture
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Solution Overview
Problem
Users find it overwhelming to navigate the numerous image-capture and image-processing settings on cameras, often resulting in suboptimal image capture and processing due to the complexity of available features and modes.
Innovation Solution
A system that interprets natural-language requests from users to adjust image-capture and image-processing settings, determining keywords and applying appropriate settings or techniques based on user intent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the camera provides numerous image-capture and image-processing settings, then the functionality and versatility of the camera is improved, but the complexity of operation increases making it overwhelming for users
Solution Approach 1:
The patent introduces an intermediary system consisting of a processor and software that translates natural language user requests into camera settings and image processing parameters. This intermediary layer shields users from the complexity of numerous technical settings while maintaining access to full camera functionality, effectively resolving the contradiction between versatility and ease of operation.
Solution Approach 2:
The patent replaces the traditional mechanical/manual system of adjusting camera settings (where users directly manipulate physical or digital controls) with an automated linguistic interface. Users speak or type natural language descriptions of desired image outcomes, and the system automatically determines the appropriate technical parameters, substituting complex mechanical interaction with simpler linguistic communication.
2Adaptability or versatility
If the camera provides numerous image-capture and image-processing settings, then the adaptability to different shooting scenarios is improved, but the device complexity increases
Solution Approach 1:
The processor acts as an intelligent intermediary that manages the complexity of numerous camera settings and processing options. It receives high-level natural language instructions and automatically translates them into specific technical parameters, thereby maintaining adaptability to different scenarios without increasing the apparent device complexity for users.
Solution Approach 2:
The system dynamically changes multiple camera parameters (exposure, focus, white balance, processing algorithms) based on natural language input. Instead of requiring users to understand and adjust each parameter individually, the system automatically modifies the appropriate parameters in response to linguistic descriptions of desired image characteristics.
3Measurement precision
If manual adjustment of image-capture settings is required, then the precision of setting control is improved, but the time required to achieve desired settings increases
Solution Approach 1:
The system performs preliminary analysis of the user's natural language request to determine the appropriate camera settings before image capture. By pre-processing the linguistic input and automatically calculating the optimal parameters, the system eliminates the time-consuming process of manual adjustment while maintaining precise control over capture settings.
Solution Approach 2:
The system incorporates feedback mechanisms where the processor analyzes user requests, determines appropriate settings, applies them, and can refine based on user confirmation or correction. This feedback loop enables precise setting control through iterative natural language interactions rather than time-consuming manual trial and error.
Data Source
AI summary
Systems and techniques are described herein for capturing images. For instance, a method for capturing images is provided. The method may include obtaining a natural-language request from a user; determining one or more keywords based on the natural-language request; and adjusting at least one of image-capture settings or image-processing settings of an image-capture device based on the one or more keywords.