Context-Sensitive Text Illustration System
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Solution Overview
Problem
Current technologies do not effectively enhance the user experience of digital content consumption by automatically illustrating textual content, leading to a lack of visual engagement and enjoyment in reading electronic books, articles, and other documents on various devices.
Innovation Solution
A system and method that parses textual content to identify contextual information, searches for and filters relevant illustrations, and combines them with the text to create a graphical story, using both server-side and client-side subsystems to enhance user devices with visual elements like images, videos, and animations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If textual content is automatically illustrated with images, videos, and animations, then user experience and visual engagement are enhanced, but device complexity and processing requirements increase
Solution Approach 1:
The system is divided into two separate subsystems: a server-side text illustration subsystem that performs the complex tasks of parsing, searching, and filtering illustrations, and a client-side text illustration subsystem that handles local processing and display. This segmentation reduces the complexity burden on individual devices while maintaining enhanced user experience.
Solution Approach 2:
A server acts as an intermediary between the content source and the user device. The server performs the computationally intensive tasks of parsing textual content, searching for illustrations in data repositories, and filtering results based on contextual information, thereby reducing the processing requirements for user devices.
2Manufacturing precision
If illustrations are searched and filtered based on contextual information, then relevance and quality of visual content improve, but processing time and computational resources increase
Solution Approach 1:
The server-side subsystem performs preliminary parsing of textual content to extract contextual information (descriptive words, phrases, metadata) before the client device receives the content. Illustrations are pre-searched and pre-filtered based on this contextual information, so that when the client displays the content, relevant illustrations are already identified and ready for display, reducing on-device processing time.
3Adaptability or versatility
If multiple data repositories and databases are searched for illustrations, then the variety and relevance of illustrations improve, but the complexity of the search process and data management increase
Solution Approach 1:
The server-side text illustration subsystem is designed to search across multiple types of data repositories and databases (local data stores, remote data stores, Internet resources) using a unified approach. The system extracts contextual information from text and uses it to search diverse sources for applicable illustrations, managing the complexity centrally while providing versatile illustration options to users.
Data Source
AI summary
A method and system for illustrating textual content is provided. The method may include identifying textual content to be illustrated, finding at least one illustration corresponding to the context associated with the textual content, and presenting a graphical story combining the textual content with the found illustration to a user.