Camera Settings Auto-Configuration via Reference Image Vectors
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Solution Overview
Problem
Despite advancements in smartphone camera technology, users often struggle to capture high-quality photos due to lack of knowledge on photography techniques and device settings, leading to varying results even with the same device.
Innovation Solution
A system and method that utilize reference images with similar attributes to enhance captured images by analyzing attributes, calculating vector representations, and automatically configuring device settings to achieve professional-quality image effects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If smartphone camera technology is improved with multiple lenses and sophisticated features, then the capability to take photos is enhanced, but the difficulty of operation increases for average users
Solution Approach 1:
The system automatically analyzes the captured image attributes and selects appropriate reference images without requiring user intervention. The device self-configures settings by comparing image vectors and applying learned parameters, enabling the camera to serve itself rather than requiring expert user knowledge.
Solution Approach 2:
The system uses reference images with known good settings as feedback to automatically adjust camera parameters. By comparing the captured image against reference images and analyzing attribute mismatches, the system feedbacks configuration adjustments to achieve professional-quality results automatically.
2Reliability
If automated image enhancement using reference images is implemented, then image quality consistency is improved, but system complexity increases
Solution Approach 1:
The system creates vector representations (copies) of image attributes from reference images and compares them against the captured image. By copying and analyzing key attributes like lighting, composition, and subject characteristics, the system determines configuration adjustments without requiring complex manual analysis.
Solution Approach 2:
The system automatically changes camera parameters based on attribute comparison results. By identifying mismatches between captured image attributes and reference image attributes, the system adjusts settings such as exposure, focus, and color balance to match the reference quality standards.
Data Source
AI summary
Systems and methods for enhancing a live scene to be captured by a camera of a user device based on one or more best matched reference images that include similar subject matter and attributes of the live scene are disclosed. A preview of a live scene is displayed on the user device. Attributes of the live scene are identified. The live scene is segmented separately into a foreground and a background. Vector representations of the attributes of the segmented live scene are calculated and user device parameters are obtained, and both are used to identify reference images that include the attributes of the live scene. The identified reference images are displayed on the user device and a selection is made. The user device parameters are configured based on the selection made to capture the live scene to obtain similar effects of the selected reference image.