Digital Image Non-Reflow Block Confidence Rating
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Solution Overview
Problem
Existing methods for converting printed content into digital reflow content struggle with accurately processing non-reflow blocks, such as headers, footers, and graphics, which can corrupt the integrity of reflow content, requiring manual editing and lacking efficient automated detection.
Innovation Solution
A method and system that process digital images to identify non-reflow blocks with confidence ratings, automatically determining if manual evaluation is needed, and triggering editing sessions for blocks with low confidence ratings, ensuring accurate separation and preservation of non-reflow content.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated conversion processes are used to convert digital images to reflow content, then conversion speed and productivity are improved, but accuracy and reliability of non-reflow block identification deteriorate
Solution Approach 1:
The patent segments the content detection process into multiple stages: initial automated detection of non-reflow blocks, confidence rating assignment, and selective manual review. This segmentation allows high-speed automated processing for clear cases while reserving manual review for ambiguous cases, thus maintaining both productivity and reliability.
Solution Approach 2:
The system incorporates feedback mechanisms where manually reviewed and corrected non-reflow blocks are fed back into the automated detection system to improve its accuracy over time. The confidence ratings and correction data create a feedback loop that continuously enhances the automated process's reliability.
2Reliability
If manual review of all non-reflow blocks is performed, then accuracy and reliability are improved, but time consumption and loss of time increase
Solution Approach 1:
Instead of requiring manual review of all non-reflow blocks (excessive action), the system applies partial review only to blocks with confidence ratings below a threshold. This partial action approach maintains high reliability for critical cases while minimizing time consumption by automatically accepting clear-cut automated detections.
Solution Approach 2:
The system changes the parameter of review intensity based on confidence ratings. High-confidence detections require no manual review, medium-confidence detections require selective review, and low-confidence detections require full manual review. This parameter-based differentiation optimizes the balance between accuracy and time consumption.
3Quantity of substance
If non-reflow blocks are included in reflow content, then completeness of content is improved, but integrity and quality of reflow content deteriorate
Solution Approach 1:
The patent extracts and separates non-reflow blocks from the main reflow content stream. By identifying and isolating these blocks (headers, footers, sidebars, etc.), the system preserves the integrity of the reflowable content while maintaining completeness through separate inclusion of extracted non-reflow elements.
Solution Approach 2:
The content is segmented into distinct categories: reflow content, non-reflow blocks, and their respective metadata. This segmentation allows the system to process each type according to its specific requirements, ensuring both completeness (all content is accounted for) and integrity (reflow content remains pure and usable).
Data Source
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AI summary
A computer system and method for efficiently processing a digital image into reflow content is presented. The method comprises each of the following as executed on a computer. A digital image is obtained for processing. The digital image includes at least some content suitable for conversion into reflow content. The digital image is processed into a digital content file. The digital content file includes both reflow content and non-reflow blocks of content. For each non-reflow block of content in the digital content file, the following are performed. A determination is made as to whether the non-reflow block of content should be manually evaluated for editing. A manual evaluation is automatically triggered for editing if it is determined that the non-reflow block of content should be manually evaluated for editing.