Automated Meme Generation Framework for Message Drafting
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Solution Overview
Problem
Current meme generation tools require users to manually select images and add text, making the process inefficient and resource-intensive, with limited assistance in creating accurate and relevant memes.
Innovation Solution
A novel framework that automatically generates and recommends memes by detecting user input text and compiling relevant images and text overlays, leveraging deep learning algorithms for text and image embeddings to streamline the meme creation process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual meme generation tools are used, then users can create memes with text and images, but the process requires significant user effort and time
Solution Approach 1:
The system automatically generates memes by detecting user input text and autonomously selecting appropriate images and composing the final meme, eliminating the need for manual image selection and text overlay operations that previously required significant user time and effort
Solution Approach 2:
The system pre-processes and analyzes user input text to identify key concepts and emotions, then automatically retrieves and matches appropriate meme images from a database before final composition, performing all necessary actions before the user needs the final meme
2Productivity
If conventional meme generation systems are used, then memes can be created, but computational resources and complexity are significantly required
Solution Approach 1:
The meme generation system is divided into distinct modular components: text detection module, image selection module, and meme composition module, allowing each component to be optimized independently and reducing overall system complexity while maintaining high productivity
Solution Approach 2:
The system introduces an intermediary text analysis layer that processes user input and generates semantic representations, which then guide the image selection process, reducing the complexity of directly mapping raw text to appropriate images
Data Source
AI summary
Disclosed are systems and methods for improving interactions with and between computers in content providing, searching and/or hosting systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel framework that automatically generates and recommends Internet memes for inclusion within electronically communicated messages. As a user is drafting a message, the input text of the drafted message is analyzed and a set of Internet (or visual) memes are compiled and presented to the user within the drafting interface. Upon selection of at least one of the memes, the message is modified by automatically removing the text from the message and replacing the now removed text with the selected meme.