User-Specific Electronic Document Thumbnail Generation
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Solution Overview
Problem
Existing thumbnail systems for electronic documents do not effectively represent characteristic information, making it difficult for users to distinguish between target documents and others.
Innovation Solution
An information processing apparatus that extracts regions of interest from previously viewed electronic documents and creates thumbnails based on these regions, using a learning model that associates user attributes, processes, and document regions to tailor thumbnails to individual user needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a thumbnail is created as a reduced image representing content of an electronic document, then the thumbnail can be displayed to help users check document content, but the thumbnail does not necessarily contain characteristic information that represents a difference between target electronic documents
Solution Approach 1:
The patent extracts the region of interest (ROI) from the electronic document to create the thumbnail. Instead of using the entire document or a simple reduced image, the system identifies and extracts only the most relevant portion that contains characteristic information. This extraction process ensures that the thumbnail contains distinguishing features while maintaining simplicity in the creation process.
Solution Approach 2:
The patent applies local quality by ensuring that the thumbnail represents the specific region of interest rather than the entire document uniformly. The ROI is selected based on its characteristic information content, making that local region the focus of the thumbnail. This allows different parts of the document to have different levels of importance, with the ROI being prominently featured.
2Adaptability or versatility
If a thumbnail is created without manual configuration of settings, then the system can automatically adapt to user needs, but the thumbnail may not match the specific purpose of each user
Solution Approach 1:
The patent implements feedback by monitoring which regions of the electronic document the user actually views or interacts with. This viewing behavior data is fed back to the system, which then uses it to automatically adjust and optimize the ROI selection for future thumbnails. The system learns from user feedback to better match thumbnails to individual user purposes without requiring manual configuration.
Solution Approach 2:
The patent enables self-service by allowing the system to automatically create and optimize thumbnails based on user behavior patterns. The system serves itself by autonomously identifying ROIs and adapting to user needs without requiring manual intervention. Users benefit from personalized thumbnails that automatically adapt to their specific purposes and viewing habits.
Data Source
AI summary
An information processing apparatus includes a processor configured to extract from one or more electronic documents viewed before by a user a region of interest on which the user focuses attention and create a thumbnail of an electronic document to be viewed by the user in accordance with the region of interest by extracting an image corresponding to the region of interest from the electronic document.