Document Image Layout Extraction for Aesthetic Template Generation

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Solution Overview

Problem

Generating templates for customer communication management systems is a time-consuming and error-prone task, particularly in creating aesthetically pleasing layouts for multi-channel communications.

Innovation Solution

A computer-implemented method for automated visual analysis of documents to generate digital templates by analyzing digital images of existing documents to identify content areas and import layouts into templates, utilizing machine learning to enhance accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If templates are generated manually by designers, then aesthetic quality of layout can be achieved, but the process is time-consuming and labor-intensive

Engineering Contradiction:

Improveaesthetic quality of layoutVSAvoidtime required to generate templates

Core Design Contradiction:

Manufacturing precisionVSLoss of time

Solution Approach 1:

The system copies layout structures from existing digital documents to create new templates automatically. By analyzing the visual structure of source documents and replicating their layout patterns, the system generates aesthetically pleasing templates without manual design work, thus reducing time while maintaining quality.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the manual mechanical process of template design with an automated computer vision system. The visual analysis system uses image processing and machine learning algorithms to automatically extract layout structures from documents, substituting human designer effort with automated computational processes.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Reliability

If templates are generated manually, then control over design elements is maintained, but the process is error-prone and difficult to scale

Engineering Contradiction:

Improveaccuracy of template generationVSAvoidtemplate generation efficiency

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system performs self-service by automatically analyzing digital documents and generating templates without human intervention. The visual analysis system independently extracts layout structures, identifies design elements, and creates templates, eliminating manual errors and scaling efficiently to handle large volumes of template generation tasks.

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms where the visual analysis system continuously refines its layout extraction based on analyzed documents. By learning from the structural patterns in source documents and adjusting its extraction algorithms, the system improves accuracy over time while maintaining high productivity.

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12443791B2Visual analysis for document import

Publication Date: 2025.10.14 OPEN TEXT CORPORATION

AI summary

Embodiments of the present disclosure extract a layout from a digital image of a document, including performing an analysis of image data to identify areas of content based on a plurality of test lines of pixels in multiple directions and storing the identified areas as design elements of an electronic document template.