Composite Chat Messages Integrating Text and Image Data
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Solution Overview
Problem
Current chat systems lack the ability to effectively share and visualize user emotions, positions, and surroundings through a combination of text and image data, limiting the depth of user interaction and expression.
Innovation Solution
A method and system that extracts objects related to user emotions, positions, or surroundings from text input and image data, generating composite messages by combining and editing the data to be shared via a chat room, using a user terminal with a camera, input unit, sensor unit, and processor to analyze and process the data for visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If text and image data are separately shared in chat systems, then users can exchange information, but the ability to visually express emotions and convey contextual information is limited
Solution Approach 1:
The patent combines text data and image data into a single composite message structure that is processed and shared together through the chat system. The server receives both data types, integrates them with user status information, and transmits them as a unified message package, enabling simultaneous expression of emotional and contextual information without requiring separate communication channels.
Solution Approach 2:
The patent creates a composite message structure that integrates multiple data types (text, image, user status) into a unified information unit. This composite message contains embedded image data, text data, and user status information that work together to convey comprehensive user expression, similar to how composite materials combine different substances to achieve enhanced properties.
2Measurement precision
If image data and text are combined into composite messages, then user status is reflected more accurately, but the complexity of data processing and sharing increases
Solution Approach 1:
The client device performs preliminary processing of image data, text data, and user status information before transmission to the server. The composite message is pre-assembled with all relevant data integrated and organized, reducing the processing burden on the server and enabling accurate user status representation without overwhelming system complexity.
Solution Approach 2:
The chat system is designed to handle multiple data types (text, image, status information) through a unified message processing mechanism. The server and client both support receiving, processing, and displaying composite messages with embedded image data and text data, making the system multi-functional while maintaining a consistent processing architecture that manages complexity.
3Ease of operation
If objects related to emotions and positions are extracted from image data, then communication becomes more intuitive, but the processing time and computational resources increase
Solution Approach 1:
The system extracts only the most relevant objects from image data that directly relate to user emotions and positions, rather than performing comprehensive image analysis. This selective extraction of key visual elements provides sufficient intuitive communication while limiting computational resources and processing time to essential features only.
Solution Approach 2:
The patent replaces complex mechanical image processing with automated computational methods. The server automatically extracts objects from image data using image processing algorithms, eliminating the need for manual analysis and reducing processing time while maintaining the ability to convey intuitive emotional and positional information.
Data Source
AI summary
A message sharing method includes: receiving image data captured via an imaging unit; receiving text input by a user via the input unit; analyzing, by a processor, the text and the image data and extracting a first object related to the user by using at least one of a result of analyzing the text, a result of analyzing the image data, and a sensed value obtained from a sensor unit; editing the image data to further include the extracted first object, and converting the edited image data to a thumbnail format; sharing the converted image data and the text with another user via a chat room.