Theme-Based Document Style Transfer for Faster Style Selection
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Solution Overview
Problem
Document designers face inefficiencies in manually searching and selecting styles from previous documents for new document designs, which is time-consuming and labor-intensive.
Innovation Solution
A document design application that uses theme-based input to generate document tags, calculates similarity coefficients, and automatically transfers styles from candidate documents to the active document based on object similarity scores.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual searching and selection of styles from previous documents is used, then designers can carefully select appropriate styles, but the process is time-consuming and labor-intensive
Solution Approach 1:
The patent replaces the manual mechanical process of style selection with an automated computational system. The style transfer application automatically analyzes the active document, searches the document library, and applies appropriate styles without manual intervention, thus eliminating the time-consuming manual searching while maintaining style selection quality through algorithmic matching.
Solution Approach 2:
The system enables self-service by allowing the style transfer application to autonomously perform the complete style selection and application process. The application independently analyzes document characteristics, identifies suitable styles from the library, and applies them automatically, freeing designers from the manual style selection task entirely.
2Ease of operation
If all styles of a selected previous document are loaded for examination, then the designer can pick and apply appropriate styles, but this increases device complexity and processing requirements
Solution Approach 1:
The patent extracts only the necessary style attributes and document characteristics required for style transfer, rather than loading and processing all styles from selected documents. The system identifies and extracts relevant style properties (fonts, colors, layouts) and document features (theme, content type, structure) to perform targeted style matching and application.
Solution Approach 2:
The style transfer process is segmented into distinct automated components: document analysis, style library search, similarity calculation, and style application. Each component handles a specific aspect of the process independently, reducing overall system complexity while maintaining the ability to provide flexible style application through the integrated workflow.
3Productivity
If automated style transfer is implemented, then document creation speed increases, but the system requires sophisticated algorithms for theme-based search and similarity calculation
Solution Approach 1:
The system performs preliminary actions by pre-processing and indexing document styles and characteristics in the document library before actual style transfer is needed. Documents are pre-analyzed and tagged with relevant attributes, enabling faster retrieval and matching during the style transfer process without requiring complex real-time analysis.
Solution Approach 2:
The patent introduces intermediary elements such as document tags, theme categories, and similarity metrics that mediate between the active document and the style library. These intermediaries simplify the matching process by providing structured comparison criteria, reducing the need for sophisticated direct comparison algorithms while maintaining high document creation speed.
Data Source
AI summary
Certain aspects and features of the present disclosure involve receiving theme-based input corresponding to a first document and generating document tags corresponding to the first document based on the theme-based input. The aspects and features further involve generating, using the document tags, a coefficient of similarity between the first document and library documents, and producing candidate documents from the library documents by comparing the coefficient of similarity for each of a number of library documents to a threshold. The aspects and features additionally involve selecting a second document from among the candidate documents and transferring at least one style from the second document to the first document based on an object similarity score corresponding to an object of a plurality of objects in the second document.