Camera-Preview Object Editing With Real-Time Generative AI
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Solution Overview
Problem
Existing electronic devices lack efficient methods for transforming and editing images using generative artificial intelligence, particularly in real-time image processing and object manipulation, limiting user interaction and image enhancement capabilities.
Innovation Solution
An electronic device equipped with a camera, display, and processor that utilizes a generative AI model to identify and transform objects in images based on metadata and real-time preview images, allowing for real-time editing and enhancement of images, including face detection and in-painting operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If real-time image processing and transformation is implemented using generative AI, then image editing capability and user interaction are improved, but device complexity and computational resource requirements increase
Solution Approach 1:
The system segments the image processing task by first identifying specific objects in the image, then applying generative AI transformations only to those identified objects rather than processing the entire image. This object-centric approach reduces computational complexity while maintaining editing capability.
Solution Approach 2:
The system performs preliminary object identification and selection before applying generative AI transformations. By pre-identifying target objects and preparing transformation parameters, the system reduces the computational burden during the actual editing process and enables faster real-time processing.
2Manufacturing precision
If generative AI model is used for image transformation, then image quality and transformation accuracy are improved, but processing time and computational power consumption increase
Solution Approach 1:
The system applies generative AI transformations locally to specific identified objects rather than transforming the entire image. This localized approach maintains high transformation accuracy for the target objects while significantly reducing overall processing time and computational power consumption.
Solution Approach 2:
The system performs partial transformation by focusing computational resources only on the identified objects that require editing, rather than processing the entire image. This selective approach achieves sufficient transformation accuracy for the target areas while reducing total processing time.
3Adaptability or versatility
If multiple image processing functions are integrated, then versatility and user experience are improved, but device complexity increases
Solution Approach 1:
The system integrates multiple image processing functions including object identification, generative AI transformation, and various editing operations into a single unified platform. This multi-functional approach enhances versatility and user experience while managing system complexity through integrated architecture.
Solution Approach 2:
The system merges object identification, image transformation, and editing functions into an integrated workflow. By combining these previously separate functions into a unified system, the patent achieves enhanced versatility while managing complexity through coordinated integration rather than separate independent systems.
Data Source
AI summary
An electronic device includes a camera, a display, at least one processor, and memory storing instructions that, when executed by the at least one processor, cause the electronic device to display, via the display, a first image, display, via the display, a preview image concurrently with the first image, the preview image being obtained by the camera, identify a second object in the preview image, based on the second object, identify a first object in the first image that is related to the second object in the preview image, generate a second image by editing the first image using a generative artificial intelligence (AI) model such that at least a portion of the first object is transformed based on the second object, and display, via the display, the second image.