Document Layout Automation Using Learned Image Regions
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Solution Overview
Problem
Conventional document processing techniques require operators to explicitly specify layout locations for images, making it difficult to achieve an optimal layout for each image in a document.
Innovation Solution
A document processing apparatus and method that automatically separates image information into regions, associates this information with layout data, and uses learning information to lay out content without operator intervention, selecting suitable templates and adjusting layout based on user actions and frequency data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If operators explicitly specify layout locations for images, then layout control is precise, but operation complexity increases and automation is reduced
Solution Approach 1:
The system performs automatic layout determination using learning information stored in the holding unit, enabling the apparatus to serve itself without operator intervention. The layout unit automatically selects optimal positions for document components based on pre-learned layout patterns, eliminating the need for operators to manually specify layout locations while maintaining high-quality layout results
Solution Approach 2:
Layout information is learned and stored in advance in the holding unit during the learning phase. This preliminary action allows the system to have layout knowledge ready before actual document processing occurs, enabling automatic layout determination without requiring operators to provide input during the actual layout process
2Productivity
If manual layout specification is required, then layout precision is controllable, but productivity decreases
Solution Approach 1:
The layout unit automatically determines optimal positions for document components using learning information from the holding unit, enabling the system to perform layout tasks without operator intervention. This self-service capability significantly improves document composition efficiency by eliminating the time operators would spend manually specifying layout locations for each component
Solution Approach 2:
The learning information is accumulated and refined continuously through the learning unit, which updates the holding unit with improved layout patterns over time. This continuous improvement ensures that the automatic layout determination becomes increasingly accurate and efficient, maintaining high productivity without sacrificing layout quality
Data Source
AI summary
A document processing apparatus accepts input of image information which represents a document, separates the image information as content of the document into regions, associates the image information separated as content into regions with information used to lay out the content, and holds the associated information as learning information. Subsequently, the document processing apparatus lays out the content of the inputted document based on the held learning information and outputs a document in which the content is laid out.