Emotion-Based Image Retrieval for Digital Communication
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Solution Overview
Problem
Users face challenges in expressing emotions effectively with existing emojis, as they are often limited and time-consuming to manage, and there is a need for more personalized and efficient ways to convey emotional status in digital communication.
Innovation Solution
A method and system that determine a user's emotional status using emotion recognition technologies and obtain personalized expressional images based on this status, allowing users to select or customize images featuring characters that match their emotions, which can be integrated into various digital content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional emojis are used to express emotions, then emotional expression is possible, but the process becomes time-consuming and limited in effectiveness
Solution Approach 1:
The system automatically detects the user's emotional status through text analysis and autonomously retrieves and presents relevant expressional images without requiring manual emoji selection. The user simply inputs text, and the system handles the entire process of emotion detection, image retrieval, and presentation, making the operation self-service and eliminating time-consuming manual management.
Solution Approach 2:
The system pre-establishes a comprehensive database of expressional images categorized by emotional status before actual use. When a user inputs text, the emotion detection and image retrieval processes are immediately executed based on pre-prepared data structures and associations, enabling rapid response without time-consuming search or selection during the moment of expression.
2Adaptability or versatility
If traditional emojis are used, then emotional communication is possible, but personalization and effectiveness are limited
Solution Approach 1:
The system transitions from uniform, standardized emojis to personalized expressional images that can be tailored to individual user preferences and contexts. Each user can have customized images that reflect their personal style, and the system adapts the selection based on specific emotional nuances detected in the user's text, providing localized and personalized emotional expression rather than generic solutions.
Solution Approach 2:
The system changes the parameters of emotional expression from fixed, discrete emoji categories to continuous, nuanced emotional states detected through text analysis. By analyzing the semantic content, tone, and context of user input, the system determines specific emotional parameters (such as intensity, type, and combination of emotions) and matches them with appropriate expressional images, thereby improving the reliability and accuracy of emotional expression.
Data Source
AI summary
The present disclosure provides a method, computer system and computer program product for obtaining an image. According to the method, an emotional status of a user is determined, at least one character can be determined based on a preference of the user, and at least one image comprising the at least one character can be obtained based on the emotional status of the user.