Message App Image Generation Using Conversation-Based Layering
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Solution Overview
Problem
Existing electronic devices lack the ability to generate personalized images based on conversation history and user inputs, limiting the expression of personal emotions and context in user interactions.
Innovation Solution
An electronic device is equipped with a processor and memory to extract keyword text from conversation history, identify relevant images, and generate layers using generative AI to create personalized images by overlapping first and second layers based on conversation information, keyword text, and image-related information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional image display methods are used in message applications, then device complexity remains low, but the ability to express personal emotions and context is limited
Solution Approach 1:
The image generation process is segmented into distinct functional modules: conversation analysis module that extracts keywords and emotions, image identification module that selects base images, layer generation module that creates overlay elements, and composition module that combines layers. This segmentation enables complex image generation capabilities while maintaining manageable system architecture through modular design.
Solution Approach 2:
The patent introduces an intermediary processing layer between the message application and image display. This intermediary system analyzes conversation content, identifies emotional context, and generates appropriate visual representations without requiring direct complex interactions between the message app and image generation algorithms, thus managing system complexity.
2Ease of operation
If personalized images are generated based on conversation history, then user interaction quality improves, but processing time increases
Solution Approach 1:
The system performs preliminary actions by pre-processing and storing conversation history, pre-identifying potential keywords and emotional contexts, and pre-selecting candidate images. This preliminary processing enables faster image generation when user interaction requires personalized visual feedback, reducing the time penalty of complex image creation.
Solution Approach 2:
The patent implements partial action by generating only the necessary components of personalized images based on the specific conversation context. Instead of always generating complete complex images, the system selectively creates only the layers and elements needed to convey the specific emotional or contextual information, thereby reducing processing time while maintaining interaction quality.
3Manufacturing precision
If multiple layers are generated and overlapped to create personalized images, then image personalization quality improves, but computational resources consumed increases
Solution Approach 1:
The patent applies local quality by generating different numbers and types of layers for different regions or aspects of the image based on conversation analysis. Instead of uniformly generating multiple complex layers for all images, the system creates only the necessary layers in specific areas where they add value to expressing the emotional or contextual information, thereby reducing overall computational energy consumption while maintaining personalization quality.
Data Source
AI summary
An electronic device is provided. The electronic device includes memory storing one or more computer programs, a display, and one or more processors communicatively coupled to the memory and the display, wherein the one or more computer programs include computer-executable instructions that, when executed by the one or more processors individually or collectively, cause the electronic device to display an execution screen of a message application, extract at least one keyword text based on conversation information with history displayed through the execution screen, based on receiving a user input for generating an image displayable on the execution screen, identify an image corresponding to the at least one keyword text among a plurality of images stored in the memory, obtain at least one first layer based on the identified image, obtain at least one second layer based on at least one of the conversation information, the at least one keyword text, or information related to the identified image, and generate the image by overlapping the at least one first layer and the at least one second layer.