Automated Emoji Generation for Interaction Text
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Solution Overview
Problem
The existing method of manually selecting emoji images for interaction content is time-consuming, leading to low efficiency in content generation and limited emotion expression in media interactions.
Innovation Solution
A content generation method that predicts a target emoji type based on interaction text and historical interaction content, performs feature extraction on text and image features, and generates a matching emoji image for insertion into the interaction text, using a computer device and server to automate the process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection of emoji images is used, then accuracy of emotion expression is improved, but content generation efficiency deteriorates
Solution Approach 1:
The system enables self-service by automatically generating emoji images based on interaction text without requiring manual selection. The emoji generation model processes the text and produces matching emoji images autonomously, eliminating the need for users to manually browse and select from emoji libraries, thus resolving the contradiction between automation and accuracy.
Solution Approach 2:
The patent replaces the mechanical manual selection process with an automated AI-based emoji generation system. Instead of users manually selecting emoji images, the system uses natural language processing and image generation models to automatically create context-appropriate emoji images, substituting human manual operations with automated computational processes.
2Productivity
If automated emoji generation is implemented, then content generation efficiency is improved, but device complexity deteriorates
Solution Approach 1:
The system segments the emoji generation process into distinct functional modules: text processing module, emoji type prediction module, and emoji image generation module. Each module handles a specific aspect of the generation process, making the complex system more manageable and maintainable while achieving automated emoji generation.
Solution Approach 2:
The emoji generation model is designed as a universal system that can handle multiple types of interaction text and generate various emoji images through a single integrated framework. This multi-functional approach reduces overall system complexity compared to having separate specialized systems for different emoji types.
Data Source
AI summary
A content generation method includes: obtaining target interaction text of a target object for a target media object; predicting a target emoji type matching the target interaction text according to the target interaction text and pieces of historical interaction content of the target object that include emoji images; obtaining a target text feature based on feature extraction of the target interaction text; obtaining a reference image feature based on feature extraction of at least one reference emoji image, wherein an emoji type of the at least one reference emoji image is the target emoji type; obtaining an encoding result by performing encoding based on the target text feature and the reference image feature; decoding the encoding result, to generate a target emoji image matching the target interaction text configured for insertion into the target interaction text to generate target interaction content of the target object for the target media object.